Total 287 job vacancies in Singapore

We are seeking to appoint a Research Associate who will contribute to NTU's mission of advancing system security, privacy-preserving computing, and intelligent vulnerability analysis. The ideal candidate will provide strategic research support in bridging low-level system architecture with AI-driven security solutions. This role requires strong expertise in developing formally verified confidential computing environments, optimizing machine learning architectures for secure inference, and building multi-agent pipelines for protocol specification analysis. By driving these interdisciplinary efforts, the appointed researcher will play a pivotal role in NTU's strategic initiatives to build trustworthy, resilient, and efficient computing ecosystems, while fostering innovative collaborations across academia and industry.

Key Responsibilities:

• Conduct cutting-edge research at the intersection of system security, privacy-preserving computing, and intelligent vulnerability analysis.

• Design and implement formally verified, hardware-assisted isolation environments for confidential cloud computing.

• Formulate optimization strategies for machine learning architectures to enable high-performance secure inference.

• Develop multi-agent frameworks driven by large language models to systematically analyze protocol specifications and predict implementation vulnerabilities.

• Collaborate with academic and industry partners to translate advanced security paradigms into real-world applications.

• Prepare and co-author high-quality research papers for premier venues in security, systems, and software engineering.

• Contribute to proposal writing and grant applications in hardware-software co-design and AI-driven security.

• Support the supervision and mentorship of undergraduate and postgraduate students in related projects.

• Assist in building experimental platforms and validation datasets for protocol analysis and confidential computing frameworks.

Requirements:

• Masters degree in Computer Science, Cyber Security, or a related discipline.

• Research or applied experience in system security.

• Experience with privacy-preserving machine learning, AI-driven vulnerability analysis, and vulnerability detection tools.

• Knowledge of cryptographic protocols such as Multi-Party Computation.

• Proficiency in programming languages such as Python, C/C++, and Java.

• Strong academic writing and publication track record, with contributions to international conferences (e.g., ICSE).

• Strong analytical and problem-solving skills, particularly in bridging low-level system architectures.

• Proficiency in experimental design, evaluation benchmarks, and reproducibility of results.

• Excellent communication and collaboration skills in multidisciplinary teams.

• Ability to mentor and support students in research activities and software projects.

We regret that only shortlisted candidates will be notified.

Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a leading college that is known for its excellent curriculum, outstanding and impactful research, and world-renowned faculty.

A hot bed of cutting-edge technology and groundbreaking research, the College aims to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and grow. We welcome you to join our community of faculty, students and alumni who are shaping the future of AI, Data Science and Computing.

Key Responsibilities:

• Designing and developing scalable algorithms for building Data+AI systems.

• Writing research papers of high quality based on research results

• Building deployable Data+AI systems based on the research results.

Job Requirements:

• Preferably PhD in Computer Engineering, Computer Science, Electronics Engineering or equivalent.

• Independent, highly analytical, proactive and a team player

• Excellent teamwork and verbal, written communication skills

• In-depth knowledge relevant to the project domain.

• Demonstrated capability to conduct innovative research.

• The ability and willingness to adapt and incorporate novel ideas and approaches in scientific industry.

• Demonstrated ability to formulate hypothesis and design effective experimental plans.

• Ability to design and implement new experimental methods.

• High-level expertise in the required experiment or modelling methods.

• Ability to initiate collaboration research in multidisciplinary team.

• Oversee and report project progress.

• Ability and willingness to work some flexible hours.

We regret that only shortlisted candidates will be notified.

We are seeking to appoint a Research Associate to support research in cybersecurity, trustworthy AI, and large language model security. The successful candidate will contribute to projects related to privacy-preserving AI interactions, trustworthy knowledge acquisition, and secure information processing in security-sensitive AI systems. The role will involve assisting in the design, implementation, and evaluation of methods for reducing privacy leakage, mitigating adversarial risks, and improving the security and trustworthiness of LLM-based systems. The candidate will also support the construction of research benchmarks, experimental evaluation, and the preparation of high-quality research publications. This position will contribute to NTU’s mission of advancing secure and trustworthy intelligent systems through interdisciplinary research in cybersecurity and artificial intelligence.
 

Key responsibilities:

• Conduct research on cybersecurity, trustworthy AI, and large language model security, with a focus on privacy-preserving AI interactions and secure information processing.

• Design, implement, and evaluate methods for trustworthy knowledge acquisition in LLM-based systems, including approaches to reduce privacy leakage and mitigate adversarial risks.

• Develop learning-based and evaluation-driven approaches to improve the security, reliability, and trustworthiness of AI systems in security-sensitive scenarios.

• Construct experimental platforms, benchmarks, and datasets for evaluating LLM security, privacy protection, and trustworthy AI applications.

• Conduct empirical experiments, performance analysis, and ablation studies to validate proposed methods and support reproducible research.

• Prepare and co-author high-quality research papers, technical reports, and project documentation, and collaborate with academic and industry partners on related research projects.

Requirements:

• A Master’s degree in Computer Science, Cyber Security, Artificial Intelligence, or a related discipline.

• Research or applied experience in cybersecurity, trustworthy AI, large language model security, privacy-preserving AI, or related areas.

• Experience with LLM-based systems, trustworthy knowledge acquisition, information retrieval, query rewriting, or AI security evaluation.

• Familiarity with privacy leakage, adversarial risks, secure information processing, and trustworthiness evaluation in AI or LLM-based systems.

• Experience in designing and conducting empirical experiments, including benchmark construction, dataset preparation, performance evaluation, and ablation analysis.

We regret to inform that only shortlisted candidates will be notified.

The Lee Kong Chian School of Medicine (LKCMedicine) trains doctors who put patients at the centre of their exemplary care. The School, which offers both undergraduate and graduate programmes, is named after local philanthropist Tan Sri Dato Lee Kong Chian. Established in 2010 by Nanyang Technological University, Singapore, in partnership with Imperial College London, LKCMedicine aims to be a model for innovative medical education and a centre for transformative research. The School’s primary clinical partner is the National Healthcare Group, a leader in public healthcare recognised for the quality of its medical expertise, facilities and teaching. The School is transitioning to an NTU medical school ahead of the 2028 successful conclusion of the NTU-Imperial partnership to set up a Joint Medical School. In August 2024, we welcomed our first intake of the NTU MBBS programme, that has been recently enhanced to include themes like precision medicine and Artificial Intelligence (AI) in healthcare, with an expanded scope in the medical humanities. Graduates from the five-year undergraduate medical degree programme will have a strong understanding of the scientific basis of medicine, with an emphasis on technology, data science and the humanities.

We are looking for a Research Associate to work in mental health AI. The role will focus on development of novel multimodal AI models integrating speech, emotions, linguistics, alongside other key mental health modalities. You will also be required to participate in implementation science research pertaining to the deployment and efficacy testing of AI solutions. You will participate in grant and manuscript preparations and also participate in any high impact projects the group is currently working on.

Key Responsibilities:

• De-identification of mental health speech transcripts

• Design and extract text features for modelling ultra-high-risk outcomes

• Design and improve existing multimodal machine learning frameworks for predicting ultra-high-risk outcomes

• Implementation Science research --- including assistance in recruitment, administration of surveys, conducting AI enactment scenarios, analysis of data

• Take care of the Lab’s computing infrastructure--- including GPU-enable units and HPC server

• Manuscript and grant preparations --- for all research pertaining to mental health NLP and behavioral work. And to support grant administration, co-writing, and liaison with grant offices and administrative bodies.

• Research protocol development --- including the development of LLM-prompt workflows, deep learning and training and optimization processes, data transformation and feature engineering.

• AI model development --- training, development, deployment, post-deployment testing and monitoring of LLM and deep learning models pertinent to the mental health project.

Required educational qualification, experience, skills and competencies:

• Master (for Research Associate equivalent) qualification degree in data science, AI, mental health, implementation science psychiatry discipline or related field

• At least 1 years of relevant experiences in similar role / technical hands-on experience in data science and analytics

• Familiarity with PDPA, Good Research Practice, NLP and linguistics analysis

• Good written and oral communication skills (if applicable)

• Proficiency in python, R, Tensorflow, ML, deep learning, LLMs, statistical modelling

• Competent in soft skills / general personality traits e.g. information visualization, interaction design

• Interpersonal skill (e.g. Ability to work independently / develop solutions under strict timelines, meticulous and eye for details / excellent organizational / time management skills)

• Entry level candidates are welcome to apply

The Lee Kong Chian School of Medicine (LKCMedicine) trains doctors who put patients at the centre of their exemplary care. The School, which offers both undergraduate and graduate programmes, is named after local philanthropist Tan Sri Dato Lee Kong Chian. Established in 2010 by Nanyang Technological University, Singapore, in partnership with Imperial College London, LKCMedicine aims to be a model for innovative medical education and a centre for transformative research. The School’s primary clinical partner is the National Healthcare Group, a leader in public healthcare recognised for the quality of its medical expertise, facilities and teaching. The School is transitioning to an NTU medical school ahead of the 2028 successful conclusion of the NTU-Imperial partnership to set up a Joint Medical School. In August 2024, we welcomed our first intake of the NTU MBBS programme, that has been recently enhanced to include themes like precision medicine and Artificial Intelligence (AI) in healthcare, with an expanded scope in the medical humanities. Graduates from the five-year undergraduate medical degree programme will have a strong understanding of the scientific basis of medicine, with an emphasis on technology, data science and the humanities.

The Nguyen Lab (Principal Investigator: Thanh Ricky Nguyen) within the Cancer Discovery and Regenerative Medicine Program is a collaborative and innovative research group focused on uncovering how cells maintain internal quality control and how these processes break down in disease. Our research centers on the molecular mechanisms of autophagy and mitophagy, particularly in the context of aging, neurodegeneration, and cancer. We combine approaches in biochemistry, molecular biology, and cell biology with emerging experimental systems, such as advanced 3D cultures and in vivo models, as we build a versatile and evolving research platform to study disease-relevant biology.

For more details, please see Assistant Professor Nguyen’s profile and within the Cancer Discovery and Regenerative Medicine Program

We are looking for a motivated Research Assistant/Associate to join our collaborative research environment and support ongoing projects investigating autophagy and mitophagy in disease. The role involves performing experiments, analyzing data, and contributing to the development of new experimental approaches and model systems as the lab continues to grow.

Key Responsibilities:

• Maintain and develop cellular models, including mammalian cell culture and advanced systems such as stem cell–derived models and organoids

• Independently perform and analyze a wide range of molecular and cellular biology experiments, such as DNA cloning, western blotting, co-immunoprecipitation, gene perturbation approaches (e.g., CRISPR-based methods and viral systems), and related biochemical assays

• Conduct imaging-based experiments, including immunofluorescence and confocal microscopy

• Contribute to the development and validation of cellular models for studying autophagy, mitophagy, and cellular stress pathways

• Work closely with the Principal Investigator and lab members, including PhD students, to implement research plans and optimize experimental protocols

• Assist with laboratory operations and regulatory compliance, including contributing to the development of risk assessments (RAs), standard operating procedures (SOPs), and maintaining an organized lab environment

Required educational qualification, experience, skills and competencies (to delete / replace in following grey highlight, where applicable):

• Bachelor degree (for Assistant) or Master degree (for Associate) in Cell Biology, Molecular Biology, Biochemistry, or a related discipline

• Minimum of 1 year of hands-on laboratory experience in mammalian tissue culture, particularly adherent cell lines (e.g., HEK, HeLa, or similar systems)

• Experience with molecular and cellular biology techniques (e.g., DNA cloning, western blotting, or related assays)

• Experience with stem cell culture and/or organoid systems is strongly preferred; candidates with such experience will be prioritized

• Good written and oral communication skills, with the ability to document and present experimental findings clearly

• Demonstrated ability to plan and execute experiments with appropriate supervision, with strong problem-solving skills and attention to detail

• Excellent interpersonal skills, including the ability to work both independently and collaboratively in a research environment, with strong organizational and time management skills

• Entry-level candidates with relevant hands-on experience are welcome to apply

We are seeking a highly motivated Research Associate/ Research Fellow to join our advanced sensors research team at NTU MAE. The successful candidate will support multidisciplinary research activities in biomechanics, robotics, and advanced materials within the laboratory.

Key Responsibilities:

• Support the team towards comprehensive literature reviews on injury biomechanics, physiological effects, computational modelling and related research topics.

• Develop, implement and validate computational simulation models for impact and injury prediction using appropriate numerical methods and software tools.

• Design and conduct experimental studies using instrumented human manikins and other test platforms to evaluate biomechanical responses and validate simulation results.

• Assist in the design, fabrication, and characterization of tissue simulants and non-Newtonian materials, including support for 3D printing and additive manufacturing processes.

• Develop and optimize experimental setups, testing protocols and data acquisition systems for biomechanical and robotics-related research.

• Analyse experimental and simulation data, prepare technical reports, and document research findings.

• Support the integration of advanced materials and sensing technologies into robotics and other interdisciplinary research initiatives.

• Inline sensor system developmental work for 3D printing of non-newtonian materials.  Optimization of hardware configurations to maintain a food-grade environment, including development of testing protocols and validation procedures.

• Collaborate with faculty members, researchers, students and external partners to achieve project objectives and milestones.

• Assist in the preparation of research publications, presentations, grant reports, and project deliverables.

• Maintain laboratory equipment and ensure compliance with laboratory safety procedures and research best practices.

• Liaise with external vendors on custom sensors and related mechanical system development.  Manage technical specifications and acceptance testing.  Coordinate technical discussions with collaborators and project stakeholders.  Track project milestones, risks, and technical deliverables.

Requirements

• PhD's or Master's degree in Mechanical Engineering, Mechatronics, Robotics, or related discipline.

• Knowledge of multi-physics modelling for non-newtonian materials.

• Experience with 3D printing technologies, sensors, system integration, experimental testing, or measurement systems will be advantageous.

• Familiarity with signal processing and analysis, control systems, Python, MATLAB, C++, LabVIEW, or equivalent tools is preferred.

• Strong analytical, problem-solving, communication, and project coordination skills.

• Ability to work effectively both independently and within multidisciplinary teams.

We regret to inform that only shortlisted candidates will be notified.

Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a leading college that is known for its excellent curriculum, outstanding and impactful research, and world-renowned faculty.

A hot bed of cutting-edge technology and groundbreaking research, the College aims to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an exciting place to learn and grow. We welcome you to join our community of faculty, students and alumni who are shaping the future of AI, Data Science and Computing.

Key Responsibilities:

• Original Research & Experimentation: Designing, adapting, and executing scientific studies, mathematical models, or laboratory experiments.

• Project Management & Grants: Overseeing specific research projects, managing budgets, and assisting Principal Investigators (PIs) in writing competitive grant proposals.

• Scholarly Output: Publishing research in peer-reviewed journals, presenting at international conferences, and developing patent disclosures.

• Mentorship: Assisting the PI in supervising junior researchers, postgraduates, and undergraduate students.

• Collaboration: Partnering with industry stakeholders, government agencies, and other academic institutions to translate research into viable solutions.

Job Requirements:

• Preferably PhD in Computer Engineering, Computer Science, Electronics Engineering or equivalent.

• Independent, highly analytical, proactive and a team player

• Excellent teamwork and verbal, written communication skills

• In-depth knowledge relevant to the project domain.

• Demonstrated capability to conduct innovative research.

• The ability and willingness to adapt and incorporate novel ideas and approaches in scientific industry.

• Demonstrated ability to formulate hypothesis and design effective experimental plans.

• Ability to design and implement new experimental methods.

• High-level expertise in the required experiment or modelling methods.

• Ability to initiate collaboration research in multidisciplinary team.

• Oversee and report project progress.

• Ability and willingness to work some flexible hours.

We regret that only shortlisted candidates will be notified.

The Cognitive and Brain Health Laboratory is a lab housed in Psychology, School of Social Sciences, Nanyang Technological University, Singapore. Our research makes use of multimodal neuroimaging to broadly study cognitive and brain health. For more details, please check out our webpage at https://cogbrainhealthlab.github.io/

We are seeking a Research Assistant to join a newly funded neuroimaging research project that aims to reverse brain ageing.

Key Responsibilities:

• Assist in recruitment of participants

• Administer neurocognitive tests and questionnaires to participants

• Assist with the preparation of manuscripts for publications

• Handle project related documentation and associated administrative tasks

• Perform other tasks as required by the Principal Investigator

Job Requirements:

• Good Honours Degree in Psychology from a recognised institution.

• Strong interpersonal, written and verbal communication skills

• Excellent organizational skills and able to work within given deadlines

• Candidates must be willing to commit for at least 1 year

Preferred requirements:

• Prior experience with neurocognitive assessments

• Prior experience working with the elderly in Singapore

• Proficiency in Mandarin (working mainly with Mandarin speakers) - essential for data analysis and communication with stakeholders

We regret that only shortlisted candidates will be notified.

The School of Mechanical & Aerospace Engineering (MAE) is a robust, dynamic and multi-disciplinary international research community comprising of world-class scientists and bright students. MAE prides itself in its excellent research capabilities in areas including advanced manufacturing, aerospace, biomedical, energy, industrial engineering, maritime engineering, robotics, etc. The school is equipped with state-of-the-art research infrastructure, housing a comprehensive range of cluster laboratories, test bedding facilities, research centres/institutes and corporate laboratories. Cutting-edge research in MAE addresses the immediate needs of our industries and supports the nation’s long-term development strategies. In the new era of industrial 4.0 and sustainable living, MAE is rigorous in developing new competencies to support the growth and competitiveness of our engineering sector in the global landscape. MAE has grown to be leader in Engineering Research, ranking amongst the top engineering schools in the world.

For more details, please view https://www.ntu.edu.sg/mae/research.

Perform research on Industrial AI, develop novel AI methods, prepare Project and Project requirements. Represent Research and support positive outcomes for the project and research group.

Key Responsibilities:

• Project performance

• AI method development

• Gathering of domain knowledge and formalization

• Writing of research documentation/ideas/publication

• Mentoring of students/other researchers (potentially)

• Long-term research agenda development and implementation

Requirements:

• Education qualifications: PhD in Manufacturing and/or Mechanical Engineering/AI 

• Soft skills: Presentation, Research Lead

• Hard skills: Experience with Python/AI programming, Research approach development etc.

• Experience: Experience and domain knowledge in the regarded Industrial AI domains.

• Competencies: Conducting Research, Academic Writing, AI and/or Manufacturing project scoping and performance and implementation as well as supervision

We regret to inform that only shortlisted candidates will be notified.

The College of Science seeks a diverse and inclusive workforce and is committed to equality of opportunity. We welcome applications from all and recruit on the basis of merit, regardless of age, race, gender, religion, marital status and family responsibilities, or disability.

Key Responsibilities: 

The candidate will study theoretically forward and inverse uncertainty quantification problems for partial differential equations, and multiscale partial differential equations. The candidate will develop efficient numerical methods for solving the problems, and implement the numerical algorithms to verify the theoretical results. 

Job Requirements:

• Applicants should possess a PhD degree or have satisfied all the requirements for a PhD degree in Mathematics.

• Applicants should have deep knowledge in numerical analysis of partial differential equations, and should be competent at implementing complicated numerical algorithms.

Actual appointment grade will depend on candidate’s qualifications and experience.

We regret to inform that only shortlisted candidates will be notified.

Overview

The National Institute of Education (NIE) is among the world’s top education institutes, recognised for its excellence in teacher education and educational research.  NIE has played a key and pivotal role in shaping and developing Singapore’s teaching profession and landscape through evidence-informed, practice-focused and values-based programmes and initiatives.

An autonomous institute situated within the research-intensive Nanyang Technological University, NIE is consistently ranked within the top 10 in the world for research impact in the field of Education.

The Science of Learning in Education Centre (SoLEC) is a dynamic young research center with the ambition to become an international leader in Science of Learning in Education. Hosted at the National Institute of Education (NIE), SoLEC advances cutting- edge research by integrating insights from neuroscience, cognitive science, psychology, physiology, education, technology and AI in Education.

We are seeking outstanding candidates whose expertise lies at the intersection of these fields, with a proven track record in multi-disciplinary research.

Candidates with appropriate qualifications and relevant research experience are encouraged to apply. We invite applications for the position of Education Research Scientist to join SoLEC.

Requirements

• PhD in relevant discipline (e.g. Neuroscience, Educational Psychology, Cognitive Science, Learning Sciences, Educational Technology or a closely related field);

• Minimum 2 years of post-PhD experience;

• Ability to lead and collaborate within research teams;

• Strong track record in the following areas:
  - Publishing in high quality, peer-reviewed journals
  - Securing competitive, peer-reviewed research funding
  - Conducting independent, innovative research;

• Excellent interpersonal and communication skills (spoken and written English).

Responsibilities

The successful candidate will be expected to:

• Design and implement SoLEC’s research programmes in collaboration with colleagues;

• Lead the development of research projects and secure external funding opportunities;

• Publish internationally in peer-reviewed journals and disseminate impactful findings;

• Translate research into practice and policy impact within education systems;

• Manage administrative and programme‑related tasks to ensure smooth operations;

• Contribute to strategic research initiatives of SoLEC, OfR, and NIE;

• Participate actively in the wider research and service community of NIE.

Application

Interested applicants should complete and submit the following documents:

• Cover letter addressing how you meet each of the requirements of this position;

• Curriculum vitae (including qualification, publications, records of competitive grants and graduate supervision, if applicable);

• Research statement indicating your research areas and accomplishments, highlight best research papers with Tier 1 publications, and research plans;

• Any other documents that demonstrate your qualifications.

Closing Date

The closing date for applications is 20 July 2026.

Other Information

More information on SoLEC can be found at https://www.ntu.edu.sg/nie/science-of-learning-in-education-centre.

Note to applicants:

We regret that only shortlisted candidates will be notified via email.

The School of Mechanical & Aerospace Engineering (MAE) is a robust, dynamic and multi-disciplinary international research community comprising of world-class scientists and bright students. MAE prides itself in its excellent research capabilities in areas including advanced manufacturing, aerospace, biomedical, energy, industrial engineering, maritime engineering, robotics, etc. The school is equipped with state-of-the-art research infrastructure, housing a comprehensive range of cluster laboratories, test bedding facilities, research centres/institutes and corporate laboratories. Cutting-edge research in MAE addresses the immediate needs of our industries and supports the nation’s long-term development strategies. In the new era of industrial 4.0 and sustainable living, MAE is rigorous in developing new competencies to support the growth and competitiveness of our engineering sector in the global landscape. MAE has grown to be leader in Engineering Research, ranking amongst the top engineering schools in the world.

For more details, please view https://www.ntu.edu.sg/mae/research.

The School of Mechanical and Aerospace Engineering (MAE) is seeking to hire a Research Fellow

• To design and advance the research activities of the centre in bioimaging projects.

• Perform research in experimental optics, bioimaging, spectroscopy, metrology and develop novel approaches for optical and nonlinear optical experiments and instrumentation. The position offers the opportunity to do research work in collaboration with external partners.

Key Responsibilities:

The RF will support focused research activities at COLE. He/ She will assist the Principal Investigators (PIs) in the successful execution of the projects and will also be encouraged to introduce new ideas and projects. The roles of this position include:

• Design and conduct bioimaging experiments using optical, fluorescence, confocal, multiphoton, photoacoustic, or other advanced microscopy and imaging modalities

• Prepare and handle biological samples, including cells, tissues, organoids, or in vivo models, in accordance with biosafety and ethical protocols.

• Conduct and coordinate research within NTU and collaborators in line with its research strategy and under the supervision of the PIs and Collaborators.

• Manage the research project in a team-based, cross-functional research environment, which includes mentoring students and working collaborators, technical and other support staff.

• Publish research outcomes in journals of international standing; Attend and present research findings and papers at academic meetings and contribute to the external visibility of the Centre.

• Draft research reports for PIs and undertake specific roles and management functions as may be reasonably required by the PIs.

• Assist in drafting project proposals.

• Attend meetings and participate (where necessary) in other committees and working groups.

• Ensure compliance with health and safety in all aspects of the research work.

• The research staff is expected to work with the PI and other team members for doing R&D and take key role for the development of the systems for bioimaging and metrology

• Conduct and coordinate research within NTU and collaborating partners in line with its research strategy under the supervision of the PIs and collaborators

• Publish research outcomes in journals of international standing; Attend and present research findings and papers at academic meetings and contribute to the external visibility of the centre.

• Draft research reports for PIs and undertake specific roles and management functions as may be reasonably required by the PIs.

Requirements:

• PhD in Optical Engineering, Mechanical Engineering, Precision Engineering, Electronics Engineering, Physics or a similar discipline with optics, bioimaging, spectroscopy and instrumentation background

• Previous experience in optics, bioimaging, optical measurement technologies, spectroscopy, Raman spectroscopy and metrology are desirable

• Strong background in biological imaging principles and optical instrumentation

• Hands‑on experience with one or more bioimaging techniques (e.g. fluorescence microscopy, confocal microscopy, live‑cell imaging, photoacoustics)

• Expertise in handling and maintenance of high-power CW and pulsed laser systems, spectrometers, high-resolution cameras, and delicate optical components are desirable

• Expertise in advanced data analysis techniques (Machine learning and Deep learning) would be an added advantage

• Possess good programming, optical instrumentation, automation and data processing skills (e.g. C++, LabVIEW, Zemax, OSLO, TracePro, MATLAB, Python, ImageJ)

• Proven publication track record would be an advantage

We regret to inform that only shortlisted candidates will be notified.

The School of Mechanical & Aerospace Engineering (MAE) is a robust, dynamic and multi-disciplinary international research community comprising of world-class scientists and bright students. MAE prides itself in its excellent research capabilities in areas including advanced manufacturing, aerospace, biomedical, energy, industrial engineering, maritime engineering, robotics, etc. The school is equipped with state-of-the-art research infrastructure, housing a comprehensive range of cluster laboratories, test bedding facilities, research centres/institutes and corporate laboratories. Cutting-edge research in MAE addresses the immediate needs of our industries and supports the nation’s long-term development strategies. In the new era of industrial 4.0 and sustainable living, MAE is rigorous in developing new competencies to support the growth and competitiveness of our engineering sector in the global landscape. MAE has grown to be leader in Engineering Research, ranking amongst the top engineering schools in the world.

For more details, please view https://www.ntu.edu.sg/mae/research.

Key Job purpose is to support a research project titled: Ultrasonic Diagnosis for cell SOH grading.

Key Responsibilities:

• Design and carry out ultrasonic experiments and develop signal processing techniques

• Simulate ultrasonic wave propagation in complex materials

• Draft and submit technical progress reports at regular intervals

Job Requirements:

• Master degree in Mechanical/Electrical/Civil/Computer Engineering or equivalent

• Good knowledge of ultrasonic NDT/SHM

• Good numerical simulation skills

• Good programming skills (Matlab, C++ or Python)

• Excellent communication and written skills

We regret to inform that only shortlisted candidates will be notified.

The Division of Information Technology and Operations Management at Nanyang Business School is inviting applications for a Research Assistant or Associate (RA) position. The role is expected to begin in June 2026 or thereafter.

Job Responsibilities:

• The RA is expected to plan, organize and implement research projects, in collaboration with the principal investigators. The successful candidate will work closely with professionals in the field of AI, technology and medicine.

• Conduct literature reviews, coordinate schedules for data collection with survey and interview participants

• Assist in data collection, data transcription and analysis

• Contribute to the dissemination of research findings

Job requirements:

• Minimally a bachelor’s degree in a related field

• Excellent oral and written communication skills is required

• Able to work independently and meet deadlines

• Experience with qualitative methods and data analysis

We regret to inform that only shortlisted candidates will be notified.

The Earth Observatory of Singapore (EOS) is a University Research Institute at Nanyang Technological University Singapore that conducts fundamental research on earthquakes, volcanic eruptions, tsunamis, and climate change in and around Southeast Asia, towards safer and more sustainable societies. For more details, please view https://earthobservatory.sg/

We are looking for an ambitious and highly motivated Research Assistant to work under the supervision of a Project Manager. The role will focus to support the communication and translation of various research outcomes to various stakeholder groups, including but not limited to the public, government agencies, and NGOs through clear, engaging and evidence-based content and outreach activities. As ASE and EOS together form an interdisciplinary research and education ecosystem, the incumbent may also be required to support with content development and communications activities related to Asian School of the Environment (ASE). The Asian School of the Environment (ASE) at Nanyang Technological University is an interdisciplinary school that aims to be a world leader in environmental research focused on Asian environmental challenges.

Key Responsibilities:

• Generate social media and digital content on topics related to geohazards, environment, and the funded research projects.

• Research and evaluate effective science communication strategies, including the potential role of Generative AI in facilitating science communication of research topics to diverse audiences.

• Support the research group in science communication and outreach activities.

• Assist with stakeholder engagement activities related to earthquake hazards, disaster response, and sea-level rise.

Job Requirements:

• Bachelor’s degree in Communications or a related discipline.

• Background in art, design or digital media, with familiarity or interest in environmental science.

• Strong design and copywriting skills, with a deep understanding of digital culture and social media trends and the ability to create engaging content for student and young adult audiences.

• Ability to work methodically and collaboratively, with strong problem-solving skills and the ability to meet deadlines.

• Proactive and detail-oriented, with a growth mindset and eagerness to learn.

• Proficiency in Adobe Photoshop, Canva, CapCut, DaVinci Resolve, and other relevant video editing tools.

• Proficiency in photography, photo editing, and videography using mirrorless and DSLR cameras.

• Existing networks or connection with nature, climate action, or environmental communities in Singapore and/or Southeast Asia.

We seek a diverse and inclusive workforce and is committed to equality of opportunity. We welcome applications from all and recruit on the basis of merit, regardless of age, race, gender, religion, marital status and family responsibilities, or disability.

We regret to inform that only shortlisted candidates will be notified.

A Senior Research Fellow position as an expert in structural biology is available at the School of Biological Sciences, Nanyang Technological University (NTU). The candidate should have technical experience and knowledge in the areas of mycobacterial enzymes, setting up of cryo-EM and cryo-ET experiments, their data analysis and structure determination. The candidate will provide leadership, communication skills and mentoring to students working in the team.

For more details, please view https://www.ntu.edu.sg/sbs.

We are seeking a highly experienced senior scientist with expertise in structural biology, particularly in protein chemistry and cryo-EM. The successful candidate will play a key role in driving research on mycobacterial enzymes and multi-subunit membrane-embedded complexes, contributing both technical expertise and leadership to the team.

Key Responsibilities:

• Lead and conduct research on the 3D structure determination of mycobacterial enzymes and large protein complexes.

• Set up and perform cryo-EM and cryo-ET experiments, including data collection, processing, and structural analysis.

• Provide mentorship to students and junior researchers in the lab.

• Communicate research findings effectively and contribute to collaborative projects.

Job Requirements:

• PhD in structural biology, biochemistry, or a related field with at least of years of relevant experience.

• Extensive technical experience in protein chemistry, protein engineering, and 3D structure determination of large/multi-subunit membrane enzyme complexes.

• Proven expertise in cryo-EM experiment design, execution, and data interpretation.

• Strong communication and leadership skills, with a track record of mentoring students or junior scientists.

The College of Science seeks a diverse and inclusive workforce and is committed to equality of opportunity. We welcome applications from all and recruit on the basis of merit, regardless of age, race, gender, religion, marital status and family responsibilities, or disability.

We regret that only shortlisted candidates will be notified.

The School of Civil and Environmental Engineering (CEE) is a leading school for Sustainable Built Environment. The key objective is to support efforts to excellence in providing advanced education, spearheading groundbreaking research, and delivering unparalleled professional services.

We are seeking a highly self-motivated individual to join the School of Civil and Environmental Engineering (CEE) as a Research Associate. The successful candidate will be responsible for leading and managing research projects, with duties including (but not limited to) project administration, progress monitoring, and reporting.

Key Responsibilities:

• Lead research teams and projects to achieve defined objectives and deliver impactful outcomes.

• Conceive and develop novel research ideas to push the frontiers of biotechnology and bioprocesses.

• Oversee and monitor project progress, ensuring milestones and deliverables are met on time.

• Engage, manage, and liaise with stakeholders, including funding agencies, industry partners, and academic collaborators.

• Supervise and mentor graduate students, while contributing to grant proposal preparation and research publications.

Job Requirements:

• The individual is expected to possess at least a Master’s in Environmental Engineering, Chemical Engineering or a related field.

• Prior experience in biotechnology or bioprocesses related work is highly favorable.

• Good written and oral communication skills.

We regret to inform that only shortlisted candidates will be notified.

Job Duties

• Under broad direction, leads the selection and development of composites, elastomers, plastics, lubricants, and other non-metallic material systems across multiple complex projects, applying advanced materials engineering principles.
• Drives end-to-end materials development, including formulation, processing, qualification, and field deployment.
• Serves as a subject matter expert in non-metallic materials and processes for molded, formed, and formulated products.
• Leads investigation and deployment of alternative materials and processes to improve performance, reliability, and cost.
• Integrates data-driven and AI-enabled approaches into materials design, optimization, and scale-up workflows.
• Provides technical leadership on strategic material sourcing and supplier engagement.
• Advises on resolution of complex field and manufacturing issues, with direct impact on product performance and service quality.
• Embeds reliability, HSE, quality, and project management rigour across all activities.
• Contributes directly to value creation through technology differentiation and performance improvement.

Requirements

• Undergraduate degree in Materials Science, Chemistry, Chemical Engineering, or related discipline with ~10–15 years of relevant experience.
• Advanced degree (MS/PhD) preferred.
• Demonstrated depth in non-metallic materials systems (polymers, elastomers, composites) and their processing.
• Experience applying data science and/or AI/ML methods to accelerate materials development or optimize performance is highly desirable.
• Track record of leading complex technical programs and influencing cross-functional stakeholders.

Key priorities/expectations

• Deliver differentiated non-metallic material systems for demanding applications.
• Accelerate development cycles through integration of modelling, data, and AI tools.
• Provide technical leadership across projects and mentor junior engineers/scientists.
• Anchor reliability and field performance in all material selections and designs.

Key skills & competencies

• Non-metallic materials systems (polymers, elastomers, composites)
• Materials development & qualification (formulation → field deployment)
• Data-driven / AI-enabled materials design and optimization

Key Responsibilities

• Develop data-driven energy disaggregation models to estimate machine-, process-, and batch-level energy consumption from aggregated or limited metering data.
• Design and implement energy monitoring, analytics and benchmarking algorithms for energy performance tracking, anomaly detection, and causal analytics related to energy-saving of industrial equipment and manufacturing processes.
• Conduct experiments, model validation, and performance evaluation using industrial datasets.
• Work closely with project partners, engineers, and researchers to translate research outcomes into deployable industrial solutions.

Requirements

• Bachelor’s or Master’s degree in Electrical Engineering, Mechanical Engineering, Computer Science, Data Science, Industrial Engineering, or a related field.
• Strong programming skills in Python, with experience in data analytics, machine learning, and time-series processing.
• Knowledge of energy systems, power consumption analysis, industrial equipment, or manufacturing processes.
• Experience with machine learning techniques for regression, classification, anomaly detection, forecasting, or signal disaggregation.
• Ability to process and analyze large-scale time-series datasets.
• Good problem-solving skills and ability to work independently in applied research and development projects.
• Good written and verbal communication skills.

Preferred Qualifications

• Experience in non-intrusive load monitoring, energy disaggregation, virtual sensing, or industrial energy analytics.
• Experience with deep learning frameworks such as PyTorch or TensorFlow.
• Experience with causal analytics.
• Knowledge of manufacturing systems, additive manufacturing, CNC, heat treatment, pumps, compressors, motors, or other industrial equipment.
• Prior experience in applied R&D projects with industry partners is an advantage.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

School of Electrical and Electronic Engineering is one of the founding Schools of the Nanyang Technological University. Built on a culture of excellence, the School is renowned for its high academic standards and research. With over 3,000 undergraduates students and 2,000 graduate students it is one of the largest EEE schools in the world and ranks 4th in the field of Electrical & Electronic Engineering in the 2025 QS World University Rankings by Subjects.

Today, the School has become one of the world’s largest engineering schools that nurtures competent engineers and researchers. Each year, the School graduates over a thousand students who are ready to take on great ambitions and challenges.

For more details, please view: https://www.ntu.edu.sg/eee

We are looking for a Research Fellow to work on Multimodal Intelligence. The role involves developing and advancing novel algorithms for emerging challenges in Multimodal Intelligence, including Multimodal understanding and generation. The candidate is also expected to mentor students, lead research projects, and contribute to grant proposal development.

Key Responsibilities:

• Conduct cutting-edge research and publish in leading conferences and journals

• Mentor and supervise students in research projects

• Contribute to the development of grant proposals

• Provide general support for lab activities

Job Requirements:

• PhD degree in Electrical Engineering, Computer Science, or related field

• Knowledge and experience in computer vision, machine learning, and deep learning

• Good written and oral communication skills

• Experience in leading research projects

• Proficiency in basics of programming languages such as Python

• Demonstrates initiative and a strong drive to achieve objectives.

We regret to inform you that only shortlisted candidates will be notified.

School of Electrical and Electronic Engineering is one of the founding Schools of the Nanyang Technological University. Built on a culture of excellence, the School is renowned for its high academic standards and research. With over 3,000 undergraduates students and 2,000 graduate students it is one of the largest EEE schools in the world and ranks 4th in the field of Electrical & Electronic Engineering in the 2025 QS World University Rankings by Subjects.

Today, the School has become one of the world’s largest engineering schools that nurtures competent engineers and researchers. Each year, the School graduates over a thousand students who are ready to take on great ambitions and challenges.

For more details, please view: https://www.ntu.edu.sg/eee

We are looking for a Research Assistant to work on world model. The role will focus on developing, designing, and implementing novel algorithms and models to address emerging problems in world model, Multimodal Large Language Models and Video Diffusion Models.

Key Responsibilities:

The research assistant will focus on the following tasks

• Data collection and processing

• Conducting experiments and analyzing results

• Providing general support for the lab

Job Requirements:

• Bachelor’s degree in Electrical Engineering, Computer Science, or related field

• Knowledge and experience in world model, computer vision and deep learning

• Good written and oral communication skills

• Proficiency in basics of programming languages such as Python

• Demonstrates initiative and a strong drive to achieve objectives.

We regret to inform you that only shortlisted candidates will be notified.

Energy Research Institute @ NTU (ERI@N), established in 2010, has exceled in developing and delivering research relevant to industries. The institute integrates research across different schools within NTU to address energy challenge and subsequent translate into industrial scale and practices.

SCARCE (Singapore CEA Alliance for Research in Circular Economy) - a joint collaboration between NTU (Singapore) and CEA (France) – under ERI@N focus on recycling of electronic waste. One of the research thrusts is recycling of silicon solar panels and recovery of embedded materials – focusing in developing effective and efficient recycling pathway for the growing silicon solar panel waste

Energy Research Institute @NTU invites applications for the position of Project Officer to work on recycling of silicon solar panels. The role will focus on the hydrometallurgical processing of metals and silicon, including their dissolution and recovery, as well as supporting process scale-up activities

Key Responsibilities:

• Conduct comprehensive literature reviews and provide periodic updates on developments of hydrometallurgical approaches for recycling solar panel waste

• Perform and optimize hydrometallurgical processing of solar grey mass at both laboratory-scale and large-scale, along with electrorecovery of valuable materials

• Analyse metallic concentrations in leachate solution and conduct material characterisation on residues or solar grey mass (e.g. ICP-OES, SEM/EDX, particle size analyzer)

• Participate in collaborative work with team members and external collaborators, including preparation of technical reports, videos, manuals and presentation of results

• Assist with laboratory logistics, administrative tasks, and coordination of project-related activities to ensure smooth operations

Job Requirements:

• Bachelor in chemistry/chemical engineering/material science or related fields is required.

• Familiarity with material characterization techniques such as SEM-EDX, XRD, ICP-OES would be advantageous.

• Hands-on experience in electrochemical analysis techniques would be advantageous.

• Entry level candidates are welcome to apply

• Willingness to learn, with adaptability and flexibility to take on tasks beyond the job description

• Strong communication and interpersonal skills and ability to work cohesively in a team whilst sharing resources

We regret to inform that only shortlisted candidates will be notified.

The School of Physical and Mathematical Sciences is a center for a broad spectrum of mathematics, pure and applied. 

There is an opening for a research fellow in the group of Dr. Milind Hegde. The research will broadly be in the area of stochastic growth models and the Kardar-Parisi-Zhang universality class, though related areas of probability may also be of interest.

The position is for a maximum of 3 years. It does not come with any teaching obligations, though there may be opportunities for those interested in some light teaching for the purpose of career development. There will be adequate funds available for academic travel.

Key Responsibilities:

• Perform research into KPZ

• Potentially aid in organization of research events focused on probability theory and KPZ 
  

Job Requirements:

• A PhD with a focus in probability theory or a closely related area.

• Strong research record

• Preferred but not required: Research experience in KPZ, interacting particle systems, integrable probability, first or last passage percolation, polymer models, or random matrix theory
  

We regret to inform that only shortlisted candidates will be notified.

The School of Mechanical & Aerospace Engineering (MAE) is a robust, dynamic and multi-disciplinary international research community comprising of world-class scientists and bright students. MAE prides itself in its excellent research capabilities in areas including advanced manufacturing, aerospace, biomedical, energy, industrial engineering, maritime engineering, robotics, etc. The school is equipped with state-of-the-art research infrastructure, housing a comprehensive range of cluster laboratories, test bedding facilities, research centres/institutes and corporate laboratories. Cutting-edge research in MAE addresses the immediate needs of our industries and supports the nation’s long-term development strategies. In the new era of industrial 4.0 and sustainable living, MAE is rigorous in developing new competencies to support the growth and competitiveness of our engineering sector in the global landscape. MAE has grown to be leader in Engineering Research, ranking amongst the top engineering schools in the world.

For more details, please view https://www.ntu.edu.sg/mae/research.

The School of Mechanical and Aerospace Engineering (MAE) is seeking to hire a Research Fellow

• To design and advance the Centre’s research activities in biomedical optics–related projects.

• To conduct research in experimental optics for diagnostics and spectroscopy by developing novel approaches for bioimaging experiments and instrumentation. The position also offers opportunities to collaborate with external partners.

Key Responsibilities:

The RF will support focused research activities at COLE. He/ She will assist the Principal Investigators (PIs) in the successful execution of the projects and will also be encouraged to introduce new ideas and projects. The roles of this position include:

• Design and conduct experiments for diagnostic and spectroscopic analysis of biological samples.

• Prepare and handle biological samples, including cells, tissues, organoids, or in vivo models, in accordance with biosafety and ethical protocols.

• Manage the research project in a team-based, cross-functional research environment, which includes mentoring students and working collaborators, technical and other support staff.

• Publish research outcomes in journals of international standing; Attend and present research findings and papers at academic meetings and contribute to the external visibility of the Centre.

• Draft research reports for PIs and undertake specific roles and management functions as may be reasonably required by the PIs.

• Assist in drafting project proposals.

• Attend meetings and participate (where necessary) in other committees and working groups.

• Ensure compliance with health and safety in all aspects of the research work.

• The research staff is expected to work with the PI and other team members for doing R&D and take key role for the development of the systems for bioimaging and metrology

• Conduct and coordinate research within NTU and collaborating partners in line with its research strategy under the supervision of the PIs and collaborators

• Publish research outcomes in journals of international standing; Attend and present research findings and papers at academic meetings, and contribute to the external visibility of the centre.

• Draft research reports for PIs and undertake specific roles and management functions as may be reasonably required by the PIs.

Requirements:

• PhD in Optical Engineering, Mechanical Engineering, Precision Engineering, Electronics Engineering, Physics or a similar discipline with optics, spectroscopy and instrumentation background

• Previous Hands‑on experience with optical diagnostics, spectroscopy, or imaging techniques is highly desirable.

• Expertise in the handling of human biological samples and translational biomedical research.

• Possess good programming and automation skills (e.g. C++, MATLAB, Python, LabVIEW)

• Proven publication track record would be an advantage

• Expertise in optical instrumentation would be an advantage (e.g. Zemax, TracePro, Virtual Lab, OSLO, MATLAB, Python, ImageJ)

• Strong written and spoken communication skills

• Proven publication track record would be an advantage

We regret to inform that only shortlisted candidates will be notified.

School of Electrical and Electronic Engineering is one of the founding Schools of the Nanyang Technological University. Built on a culture of excellence, the School is renowned for its high academic standards and research. With over 3,000 undergraduates students and 2,000 graduate students it is one of the largest EEE schools in the world and ranks 4th in the field of Electrical & Electronic Engineering in the 2025 QS World University Rankings by Subjects.

Today, the School has become one of the world’s largest engineering schools that nurtures competent engineers and researchers. Each year, the School graduates over a thousand students who are ready to take on great ambitions and challenges.

For more details, please view: https://www.ntu.edu.sg/eee

We are looking for a Research Associate to work on Embodied AI Safety. The role will focus on designing, developing, and implementing novel algorithms and models to address emerging challenges in Embodied AI Safety, including attack and defense mechanisms.

Key Responsibilities:

The research associate will focus on the following tasks

• Data collection and processing

• Conducting experiments and analyzing results

• Assisting with robot operation, debugging, and system integration

• Providing general support for the lab

Job Requirements:

• Master’s degree in Electrical Engineering, Computer Science, or related field

• Knowledge and experience in AI safety, computer vision and deep learning

• Good written and oral communication skills

• Proficiency in basics of programming languages such as Python

• Demonstrates initiative and a strong drive to achieve objectives.

We regret to inform you that only shortlisted candidates will be notified.