Job Description Summary Every turbine blade, wind tower, and power system in the world depends on one thing: mechanical and structural systems that endure. At GE Vernova Advanced Research, we're not just studying mechanical engineering - we're reinventing it. With 150+ active energy-focused programs and partnerships spanning 420+ leading institutions, our researchers are pushing the boundaries of what's structurally possible to power the global energy transition. We're looking for a Technology Manager for our Mechanical Engineering team focused on research - a bold technical leader who will guide a world-class team of researchers developing next-generation structural mechanics and durability solutions for GE Vernova's Power, Wind, and Electrification businesses. This is more than a leadership role. It's a chance to define how the world's most critical energy systems are designed to last. Job Description Roles and Responsibilities Own & Grow the Technology Portfolio Build and manage a robust portfolio of research programs that advance the following aspects of mechanical engineering - structural mechanics, durability, and fatigue performance across GE Vernova's Power, Wind, and Electrification businesses Lead early-stage technology development with high disruption potential - from first concept through successful transition to the businesses Develop multi-generational technology roadmaps that give GE Vernova's businesses a competitive, multi-year structural mechanics strategy Partner with Chief Engineers, Chief Scientists, and Senior Principal Engineers to align structural mechanics and durability strategy with product and manufacturing goals across the enterprise Drive Strategy Through Collaboration Serve as the strategic link between GE Vernova Advanced Research, business units, and external partners including U.S. government agencies Work closely with the Technology Director and Mission Leaders to continuously shape and evolve the vision for the Mechanical Structures & Durability team Coordinate disruptive technology efforts with GE Vernova's business teams and ensure integration into long-term product and technology plans Establish, grow, and maintain strategic external relationships with government agencies, national labs, academic institutions, and industry partners Actively represent and promote GE Vernova's research capabilities in the broader scientific and energy community Lead, Develop & Inspire Your Team Lead, mentor, and grow a high-performing team of technologists and researchers - creating a culture where scientific excellence and personal growth go hand in hand Champion talent acquisition and retention, recruiting exceptional engineers and scientists who raise the bar for the organization Provide meaningful coaching, career development, and structured growth opportunities for team members at every level Drive adoption of Lean principles, project/program management best practices, and operational discipline across all team activities Execute with Operational Excellence Ensure all programs operate with the highest standards of safety, quality, and compliance Own resource planning that balances organizational priorities with individual researcher development goals Drive accountability for project execution in a fast-paced, matrixed research environment Manage financial stewardship including budget oversight and investment prioritization across the team's program portfolio Required Qualifications Education: PhD in Mechanical Engineering, Aerospace Engineering, or a related technical discipline with a minimum of 6 years of relevant experience - OR - Master's degree with a minimum of 10 years of relevant experience. Technical Expertise: 5+ years of hands-on experience leading technical programs or R&D efforts in structural mechanics, durability, fatigue analysis, or a closely related engineering discipline. People Leadership: Proven direct management experience leading teams of 3 or more engineers or scientists, with demonstrated ability to develop talent, navigate performance, and build high-performing organizations. Eligibility Requirements Legal authorization to work in the U.S. is required; this role is not eligible for immigration or visa sponsorship. This position requires access to information and technology subject to U.S. export control laws. Consistent with U.S. export regulations, we can only consider applicants who are "U.S. persons" as defined by law. Must be willing to work onsite at GE Vernova Advanced Research, Niskayuna, NY - onsite presence is essential to support hands-on collaboration and direct reports Preferred Qualifications Demonstrated track record of successfully contributing to, writing and executing on competitive proposals with U.S. government agencies such as DOE, ARPA-E, DOD, DARPA, or equivalent federal sponsors. Ability to translate complex technical and business challenges into clear priorities, actionable plans, and measurable outcome Industrial application experience in mechanical engineering with emphasis on structural mechanics and durability - with direct exposure to the challenges of scaling structural solutions from lab research into production environments Demonstrated success in transitioning R&D technology into commercial or industrial products, including full lifecycle ownership from concept through deployment Experience leading or collaborating with global or geographically distributed teams across multiple business functions and engineering disciplines in a matrixed environment Familiarity with advanced structural analysis tools such as FEA (finite element analysis), probabilistic durability modeling, fatigue life prediction, or related computational methods Understanding of customer needs and competitive industry trends in power generation, wind energy, or electrification - with the ability to convert insights into technology strategy Track record of building and sustaining a culture of safety and continuous improvement within a technical research or engineering organization Experience with Lean methodologies applied in a research, product development, or early-stage technology environment Active presence in the professional community through conference participation, publications, or technical society leadership that advances GE Vernova's external reputation Excellent written and verbal communication skills, including demonstrated ability to present complex structural mechanics concepts to executive and non-technical business audiences This role requires access to U.S. export-controlled information. If applicable, final offers will be contingent on ability to obtain authorization for access to U.S. export-controlled information from the U.S. Government. Additional Information GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation. GE Vernova is an Equal Opportunity Employer . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE Vernova will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). Relocation Assistance Provided: Yes For candidates applying to a U.S. based position, the pay range for this position is between $131,700.00 and $219,300.00. The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas. The specific pay offered may be influenced by a variety of factors, including the candidate's experience, education, and skill set. Bonus eligibility: discretionary annual bonus. This posting is expected to remain open for at least seven days after it was posted on May 06, 2026. Available benefits include medical, dental, vision, and prescription drug coverage; access to Health Coach from GE Vernova, a 24/7 nurse-based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and financial planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability benefits, life insurance, 12 paid holidays, and permissive time off. GE Vernova Inc. or its affiliates (collectively or individually, "GE Vernova") sponsor certain employee benefit plans or programs GE Vernova reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a GE Vernova welfare benefit plan or program. This document does not create a contract of employment with any individual.
06/25/2026
Full time
Job Description Summary Every turbine blade, wind tower, and power system in the world depends on one thing: mechanical and structural systems that endure. At GE Vernova Advanced Research, we're not just studying mechanical engineering - we're reinventing it. With 150+ active energy-focused programs and partnerships spanning 420+ leading institutions, our researchers are pushing the boundaries of what's structurally possible to power the global energy transition. We're looking for a Technology Manager for our Mechanical Engineering team focused on research - a bold technical leader who will guide a world-class team of researchers developing next-generation structural mechanics and durability solutions for GE Vernova's Power, Wind, and Electrification businesses. This is more than a leadership role. It's a chance to define how the world's most critical energy systems are designed to last. Job Description Roles and Responsibilities Own & Grow the Technology Portfolio Build and manage a robust portfolio of research programs that advance the following aspects of mechanical engineering - structural mechanics, durability, and fatigue performance across GE Vernova's Power, Wind, and Electrification businesses Lead early-stage technology development with high disruption potential - from first concept through successful transition to the businesses Develop multi-generational technology roadmaps that give GE Vernova's businesses a competitive, multi-year structural mechanics strategy Partner with Chief Engineers, Chief Scientists, and Senior Principal Engineers to align structural mechanics and durability strategy with product and manufacturing goals across the enterprise Drive Strategy Through Collaboration Serve as the strategic link between GE Vernova Advanced Research, business units, and external partners including U.S. government agencies Work closely with the Technology Director and Mission Leaders to continuously shape and evolve the vision for the Mechanical Structures & Durability team Coordinate disruptive technology efforts with GE Vernova's business teams and ensure integration into long-term product and technology plans Establish, grow, and maintain strategic external relationships with government agencies, national labs, academic institutions, and industry partners Actively represent and promote GE Vernova's research capabilities in the broader scientific and energy community Lead, Develop & Inspire Your Team Lead, mentor, and grow a high-performing team of technologists and researchers - creating a culture where scientific excellence and personal growth go hand in hand Champion talent acquisition and retention, recruiting exceptional engineers and scientists who raise the bar for the organization Provide meaningful coaching, career development, and structured growth opportunities for team members at every level Drive adoption of Lean principles, project/program management best practices, and operational discipline across all team activities Execute with Operational Excellence Ensure all programs operate with the highest standards of safety, quality, and compliance Own resource planning that balances organizational priorities with individual researcher development goals Drive accountability for project execution in a fast-paced, matrixed research environment Manage financial stewardship including budget oversight and investment prioritization across the team's program portfolio Required Qualifications Education: PhD in Mechanical Engineering, Aerospace Engineering, or a related technical discipline with a minimum of 6 years of relevant experience - OR - Master's degree with a minimum of 10 years of relevant experience. Technical Expertise: 5+ years of hands-on experience leading technical programs or R&D efforts in structural mechanics, durability, fatigue analysis, or a closely related engineering discipline. People Leadership: Proven direct management experience leading teams of 3 or more engineers or scientists, with demonstrated ability to develop talent, navigate performance, and build high-performing organizations. Eligibility Requirements Legal authorization to work in the U.S. is required; this role is not eligible for immigration or visa sponsorship. This position requires access to information and technology subject to U.S. export control laws. Consistent with U.S. export regulations, we can only consider applicants who are "U.S. persons" as defined by law. Must be willing to work onsite at GE Vernova Advanced Research, Niskayuna, NY - onsite presence is essential to support hands-on collaboration and direct reports Preferred Qualifications Demonstrated track record of successfully contributing to, writing and executing on competitive proposals with U.S. government agencies such as DOE, ARPA-E, DOD, DARPA, or equivalent federal sponsors. Ability to translate complex technical and business challenges into clear priorities, actionable plans, and measurable outcome Industrial application experience in mechanical engineering with emphasis on structural mechanics and durability - with direct exposure to the challenges of scaling structural solutions from lab research into production environments Demonstrated success in transitioning R&D technology into commercial or industrial products, including full lifecycle ownership from concept through deployment Experience leading or collaborating with global or geographically distributed teams across multiple business functions and engineering disciplines in a matrixed environment Familiarity with advanced structural analysis tools such as FEA (finite element analysis), probabilistic durability modeling, fatigue life prediction, or related computational methods Understanding of customer needs and competitive industry trends in power generation, wind energy, or electrification - with the ability to convert insights into technology strategy Track record of building and sustaining a culture of safety and continuous improvement within a technical research or engineering organization Experience with Lean methodologies applied in a research, product development, or early-stage technology environment Active presence in the professional community through conference participation, publications, or technical society leadership that advances GE Vernova's external reputation Excellent written and verbal communication skills, including demonstrated ability to present complex structural mechanics concepts to executive and non-technical business audiences This role requires access to U.S. export-controlled information. If applicable, final offers will be contingent on ability to obtain authorization for access to U.S. export-controlled information from the U.S. Government. Additional Information GE Vernova offers a great work environment, professional development, challenging careers, and competitive compensation. GE Vernova is an Equal Opportunity Employer . Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE Vernova will only employ those who are legally authorized to work in the United States for this opening. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable). Relocation Assistance Provided: Yes For candidates applying to a U.S. based position, the pay range for this position is between $131,700.00 and $219,300.00. The Company pays a geographic differential of 110%, 120% or 130% of salary in certain areas. The specific pay offered may be influenced by a variety of factors, including the candidate's experience, education, and skill set. Bonus eligibility: discretionary annual bonus. This posting is expected to remain open for at least seven days after it was posted on May 06, 2026. Available benefits include medical, dental, vision, and prescription drug coverage; access to Health Coach from GE Vernova, a 24/7 nurse-based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Vernova Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and financial planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability benefits, life insurance, 12 paid holidays, and permissive time off. GE Vernova Inc. or its affiliates (collectively or individually, "GE Vernova") sponsor certain employee benefit plans or programs GE Vernova reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a GE Vernova welfare benefit plan or program. This document does not create a contract of employment with any individual.
Job Description Summary GE Vernova's researchers work on the advancement of Robot Perception technology for industrial domain, ultimately contributing to the Energy Transition by electrifying the world and decarbonizing the energy sector. As a Research Scientist in Robotic Perception, you will play a key role in solving challenging robot perception problems for various robotic platforms (i.e., manipulators, quadrupeds, etc.) in industrial settings. You will join a world-class research team working on scene understanding, object manipulation, and vision foundation models. You will shape novel techniques to expand the ability for robots to effectively interact with the world. You will develop algorithms for robotic systems for various industrial domains including renewable energy, power generation, electric grids, and manufacturing. This will involve working on projects with GE Vernova's business units and a wide array of fellow researchers across disciplines and domains. It will also include the opportunity to work on government-sponsored, cutting-edge research programs with GE Vernova's external partners in academia and government. You will help drive the future of robotics research at GE Vernova. As a GE Vernova accelerator, GE Vernova Advanced Research is driving strategy and leading research & development efforts to execute on the business's mission to power the energy transition. We forge the partnerships and invent the technologies required to electrify and decarbonize for a zero-carbon future. Representing virtually every major scientific and engineering discipline, our researchers are collaborating with GE Vernova's businesses, the U.S. government, and more than 420 technology partners to execute on 150+ energy-focused projects. Collectively, these research programs and initiatives aim to solve near term technical challenges, deliver next generation product advances, and drive long term breakthrough innovation to enable more affordable, reliable, sustainable, and secure energy. Job Description Essential Responsibilities: Work with teams of researchers on new and continuing projects Develop robotic perception modules for application industrial manipulators Creatively combine state-of-the-art (SOTA) open-source models and in-house data to advance the robot capabilities Write high-quality (documented, tested, maintainable) Python / C / C++ code in a large shared codebase Implement and analyze prototypes and solutions for real-world problems Create intellectual property by writing invention disclosures and filing patents Publish research work to scientific journals and conferences Writing and/or supporting grant proposals Qualifications/Requirements: PhD in Computer Science, Electrical/Computer Engineering, Mathematics, Physics, or related fields with a focus on robotics, computer vision, or similar OR MS + 2 years' work experience in similar areas Strong Computer Vision / Computer Graphics research background Track record of published peer-reviewed research in topics such as: Learned 3D reconstruction, depth prediction, feature matching, semantic segmentation, object 6-DoF pose and shape estimation Vision-language models Multimodal perception with vision/proprioception/touch sensing Learned visual representations and foundation models for robot manipulation Proficiency in Python programming and popular ML frameworks Legal authorization to work in the US is required. We will not sponsor individuals at the Master's level for employment visas, now or in the future, for this job opening. Must be willing to work out of an office located in Niskayuna, NY Must be 18 years or older You must submit your application for employment on the careers page at to be considered Desired Characteristics: PhD in Computer Science, Machine Learning, Robotics, Computer Graphics or a related field Hands-on robotics (manipulators, quadrupeds etc.) experience Practical knowledge of 3D geometry, projective geometry, camera models The salary range for this position is $85,600 - $140,000 USD, annually. The specific pay offered may be influenced by a variety of factors, including the candidate's education and skill set. This position may also be eligible for a sign on incentive and new hire equity grant based on meeting certain eligibility criteria. This position will remain posted until at least July 25th, 2025. GE provides a comprehensive benefits package that provides access to plans which support the overall wellbeing of our employees and their dependents. These benefits include, but are not limited to, health care coverage (medical, dental, vision, pharmacy), a retirement plan that includes Company Retirement Savings and a 401K with Company matching, Life Insurance options, Disability coverage, paid time-off, EAP, and more.
06/24/2026
Full time
Job Description Summary GE Vernova's researchers work on the advancement of Robot Perception technology for industrial domain, ultimately contributing to the Energy Transition by electrifying the world and decarbonizing the energy sector. As a Research Scientist in Robotic Perception, you will play a key role in solving challenging robot perception problems for various robotic platforms (i.e., manipulators, quadrupeds, etc.) in industrial settings. You will join a world-class research team working on scene understanding, object manipulation, and vision foundation models. You will shape novel techniques to expand the ability for robots to effectively interact with the world. You will develop algorithms for robotic systems for various industrial domains including renewable energy, power generation, electric grids, and manufacturing. This will involve working on projects with GE Vernova's business units and a wide array of fellow researchers across disciplines and domains. It will also include the opportunity to work on government-sponsored, cutting-edge research programs with GE Vernova's external partners in academia and government. You will help drive the future of robotics research at GE Vernova. As a GE Vernova accelerator, GE Vernova Advanced Research is driving strategy and leading research & development efforts to execute on the business's mission to power the energy transition. We forge the partnerships and invent the technologies required to electrify and decarbonize for a zero-carbon future. Representing virtually every major scientific and engineering discipline, our researchers are collaborating with GE Vernova's businesses, the U.S. government, and more than 420 technology partners to execute on 150+ energy-focused projects. Collectively, these research programs and initiatives aim to solve near term technical challenges, deliver next generation product advances, and drive long term breakthrough innovation to enable more affordable, reliable, sustainable, and secure energy. Job Description Essential Responsibilities: Work with teams of researchers on new and continuing projects Develop robotic perception modules for application industrial manipulators Creatively combine state-of-the-art (SOTA) open-source models and in-house data to advance the robot capabilities Write high-quality (documented, tested, maintainable) Python / C / C++ code in a large shared codebase Implement and analyze prototypes and solutions for real-world problems Create intellectual property by writing invention disclosures and filing patents Publish research work to scientific journals and conferences Writing and/or supporting grant proposals Qualifications/Requirements: PhD in Computer Science, Electrical/Computer Engineering, Mathematics, Physics, or related fields with a focus on robotics, computer vision, or similar OR MS + 2 years' work experience in similar areas Strong Computer Vision / Computer Graphics research background Track record of published peer-reviewed research in topics such as: Learned 3D reconstruction, depth prediction, feature matching, semantic segmentation, object 6-DoF pose and shape estimation Vision-language models Multimodal perception with vision/proprioception/touch sensing Learned visual representations and foundation models for robot manipulation Proficiency in Python programming and popular ML frameworks Legal authorization to work in the US is required. We will not sponsor individuals at the Master's level for employment visas, now or in the future, for this job opening. Must be willing to work out of an office located in Niskayuna, NY Must be 18 years or older You must submit your application for employment on the careers page at to be considered Desired Characteristics: PhD in Computer Science, Machine Learning, Robotics, Computer Graphics or a related field Hands-on robotics (manipulators, quadrupeds etc.) experience Practical knowledge of 3D geometry, projective geometry, camera models The salary range for this position is $85,600 - $140,000 USD, annually. The specific pay offered may be influenced by a variety of factors, including the candidate's education and skill set. This position may also be eligible for a sign on incentive and new hire equity grant based on meeting certain eligibility criteria. This position will remain posted until at least July 25th, 2025. GE provides a comprehensive benefits package that provides access to plans which support the overall wellbeing of our employees and their dependents. These benefits include, but are not limited to, health care coverage (medical, dental, vision, pharmacy), a retirement plan that includes Company Retirement Savings and a 401K with Company matching, Life Insurance options, Disability coverage, paid time-off, EAP, and more.
Job Description: Established nearly two centuries ago, FM is a leading mutual insurance company whose capital, scientific research capability and engineering expertise are solely dedicated to property risk management and the resilience of its policyholder-owners. These owners, who share the belief that the majority of property loss is preventable, represent many of the world's largest organizations, including one of every four Fortune 500 companies. They work with FM to better understand the hazards that can impact their business continuity to make cost-effective risk management decisions, combining property loss prevention with insurance protection. FM is seeking a Senior Research Scientist to develop new scientific knowledge, technologies, and engineering solutions to challenges in material flammability, fire dynamics, and fire protection, which can be used and applied by FM to help prevent or control property loss for insured clients. Responsibilities Lead internally funded research projects in flammability, combustion, fire propagation, extinguishment, heat and smoke generation, heat transfer, and related areas. Conduct experimental and theoretical research to understand fire behavior over a range of scales. Closely collaborate with fire modeling scientists to develop and validate sub-models related to pyrolysis, heat transfer, and fire dynamics. Interpret and analyze experimental data and prepare high quality technical documentation. Communicate test methods, results, and engineering recommendations to internal and external stakeholders, including collaborators, clients, and industry partners. Manage all aspects of project management, including proposals, planning, execution, reporting, and engineering application. Qualifications: PhD in Mechanical, Chemical Engineering, Fire Protection Engineering, or a closely related field. Strong fundamental background in combustion, fluid mechanics, heat transfer, and applied mathematics. Research experience in experimental and analytical methods in thermal fluids, material flammability, heat transfer, and combustion/fire, along with an understanding of associated numerical methods. Excellent written and verbal communication skills and a demonstrated ability to develop effective solutions to complex technical challenges. Strong interpersonal and teamwork skills, with the ability to productively collaborate in an interdisciplinary research environment. The final salary offer will vary based on geographic location, individual education, skills, and experience. The position is eligible to participate in FM's comprehensive Total Rewards program that includes an incentive plan, generous health and well-being programs, a 401(k) and pension plan, career development opportunities, tuition reimbursement, flexible work, time off allowances and much more. FM is an Equal Opportunity Employer and is committed to attracting, developing, and retaining a diverse workforce.
06/23/2026
Full time
Job Description: Established nearly two centuries ago, FM is a leading mutual insurance company whose capital, scientific research capability and engineering expertise are solely dedicated to property risk management and the resilience of its policyholder-owners. These owners, who share the belief that the majority of property loss is preventable, represent many of the world's largest organizations, including one of every four Fortune 500 companies. They work with FM to better understand the hazards that can impact their business continuity to make cost-effective risk management decisions, combining property loss prevention with insurance protection. FM is seeking a Senior Research Scientist to develop new scientific knowledge, technologies, and engineering solutions to challenges in material flammability, fire dynamics, and fire protection, which can be used and applied by FM to help prevent or control property loss for insured clients. Responsibilities Lead internally funded research projects in flammability, combustion, fire propagation, extinguishment, heat and smoke generation, heat transfer, and related areas. Conduct experimental and theoretical research to understand fire behavior over a range of scales. Closely collaborate with fire modeling scientists to develop and validate sub-models related to pyrolysis, heat transfer, and fire dynamics. Interpret and analyze experimental data and prepare high quality technical documentation. Communicate test methods, results, and engineering recommendations to internal and external stakeholders, including collaborators, clients, and industry partners. Manage all aspects of project management, including proposals, planning, execution, reporting, and engineering application. Qualifications: PhD in Mechanical, Chemical Engineering, Fire Protection Engineering, or a closely related field. Strong fundamental background in combustion, fluid mechanics, heat transfer, and applied mathematics. Research experience in experimental and analytical methods in thermal fluids, material flammability, heat transfer, and combustion/fire, along with an understanding of associated numerical methods. Excellent written and verbal communication skills and a demonstrated ability to develop effective solutions to complex technical challenges. Strong interpersonal and teamwork skills, with the ability to productively collaborate in an interdisciplinary research environment. The final salary offer will vary based on geographic location, individual education, skills, and experience. The position is eligible to participate in FM's comprehensive Total Rewards program that includes an incentive plan, generous health and well-being programs, a 401(k) and pension plan, career development opportunities, tuition reimbursement, flexible work, time off allowances and much more. FM is an Equal Opportunity Employer and is committed to attracting, developing, and retaining a diverse workforce.
Job Description: Established nearly two centuries ago, FM is a leading mutual insurance company whose capital, scientific research capability and engineering expertise are solely dedicated to property risk management and the resilience of its policyholder-owners. These owners, who share the belief that the majority of property loss is preventable, represent many of the world's largest organizations, including one of every four Fortune 500 companies. They work with FM to better understand the hazards that can impact their business continuity to make cost-effective risk management decisions, combining property loss prevention with insurance protection. FM is seeking a Senior Research Scientist to develop new scientific knowledge, technologies, and engineering solutions for problems related to fire detection and suppression. The position will directly contribute to industrial property loss prevention, with emphasis on critical business areas and emerging hazards such as data centers, renewable energy industries, automated storage facilities, and operations involving ignitable liquids. Responsibilities Lead internally funded research projects to evaluate fire detection and suppression performance. Design experiments to support the development, calibration, and validation of physics based or empirical models. Apply available modeling tools and analytical methods for effective problem solving. Interpret and analyze experimental and model data and prepare high quality technical documentation. Communicate test methods, results, and engineering recommendations to internal and external stakeholders, including collaborators, clients, and industry partners. Manage all aspects of project management, including proposals, planning, execution, reporting, and engineering application. Qualifications: PhD in Mechanical, Chemical Engineering, Fire Protection Engineering, or a closely related field. Strong fundamental background in combustion, fluid mechanics, heat transfer, and applied mathematics. Research experience involving experimental and analytical methods in thermal fluids, heat transfer, and combustion/fire science, as well as a general understanding of associated numerical methods. Research experience in the field of fire detection and suppression research, and familiarity with advanced sensor technology, artificial intelligence integration, and machine learning concepts is highly desirable. Excellent written and verbal communication skills and a demonstrated ability to develop effective solutions to complex technical challenges. Strong interpersonal and teamwork skills, with the ability to productively collaborate in an interdisciplinary research environment. The final salary offer will vary based on geographic location, individual education, skills, and experience. The position is eligible to participate in FM's comprehensive Total Rewards program that includes an incentive plan, generous health and well-being programs, a 401(k) and pension plan, career development opportunities, tuition reimbursement, flexible work, time off allowances and much more. FM is an Equal Opportunity Employer and is committed to attracting, developing, and retaining a diverse workforce.
06/23/2026
Full time
Job Description: Established nearly two centuries ago, FM is a leading mutual insurance company whose capital, scientific research capability and engineering expertise are solely dedicated to property risk management and the resilience of its policyholder-owners. These owners, who share the belief that the majority of property loss is preventable, represent many of the world's largest organizations, including one of every four Fortune 500 companies. They work with FM to better understand the hazards that can impact their business continuity to make cost-effective risk management decisions, combining property loss prevention with insurance protection. FM is seeking a Senior Research Scientist to develop new scientific knowledge, technologies, and engineering solutions for problems related to fire detection and suppression. The position will directly contribute to industrial property loss prevention, with emphasis on critical business areas and emerging hazards such as data centers, renewable energy industries, automated storage facilities, and operations involving ignitable liquids. Responsibilities Lead internally funded research projects to evaluate fire detection and suppression performance. Design experiments to support the development, calibration, and validation of physics based or empirical models. Apply available modeling tools and analytical methods for effective problem solving. Interpret and analyze experimental and model data and prepare high quality technical documentation. Communicate test methods, results, and engineering recommendations to internal and external stakeholders, including collaborators, clients, and industry partners. Manage all aspects of project management, including proposals, planning, execution, reporting, and engineering application. Qualifications: PhD in Mechanical, Chemical Engineering, Fire Protection Engineering, or a closely related field. Strong fundamental background in combustion, fluid mechanics, heat transfer, and applied mathematics. Research experience involving experimental and analytical methods in thermal fluids, heat transfer, and combustion/fire science, as well as a general understanding of associated numerical methods. Research experience in the field of fire detection and suppression research, and familiarity with advanced sensor technology, artificial intelligence integration, and machine learning concepts is highly desirable. Excellent written and verbal communication skills and a demonstrated ability to develop effective solutions to complex technical challenges. Strong interpersonal and teamwork skills, with the ability to productively collaborate in an interdisciplinary research environment. The final salary offer will vary based on geographic location, individual education, skills, and experience. The position is eligible to participate in FM's comprehensive Total Rewards program that includes an incentive plan, generous health and well-being programs, a 401(k) and pension plan, career development opportunities, tuition reimbursement, flexible work, time off allowances and much more. FM is an Equal Opportunity Employer and is committed to attracting, developing, and retaining a diverse workforce.
Company Description The Bosch Research and Technology Center North America with offices in Sunnyvale, California, Pittsburgh, Pennsylvania, and Cambridge, Massachusetts is a part of the global Bosch Group (), a company with over 70 billion euro revenue, 400,000 employees worldwide, a very diverse product portfolio, and a history spanning over 125 years. The Research and Technology Center North America (RTC-NA) is dedicated to providing technologies and system solutions for various Bosch business fields, primarily in the field of artificial intelligence, energy technologies, internet technologies, circuit design, semiconductors and wireless, as well as advanced MEMS design. As a part of the global research, our AI research in Silicon Valley focuses on Foundation Models, Big Data Visual Analytics, Explainable AI (XAI), Natural Language Processing, Computer Vision & Mixed Reality, Cloud Robotics, Data Science, AI System Engineering, Time-series Analysis. We develop scalable, intelligent, and trustworthy AIoT solutions for Bosch products and services in application areas such as automated driving, advanced driver assistance systems (ADAS), robotics, smart manufacturing, enterprise AI, health care, smart home and building solutions. Originating from the AI research in Silicon Valley, our Intelligent Autonomous Systems group is responsible for enabling future autonomous Bosch products by pushing the boundaries of automated driving, advanced driver assistance systems (ADAS), robotics and automation through key innovations that encompass system architecture and AI components. These include methods for motion planning, high level task planning and decision making as well as systems for making these technologies work on real products by building frameworks that take advantage of technologies in the field of reliable distributed computing. We work with internal partners of different Bosch business units to transfer our solutions into future products. We also actively collaborate with leading groups in academia and industry to promote research ideas and publish research findings in internationally renowned conferences and journals such as CVPR, ICRA, IROS, RSS, NeurIPS and CoRL. Job Description As a Senior Research Scientist- Vision-Language-Action (VLA) Models, you contribute to research projects at the forefront of the ADAS/AD industry. Key responsibilities include: Conduct research and engineering in core AI and machine learning fields to enable Embodied AI (including computer vision, autonomous planning, open-world learning, and so on) for related business domains of ADAS/AD, industrial automation, robotics etc. Push the boundaries in (modular) end-to-end perception and planning for ADAS/AD, incorporating advancements in large vision-language-(action) models to aid reasoning capabilities and explainability. Collaborate cross-functionally with global research and engineering teams to ensure seamless technology transfer and system integration. Implement research results to solve real-world challenges, ensuring high-quality system integration within Bosch's existing platforms. Stay at the forefront of innovation by actively engaging with academic and industry communities through conferences, workshops, and technical events. Document and disseminate research findings through high-caliber publications and/or patent submissions. Qualifications Basic Qualifications Ph.D. in Computer Science, Robotics or a related discipline or Master's degree with >= 2/4years industry experience after graduation. A minimum of 5years of R&D experience, or an equivalent graduate research background, primarily in AI technologies including Computer Vision and Robotic or Automotive Motion and Behavioral Planning. Proficiency in one or more programming languages commonly used in machine learning (e.g., Python, C++, Rust). Strong interpersonal, communication, and teamwork capabilities. Knowledge of major machine learning frameworks like TensorFlow or PyTorch. Hands-on experience in reinforcement learning for behavior or motion planning or other applicable contexts and familiarity with common RL techniques (e.g. PPO, DQN, DDPG). A strong portfolio of publications in premier machine learning, deep learning, robotics and computer vision journals and conferences. Preferred Qualifications Experience with real-world product development and deployment of autonomous systems. Hands-on experience building and applying multimodal transformer-based sequence-to-sequence models, especially multimodal vision-language-action models. Hands-on experience in computer vision and deep learning, with work in any of the following areas: multimodal transformers, multimodal language models, diffusion models, NeRF, gaussian splatting, object detection / segmentation, 3D scene understanding, sensor calibration, SfM, voxel/BEV grid-based feature representation. Additional Information We offer a competitive base salary for this position with a range in US-California of $185,000 - $215,000 along with an annual corporate bonus, and a long-term incentive bonus designed to reward sustained impact and contribution over time. Within the salary range, the individual pay is determined based on several factors, including, but not limited to, work experience and job knowledge, complexity of the role, job location, etc. Your well-being matters at Bosch! We offer a a benefits package designed to empower you in every area of your life. This includes premium health coverage, a 401(k) with generous matching, resources for financial planning and goal setting, ample paid time off, parental leave, and comprehensive life and disability protection. Your Recruiter can share more details for this position during the interview process. Learn more about our full benefits offerings by visiting: . Equal Opportunity Employer, including disability / veterans. Bosch adheres to Federal, State, and Local laws regarding drug-testing. Employment is contingent upon the successful completion of a drug screen and background check. Candidates who have been offered the position must pass both screenings before their start date.
06/17/2026
Full time
Company Description The Bosch Research and Technology Center North America with offices in Sunnyvale, California, Pittsburgh, Pennsylvania, and Cambridge, Massachusetts is a part of the global Bosch Group (), a company with over 70 billion euro revenue, 400,000 employees worldwide, a very diverse product portfolio, and a history spanning over 125 years. The Research and Technology Center North America (RTC-NA) is dedicated to providing technologies and system solutions for various Bosch business fields, primarily in the field of artificial intelligence, energy technologies, internet technologies, circuit design, semiconductors and wireless, as well as advanced MEMS design. As a part of the global research, our AI research in Silicon Valley focuses on Foundation Models, Big Data Visual Analytics, Explainable AI (XAI), Natural Language Processing, Computer Vision & Mixed Reality, Cloud Robotics, Data Science, AI System Engineering, Time-series Analysis. We develop scalable, intelligent, and trustworthy AIoT solutions for Bosch products and services in application areas such as automated driving, advanced driver assistance systems (ADAS), robotics, smart manufacturing, enterprise AI, health care, smart home and building solutions. Originating from the AI research in Silicon Valley, our Intelligent Autonomous Systems group is responsible for enabling future autonomous Bosch products by pushing the boundaries of automated driving, advanced driver assistance systems (ADAS), robotics and automation through key innovations that encompass system architecture and AI components. These include methods for motion planning, high level task planning and decision making as well as systems for making these technologies work on real products by building frameworks that take advantage of technologies in the field of reliable distributed computing. We work with internal partners of different Bosch business units to transfer our solutions into future products. We also actively collaborate with leading groups in academia and industry to promote research ideas and publish research findings in internationally renowned conferences and journals such as CVPR, ICRA, IROS, RSS, NeurIPS and CoRL. Job Description As a Senior Research Scientist- Vision-Language-Action (VLA) Models, you contribute to research projects at the forefront of the ADAS/AD industry. Key responsibilities include: Conduct research and engineering in core AI and machine learning fields to enable Embodied AI (including computer vision, autonomous planning, open-world learning, and so on) for related business domains of ADAS/AD, industrial automation, robotics etc. Push the boundaries in (modular) end-to-end perception and planning for ADAS/AD, incorporating advancements in large vision-language-(action) models to aid reasoning capabilities and explainability. Collaborate cross-functionally with global research and engineering teams to ensure seamless technology transfer and system integration. Implement research results to solve real-world challenges, ensuring high-quality system integration within Bosch's existing platforms. Stay at the forefront of innovation by actively engaging with academic and industry communities through conferences, workshops, and technical events. Document and disseminate research findings through high-caliber publications and/or patent submissions. Qualifications Basic Qualifications Ph.D. in Computer Science, Robotics or a related discipline or Master's degree with >= 2/4years industry experience after graduation. A minimum of 5years of R&D experience, or an equivalent graduate research background, primarily in AI technologies including Computer Vision and Robotic or Automotive Motion and Behavioral Planning. Proficiency in one or more programming languages commonly used in machine learning (e.g., Python, C++, Rust). Strong interpersonal, communication, and teamwork capabilities. Knowledge of major machine learning frameworks like TensorFlow or PyTorch. Hands-on experience in reinforcement learning for behavior or motion planning or other applicable contexts and familiarity with common RL techniques (e.g. PPO, DQN, DDPG). A strong portfolio of publications in premier machine learning, deep learning, robotics and computer vision journals and conferences. Preferred Qualifications Experience with real-world product development and deployment of autonomous systems. Hands-on experience building and applying multimodal transformer-based sequence-to-sequence models, especially multimodal vision-language-action models. Hands-on experience in computer vision and deep learning, with work in any of the following areas: multimodal transformers, multimodal language models, diffusion models, NeRF, gaussian splatting, object detection / segmentation, 3D scene understanding, sensor calibration, SfM, voxel/BEV grid-based feature representation. Additional Information We offer a competitive base salary for this position with a range in US-California of $185,000 - $215,000 along with an annual corporate bonus, and a long-term incentive bonus designed to reward sustained impact and contribution over time. Within the salary range, the individual pay is determined based on several factors, including, but not limited to, work experience and job knowledge, complexity of the role, job location, etc. Your well-being matters at Bosch! We offer a a benefits package designed to empower you in every area of your life. This includes premium health coverage, a 401(k) with generous matching, resources for financial planning and goal setting, ample paid time off, parental leave, and comprehensive life and disability protection. Your Recruiter can share more details for this position during the interview process. Learn more about our full benefits offerings by visiting: . Equal Opportunity Employer, including disability / veterans. Bosch adheres to Federal, State, and Local laws regarding drug-testing. Employment is contingent upon the successful completion of a drug screen and background check. Candidates who have been offered the position must pass both screenings before their start date.
Company Description The Bosch Research and Technology Center North America with offices in Sunnyvale, California, Pittsburgh, Pennsylvania, and Cambridge, Massachusetts is a part of the global Bosch Group (), a company with over 70 billion euro revenue, 400,000 employees worldwide, a very diverse product portfolio, and a history spanning over 125 years. The Research and Technology Center North America (RTC-NA) is dedicated to providing technologies and system solutions for various Bosch business fields, primarily in the field of artificial intelligence, energy technologies, internet technologies, circuit design, semiconductors and wireless, as well as advanced MEMS design. As a part of the global research, our AI research in Silicon Valley focuses on Foundation Models, Big Data Visual Analytics, Explainable AI (XAI), Natural Language Processing, Computer Vision & Mixed Reality, Cloud Robotics, Data Science, AI System Engineering, Time-series Analysis. We develop scalable, intelligent, and trustworthy AIoT solutions for Bosch products and services in application areas such as automated driving, advanced driver assistance systems (ADAS), robotics, smart manufacturing, enterprise AI, health care, smart home and building solutions. Originating from the AI research in Silicon Valley, our Foundation Model Powered AI Enablers group plays a pivotal role in shaping the future of industrial AI experiences for Bosch products and services. By fusing cutting-edge machine learning, data analysis, and interactive visualization technologies, we research and develop scalable and transparent AI & big data analytic solutions (e.g., audio, images, sensor logs) for a range of domains, including Industry 4.0 (I4.0), IoT, autonomous driving, and connected vehicles. Our award-winning team (IEEE VIS best paper & best paper runner-ups) actively collaborates with leading academic and industry groups to advance research ideas and disseminate findings in top AI conferences and journals, such as CVPR, ICCV, ICRA, ECCV, NeurIPS, ICLR, TVCG, SIGGRAPH. We Are Bosch. At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people's lives. Our areas of activity are every bit as diverse as our outstanding Bosch teams around the world. Their creativity is the key to innovation through connected living, mobility, or industry. Let's grow together, enjoy more, and inspire each other. Work Reinvent yourself: At Bosch, you will evolve. Discover new directions: At Bosch, you will find your place. Balance your life: At Bosch, your job matches your lifestyle. Celebrate success: At Bosch, we celebrate you. Be yourself: At Bosch, we value values. Shape tomorrow: At Bosch, you change lives. Do you want beneficial technologies being shaped your ideas? Whether in the areas of mobility solutions, consumer goods, industrial technology or energy and building technology - with us, you will have the chance to improve quality of life all across the globe. Welcome to Bosch. Job Description Key Responsibilities: Conduct research on GenAI and Foundation models (FM) to address academic and industrial challenges in ADAS AI domain such as 3D reconstruction, world model, map and localization, data curation and auto-labeling, etc. Work with an international team of experts to transfer and apply the Bosch in-house GenAI / FM innovations and 3rd-party solutions to Bosch AI products and services, such as ADAS. Stay abreast of the latest technological advancements and market trends by attending academic conferences, technical events, and seminars. Offer expert insights to the management team in relevant technology sectors, aiding in strategic planning, R&D trajectory, and investment decisions. Document and disseminate research findings through high-caliber publications and/or patent submissions. Qualifications Basic Qualifications Ph.D. in Computer Science or Engineering, or a related discipline or master's degree with 3+ years industry experience (GenAI and/or world model related) after graduation 2+ years of research experience or equivalent graduate research experience on foundation models, including training, fine-tuning, and prompting In-depth experiences in deep learning, with work in at least two of the following areas: diffusion models, 3D reconstruction, world models Proficiency in one or more programming languages commonly used in systems research (e.g., Python, C++) and hands on experience with AI / NLP / CV libraries Publication record in top venues including CVPR, ICCV, ECCV, ICRA, IROS, RSS, NeurIPS, AAAI, ACL, EMNLP, and CoRL Strong interpersonal, communication, and teamwork capabilities Preferred Qualifications Strong background in math and statistics 3+ years experiences in industrial research Hands-on experience in product development in the above-mentioned areas for consumer/enterprise markets Experience in leading R&D project & team dealing with international customers Leadership skills with excellent English communication & teamwork skills Additional Information We offer a competitive base salary for this position with a range in US-California of $165,000 - $185,000 along with an annual corporate bonus, and a long-term incentive bonus designed to reward sustained impact and contribution over time. Within the salary range, the individual pay is determined based on several factors, including, but not limited to, work experience and job knowledge, complexity of the role, job location, etc. Your well-being matters at Bosch! We offer a a benefits package designed to empower you in every area of your life. This includes premium health coverage, a 401(k) with generous matching, resources for financial planning and goal setting, ample paid time off, parental leave, and comprehensive life and disability protection. Your Recruiter can share more details for this position during the interview process. Learn more about our full benefits offerings by visiting: . Equal Opportunity Employer, including disability / veterans. Culture and Benefits Bosch in the USA
06/13/2026
Full time
Company Description The Bosch Research and Technology Center North America with offices in Sunnyvale, California, Pittsburgh, Pennsylvania, and Cambridge, Massachusetts is a part of the global Bosch Group (), a company with over 70 billion euro revenue, 400,000 employees worldwide, a very diverse product portfolio, and a history spanning over 125 years. The Research and Technology Center North America (RTC-NA) is dedicated to providing technologies and system solutions for various Bosch business fields, primarily in the field of artificial intelligence, energy technologies, internet technologies, circuit design, semiconductors and wireless, as well as advanced MEMS design. As a part of the global research, our AI research in Silicon Valley focuses on Foundation Models, Big Data Visual Analytics, Explainable AI (XAI), Natural Language Processing, Computer Vision & Mixed Reality, Cloud Robotics, Data Science, AI System Engineering, Time-series Analysis. We develop scalable, intelligent, and trustworthy AIoT solutions for Bosch products and services in application areas such as automated driving, advanced driver assistance systems (ADAS), robotics, smart manufacturing, enterprise AI, health care, smart home and building solutions. Originating from the AI research in Silicon Valley, our Foundation Model Powered AI Enablers group plays a pivotal role in shaping the future of industrial AI experiences for Bosch products and services. By fusing cutting-edge machine learning, data analysis, and interactive visualization technologies, we research and develop scalable and transparent AI & big data analytic solutions (e.g., audio, images, sensor logs) for a range of domains, including Industry 4.0 (I4.0), IoT, autonomous driving, and connected vehicles. Our award-winning team (IEEE VIS best paper & best paper runner-ups) actively collaborates with leading academic and industry groups to advance research ideas and disseminate findings in top AI conferences and journals, such as CVPR, ICCV, ICRA, ECCV, NeurIPS, ICLR, TVCG, SIGGRAPH. We Are Bosch. At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people's lives. Our areas of activity are every bit as diverse as our outstanding Bosch teams around the world. Their creativity is the key to innovation through connected living, mobility, or industry. Let's grow together, enjoy more, and inspire each other. Work Reinvent yourself: At Bosch, you will evolve. Discover new directions: At Bosch, you will find your place. Balance your life: At Bosch, your job matches your lifestyle. Celebrate success: At Bosch, we celebrate you. Be yourself: At Bosch, we value values. Shape tomorrow: At Bosch, you change lives. Do you want beneficial technologies being shaped your ideas? Whether in the areas of mobility solutions, consumer goods, industrial technology or energy and building technology - with us, you will have the chance to improve quality of life all across the globe. Welcome to Bosch. Job Description Key Responsibilities: Conduct research on GenAI and Foundation models (FM) to address academic and industrial challenges in ADAS AI domain such as 3D reconstruction, world model, map and localization, data curation and auto-labeling, etc. Work with an international team of experts to transfer and apply the Bosch in-house GenAI / FM innovations and 3rd-party solutions to Bosch AI products and services, such as ADAS. Stay abreast of the latest technological advancements and market trends by attending academic conferences, technical events, and seminars. Offer expert insights to the management team in relevant technology sectors, aiding in strategic planning, R&D trajectory, and investment decisions. Document and disseminate research findings through high-caliber publications and/or patent submissions. Qualifications Basic Qualifications Ph.D. in Computer Science or Engineering, or a related discipline or master's degree with 3+ years industry experience (GenAI and/or world model related) after graduation 2+ years of research experience or equivalent graduate research experience on foundation models, including training, fine-tuning, and prompting In-depth experiences in deep learning, with work in at least two of the following areas: diffusion models, 3D reconstruction, world models Proficiency in one or more programming languages commonly used in systems research (e.g., Python, C++) and hands on experience with AI / NLP / CV libraries Publication record in top venues including CVPR, ICCV, ECCV, ICRA, IROS, RSS, NeurIPS, AAAI, ACL, EMNLP, and CoRL Strong interpersonal, communication, and teamwork capabilities Preferred Qualifications Strong background in math and statistics 3+ years experiences in industrial research Hands-on experience in product development in the above-mentioned areas for consumer/enterprise markets Experience in leading R&D project & team dealing with international customers Leadership skills with excellent English communication & teamwork skills Additional Information We offer a competitive base salary for this position with a range in US-California of $165,000 - $185,000 along with an annual corporate bonus, and a long-term incentive bonus designed to reward sustained impact and contribution over time. Within the salary range, the individual pay is determined based on several factors, including, but not limited to, work experience and job knowledge, complexity of the role, job location, etc. Your well-being matters at Bosch! We offer a a benefits package designed to empower you in every area of your life. This includes premium health coverage, a 401(k) with generous matching, resources for financial planning and goal setting, ample paid time off, parental leave, and comprehensive life and disability protection. Your Recruiter can share more details for this position during the interview process. Learn more about our full benefits offerings by visiting: . Equal Opportunity Employer, including disability / veterans. Culture and Benefits Bosch in the USA
Located in the city center of Beijing, the College of Artificial Intelligence at Capital Normal University invites applications for full-time tenured faculty positions and research positions at all ranks (Professor /Associate Professor /Assistant Professor/Researcher/Associate Researcher/Assistant Researcher). Email: t116 AT cnu DOT edu DOT cn
We welcome applicants with research and/or teaching focus across a broad range of AI disciplines, including but not limited to:
Machine Learning & Deep Learning Theory, Computer Vision (3D, Video, Generative AI, Multimodal), Natural Language Processing & Large Language Models, Data Mining & Databases, Generative AI and Creative Applications, Graph Learning & Knowledge Graphs, AI for Healthcare / Biology / Scientific Discovery, Autonomous Systems & Embodied AI, Trustworthy AI (Robustness, Fairness, Privacy), Efficient AI (Neural Architecture Search, Model Compression), AI for Science, Healthcare, and Sustainability, Electrical Engineering & Signal Processing, Neuromorphic & Brain-Inspired Computing.
Successful candidates are expected to build an active research program, supervise graduate students, and contribute to undergraduate and graduate education.
IDEAL PROFILES
PhD in Computer Science, ECE, Statistics, Mathematics, or a closely related field
Strong publication record at top venues (NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, ACL, EMNLP, KDD, SIGIR, AAAI, IJCAI, IEEE/ACM Transactions, etc.)
Commitment to collaborative, rigorous academic research
Good academic ethics and professionalism
Early-career researchers — including assistant professors, postdoctoral researchers, and research scientists concluding appointments in 2026–2029 — are particularly encouraged to apply. We are happy to time offers to align with your transition.
COMPENSATION & RESOURCES
Capital Normal University offers highly competitive packages by international standards. China's effective tax rates are substantially lower than those in most OECD countries, which meaningfully increases take-home pay at comparable income levels. Eligible candidates may also qualify for substantial multi-year research grants from national and Beijing municipal funding bodies, awarded on top of the base university package. These grants can significantly supplement your salary, expand your lab budget, fund PhD students, and cover equipment costs.
ABOUT CAPITAL NORMAL UNIVERSITY
Capital Normal University (CNU; 首都师范大学) is a key comprehensive university in Beijing, with strong national funding and a clear institutional mandate to become a top-tier AI research university.
40,000+ students · 3,000+ faculty
Located in Haidian District — Beijing's university and technology hub
Strong ties to Beijing's thriving tech and research ecosystem
Direct pipeline to China's top undergraduate talent for PhD recruitment
Beijing hosts more leading tech companies, research labs, and AI initiatives than any other city in China — Baidu, ByteDance, DiDi, Meituan, Xiaomi, MSRA, Zhongguancun Science Park, and dozens of world-class AI labs, all within 30 minutes. The collaboration and career opportunities for you and your students are unmatched.
HOW TO APPLY
Interested applicants are encouraged to submit a single PDF to t116@cnu.edu.cn containing:
Curriculum vitae with full publication list
PDF copies of 3–5 representative publications
Research statement
At least three letters of recommendation (sent directly by recommenders to t116@cnu.edu.cn )
This posting is open-ended and continuously accepting applications. There is no deadline — qualified candidates are welcome to apply at any time. Applications are reviewed on a rolling basis and candidates will be contacted as positions become available.
Feel free to reach out before submitting a full application. We are happy to discuss fit, timeline, and compensation before you invest time in a formal submission.
Capital Normal University is an equal opportunity employer. We particularly welcome applications from women and underrepresented groups in AI.
05/04/2026
Full time
Located in the city center of Beijing, the College of Artificial Intelligence at Capital Normal University invites applications for full-time tenured faculty positions and research positions at all ranks (Professor /Associate Professor /Assistant Professor/Researcher/Associate Researcher/Assistant Researcher). Email: t116 AT cnu DOT edu DOT cn
We welcome applicants with research and/or teaching focus across a broad range of AI disciplines, including but not limited to:
Machine Learning & Deep Learning Theory, Computer Vision (3D, Video, Generative AI, Multimodal), Natural Language Processing & Large Language Models, Data Mining & Databases, Generative AI and Creative Applications, Graph Learning & Knowledge Graphs, AI for Healthcare / Biology / Scientific Discovery, Autonomous Systems & Embodied AI, Trustworthy AI (Robustness, Fairness, Privacy), Efficient AI (Neural Architecture Search, Model Compression), AI for Science, Healthcare, and Sustainability, Electrical Engineering & Signal Processing, Neuromorphic & Brain-Inspired Computing.
Successful candidates are expected to build an active research program, supervise graduate students, and contribute to undergraduate and graduate education.
IDEAL PROFILES
PhD in Computer Science, ECE, Statistics, Mathematics, or a closely related field
Strong publication record at top venues (NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, ACL, EMNLP, KDD, SIGIR, AAAI, IJCAI, IEEE/ACM Transactions, etc.)
Commitment to collaborative, rigorous academic research
Good academic ethics and professionalism
Early-career researchers — including assistant professors, postdoctoral researchers, and research scientists concluding appointments in 2026–2029 — are particularly encouraged to apply. We are happy to time offers to align with your transition.
COMPENSATION & RESOURCES
Capital Normal University offers highly competitive packages by international standards. China's effective tax rates are substantially lower than those in most OECD countries, which meaningfully increases take-home pay at comparable income levels. Eligible candidates may also qualify for substantial multi-year research grants from national and Beijing municipal funding bodies, awarded on top of the base university package. These grants can significantly supplement your salary, expand your lab budget, fund PhD students, and cover equipment costs.
ABOUT CAPITAL NORMAL UNIVERSITY
Capital Normal University (CNU; 首都师范大学) is a key comprehensive university in Beijing, with strong national funding and a clear institutional mandate to become a top-tier AI research university.
40,000+ students · 3,000+ faculty
Located in Haidian District — Beijing's university and technology hub
Strong ties to Beijing's thriving tech and research ecosystem
Direct pipeline to China's top undergraduate talent for PhD recruitment
Beijing hosts more leading tech companies, research labs, and AI initiatives than any other city in China — Baidu, ByteDance, DiDi, Meituan, Xiaomi, MSRA, Zhongguancun Science Park, and dozens of world-class AI labs, all within 30 minutes. The collaboration and career opportunities for you and your students are unmatched.
HOW TO APPLY
Interested applicants are encouraged to submit a single PDF to t116@cnu.edu.cn containing:
Curriculum vitae with full publication list
PDF copies of 3–5 representative publications
Research statement
At least three letters of recommendation (sent directly by recommenders to t116@cnu.edu.cn )
This posting is open-ended and continuously accepting applications. There is no deadline — qualified candidates are welcome to apply at any time. Applications are reviewed on a rolling basis and candidates will be contacted as positions become available.
Feel free to reach out before submitting a full application. We are happy to discuss fit, timeline, and compensation before you invest time in a formal submission.
Capital Normal University is an equal opportunity employer. We particularly welcome applications from women and underrepresented groups in AI.
Located in the city center of Beijing, the College of Artificial Intelligence at Capital Normal University invites applications for full-time tenured faculty positions and research positions at all ranks (Professor /Associate Professor /Assistant Professor/Researcher/Associate Researcher/Assistant Researcher). Email: t116 AT cnu DOT edu DOT cn
We welcome applicants with research and/or teaching focus across a broad range of AI disciplines, including but not limited to:
Machine Learning & Deep Learning Theory, Computer Vision (3D, Video, Generative AI, Multimodal), Natural Language Processing & Large Language Models, Data Mining & Databases, Generative AI and Creative Applications, Graph Learning & Knowledge Graphs, AI for Healthcare / Biology / Scientific Discovery, Autonomous Systems & Embodied AI, Trustworthy AI (Robustness, Fairness, Privacy), Efficient AI (Neural Architecture Search, Model Compression), AI for Science, Healthcare, and Sustainability, Electrical Engineering & Signal Processing, Neuromorphic & Brain-Inspired Computing.
Successful candidates are expected to build an active research program, supervise graduate students, and contribute to undergraduate and graduate education.
IDEAL PROFILES
PhD in Computer Science, ECE, Statistics, Mathematics, or a closely related field
Strong publication record at top venues (NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, ACL, EMNLP, KDD, SIGIR, AAAI, IJCAI, IEEE/ACM Transactions, etc.)
Commitment to collaborative, rigorous academic research
Good academic ethics and professionalism
Early-career researchers — including assistant professors, postdoctoral researchers, and research scientists concluding appointments in 2026–2029 — are particularly encouraged to apply. We are happy to time offers to align with your transition.
COMPENSATION & RESOURCES
Capital Normal University offers highly competitive packages by international standards. China's effective tax rates are substantially lower than those in most OECD countries, which meaningfully increases take-home pay at comparable income levels. Eligible candidates may also qualify for substantial multi-year research grants from national and Beijing municipal funding bodies, awarded on top of the base university package. These grants can significantly supplement your salary, expand your lab budget, fund PhD students, and cover equipment costs.
ABOUT CAPITAL NORMAL UNIVERSITY
Capital Normal University (CNU; 首都师范大学) is a key comprehensive university in Beijing, with strong national funding and a clear institutional mandate to become a top-tier AI research university.
40,000+ students · 3,000+ faculty
Located in Haidian District — Beijing's university and technology hub
Strong ties to Beijing's thriving tech and research ecosystem
Direct pipeline to China's top undergraduate talent for PhD recruitment
Beijing hosts more leading tech companies, research labs, and AI initiatives than any other city in China — Baidu, ByteDance, DiDi, Meituan, Xiaomi, MSRA, Zhongguancun Science Park, and dozens of world-class AI labs, all within 30 minutes. The collaboration and career opportunities for you and your students are unmatched.
HOW TO APPLY
Interested applicants are encouraged to submit a single PDF to t116@cnu.edu.cn containing:
Curriculum vitae with full publication list
PDF copies of 3–5 representative publications
Research statement
At least three letters of recommendation (sent directly by recommenders to t116@cnu.edu.cn )
This posting is open-ended and continuously accepting applications. There is no deadline — qualified candidates are welcome to apply at any time. Applications are reviewed on a rolling basis and candidates will be contacted as positions become available.
Feel free to reach out before submitting a full application. We are happy to discuss fit, timeline, and compensation before you invest time in a formal submission.
Capital Normal University is an equal opportunity employer. We particularly welcome applications from women and underrepresented groups in AI.
05/04/2026
Full time
Located in the city center of Beijing, the College of Artificial Intelligence at Capital Normal University invites applications for full-time tenured faculty positions and research positions at all ranks (Professor /Associate Professor /Assistant Professor/Researcher/Associate Researcher/Assistant Researcher). Email: t116 AT cnu DOT edu DOT cn
We welcome applicants with research and/or teaching focus across a broad range of AI disciplines, including but not limited to:
Machine Learning & Deep Learning Theory, Computer Vision (3D, Video, Generative AI, Multimodal), Natural Language Processing & Large Language Models, Data Mining & Databases, Generative AI and Creative Applications, Graph Learning & Knowledge Graphs, AI for Healthcare / Biology / Scientific Discovery, Autonomous Systems & Embodied AI, Trustworthy AI (Robustness, Fairness, Privacy), Efficient AI (Neural Architecture Search, Model Compression), AI for Science, Healthcare, and Sustainability, Electrical Engineering & Signal Processing, Neuromorphic & Brain-Inspired Computing.
Successful candidates are expected to build an active research program, supervise graduate students, and contribute to undergraduate and graduate education.
IDEAL PROFILES
PhD in Computer Science, ECE, Statistics, Mathematics, or a closely related field
Strong publication record at top venues (NeurIPS, ICML, ICLR, CVPR, ICCV, ECCV, ACL, EMNLP, KDD, SIGIR, AAAI, IJCAI, IEEE/ACM Transactions, etc.)
Commitment to collaborative, rigorous academic research
Good academic ethics and professionalism
Early-career researchers — including assistant professors, postdoctoral researchers, and research scientists concluding appointments in 2026–2029 — are particularly encouraged to apply. We are happy to time offers to align with your transition.
COMPENSATION & RESOURCES
Capital Normal University offers highly competitive packages by international standards. China's effective tax rates are substantially lower than those in most OECD countries, which meaningfully increases take-home pay at comparable income levels. Eligible candidates may also qualify for substantial multi-year research grants from national and Beijing municipal funding bodies, awarded on top of the base university package. These grants can significantly supplement your salary, expand your lab budget, fund PhD students, and cover equipment costs.
ABOUT CAPITAL NORMAL UNIVERSITY
Capital Normal University (CNU; 首都师范大学) is a key comprehensive university in Beijing, with strong national funding and a clear institutional mandate to become a top-tier AI research university.
40,000+ students · 3,000+ faculty
Located in Haidian District — Beijing's university and technology hub
Strong ties to Beijing's thriving tech and research ecosystem
Direct pipeline to China's top undergraduate talent for PhD recruitment
Beijing hosts more leading tech companies, research labs, and AI initiatives than any other city in China — Baidu, ByteDance, DiDi, Meituan, Xiaomi, MSRA, Zhongguancun Science Park, and dozens of world-class AI labs, all within 30 minutes. The collaboration and career opportunities for you and your students are unmatched.
HOW TO APPLY
Interested applicants are encouraged to submit a single PDF to t116@cnu.edu.cn containing:
Curriculum vitae with full publication list
PDF copies of 3–5 representative publications
Research statement
At least three letters of recommendation (sent directly by recommenders to t116@cnu.edu.cn )
This posting is open-ended and continuously accepting applications. There is no deadline — qualified candidates are welcome to apply at any time. Applications are reviewed on a rolling basis and candidates will be contacted as positions become available.
Feel free to reach out before submitting a full application. We are happy to discuss fit, timeline, and compensation before you invest time in a formal submission.
Capital Normal University is an equal opportunity employer. We particularly welcome applications from women and underrepresented groups in AI.
