Description The Department of Systems and Information Engineering (SIE) within the School of Engineering and Applied Science (SEAS) at the University of Virginia invites applications for the department chair position. For 50 years, our department has been a cornerstone of excellence-educating leaders in engineering and business who make a real-world impact. Today, we continue this tradition through innovative research and education. As we look to the future, we seek a visionary leader and world-class scholar whose experience and achievements merit appointment as a full professor and who can foster a collaborative, innovative, and inclusive environment. This is an opportunity to join a department with a rich history, a culture of excellence, and an ambitious trajectory for the future. About Us The Department of Systems and Information Engineering is the proud academic home to 15 tenure-track faculty, 3 academic general faculty members, and a vibrant community of 150 graduate students and 225 undergraduate students (2nd-4th years). We adopt systems thinking to make sense of the complexity of the world to tackle societal challenges. The department's three broad research areas center around: Human-Technology Interaction, Operations Research/Analytics, and Information & Intelligent Automation. Our department manages an extensive research portfolio with funding from industry, federal agencies, and private foundations. These funds support fellowships, instructional equipment, and innovative research projects enabling our faculty and students to pursue research in numerous dimensions of systems engineering, including operations research, systems thinking, decision theory, robotics, automation, artificial intelligence (AI), human factors, human-computer interaction (HCI), risk analysis, and financial engineering. To support these activities, faculty and graduate students draw on the wide range of research facilities available in the department and participate in several multidisciplinary research centers across the School of Engineering and the University of Virginia. The department has also received two substantial donations from private doners for the creation and funding of two endowed professorships; one in systems thinking and another in operations research/financial engineering. These achievements reflect our department's strength, ambition, and collaborative spirit as we continue to shape the future of systems and information engineering. The Position The new chair will provide leadership for the Department of Systems and Information Engineering, guiding initiatives in strategic planning, faculty and staff development, alumni engagement, and the recruitment of future faculty leaders. The chair will oversee the department's budget and serve as a key liaison with the School of Engineering and Applied Science and University leadership fostering relationships built on integrity, transparency, and collaboration. This role requires a leader with proven management, administrative acumen, and outreach expertise and a strong research and teaching record. The chair should support both faculty and staff driving the department's continued path of growth and success. Responsibilities: Continue to build on the strategic vision and objectives of the SIE department Build and enhance the reputation of SIE at UVA and beyond in the broader systems engineering community Play a key role in supporting and advocating for department programs and initiatives to SEAS and University leadership Play a key role in maintaining alumni engagement and involvement Aid in the department's assessments and accreditation process Work closely with department staff on budgetary and administrative aspects essential for operational success Work closely with the faculty and staff within the department to improve the quality of its undergraduate and graduate programs Support, guide, and mentor faculty, students, and staff in a transparent manner to provide a positive and accountable experience Provide leadership in the development and management of departmental resources Play a key role in the assignment and evaluation of department's faculty and staff service to the departmental, school, and university. Foster excellence in teaching, scholarship, and outreach for faculty and students in the department Support and enable scientific discovery through collaborations within the department and across the University Productively manage, support, and advocate for the departmental staff Facilitate open communication and manage conflict resolution with students, faculty, and staff Serve as a contributing member of the SEAS leadership team Work effectively to foster an inclusive community of students, faculty, and staff within the department About the School of Engineering and Applied Science The UVA School of Engineering and Applied Science (SEAS) brings global challenges into our classrooms and laboratories, giving students opportunities to work closely with world-renowned researchers on issues that have a societal impact. This approach means our students are ready to tackle future challenges and to become leaders in their fields. Our internationally recognized research programs are focused on developing interdisciplinary solutions to society's greatest challenges, while educating the next generation of engineering leaders. Our research spans disciplinary boundaries to make real change for the benefit of society. Major research areas at UVA Engineering include engineering for a sustainable and connected world, engineering for medicine, and engineering for the cyber future. About the University of Virginia UVA is a highly selective undergraduate and graduate institution that annually ranks as one of the premiere public universities in the United States with one of the highest graduation rates in the nation. UVA is in Charlottesville, Virginia, a picturesque and vibrant small city consistently recognized as one of the nation's top places to reside. UVA's location offers proximity to Washington D.C., enriching opportunities for collaboration and engagement with numerous federal agencies. More information about the city, the school, faculty benefits and other topics can be found at . Qualifiations Qualified candidates must hold a PhD in systems engineering, industrial engineering, or closely related technical field and demonstrate sufficient qualifications for appointment as a tenured faculty member at the professor level as outlined in the School's guidelines: Application Instructions Apply for this position in Interfolio (link) . Provide the following in PDF format: Cover letter that summarizes your areas of research/scholarship, and areas of potential collaboration at the University of Virginia. The letter should also describe your leadership philosophy and experience and aspects of your professional development that have prepared you for the position of Chair of Systems and Information Engineering; Curriculum vitae; A statement describing your current research, future directions, and broader impacts; A statement describing your teaching and mentoring practices, especially in regard to a residential learning environment marked by the free and collegial exchange of ideas; A statement describing demonstrated contributions to fostering inclusive practices that create climates in which all stakeholders can achieve their maximum potential (please focus on skills and experience, not beliefs and opinions) A list of 3-5 references with contact details. Review of candidates will begin on March 15, 2025 and will continue until filled. For questions regarding the position, please contact Kevin Skadron, Search Committee Chair, at .
10/22/2025
Full time
Description The Department of Systems and Information Engineering (SIE) within the School of Engineering and Applied Science (SEAS) at the University of Virginia invites applications for the department chair position. For 50 years, our department has been a cornerstone of excellence-educating leaders in engineering and business who make a real-world impact. Today, we continue this tradition through innovative research and education. As we look to the future, we seek a visionary leader and world-class scholar whose experience and achievements merit appointment as a full professor and who can foster a collaborative, innovative, and inclusive environment. This is an opportunity to join a department with a rich history, a culture of excellence, and an ambitious trajectory for the future. About Us The Department of Systems and Information Engineering is the proud academic home to 15 tenure-track faculty, 3 academic general faculty members, and a vibrant community of 150 graduate students and 225 undergraduate students (2nd-4th years). We adopt systems thinking to make sense of the complexity of the world to tackle societal challenges. The department's three broad research areas center around: Human-Technology Interaction, Operations Research/Analytics, and Information & Intelligent Automation. Our department manages an extensive research portfolio with funding from industry, federal agencies, and private foundations. These funds support fellowships, instructional equipment, and innovative research projects enabling our faculty and students to pursue research in numerous dimensions of systems engineering, including operations research, systems thinking, decision theory, robotics, automation, artificial intelligence (AI), human factors, human-computer interaction (HCI), risk analysis, and financial engineering. To support these activities, faculty and graduate students draw on the wide range of research facilities available in the department and participate in several multidisciplinary research centers across the School of Engineering and the University of Virginia. The department has also received two substantial donations from private doners for the creation and funding of two endowed professorships; one in systems thinking and another in operations research/financial engineering. These achievements reflect our department's strength, ambition, and collaborative spirit as we continue to shape the future of systems and information engineering. The Position The new chair will provide leadership for the Department of Systems and Information Engineering, guiding initiatives in strategic planning, faculty and staff development, alumni engagement, and the recruitment of future faculty leaders. The chair will oversee the department's budget and serve as a key liaison with the School of Engineering and Applied Science and University leadership fostering relationships built on integrity, transparency, and collaboration. This role requires a leader with proven management, administrative acumen, and outreach expertise and a strong research and teaching record. The chair should support both faculty and staff driving the department's continued path of growth and success. Responsibilities: Continue to build on the strategic vision and objectives of the SIE department Build and enhance the reputation of SIE at UVA and beyond in the broader systems engineering community Play a key role in supporting and advocating for department programs and initiatives to SEAS and University leadership Play a key role in maintaining alumni engagement and involvement Aid in the department's assessments and accreditation process Work closely with department staff on budgetary and administrative aspects essential for operational success Work closely with the faculty and staff within the department to improve the quality of its undergraduate and graduate programs Support, guide, and mentor faculty, students, and staff in a transparent manner to provide a positive and accountable experience Provide leadership in the development and management of departmental resources Play a key role in the assignment and evaluation of department's faculty and staff service to the departmental, school, and university. Foster excellence in teaching, scholarship, and outreach for faculty and students in the department Support and enable scientific discovery through collaborations within the department and across the University Productively manage, support, and advocate for the departmental staff Facilitate open communication and manage conflict resolution with students, faculty, and staff Serve as a contributing member of the SEAS leadership team Work effectively to foster an inclusive community of students, faculty, and staff within the department About the School of Engineering and Applied Science The UVA School of Engineering and Applied Science (SEAS) brings global challenges into our classrooms and laboratories, giving students opportunities to work closely with world-renowned researchers on issues that have a societal impact. This approach means our students are ready to tackle future challenges and to become leaders in their fields. Our internationally recognized research programs are focused on developing interdisciplinary solutions to society's greatest challenges, while educating the next generation of engineering leaders. Our research spans disciplinary boundaries to make real change for the benefit of society. Major research areas at UVA Engineering include engineering for a sustainable and connected world, engineering for medicine, and engineering for the cyber future. About the University of Virginia UVA is a highly selective undergraduate and graduate institution that annually ranks as one of the premiere public universities in the United States with one of the highest graduation rates in the nation. UVA is in Charlottesville, Virginia, a picturesque and vibrant small city consistently recognized as one of the nation's top places to reside. UVA's location offers proximity to Washington D.C., enriching opportunities for collaboration and engagement with numerous federal agencies. More information about the city, the school, faculty benefits and other topics can be found at . Qualifiations Qualified candidates must hold a PhD in systems engineering, industrial engineering, or closely related technical field and demonstrate sufficient qualifications for appointment as a tenured faculty member at the professor level as outlined in the School's guidelines: Application Instructions Apply for this position in Interfolio (link) . Provide the following in PDF format: Cover letter that summarizes your areas of research/scholarship, and areas of potential collaboration at the University of Virginia. The letter should also describe your leadership philosophy and experience and aspects of your professional development that have prepared you for the position of Chair of Systems and Information Engineering; Curriculum vitae; A statement describing your current research, future directions, and broader impacts; A statement describing your teaching and mentoring practices, especially in regard to a residential learning environment marked by the free and collegial exchange of ideas; A statement describing demonstrated contributions to fostering inclusive practices that create climates in which all stakeholders can achieve their maximum potential (please focus on skills and experience, not beliefs and opinions) A list of 3-5 references with contact details. Review of candidates will begin on March 15, 2025 and will continue until filled. For questions regarding the position, please contact Kevin Skadron, Search Committee Chair, at .
Description The Department of Biochemistry & Molecular Genetics ( ) and the University of Virginia Cancer Center, one of 56 National Cancer Institute-designated Comprehensive Cancer Centers in the nation, seek to expand their cancer research faculty. We invite applicants for Assistant, Associate and Full Professor (tenure-track/tenured) appointments, who address contemporary problems in the biology of aging and cancer. We are particularly interested in the areas of epigenetic regulation, metabolomics and mechanisms of drug resistance. For more information about UVA and the Charlottesville community please see and Qualifiations Candidates must hold a Ph.D. in the life sciences and must have demonstrated the capacity for high-quality scholarship and maintaining an extramurally funded independent research program if at the more senior career stages. Support will include a start-up package, laboratory space, and an exceptionally interactive research environment. Application Instructions To apply, visit and search for Open Rank Professor of Biochemistry and Molecular Genetics. Complete a candidate profile online, attach a cover letter, curriculum vitae, statement of research interest (two pages or less including references), and mentoring philosophy including a description on enhancing diverse perspectives in science. Three letters of recommendation should be submitted electronically, directly to with the applicant's name in the subject heading. For additional information please contact Helen Norfleet-Shiflett, Department of Biochemistry & Molecular Genetics, via telephone or email .
10/22/2025
Full time
Description The Department of Biochemistry & Molecular Genetics ( ) and the University of Virginia Cancer Center, one of 56 National Cancer Institute-designated Comprehensive Cancer Centers in the nation, seek to expand their cancer research faculty. We invite applicants for Assistant, Associate and Full Professor (tenure-track/tenured) appointments, who address contemporary problems in the biology of aging and cancer. We are particularly interested in the areas of epigenetic regulation, metabolomics and mechanisms of drug resistance. For more information about UVA and the Charlottesville community please see and Qualifiations Candidates must hold a Ph.D. in the life sciences and must have demonstrated the capacity for high-quality scholarship and maintaining an extramurally funded independent research program if at the more senior career stages. Support will include a start-up package, laboratory space, and an exceptionally interactive research environment. Application Instructions To apply, visit and search for Open Rank Professor of Biochemistry and Molecular Genetics. Complete a candidate profile online, attach a cover letter, curriculum vitae, statement of research interest (two pages or less including references), and mentoring philosophy including a description on enhancing diverse perspectives in science. Three letters of recommendation should be submitted electronically, directly to with the applicant's name in the subject heading. For additional information please contact Helen Norfleet-Shiflett, Department of Biochemistry & Molecular Genetics, via telephone or email .
The Department of Medicine's Division of General, Geriatric, and Palliative Medicine at the University of Virginia seeks a recognized leader in transdisciplinary geriatric and gerontological research. This prestigious role will provide leadership, direction, and innovation in furthering the Department s research program on aging at the University of Virginia School of Medicine. This position will collaborate with several entities across UVA, both within the School of Medicine and across UVA s Schools, creating and sustaining partnerships for cutting-edge aging research. The selected candidate will hold an MD/DO, MD/PhD, DO/PhD, or PhD in an allied field of gerontological research. For candidates holding a PhD without an MD or DO, preference will be given to those with prior or current work experience in aging care (e.g. neuropsychology, clinical psychology, nursing, social work, etcetera). The selected candidate will be a nationally recognized researcher with a strong track record of extramural-funded research, sustained scholarly productivity, and the capacity for ambitious and innovative thinking in the field of aging. Where appropriate, in addition to research, the selected candidate may sustain a partial clinical practice caring for older adults in UVA Health s clinical settings. The Charlottesville and Central Virginia area offers an outstanding community for personal and professional activities. The region has a strong sense of community and excellent educational systems for adults and children. Charlottesville is located in the foothills of the Blue Ridge Mountains and is consistently listed among the top cities in national rankings of the most desirable places to live. It offers a thriving community in the arts, highlighted by literary, film, theatrical, and festivals. It is an excellent place to live and work. The city is within easy driving distance of Washington, D.C., the coastal regions of Virginia, and the Outer Banks of North Carolina. Qualifications Physician candidates must have an MD or DO, and be board-certified in Internal Medicine or Family Medicine. Certification (certificate of added qualification) in Geriatric Medicine is also required. Rank and tenure status will be determined by qualifications. Application Instructions Please visit to apply and submit all required documents. The selected candidate will undergo a background check and pre-employment health/drug screening. The University of Virginia is an equal opportunity employer. All interested persons are encouraged to apply, including veterans and individuals with disabilities. Click here to read more about UVA s commitment to non-discrimination and equal opportunity employment.
10/18/2025
Full time
The Department of Medicine's Division of General, Geriatric, and Palliative Medicine at the University of Virginia seeks a recognized leader in transdisciplinary geriatric and gerontological research. This prestigious role will provide leadership, direction, and innovation in furthering the Department s research program on aging at the University of Virginia School of Medicine. This position will collaborate with several entities across UVA, both within the School of Medicine and across UVA s Schools, creating and sustaining partnerships for cutting-edge aging research. The selected candidate will hold an MD/DO, MD/PhD, DO/PhD, or PhD in an allied field of gerontological research. For candidates holding a PhD without an MD or DO, preference will be given to those with prior or current work experience in aging care (e.g. neuropsychology, clinical psychology, nursing, social work, etcetera). The selected candidate will be a nationally recognized researcher with a strong track record of extramural-funded research, sustained scholarly productivity, and the capacity for ambitious and innovative thinking in the field of aging. Where appropriate, in addition to research, the selected candidate may sustain a partial clinical practice caring for older adults in UVA Health s clinical settings. The Charlottesville and Central Virginia area offers an outstanding community for personal and professional activities. The region has a strong sense of community and excellent educational systems for adults and children. Charlottesville is located in the foothills of the Blue Ridge Mountains and is consistently listed among the top cities in national rankings of the most desirable places to live. It offers a thriving community in the arts, highlighted by literary, film, theatrical, and festivals. It is an excellent place to live and work. The city is within easy driving distance of Washington, D.C., the coastal regions of Virginia, and the Outer Banks of North Carolina. Qualifications Physician candidates must have an MD or DO, and be board-certified in Internal Medicine or Family Medicine. Certification (certificate of added qualification) in Geriatric Medicine is also required. Rank and tenure status will be determined by qualifications. Application Instructions Please visit to apply and submit all required documents. The selected candidate will undergo a background check and pre-employment health/drug screening. The University of Virginia is an equal opportunity employer. All interested persons are encouraged to apply, including veterans and individuals with disabilities. Click here to read more about UVA s commitment to non-discrimination and equal opportunity employment.
Description The School of Data Science at the University of Virginia (UVA) is assembling a world-class faculty with broad expertise in data science to foster and advance our research agenda and educational programs. We are searching to fill multiple open rank tenured or tenure-track professorships in data science . At the School of Data Science, tenured and tenure-track faculty develop internationally recognized research programs, successfully compete for external research funding, instruct classes (in-person and online), and advise and mentor undergraduate and graduate students. We seek candidates with an innovative spirit who have strong skills in data science research, pedagogy, and advising. Faculty will have the unique opportunity to shape the culture and direction of both a new discipline and a new school. Our curriculum is organized around the data science domains (listed below), and ideal applicants can teach in one or more of these domains. Data Systems (e.g., high-performance computing, continuous integration and deployment (CI/CD) of data science tools, cloud architectures, federated learning, data sharing) Data Design (e.g., visualization, human-computer interaction, communication) Data Ethics, Critical Data Studies & Policy (e.g., representativeness, privacy, ethics of algorithmic construction, interpretability) Machine Learning and Analytics (e.g., predictive modeling, algorithm development, statistical methods, graph theory) The school is open to all areas of research and scholarship in data science. Presently, the school is especially looking to grow in the following areas.Generative AI, large language models, and trustworthy AIHealth data science (e.g., neuroscience, biomedicine, and genetics/genomics)Data and Society/Democracy (e.g., ethics, social justice, and the impact of data on society)Sports Data Science and human development (e.g., human movement, computer vision, and analytics)Data science in education (e.g., AI in the classroom, data-driven educational strategies, data-centric teaching methods)When applying, candidates should detail their research expertise and interests, their instructional experience, preferred teaching domain, and other scholarly interests.Qualifiations Candidates must have earned, or be on track to earn, a PhD in Data Science or a related field (e.g., STEM, social science, or humanities degree with a data science focus) by August 2026 or appointment start date . Candidates with backgrounds and experiences that are underrepresented in data science are especially encouraged to apply. A commitment to advancing the University's mission is essential for all candidates ( ). Candidates for senior ranks (associate and full with tenure) must have a demonstrated record of excellence in research, teaching, and advising, in data science and/or closely related fields, and must have established a national/international reputation for contribution to the field in methodology, application, and impact. Candidates for assistant rank (tenure-track) must demonstrate the potential for excellence in methodological development and scientific impact in data science or a related field and have prior experience in educational-related activities.Rank will be commensurate with academic and industry experience. Appointments are available on 9-month contracts.Application Instructions Complete an online application and include the following: A Current Curriculum Vitae or Resume. A Cover Letter that addresses your experience and qualifications for this position and your interest in data science. A research statement that describes your past research endeavors and contributions, as well as your future research goals (1-3 pages). A teaching statement that describes your teaching and mentoring experiences, and how they align with the UVA's mission statement ( ). This statement should focus on your past or planned educational activities and how you see data science education evolving over the next decade (1-3 pages). Three reference letters. If available, reviews & course evaluations from up to 3 educational courses, seminars, and/or short courses. Review of applicants will begin on or around November 22, 2025 and the positions will remain open until filled.For questions about the application process please contact Jennifer Kirkham, Manager for Faculty Affairs at the School of Data Science, at .
10/18/2025
Full time
Description The School of Data Science at the University of Virginia (UVA) is assembling a world-class faculty with broad expertise in data science to foster and advance our research agenda and educational programs. We are searching to fill multiple open rank tenured or tenure-track professorships in data science . At the School of Data Science, tenured and tenure-track faculty develop internationally recognized research programs, successfully compete for external research funding, instruct classes (in-person and online), and advise and mentor undergraduate and graduate students. We seek candidates with an innovative spirit who have strong skills in data science research, pedagogy, and advising. Faculty will have the unique opportunity to shape the culture and direction of both a new discipline and a new school. Our curriculum is organized around the data science domains (listed below), and ideal applicants can teach in one or more of these domains. Data Systems (e.g., high-performance computing, continuous integration and deployment (CI/CD) of data science tools, cloud architectures, federated learning, data sharing) Data Design (e.g., visualization, human-computer interaction, communication) Data Ethics, Critical Data Studies & Policy (e.g., representativeness, privacy, ethics of algorithmic construction, interpretability) Machine Learning and Analytics (e.g., predictive modeling, algorithm development, statistical methods, graph theory) The school is open to all areas of research and scholarship in data science. Presently, the school is especially looking to grow in the following areas.Generative AI, large language models, and trustworthy AIHealth data science (e.g., neuroscience, biomedicine, and genetics/genomics)Data and Society/Democracy (e.g., ethics, social justice, and the impact of data on society)Sports Data Science and human development (e.g., human movement, computer vision, and analytics)Data science in education (e.g., AI in the classroom, data-driven educational strategies, data-centric teaching methods)When applying, candidates should detail their research expertise and interests, their instructional experience, preferred teaching domain, and other scholarly interests.Qualifiations Candidates must have earned, or be on track to earn, a PhD in Data Science or a related field (e.g., STEM, social science, or humanities degree with a data science focus) by August 2026 or appointment start date . Candidates with backgrounds and experiences that are underrepresented in data science are especially encouraged to apply. A commitment to advancing the University's mission is essential for all candidates ( ). Candidates for senior ranks (associate and full with tenure) must have a demonstrated record of excellence in research, teaching, and advising, in data science and/or closely related fields, and must have established a national/international reputation for contribution to the field in methodology, application, and impact. Candidates for assistant rank (tenure-track) must demonstrate the potential for excellence in methodological development and scientific impact in data science or a related field and have prior experience in educational-related activities.Rank will be commensurate with academic and industry experience. Appointments are available on 9-month contracts.Application Instructions Complete an online application and include the following: A Current Curriculum Vitae or Resume. A Cover Letter that addresses your experience and qualifications for this position and your interest in data science. A research statement that describes your past research endeavors and contributions, as well as your future research goals (1-3 pages). A teaching statement that describes your teaching and mentoring experiences, and how they align with the UVA's mission statement ( ). This statement should focus on your past or planned educational activities and how you see data science education evolving over the next decade (1-3 pages). Three reference letters. If available, reviews & course evaluations from up to 3 educational courses, seminars, and/or short courses. Review of applicants will begin on or around November 22, 2025 and the positions will remain open until filled.For questions about the application process please contact Jennifer Kirkham, Manager for Faculty Affairs at the School of Data Science, at .
Description The School of Engineering & Applied Science (SEAS) at the University of Virginia (UVa) seeks candidates for a tenure-eligible or tenured position in the Department of Electrical and Computer Engineering . The primary responsibilities for this position include research, teaching, and service to the department, university, and professional community. The appointment rank and compensation will be commensurate with experience and qualifications. The search is in the general area of neuroimaging, brain function and connectivity, and artificial intelligence, with applications to neuroscience and/or neuro-degenerative disorders. The school is especially interested in candidates who are interested in developing technologies that will enable a comprehensive understanding of the brain. Strategic integration of computational methods such as machine learning, signal processing, network theory, and a focus on application to neurological disorders including autism and Alzheimer's disease, is desirable. Example research areas include, but are not limited to Neuroimaging Investigation of brain function and connectivity at multiple scales Brain machine interfaces and neural signal processing Neuromodulation and stimulation Neuroinformatics The Electrical and Computer Engineering (ECE) Department at the University of Virginia (UVA offers a vibrant environment for interdisciplinary research and collaboration, with strengths in areas such as machine learning, imaging, cyber-physical systems, embedded systems, communication networks, and energy systems. ECE at UVA emphasizes both foundational and applied research, preparing students for leadership in industry, academia, and government. Faculty members benefit from access to cutting-edge facilities and are encouraged to engage in research that addresses societal challenges. The close proximity with the School of Medicine offers rich opportunities for collaborations in the areas of Radiology, Neurology and Neuroscience, and Neurosurgery. Other collaborative opportunities include Biomedical Engineering, Psychology, and School of Data Science. The University of Virginia's 2030 plan recognizes the Brain and Neuroscience as a major societal challenge and an opportunity for multidisciplinary work that draws on our existing strengths. In partnership the Provost and the deans of various schools are making multiple coordinated faculty recruitments to strengthen the research community focusing on Brain and Neuroscience across the University. Recruits will receive support from the Provost and from their school and will participate in the Brain and Neuroscience Initiative. This is part of a major Grand Challenges research investment of over $50M in Brain and Neuroscience. This position is based in Charlottesville at our principal location. UVA is a highly selective undergraduate and graduate institution that annually ranks as one of the premiere public universities in the United States, with one of the highest graduation rates in the nation. UVA is situated in Charlottesville, Virginia, a picturesque and vibrant small city consistently recognized as one of the nation's top places to reside. UVA's location offers proximity to Washington D.C., enriching opportunities for collaboration and engagement with numerous federal organizations. More information about the city, the school, faculty benefits and other topics can be found at . Qualifiations Candidates must have received a doctorate or equivalent in electrical engineering, computer science, biomedical engineering or related areas by the start of their appointment. Evidence of a commitment to high-impact scholarship, funded research, undergraduate- and graduate-level teaching and advising excellence, professional and university service, and mentoring are expected. In conjunction with these positions, senior graduate students are eligible and encouraged to consider the UVA Engineering Rising Scholars program. This program is designed to encourage early-career scholars to pursue a career in academia by supporting their postdoctoral work before beginning in a tenure-track position at the University of Virginia. Detailed information and application instructions are available at . Application Instructions Apply for this position in Interfolio . Provide the following in PDF format: Cover letter that summarizes your areas of research/scholarship, and areas of potential collaboration at the University of Virginia. To help us organize our review of applications, please also specifically list your primary areas of research in boldface at the top of your letter Curriculum vitae A statement describing your current research, future directions, and broader impacts; A statement describing your teaching and mentoring practices, especially in regard to a residential learning environment marked by the free and collegial exchange of ideas; A statement describing demonstrated contributions to fostering inclusive practices that create climates in which all stakeholders can achieve their maximum potential (please focus on skills and experience, not beliefs and opinions) A single file that includes two research papers that best represent your work You will also request 3-5 references directly in Interfolio by providing names and contact information in the application. These reference requests will be generated immediately once you submit your application. Review of applications will begin on November 1, 2024 and will continue until the position is filled. The University will perform background checks on all new faculty hires prior to making a final offer of employment. For questions about these positions, please contact Mathews Jacob, Professor, Electrical and Computer Engineering at .
10/17/2025
Full time
Description The School of Engineering & Applied Science (SEAS) at the University of Virginia (UVa) seeks candidates for a tenure-eligible or tenured position in the Department of Electrical and Computer Engineering . The primary responsibilities for this position include research, teaching, and service to the department, university, and professional community. The appointment rank and compensation will be commensurate with experience and qualifications. The search is in the general area of neuroimaging, brain function and connectivity, and artificial intelligence, with applications to neuroscience and/or neuro-degenerative disorders. The school is especially interested in candidates who are interested in developing technologies that will enable a comprehensive understanding of the brain. Strategic integration of computational methods such as machine learning, signal processing, network theory, and a focus on application to neurological disorders including autism and Alzheimer's disease, is desirable. Example research areas include, but are not limited to Neuroimaging Investigation of brain function and connectivity at multiple scales Brain machine interfaces and neural signal processing Neuromodulation and stimulation Neuroinformatics The Electrical and Computer Engineering (ECE) Department at the University of Virginia (UVA offers a vibrant environment for interdisciplinary research and collaboration, with strengths in areas such as machine learning, imaging, cyber-physical systems, embedded systems, communication networks, and energy systems. ECE at UVA emphasizes both foundational and applied research, preparing students for leadership in industry, academia, and government. Faculty members benefit from access to cutting-edge facilities and are encouraged to engage in research that addresses societal challenges. The close proximity with the School of Medicine offers rich opportunities for collaborations in the areas of Radiology, Neurology and Neuroscience, and Neurosurgery. Other collaborative opportunities include Biomedical Engineering, Psychology, and School of Data Science. The University of Virginia's 2030 plan recognizes the Brain and Neuroscience as a major societal challenge and an opportunity for multidisciplinary work that draws on our existing strengths. In partnership the Provost and the deans of various schools are making multiple coordinated faculty recruitments to strengthen the research community focusing on Brain and Neuroscience across the University. Recruits will receive support from the Provost and from their school and will participate in the Brain and Neuroscience Initiative. This is part of a major Grand Challenges research investment of over $50M in Brain and Neuroscience. This position is based in Charlottesville at our principal location. UVA is a highly selective undergraduate and graduate institution that annually ranks as one of the premiere public universities in the United States, with one of the highest graduation rates in the nation. UVA is situated in Charlottesville, Virginia, a picturesque and vibrant small city consistently recognized as one of the nation's top places to reside. UVA's location offers proximity to Washington D.C., enriching opportunities for collaboration and engagement with numerous federal organizations. More information about the city, the school, faculty benefits and other topics can be found at . Qualifiations Candidates must have received a doctorate or equivalent in electrical engineering, computer science, biomedical engineering or related areas by the start of their appointment. Evidence of a commitment to high-impact scholarship, funded research, undergraduate- and graduate-level teaching and advising excellence, professional and university service, and mentoring are expected. In conjunction with these positions, senior graduate students are eligible and encouraged to consider the UVA Engineering Rising Scholars program. This program is designed to encourage early-career scholars to pursue a career in academia by supporting their postdoctoral work before beginning in a tenure-track position at the University of Virginia. Detailed information and application instructions are available at . Application Instructions Apply for this position in Interfolio . Provide the following in PDF format: Cover letter that summarizes your areas of research/scholarship, and areas of potential collaboration at the University of Virginia. To help us organize our review of applications, please also specifically list your primary areas of research in boldface at the top of your letter Curriculum vitae A statement describing your current research, future directions, and broader impacts; A statement describing your teaching and mentoring practices, especially in regard to a residential learning environment marked by the free and collegial exchange of ideas; A statement describing demonstrated contributions to fostering inclusive practices that create climates in which all stakeholders can achieve their maximum potential (please focus on skills and experience, not beliefs and opinions) A single file that includes two research papers that best represent your work You will also request 3-5 references directly in Interfolio by providing names and contact information in the application. These reference requests will be generated immediately once you submit your application. Review of applications will begin on November 1, 2024 and will continue until the position is filled. The University will perform background checks on all new faculty hires prior to making a final offer of employment. For questions about these positions, please contact Mathews Jacob, Professor, Electrical and Computer Engineering at .
Description The Department of Public Health Sciences (PHS) , School of Medicine, at the University of Virginia (UVA) and UVA Comprehensive Cancer Center (UVACC) invites talented researchers to join an exemplary team of investigators to advance precision health strategies directed to cancer prevention and control and reducing cancer disparities. Applicants are sought at the rank of Assistant, Associate or Full Professor with a terminal degree (e.g., PhD, MD, ScD) to apply for tenure-track/eligible faculty positions supported under a newly announced Precision Health initiative. The University of Virginia's 2030 plan recognizes Precision Health as a major societal challenge and an opportunity for multidisciplinary work that draws on our existing strengths . In partnership the Provost and the deans of various schools are making multiple coordinated faculty recruitments to strengthen the research community focusing on Precision Health for Populations across the University. Recruits will receive support from the Provost and from their school and will participate in the Precision Health for Populations Initiative. This is part of a major Grand Challenges research investment of over $50M in Precision Medicine/Precision Health.Cancer Data Scientist (Open rank). We are seeking exceptional candidates trained in cancer epidemiology and/or data sciences to envision, plan and conduct innovative research to advance the science of personalized cancer prevention and risk prediction to discover and advance optimal strategies or approaches to prevent cancer incidence and/or recurrence. The driving goals of this UVA sponsored Precision Health Initiative are to broaden our ability to effectively prevent, diagnose, and /or delay cancer processes in diverse populations. As such, we envision this scope of work to involve individual, social, clinical and community-level factors. Faculty hired under this initiative will have a primary appointment in PHS and membership in the UVACC's Cancer Prevention and Population Health research program. The successful faculty candidate will be supported to develop world-leading independent scientific programs to advance our understanding of cancer prevention and conduct next generation translational research driven by data science, artificial intelligence, machine learning, computer science, and other emerging areas in cancer research. Applicants must have evidence of peer-reviewed funded research in areas such as cancer etiology, outcomes, biomarkers, screening, early detection, or therapeutics. UVACC priority cancers include lung, breast, GI, prostate, cervical or melanoma based on disparity and population burden within our catchment area.Qualifiations Qualified candidates must have Ph.D. or terminal degree with at least three years of experience. Application Instructions This position will remain open until filled. The University will perform background checks on all new hires prior to employment. A completed pre-employment health screen is required for this position prior to employment. To Apply:Complete an application online with the following documents: CV Cover Letter - please include how you learned about this position Contact information for at least 3 references Applications that do not contain all required documents will not receive full consideration. For questions about the application process, please contact Roger Anderson at .
10/17/2025
Full time
Description The Department of Public Health Sciences (PHS) , School of Medicine, at the University of Virginia (UVA) and UVA Comprehensive Cancer Center (UVACC) invites talented researchers to join an exemplary team of investigators to advance precision health strategies directed to cancer prevention and control and reducing cancer disparities. Applicants are sought at the rank of Assistant, Associate or Full Professor with a terminal degree (e.g., PhD, MD, ScD) to apply for tenure-track/eligible faculty positions supported under a newly announced Precision Health initiative. The University of Virginia's 2030 plan recognizes Precision Health as a major societal challenge and an opportunity for multidisciplinary work that draws on our existing strengths . In partnership the Provost and the deans of various schools are making multiple coordinated faculty recruitments to strengthen the research community focusing on Precision Health for Populations across the University. Recruits will receive support from the Provost and from their school and will participate in the Precision Health for Populations Initiative. This is part of a major Grand Challenges research investment of over $50M in Precision Medicine/Precision Health.Cancer Data Scientist (Open rank). We are seeking exceptional candidates trained in cancer epidemiology and/or data sciences to envision, plan and conduct innovative research to advance the science of personalized cancer prevention and risk prediction to discover and advance optimal strategies or approaches to prevent cancer incidence and/or recurrence. The driving goals of this UVA sponsored Precision Health Initiative are to broaden our ability to effectively prevent, diagnose, and /or delay cancer processes in diverse populations. As such, we envision this scope of work to involve individual, social, clinical and community-level factors. Faculty hired under this initiative will have a primary appointment in PHS and membership in the UVACC's Cancer Prevention and Population Health research program. The successful faculty candidate will be supported to develop world-leading independent scientific programs to advance our understanding of cancer prevention and conduct next generation translational research driven by data science, artificial intelligence, machine learning, computer science, and other emerging areas in cancer research. Applicants must have evidence of peer-reviewed funded research in areas such as cancer etiology, outcomes, biomarkers, screening, early detection, or therapeutics. UVACC priority cancers include lung, breast, GI, prostate, cervical or melanoma based on disparity and population burden within our catchment area.Qualifiations Qualified candidates must have Ph.D. or terminal degree with at least three years of experience. Application Instructions This position will remain open until filled. The University will perform background checks on all new hires prior to employment. A completed pre-employment health screen is required for this position prior to employment. To Apply:Complete an application online with the following documents: CV Cover Letter - please include how you learned about this position Contact information for at least 3 references Applications that do not contain all required documents will not receive full consideration. For questions about the application process, please contact Roger Anderson at .
Description The School of Engineering & Applied Science (SEAS) at the University of Virginia (UVa) seeks candidates for an open rank tenure-eligible or tenured position in the Department of Civil and Environmental Engineering (CEE) The primary responsibilities for this position include research, teaching, and service to the department, university, and professional community. The appointment rank and compensation will be commensurate with experience and qualifications. Our department has academic programming and research strengths in core civil and environmental areas such as transportation, environmental, water resources, structural, and construction engineering. Our research portfolio is also especially strong in three interdisciplinary areas applying innovative methodologies to the traditional domains in order to solve pressing societal challenges i.e., the Built Environment, Sustainable Systems, and Smart Cities. More information on these areas can be found at . Our department has experienced strong growth in external funding and graduate programs, with approximately 22 faculty, 125 graduate students, 123 undergraduate students, and over $4 million in annual research expenditures. The University of Virginia's 2030 plan recognizes Environmental Resilience and Sustainability as a major societal challenge and an opportunity for impactful multidisciplinary work that draws on our department's existing strengths. The Provost and the deans of various schools are making multiple coordinated faculty hires to strengthen the research community focusing on Environmental Resilience and Sustainability across the University as part of a major Grand Challenges research investment of over $50M in Environmental Resilience and Sustainability . The department seeks applications from candidates who can complement our existing interdisciplinary strengths enhancing the resilience of civil infrastructure to climate-induced threats such as droughts, floods, landslides, permafrost thaw, tornadoes, hurricanes, wildfires, and sea level rise, among others. This CEE position is part of a 3-faculty cluster (with the other positions in the School of Data Science and the Department of Environmental Science) that is focused on bridging global-scale climate dynamics with community-scale processes and systems to guide decision-making for equitable climate resilience and sustainability outcomes. Candidates should have methodological expertise in data science, artificial intelligence/machine learning, agent-based modeling, and/or stochastic modeling, applying such tools to improve civil infrastructure systems. We especially encourage applications from researchers who are enthusiastic about community-engaged research, with previous experience in sociodynamic modeling and/or local decision support. Finally, candidates should have strong interest in and capacity to teach undergraduate and graduate courses in civil and environmental engineering. This position is based in Charlottesville at our principal location. UVA is a highly selective undergraduate and graduate institution that annually ranks as one of the premiere public universities in the United States, with one of the highest graduation rates in the nation. UVA is situated in Charlottesville, Virginia, a picturesque and vibrant small city consistently recognized as one of the nation's top places to reside. UVA's location offers proximity to Washington D.C., enriching opportunities for collaboration and engagement with numerous federal organizations. More information about the city, the school, faculty benefits, and other topics can be found at . Qualifiations Candidates must have received a doctorate or equivalent in civil or environmental engineering by the start of their appointment. Evidence of a commitment to high-impact scholarship, funded research, undergraduate- and graduate-level teaching and advising excellence, professional and university service, and mentoring are expected. In conjunction with these positions, senior graduate students are eligible and encouraged to consider the UVA Engineering Rising Scholars program. This program is designed to encourage early-career scholars to pursue a career in academia by supporting their postdoctoral work before beginning in a tenure-track position at the University of Virginia. Detailed information and application instructions are available at . Application Instructions Apply for this position in Interfolio . Provide the following in PDF format: Cover letter that summarizes your areas of research/scholarship, and areas of potential collaboration at the University of Virginia. To help us organize our review of applications, please also specifically list your primary areas of research in boldface at the top of your letter Curriculum vitae A statement describing your current research, future directions, and broader impacts; A statement describing your teaching and mentoring practices, especially in regard to a residential learning environment marked by the free and collegial exchange of ideas; A statement describing demonstrated contributions to fostering inclusive practices that create climates in which all stakeholders can achieve their maximum potential (please focus on skills and experience, not beliefs and opinions) A single file that includes two research papers that best represent your work You will also request 3-5 references directly in Interfolio by providing names and contact information in the application. These reference requests will be generated immediately once you submit your application. Review of applications will begin on October 15, 2024, and will continue until the position is filled. The University will perform background checks on all new faculty hires prior to making a final offer of employment. For questions about these positions, please contact the Search Chair, Venkataraman Lakshmi, John L Newcomb Professor, at .
10/17/2025
Full time
Description The School of Engineering & Applied Science (SEAS) at the University of Virginia (UVa) seeks candidates for an open rank tenure-eligible or tenured position in the Department of Civil and Environmental Engineering (CEE) The primary responsibilities for this position include research, teaching, and service to the department, university, and professional community. The appointment rank and compensation will be commensurate with experience and qualifications. Our department has academic programming and research strengths in core civil and environmental areas such as transportation, environmental, water resources, structural, and construction engineering. Our research portfolio is also especially strong in three interdisciplinary areas applying innovative methodologies to the traditional domains in order to solve pressing societal challenges i.e., the Built Environment, Sustainable Systems, and Smart Cities. More information on these areas can be found at . Our department has experienced strong growth in external funding and graduate programs, with approximately 22 faculty, 125 graduate students, 123 undergraduate students, and over $4 million in annual research expenditures. The University of Virginia's 2030 plan recognizes Environmental Resilience and Sustainability as a major societal challenge and an opportunity for impactful multidisciplinary work that draws on our department's existing strengths. The Provost and the deans of various schools are making multiple coordinated faculty hires to strengthen the research community focusing on Environmental Resilience and Sustainability across the University as part of a major Grand Challenges research investment of over $50M in Environmental Resilience and Sustainability . The department seeks applications from candidates who can complement our existing interdisciplinary strengths enhancing the resilience of civil infrastructure to climate-induced threats such as droughts, floods, landslides, permafrost thaw, tornadoes, hurricanes, wildfires, and sea level rise, among others. This CEE position is part of a 3-faculty cluster (with the other positions in the School of Data Science and the Department of Environmental Science) that is focused on bridging global-scale climate dynamics with community-scale processes and systems to guide decision-making for equitable climate resilience and sustainability outcomes. Candidates should have methodological expertise in data science, artificial intelligence/machine learning, agent-based modeling, and/or stochastic modeling, applying such tools to improve civil infrastructure systems. We especially encourage applications from researchers who are enthusiastic about community-engaged research, with previous experience in sociodynamic modeling and/or local decision support. Finally, candidates should have strong interest in and capacity to teach undergraduate and graduate courses in civil and environmental engineering. This position is based in Charlottesville at our principal location. UVA is a highly selective undergraduate and graduate institution that annually ranks as one of the premiere public universities in the United States, with one of the highest graduation rates in the nation. UVA is situated in Charlottesville, Virginia, a picturesque and vibrant small city consistently recognized as one of the nation's top places to reside. UVA's location offers proximity to Washington D.C., enriching opportunities for collaboration and engagement with numerous federal organizations. More information about the city, the school, faculty benefits, and other topics can be found at . Qualifiations Candidates must have received a doctorate or equivalent in civil or environmental engineering by the start of their appointment. Evidence of a commitment to high-impact scholarship, funded research, undergraduate- and graduate-level teaching and advising excellence, professional and university service, and mentoring are expected. In conjunction with these positions, senior graduate students are eligible and encouraged to consider the UVA Engineering Rising Scholars program. This program is designed to encourage early-career scholars to pursue a career in academia by supporting their postdoctoral work before beginning in a tenure-track position at the University of Virginia. Detailed information and application instructions are available at . Application Instructions Apply for this position in Interfolio . Provide the following in PDF format: Cover letter that summarizes your areas of research/scholarship, and areas of potential collaboration at the University of Virginia. To help us organize our review of applications, please also specifically list your primary areas of research in boldface at the top of your letter Curriculum vitae A statement describing your current research, future directions, and broader impacts; A statement describing your teaching and mentoring practices, especially in regard to a residential learning environment marked by the free and collegial exchange of ideas; A statement describing demonstrated contributions to fostering inclusive practices that create climates in which all stakeholders can achieve their maximum potential (please focus on skills and experience, not beliefs and opinions) A single file that includes two research papers that best represent your work You will also request 3-5 references directly in Interfolio by providing names and contact information in the application. These reference requests will be generated immediately once you submit your application. Review of applications will begin on October 15, 2024, and will continue until the position is filled. The University will perform background checks on all new faculty hires prior to making a final offer of employment. For questions about these positions, please contact the Search Chair, Venkataraman Lakshmi, John L Newcomb Professor, at .
Description The School of Data Science at the University of Virginia (UVA) is assembling a world-class faculty with broad expertise in data science to foster and advance our research agenda and educational programs. We seek candidates for the Quantitative Foundation professorship in data science, at the rank of tenured associate professor or distinguished full professor . Ideal candidates will have demonstrated internationally recognized achievement in data science and made fundamental contributions to the discipline. The endowed positions are made possible by a generous gift from the Quantitative Foundation to establish the School of Data Science. Candidates for endowed faculty positions (associate and full professor with tenure) must demonstrate a record of excellence in research, teaching, and advising, in data science and/or closely related fields, and must have established a national/international reputation for contribution to the field in methodology, application, and impact. Quantitative Foundation endowed faculty are expected to maintain internationally recognized research programs, successfully compete for external research funding, instruct classes (in-person and online), and advise and mentor undergraduate and graduate students. They are expected to elevate the school's reputation as an internationally recognized leader in data science. Enthusiasm for growing and educating the next generation of data scientists, both at the undergraduate and graduate level, is highly desirable. Faculty will have a unique opportunity to shape the culture and direction of both a new discipline and a new school.Qualifiations Candidates must have earned a PhD in Data Science or a related field (e.g., STEM, social science or humanities degree with a data science focus). Appointments are made in the School of Data Science with the potential for joint or courtesy appointments in other schools as applicable. Candidates with backgrounds and experiences that are underrepresented in data science are especially encouraged to apply. A commitment to advancing the University's mission is essential for all candidates ( ). Rank will be commensurate with academic and industry experience. Appointments will be available on 9-month contracts.Application Instructions Complete an online application and include the following. A current Curriculum Vitae or Resume. A Cover Letter that addresses your experience and qualification for this position and your interest in data science. Please describe your past research endeavors and contributions as well as your future research goals (1-3 pages). A teaching statement that describes your teaching and mentoring experiences, and how they align with the UVA's mission statement ( ). This statement should focus on your past or planned educational activities and how you see data science education evolving over the next decade (1-3 pages). Three reference letters. If available, reviews & course evaluations from up to 3 educational courses, seminars, and/or short courses. Review of applicants will begin on or around November 22, 2025 and the positions will remain open until filled. For questions about the application process please contact Jennifer Kirkham, Manager for Faculty Affairs at the School of Data Science, at .
10/16/2025
Full time
Description The School of Data Science at the University of Virginia (UVA) is assembling a world-class faculty with broad expertise in data science to foster and advance our research agenda and educational programs. We seek candidates for the Quantitative Foundation professorship in data science, at the rank of tenured associate professor or distinguished full professor . Ideal candidates will have demonstrated internationally recognized achievement in data science and made fundamental contributions to the discipline. The endowed positions are made possible by a generous gift from the Quantitative Foundation to establish the School of Data Science. Candidates for endowed faculty positions (associate and full professor with tenure) must demonstrate a record of excellence in research, teaching, and advising, in data science and/or closely related fields, and must have established a national/international reputation for contribution to the field in methodology, application, and impact. Quantitative Foundation endowed faculty are expected to maintain internationally recognized research programs, successfully compete for external research funding, instruct classes (in-person and online), and advise and mentor undergraduate and graduate students. They are expected to elevate the school's reputation as an internationally recognized leader in data science. Enthusiasm for growing and educating the next generation of data scientists, both at the undergraduate and graduate level, is highly desirable. Faculty will have a unique opportunity to shape the culture and direction of both a new discipline and a new school.Qualifiations Candidates must have earned a PhD in Data Science or a related field (e.g., STEM, social science or humanities degree with a data science focus). Appointments are made in the School of Data Science with the potential for joint or courtesy appointments in other schools as applicable. Candidates with backgrounds and experiences that are underrepresented in data science are especially encouraged to apply. A commitment to advancing the University's mission is essential for all candidates ( ). Rank will be commensurate with academic and industry experience. Appointments will be available on 9-month contracts.Application Instructions Complete an online application and include the following. A current Curriculum Vitae or Resume. A Cover Letter that addresses your experience and qualification for this position and your interest in data science. Please describe your past research endeavors and contributions as well as your future research goals (1-3 pages). A teaching statement that describes your teaching and mentoring experiences, and how they align with the UVA's mission statement ( ). This statement should focus on your past or planned educational activities and how you see data science education evolving over the next decade (1-3 pages). Three reference letters. If available, reviews & course evaluations from up to 3 educational courses, seminars, and/or short courses. Review of applicants will begin on or around November 22, 2025 and the positions will remain open until filled. For questions about the application process please contact Jennifer Kirkham, Manager for Faculty Affairs at the School of Data Science, at .
Description The University of Virginia Department of Anesthesiology is seeking a Division Chief for Pediatric Anesthesiology. At a minimum, the open position requires the applicant have served in an academic faculty position as a pediatric anesthesiologist for at least 3 years and have significant leadership experience. The Division Chief for Pediatric Anesthesiology is responsible for promoting excellence in the provision of perioperative care for patients undergoing pediatric surgery or procedures across all clinical locations. The division chief will be responsible for maintaining and improving the quality and efficiency of anesthesia services provided for the aforementioned surgical and procedural populations. The chief is also responsible for creating and executing a vision and a strategy for the division to contribute to the department's and UVA Health's academic, clinical and community missions. The division chief will also ensure the division's faculty have a defined mentoring plan and opportunities to grow in their specialty both within UVA Health System and beyond. Reporting: In this capacity, the division chief will report to the Chair, Executive Vice Chair, Vice Chair of Clinical Operations (for clinical areas) and various vice chairs (for corresponding areas) of the Department of Anesthesiology. The section chief for Pediatric Cardiac Anesthesia will report to the Division Chief for Pediatric Anesthesiology. Responsibilities: Design protocols and processes to optimize the provision of anesthesia for pediatric surgical and interventional procedures in high quality and efficient manner. Collaborate with the nursing leadership, surgeons, and proceduralists in locations where pediatric anesthesia services are offered to ensure optimal workflow. Collaborate with nursing, imaging, and out of operating room procedural area leadership to further develop and maintain a robust pediatric sedation service. Address quality issues and concerns that may emerge through (Be Safe) events related to pediatric anesthesia. Attend > 65% of monthly departmental leadership meetings. Hold and lead regular division meetings (at least 6 per year) to discuss opportunities related to the pediatric anesthesia services (clinical, educational, academic and community engagement). Work closely with the residency director and Vice Chair for Education to make sure that resident's educational goals are met, and their evaluations are submitted in a timely manner. Additionally, the division chief will ensure the division develops and maintains a robust didactic curriculum for the residents rotating through the service. Play a pivotal role in the development and mentorship of division faculty. In this capacity, the division chief will work closely with the Vice Chair for faculty development to achieve this goal. The division chief will report on the progress of faculty members in the division to the Vice Chair of Faculty Affairs and Development during reappointments and promotions. Nominate faculty for local, regional, and national awards if they meet criteria. Nominations should be made in coordination and conjunction with the Vice Chair for Faculty Development. Promote the academic mission of the division and ensure that the division is represented in national subspeciality meetings by various faculty members. Participate in the faculty annual evaluation process through providing requested feedback related to each division member's relative contributions to each our school of medicine missions - clinical care, education, research, and community engagement. Ensure billing compliance within the division and partner with departmental administrative leadership to look for opportunities to maximize billing and collections within the division. Assist in ensuring the workforce model is reflective of the needs of the division and in recruiting new faculty to meet those needs. Partner with department administrative leadership in the development of a robust orientation program for new faculty joining UVA's Department of Anesthesiology. Promote ASPIRE values within the division, as well as help to foster a diverse, equitable, and inclusive work environment. Qualifiations Qualified candidates must have an MD or equivalent degree and must have completed an anesthesiology residency program and a pediatric anesthesiology fellowship. The Department will be hiring faculty that are interested in an academic career as well as those interested in a community based model. Qualified candidates must be American Board of Anesthesiology certified or certification-eligible. At a minimum, the open position requires the applicant have served in an academic faculty position as a pediatric anesthesiologist for at least 3 years and have significant leadership experience. Application Instructions Application Instructions Please apply through Interfolio: Complete an application online and submit:CVCover Letter - please include how you learned about this positionContact information for at least 3 referencesFor additional information about the positions, please send your questions via email to
10/12/2025
Full time
Description The University of Virginia Department of Anesthesiology is seeking a Division Chief for Pediatric Anesthesiology. At a minimum, the open position requires the applicant have served in an academic faculty position as a pediatric anesthesiologist for at least 3 years and have significant leadership experience. The Division Chief for Pediatric Anesthesiology is responsible for promoting excellence in the provision of perioperative care for patients undergoing pediatric surgery or procedures across all clinical locations. The division chief will be responsible for maintaining and improving the quality and efficiency of anesthesia services provided for the aforementioned surgical and procedural populations. The chief is also responsible for creating and executing a vision and a strategy for the division to contribute to the department's and UVA Health's academic, clinical and community missions. The division chief will also ensure the division's faculty have a defined mentoring plan and opportunities to grow in their specialty both within UVA Health System and beyond. Reporting: In this capacity, the division chief will report to the Chair, Executive Vice Chair, Vice Chair of Clinical Operations (for clinical areas) and various vice chairs (for corresponding areas) of the Department of Anesthesiology. The section chief for Pediatric Cardiac Anesthesia will report to the Division Chief for Pediatric Anesthesiology. Responsibilities: Design protocols and processes to optimize the provision of anesthesia for pediatric surgical and interventional procedures in high quality and efficient manner. Collaborate with the nursing leadership, surgeons, and proceduralists in locations where pediatric anesthesia services are offered to ensure optimal workflow. Collaborate with nursing, imaging, and out of operating room procedural area leadership to further develop and maintain a robust pediatric sedation service. Address quality issues and concerns that may emerge through (Be Safe) events related to pediatric anesthesia. Attend > 65% of monthly departmental leadership meetings. Hold and lead regular division meetings (at least 6 per year) to discuss opportunities related to the pediatric anesthesia services (clinical, educational, academic and community engagement). Work closely with the residency director and Vice Chair for Education to make sure that resident's educational goals are met, and their evaluations are submitted in a timely manner. Additionally, the division chief will ensure the division develops and maintains a robust didactic curriculum for the residents rotating through the service. Play a pivotal role in the development and mentorship of division faculty. In this capacity, the division chief will work closely with the Vice Chair for faculty development to achieve this goal. The division chief will report on the progress of faculty members in the division to the Vice Chair of Faculty Affairs and Development during reappointments and promotions. Nominate faculty for local, regional, and national awards if they meet criteria. Nominations should be made in coordination and conjunction with the Vice Chair for Faculty Development. Promote the academic mission of the division and ensure that the division is represented in national subspeciality meetings by various faculty members. Participate in the faculty annual evaluation process through providing requested feedback related to each division member's relative contributions to each our school of medicine missions - clinical care, education, research, and community engagement. Ensure billing compliance within the division and partner with departmental administrative leadership to look for opportunities to maximize billing and collections within the division. Assist in ensuring the workforce model is reflective of the needs of the division and in recruiting new faculty to meet those needs. Partner with department administrative leadership in the development of a robust orientation program for new faculty joining UVA's Department of Anesthesiology. Promote ASPIRE values within the division, as well as help to foster a diverse, equitable, and inclusive work environment. Qualifiations Qualified candidates must have an MD or equivalent degree and must have completed an anesthesiology residency program and a pediatric anesthesiology fellowship. The Department will be hiring faculty that are interested in an academic career as well as those interested in a community based model. Qualified candidates must be American Board of Anesthesiology certified or certification-eligible. At a minimum, the open position requires the applicant have served in an academic faculty position as a pediatric anesthesiologist for at least 3 years and have significant leadership experience. Application Instructions Application Instructions Please apply through Interfolio: Complete an application online and submit:CVCover Letter - please include how you learned about this positionContact information for at least 3 referencesFor additional information about the positions, please send your questions via email to
Description The Department of Systems and Information Engineering (SIE) within the School of Engineering and Applied Science (SEAS) at the University of Virginia invites applications for the department chair position. For 50 years, our department has been a cornerstone of excellence-educating leaders in engineering and business who make a real-world impact. Today, we continue this tradition through innovative research and education. As we look to the future, we seek a visionary leader and world-class scholar whose experience and achievements merit appointment as a full professor and who can foster a collaborative, innovative, and inclusive environment. This is an opportunity to join a department with a rich history, a culture of excellence, and an ambitious trajectory for the future. About Us The Department of Systems and Information Engineering is the proud academic home to 15 tenure-track faculty, 3 academic general faculty members, and a vibrant community of 150 graduate students and 225 undergraduate students (2nd-4th years). We adopt systems thinking to make sense of the complexity of the world to tackle societal challenges. The department's three broad research areas center around: Human-Technology Interaction, Operations Research/Analytics, and Information & Intelligent Automation. Our department manages an extensive research portfolio with funding from industry, federal agencies, and private foundations. These funds support fellowships, instructional equipment, and innovative research projects enabling our faculty and students to pursue research in numerous dimensions of systems engineering, including operations research, systems thinking, decision theory, robotics, automation, artificial intelligence (AI), human factors, human-computer interaction (HCI), risk analysis, and financial engineering. To support these activities, faculty and graduate students draw on the wide range of research facilities available in the department and participate in several multidisciplinary research centers across the School of Engineering and the University of Virginia. The department has also received two substantial donations from private doners for the creation and funding of two endowed professorships; one in systems thinking and another in operations research/financial engineering. These achievements reflect our department's strength, ambition, and collaborative spirit as we continue to shape the future of systems and information engineering. The Position The new chair will provide leadership for the Department of Systems and Information Engineering, guiding initiatives in strategic planning, faculty and staff development, alumni engagement, and the recruitment of future faculty leaders. The chair will oversee the department's budget and serve as a key liaison with the School of Engineering and Applied Science and University leadership fostering relationships built on integrity, transparency, and collaboration. This role requires a leader with proven management, administrative acumen, and outreach expertise and a strong research and teaching record. The chair should support both faculty and staff driving the department's continued path of growth and success. Responsibilities: Continue to build on the strategic vision and objectives of the SIE department Build and enhance the reputation of SIE at UVA and beyond in the broader systems engineering community Play a key role in supporting and advocating for department programs and initiatives to SEAS and University leadership Play a key role in maintaining alumni engagement and involvement Aid in the department's assessments and accreditation process Work closely with department staff on budgetary and administrative aspects essential for operational success Work closely with the faculty and staff within the department to improve the quality of its undergraduate and graduate programs Support, guide, and mentor faculty, students, and staff in a transparent manner to provide a positive and accountable experience Provide leadership in the development and management of departmental resources Play a key role in the assignment and evaluation of department's faculty and staff service to the departmental, school, and university. Foster excellence in teaching, scholarship, and outreach for faculty and students in the department Support and enable scientific discovery through collaborations within the department and across the University Productively manage, support, and advocate for the departmental staff Facilitate open communication and manage conflict resolution with students, faculty, and staff Serve as a contributing member of the SEAS leadership team Work effectively to foster an inclusive community of students, faculty, and staff within the department About the School of Engineering and Applied Science The UVA School of Engineering and Applied Science (SEAS) brings global challenges into our classrooms and laboratories, giving students opportunities to work closely with world-renowned researchers on issues that have a societal impact. This approach means our students are ready to tackle future challenges and to become leaders in their fields. Our internationally recognized research programs are focused on developing interdisciplinary solutions to society's greatest challenges, while educating the next generation of engineering leaders. Our research spans disciplinary boundaries to make real change for the benefit of society. Major research areas at UVA Engineering include engineering for a sustainable and connected world, engineering for medicine, and engineering for the cyber future. About the University of Virginia UVA is a highly selective undergraduate and graduate institution that annually ranks as one of the premiere public universities in the United States with one of the highest graduation rates in the nation. UVA is in Charlottesville, Virginia, a picturesque and vibrant small city consistently recognized as one of the nation's top places to reside. UVA's location offers proximity to Washington D.C., enriching opportunities for collaboration and engagement with numerous federal agencies. More information about the city, the school, faculty benefits and other topics can be found at . Qualifiations Qualified candidates must hold a PhD in systems engineering, industrial engineering, or closely related technical field and demonstrate sufficient qualifications for appointment as a tenured faculty member at the professor level as outlined in the School's guidelines: Application Instructions Apply for this position in Interfolio (link) . Provide the following in PDF format: Cover letter that summarizes your areas of research/scholarship, and areas of potential collaboration at the University of Virginia. The letter should also describe your leadership philosophy and experience and aspects of your professional development that have prepared you for the position of Chair of Systems and Information Engineering; Curriculum vitae; A statement describing your current research, future directions, and broader impacts; A statement describing your teaching and mentoring practices, especially in regard to a residential learning environment marked by the free and collegial exchange of ideas; A statement describing demonstrated contributions to fostering inclusive practices that create climates in which all stakeholders can achieve their maximum potential (please focus on skills and experience, not beliefs and opinions) A list of 3-5 references with contact details. Review of candidates will begin on March 15, 2025 and will continue until filled. For questions regarding the position, please contact Kevin Skadron, Search Committee Chair, at .
10/02/2025
Full time
Description The Department of Systems and Information Engineering (SIE) within the School of Engineering and Applied Science (SEAS) at the University of Virginia invites applications for the department chair position. For 50 years, our department has been a cornerstone of excellence-educating leaders in engineering and business who make a real-world impact. Today, we continue this tradition through innovative research and education. As we look to the future, we seek a visionary leader and world-class scholar whose experience and achievements merit appointment as a full professor and who can foster a collaborative, innovative, and inclusive environment. This is an opportunity to join a department with a rich history, a culture of excellence, and an ambitious trajectory for the future. About Us The Department of Systems and Information Engineering is the proud academic home to 15 tenure-track faculty, 3 academic general faculty members, and a vibrant community of 150 graduate students and 225 undergraduate students (2nd-4th years). We adopt systems thinking to make sense of the complexity of the world to tackle societal challenges. The department's three broad research areas center around: Human-Technology Interaction, Operations Research/Analytics, and Information & Intelligent Automation. Our department manages an extensive research portfolio with funding from industry, federal agencies, and private foundations. These funds support fellowships, instructional equipment, and innovative research projects enabling our faculty and students to pursue research in numerous dimensions of systems engineering, including operations research, systems thinking, decision theory, robotics, automation, artificial intelligence (AI), human factors, human-computer interaction (HCI), risk analysis, and financial engineering. To support these activities, faculty and graduate students draw on the wide range of research facilities available in the department and participate in several multidisciplinary research centers across the School of Engineering and the University of Virginia. The department has also received two substantial donations from private doners for the creation and funding of two endowed professorships; one in systems thinking and another in operations research/financial engineering. These achievements reflect our department's strength, ambition, and collaborative spirit as we continue to shape the future of systems and information engineering. The Position The new chair will provide leadership for the Department of Systems and Information Engineering, guiding initiatives in strategic planning, faculty and staff development, alumni engagement, and the recruitment of future faculty leaders. The chair will oversee the department's budget and serve as a key liaison with the School of Engineering and Applied Science and University leadership fostering relationships built on integrity, transparency, and collaboration. This role requires a leader with proven management, administrative acumen, and outreach expertise and a strong research and teaching record. The chair should support both faculty and staff driving the department's continued path of growth and success. Responsibilities: Continue to build on the strategic vision and objectives of the SIE department Build and enhance the reputation of SIE at UVA and beyond in the broader systems engineering community Play a key role in supporting and advocating for department programs and initiatives to SEAS and University leadership Play a key role in maintaining alumni engagement and involvement Aid in the department's assessments and accreditation process Work closely with department staff on budgetary and administrative aspects essential for operational success Work closely with the faculty and staff within the department to improve the quality of its undergraduate and graduate programs Support, guide, and mentor faculty, students, and staff in a transparent manner to provide a positive and accountable experience Provide leadership in the development and management of departmental resources Play a key role in the assignment and evaluation of department's faculty and staff service to the departmental, school, and university. Foster excellence in teaching, scholarship, and outreach for faculty and students in the department Support and enable scientific discovery through collaborations within the department and across the University Productively manage, support, and advocate for the departmental staff Facilitate open communication and manage conflict resolution with students, faculty, and staff Serve as a contributing member of the SEAS leadership team Work effectively to foster an inclusive community of students, faculty, and staff within the department About the School of Engineering and Applied Science The UVA School of Engineering and Applied Science (SEAS) brings global challenges into our classrooms and laboratories, giving students opportunities to work closely with world-renowned researchers on issues that have a societal impact. This approach means our students are ready to tackle future challenges and to become leaders in their fields. Our internationally recognized research programs are focused on developing interdisciplinary solutions to society's greatest challenges, while educating the next generation of engineering leaders. Our research spans disciplinary boundaries to make real change for the benefit of society. Major research areas at UVA Engineering include engineering for a sustainable and connected world, engineering for medicine, and engineering for the cyber future. About the University of Virginia UVA is a highly selective undergraduate and graduate institution that annually ranks as one of the premiere public universities in the United States with one of the highest graduation rates in the nation. UVA is in Charlottesville, Virginia, a picturesque and vibrant small city consistently recognized as one of the nation's top places to reside. UVA's location offers proximity to Washington D.C., enriching opportunities for collaboration and engagement with numerous federal agencies. More information about the city, the school, faculty benefits and other topics can be found at . Qualifiations Qualified candidates must hold a PhD in systems engineering, industrial engineering, or closely related technical field and demonstrate sufficient qualifications for appointment as a tenured faculty member at the professor level as outlined in the School's guidelines: Application Instructions Apply for this position in Interfolio (link) . Provide the following in PDF format: Cover letter that summarizes your areas of research/scholarship, and areas of potential collaboration at the University of Virginia. The letter should also describe your leadership philosophy and experience and aspects of your professional development that have prepared you for the position of Chair of Systems and Information Engineering; Curriculum vitae; A statement describing your current research, future directions, and broader impacts; A statement describing your teaching and mentoring practices, especially in regard to a residential learning environment marked by the free and collegial exchange of ideas; A statement describing demonstrated contributions to fostering inclusive practices that create climates in which all stakeholders can achieve their maximum potential (please focus on skills and experience, not beliefs and opinions) A list of 3-5 references with contact details. Review of candidates will begin on March 15, 2025 and will continue until filled. For questions regarding the position, please contact Kevin Skadron, Search Committee Chair, at .
UVA Medical Center is seeking an IT Associate 1 to join the Department of Biomedical Operations. The IT Associate will: demonstrate a basic understanding of engineering disciplines including electronics pneumatics mechanical systems basic; TCP/IP networking; desktop computing and human physiology; be responsible for installing/performing preventive and corrective maintenance; perform quality assurance and accident investigation for medical technology and be responsible for maintenance and calibration of medical equipment while maintaining compliance with safely rules codes practices and policies. Duties Include: Analyzes medical device performance through the completion of preventive maintenance (PM). Performs calibration of sophisticated medical devices using various test equipment and through the design of patient simulators. Completes repairs on minor to complex medical equipment. Maintains UVA medical equipment inventory system. Complies with all safety rules codes practices and policies. Performs initial inspections on medical equipment. In addition to the above job responsibilities, other duties may be assigned. MINIMUM REQUIREMENTS: Education: High School or Post High School Tech Training. Licensure: Valid Driver s license required. PHYSICAL DEMANDS: This is primarily a sedentary job involving extensive use of desktop computers. The job does occasionally require walking some distance to attend meetings, and programs. Position Compensation Range: $16.35 - $26.15 Hourly The University of Virginia, including the UVA Health System which represents the UVA Medical Center, Schools of Medicine and Nursing, UVA Physician s Group and the Claude Moore Health Sciences Library, are fundamentally committed to the diversity of our faculty and staff. We believe diversity is excellence expressing itself through every person's perspectives and lived experiences. We are equal opportunity and affirmative action employers. All qualified applicants will receive consideration for employment without regard to age, color, disability, gender identity or expression, marital status, national or ethnic origin, political affiliation, race, religion, sex (including pregnancy), sexual orientation, veteran status, and family medical or genetic information. The selected candidate will be required to complete a background check at time of offer per University Policy. The University of Virginia, including the UVA Health System which represents the UVA Medical Center, Schools of Medicine and Nursing, UVA Physician s Group and the Claude Moore Health Sciences Library, are fundamentally committed to the diversity of our faculty and staff. We believe diversity is excellence expressing itself through every person's perspectives and lived experiences. We are equal opportunity and affirmative action employers. All qualified applicants will receive consideration for employment without regard to age, color, disability, gender identity or expression, marital status, national or ethnic origin, political affiliation, race, religion, sex (including pregnancy), sexual orientation, veteran status, and family medical or genetic information. - provided by Dice
01/26/2021
Full time
UVA Medical Center is seeking an IT Associate 1 to join the Department of Biomedical Operations. The IT Associate will: demonstrate a basic understanding of engineering disciplines including electronics pneumatics mechanical systems basic; TCP/IP networking; desktop computing and human physiology; be responsible for installing/performing preventive and corrective maintenance; perform quality assurance and accident investigation for medical technology and be responsible for maintenance and calibration of medical equipment while maintaining compliance with safely rules codes practices and policies. Duties Include: Analyzes medical device performance through the completion of preventive maintenance (PM). Performs calibration of sophisticated medical devices using various test equipment and through the design of patient simulators. Completes repairs on minor to complex medical equipment. Maintains UVA medical equipment inventory system. Complies with all safety rules codes practices and policies. Performs initial inspections on medical equipment. In addition to the above job responsibilities, other duties may be assigned. MINIMUM REQUIREMENTS: Education: High School or Post High School Tech Training. Licensure: Valid Driver s license required. PHYSICAL DEMANDS: This is primarily a sedentary job involving extensive use of desktop computers. The job does occasionally require walking some distance to attend meetings, and programs. Position Compensation Range: $16.35 - $26.15 Hourly The University of Virginia, including the UVA Health System which represents the UVA Medical Center, Schools of Medicine and Nursing, UVA Physician s Group and the Claude Moore Health Sciences Library, are fundamentally committed to the diversity of our faculty and staff. We believe diversity is excellence expressing itself through every person's perspectives and lived experiences. We are equal opportunity and affirmative action employers. All qualified applicants will receive consideration for employment without regard to age, color, disability, gender identity or expression, marital status, national or ethnic origin, political affiliation, race, religion, sex (including pregnancy), sexual orientation, veteran status, and family medical or genetic information. The selected candidate will be required to complete a background check at time of offer per University Policy. The University of Virginia, including the UVA Health System which represents the UVA Medical Center, Schools of Medicine and Nursing, UVA Physician s Group and the Claude Moore Health Sciences Library, are fundamentally committed to the diversity of our faculty and staff. We believe diversity is excellence expressing itself through every person's perspectives and lived experiences. We are equal opportunity and affirmative action employers. All qualified applicants will receive consideration for employment without regard to age, color, disability, gender identity or expression, marital status, national or ethnic origin, political affiliation, race, religion, sex (including pregnancy), sexual orientation, veteran status, and family medical or genetic information. - provided by Dice