686 Research Laboratories jobs in Singapore

We are seeking a highly skilled Research Fellow to join our team.

The successful candidate will be responsible for conducting research in the field of molecular biology, cancer biology and related fields.

Key responsibilities include designing and interpreting experiments, working independently with minimum supervision and possessing excellent English communication skills.

Applicants should have a PhD degree in a relevant field and excellent organization skills with the ability to multi-task.

The ideal candidate will have:

• Expertise in bioinformatics, computational biology, computer science or related fields
• Strong research skills and experience in laboratory settings
• Ability to work effectively in a fast-paced environment
• Excellent writing skills and ability to publish research findings

The Asian School of the Environment (ASE) at Nanyang Technological University Singapore (NTU) is an interdisciplinary school that will be a world leader in environmental research focused on Asian environmental challenges. The ASE integrates Earth and environmental sciences to build an understanding of our planet and environment and to address key issues of environmental sustainability and its impact on society. For more details, please view

The Research Associate will have knowledge of ecosystem services assessment, ecological engineering, social sciences, carbon policy, environmental science, and/or similar coastal environmental issues at the policy-academic interface. They will work closely with the research team for the 'Ecosystem services provided by current and future coastal defences, including recreation and education'.

Key Responsibilities:

The Research Associate will collaborate closely with the project team primarily assessing ecosystem services and supporting Principal Investigators (PIs) in meeting the objectives outlined in the project work plan. The researcher will be responsible for assisting with identification and analysis if ecosystem services, social science data collection, collation and analysis of current ecosystem services and artificial coastline data and assisting with data management. The successful applicant will assist in all aspects of the work package. This will additionally include conducting literature reviews of relevant articles and information, managing and analyzing ecological and socioeconomic datasets related to coastal ecosystem services in Singapore, and conducting field work to collect new data.

Job Requirements:

• A minimum of Master's degree in Environmental Science, Geography, Social Sciences or a closely related field.
• Good understanding and working knowledge of spatial analysis tools such as ArcGIS, QGIS etc.
• Excellent oral and written communication skills
• Highly organized and proactive
• Ability to work independently and meet deadlines
• Positive working attitude, both in a team and independently
• As the position requires stakeholder engagement in English, candidate must be fluent in English
• Familiar with data analysis software (e.g., R, Matlab, SPSS, Primer or Python)
• Experience with data analysis techniques (e.g., ANOVA, PCA, Regression, MDNS)
• Experience with ecosystem service identification and analysis
• Excellent data management and analysis skills

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

Interested applicants should submit a CV and a statement of interests. Applicants will be asked to appear for interview (including online). For further information on the project please contact Dr Natasha Bhatia via clicking "QUICK APPLY". Evaluation of application starts immediately until the position is filled.

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:

We are looking for a Research Associate to support the backend and frontend software development.

Key Responsibilities:

• Design, implement, and optimize firmware for embedded devices & integrate, configure localization hardware module
• Develop middleware and APIs for communication between embedded devices and backend servers.
• Develop dashboard application, server-side implementation and project deployment in servers.
• Document research outcome to publish at international conference / journal.
• Write report for the project progress.
• Work with research fellow for the system development.

Job Requirements:

• Master's degree in Electrical and Electronic Engineering, Computer Engineering / Science, or IT field
• Prior experience in embedded systems, IoT, or localization projects is highly desirable
• Strong proficiency in C/C++ for embedded firmware development and full stack development.
• Experience with Linux-based development environments and cross-compilation.
• Excellent interpersonal communication and presentation skills
• Knowing mobile apps development is 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:

Key Responsibilities:

• Assist in computationally solving electrodynamics problems involving electron-photon and electron-matter interactions in the extreme ultraviolet (EUV) regime
• Assist in developing new, efficient software for modeling unprecedented electromagnetic phenomena, using languages such as C++ and Python
• Collaborate with senior researchers to formulate new theories pertaining to EUV generation, obtained ab initio from Maxwell's equations and quantum electrodynamics/quantum field theory
• Lead papers and publish in high-impact journals
• Present at top-tier international conferences
• Assist PI in writing grants and provide logistical support pertaining to laboratory operation for the project.

Job Requirements:

• Master's degree in physics, mathematics, engineering or related field
• Strong background in electrodynamics simulations techniques
• Strong background in C++, Python or similar languages
• Strong background in theoretical physics and mathematical physics
• Good written and oral communication skills
• Competent in teamwork and presenting results in informative visuals
• Interpersonal skill: Ability to work under pressure, 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

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

The Cognitive Neuroimaging Centre (CoNiC) is one of the NTU's strategic shared research facilities, serving the NTU research community and other partnering institutions. It focuses on exploring the structure and functions of the

human brain, with particular emphasis on both normal and pathological cognitive processes. Located in the Experimental Medicine Building on NTU's main campus, CoNiC is equipped with state-of-the-art neuroimaging and brain monitoring technologies. These include a Siemens Prisma 3T MRI scanner, a Siemens 0T mock scanner, an Elekta Triux MEG system, as well as EEG, fNIRS, TMS and other neuroimaging modalities.

As a strategic shared research facility, CoNiC places strong emphasis on service quality, operational excellence and scientific integrity. With growing demand and increasing complexity in neuroimaging research, it continues to play a key role in advancing both basic and clinical research.

We are seeking a Research Associate to support the execution of neuroimaging research activities at CoNiC. The successful candidate will assist in conducting neuroimaging experiments, processing data and implementing analysis pipelines under the guidance of the Research Fellow and Centre Director/Assistant Director. This role also includes supporting users with data postprocessing, contributing to protocol implementation and maintaining documentation and records for ongoing studies. The Research Associate will play a valuable role in advancing multidisciplinary research and ensuring the smooth operation of CoNiC's shared facility services. The role is based across both the Experimental Medicine Building (EMB) at NTU's main campus and the Clinical Sciences Building (CSB) at the Novena campus. Flexibility to work at either site, depending on project and operational requirements, is essential.

Key Responsibilities:

• Assist in the design and execution of experiments using MRI and other neuroimaging modalities (MEG, EEG, fNIRS, TMS, tDCS), under the supervision of the Research Fellow and Centre Director/Assistant Director
• Perform MRI postprocessing and support data analysis using neuroimaging software such as S.P.M, CONN, BrainVoyager, EEGlab and NIRSlab
• Apply programming skills in MATLAB, Python, PsychoPy or E-Prime to assist with stimulus presentation and data handling
• Conduct statistical analysis using tools such as SPSS, R or Python
• Support the development and refinement of analysis pipelines and contribute to harmonising protocols across studies
• Assist in the preparation, submission and maintenance of ethics documents for Institutional Review Board approval
• Support participant recruitment, coordination and scheduling in accordance with study protocols
• Assist in training staff and students in standard procedures for neuroimaging data collection and analysis
• Maintain accurate records of experimental procedures, datasets and analysis workflows
• Publish research findings in high-impact peer-reviewed journals
• Contribute to CoNiC's mission by supporting methodological improvements and facilitating collaborative research activities
• Working hand-in-hand with the Assistant Director, support day-to-day operations of the centre including software and system updates relevant to imaging workflows
• Undertake any other duties assigned by the Research Fellow, Centre Director or Assistant Director

Job Requirements:

• Master's degree in Cognitive Neuroscience, Biomedical Engineering, Computer Science, Life Sciences, Psychology or a related field
• Hands-on experience in neuroimaging research is preferred, particularly in MRI data postprocessing and analysis
• Familiarity with other modalities such as MEG, EEG, TMS and fNIRS is an added advantage
• Proficiency in programming tools such as MATLAB and Python is essential
• Experience using neuroimaging software such as S.P.M, CONN, BrainVoyager, EEGlab or NIRSlab
• Working knowledge of experiment design and stimulus presentation software such as PsychoPy or E-Prime
• Ability to perform basic statistical analyses using tools such as SPSS, R or Python
• Good organisational skills and attention to detail in managing datasets and documenting analysis workflows
• Strong interpersonal and communication skills, able to collaborate with team members and support users
• Willingness to learn new imaging techniques, software tools and protocols
• Ability to follow standard operating procedures and work effectively under the supervision of the Research Fellow and Centre Director or Assistant Director
• Willingness to work across both NTU's main campus (EMB) and the Novena campus (CSB), depending on project requirements
• Entry Level candidates with relevant training and strong technical skills are welcome to apply

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. Today, we are ranked #2 for AI and Computer Science by US News Best Global Universities; and #8 for Data Science and AI by QS World University Ranking.

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.

The group focuses on the development of deep learning technologies for the advancement in medicine and healthcare.

Key Responsibilities:

• Develop deep learning models and algorithms for biomedical and healthcare applications.
• Data processing for training of deep learning models.
• Mentor junior research lab members in experiments.
• Collaborate with a multidisciplinary team of researchers, including wet-lab scientists and engineers.
• Stay current with advancements in deep learning and therapeutics innovation, contributing to the evolution of our methodologies.
• Participate in regular meetings and present findings to academic and industry stakeholders.

Job Requirements:

• Preferably Master in Computer Engineering, Computer Science, Engineering, Mathematics, Biology, Chemistry.
• Independent, highly analytical, proactive and a team player
• Excellent teamwork and verbal, written communication skills
• Proficiency in Machine Learning/Deep Learning
• Knowledge of Large Language Models
• Python programming skills

We regret that only shortlisted candidates will be notified.

The Research Associate will perform cutting-edge research on AI-centered cybersecurity, including but not limited to the following domains: Trusted Execution Environments (TEE) based and/or cryptographic enabled confidential AI computing, trustworthy AI such as information leaks of AI models, backdoor threats to AI, etc., and application of AI technologies for security protection such as carrier-network protection, software vulnerability analysis, etc. The candidate will work closely with the research team to advance existing work, propose innovative solutions, and integrate security protection into AI and machine learning frameworks and systems.

Key Responsibilities:

• Perform research on AI-centered cybersecurity techniques.
• Develop innovative methods to enhance security and privacy protection for AI systems or for other computing systems using AI.
• Collaborate with researchers around the world to integrate protection into real-world systems and AI models.
• Analyze and interpret experimental results.
• Prepare and publish high-impact research at top venues (e.g., S&P, USENIX Security, CCS, NDSS etc.)

Job Requirements:

• A Master's degree in Computer Science, AI, Cybersecurity, Mathematics, or a related field with a strong foundation in AI/ML and quantitative methods.
• Outstanding academic record from a leading university.
• Prior work in cybersecurity or trustworthy AI is highly preferred.
• Publications in top-tier security or AI/ML venues are a strong advantage.
• Proficiency in programming and experience with security or AI.
• Strong analytical rigor, problem-solving ability, and teamwork to collaborate with world-class researchers

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. Today, we are ranked #2 for AI and Computer Science by US News Best Global Universities; and #8 for Data Science and AI by QS World University Ranking.

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:

• To independently undertake research in visual perception and recognition.
• To produce research reports and/or publications as required by the funding body or for dissemination to the wider academic community.
• To provide guidance and support to any students associated with the project.
• To attend, contribute, and where necessary lead relevant meetings.
• To undertake any other duties relevant to the programme of research.

Job Requirements:

• A master's degree 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.

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:

We are looking for a Research Associate in IC design to design and realize high speed high efficiency analog/RF ICs.

Key Responsibilities:

• Design, implement and test high speed RF power management circuits and other related digital/analog/mixed signal ICs. Development cycle including circuit design, simulation, modeling, layout, verification and measurements
• Design high power-efficiency RF power amplifiers
• Develop scripts and algorithms for analog IC design
• Prepare report and conduct presentation at seminars

Job Requirements:

• M.Eng/MSc in Electrical Engineering, Computer Science, Statistics, or other related fields. Fresh graduates are welcome to apply
• At least 2 years of relevant experiences in IC design/Electronics
• Familiar with Analog/Power Management/RF/ADC/DAC IC design
• Proficiency in Cadence
• Proficiency in Python and Matlab
• Experience in implementing algorithms for machine learning
• Good written and oral communication skills

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

Hiring Institution: NTU