Total 426 Science / R&D / Research job vacancies in PASIR GUDANG

• Algorithm Development: Support the development of route optimization andmotion planning algorithms (graph search, sampling, or optimization-basedmethods) based on designs provided by the research team.

• Software Development: Writeclean, maintainable, and efficient C++ code to integrate planning modules intothe core autonomy stack.

• Simulation & Validation:Own the end-to-end testing of planning stacks in simulation. You will beresponsible for identifying "corner cases," debugging planningfailures, and ensuring trajectory smoothness.

• Performance Optimization:Assist in profiling and optimizing existing algorithms to ensure they meetreal-time constraints and operate efficiently on embedded hardware.

• Field Testing & Analysis:Participate in real-world vehicle testing. Analyze logs and telemetry data totroubleshoot behavior inconsistencies and improve system reliability.

• Cross-Functional Support:Collaborate with the Perception and Control teams to ensure seamless data flowand coordinate transform accuracy across the stack.

Required experience

• Educational Background: Master’s or Bachelor’s degree in ComputerScience, Robotics, Engineering, or a related field. A strong academicfoundation in path planning or autonomous systems is required.

• Programming Proficiency: Solid proficiency in Modern C++. Familiaritywith Python for scripting and data analysis is a plus.

• Robotics Fundamentals: Good understanding of standard planningalgorithms (e.g., A*, RRT*, Frenet frames, or Lattice planners) and basickinematics.

• Hands-on Tools: Experience with Linux (Ubuntu) and ROS/ROS2 isessential.

• Growth Mindset: A proactive "tinkerer" attitude with theability to learn complex new frameworks quickly and a desire to solve"hard" robotics problems.

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28Relative-smooth-optimization-theory%29/32393-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

In recent decades, we have witnessed significant progresses in the convergence and complexity theory of the first-order optimization methods, with gradient global Lipschitz continuity (GGLC) assumption playing a central role, in many classical results. However, a large class of important problems arising in modern optimization and machine learning do not satisfy this assumption. As a result, there remains a substantial gap between the theory and practical behavior of many widely used algorithms.

This project, led by Dr. Zhang, aims to strengthen the theoretical foundation of relative smooth optimization, an emerging framework developed to go beyond the classical GGLC setting. In particular, the project will study first-order methods under relative smoothness, with a focus on nonconvex problems, more appropriate optimality measures, and new non-Euclidean Lipschitz tools that better capture the underlying problem geometry. The goal is to establish sharper convergence and complexity results, clarify several widely adopted but potentially misleading arguments in the current literature, and develop a more reliable and powerful new analysis framework for the relative smooth problem class.

Job Requirements

Interested applicants are required to possess a PhD in 2026. He/she should have a good understanding in

1.    convergence and complexity analysis for (nonconvex) optimization algorithms 
2.    variational inequalities and duality theory
3.    stochastic process and martingale theory
4.    semi-algebraic and subanalytic geometry
5.    stochastic approximation methods
6.    dynamical systems

The applicant should also be experienced in MATLAB and Python coding. In particular, he/she should have the ability to adapt base codes of PyTorch to implement new algorithms instead of calling built-in functions.

In addition, experience in GPU-based acceleration of large-scale algorithms will be an advantage. Familiarity with implementing or adapting first-order methods on GPU platforms, as well as handling large-scale matrix-vector computations efficiently, is preferred.

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Assistant-%28Medicine%29/32404-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore is inviting applications for a Research Assistant position in the Department of Medicine at the Yong Loo Lin School of Medicine. The selected candidate will join a team of scientists led by Research Assistant Professor Koh Cho Yeow at the Cardiovascular Research Institute (CVRI). CVRI is committed to addressing cardiovascular diseases through laboratory-based research, clinical studies, clinical trials, health services research, as well as prevention and epidemiology research. We also collaborate with international centers on multinational, multi-center basic and clinical trials. Additionally, we engage in outcomes-related research to establish standards for evidence-based best medical practices in Singapore.

Research Assistant Responsibilities: The Research Assistant will be responsible for studying the mechanism of action, pharmacodynamics, and pharmacokinetics of peptides designed in our laboratory for treating cardiovascular diseases. Additional duties include supporting other collaborative projects and managing related animal and laboratory safety tasks under the supervision of the principal investigator and research fellows.

Main Duties and Responsibilities

Main Duties:

• Design, synthesis and purification of bioactive peptides and proteins.
• In vitro and cell-based assays for functional characterizations of peptides and proteins.
• Prepare and execute surgical protocols involving animals (rodents and rabbits).
• Study the molecular mechanisms behind the pharmacological effects of peptides using animal tissues and cells.
• Supervise and mentor undergraduate students as appropriate.
• Collaborate with colleagues on various projects.
• Present scientific work at seminars and conferences, and draft scientific articles.
• Share responsibilities for laboratory housekeeping and maintenance.
• Ensure safety in the laboratory in collaboration with others.
• Perform additional duties as required to ensure the efficient and smooth operation of the group.

Qualifications

• A master's degree or equivalent in a relevant field of study, or soon to be conferred.
• Familiarity and hands-on experience with peptide design, synthesis, and purification.
• Proficient in basic molecular biology techniques and bioinformatics, including transcriptomic and metabolomic analyses.
• Experience in culturing cardiomyocytes, endothelial cells, fibroblasts, and vascular smooth muscle cells is desirable.
• A good team player who is independent, self-driven, and possesses strong interpersonal skills.
• Willingness to explore new frontiers and learn with a positive attitude.
• An intention to pursue PhD study in the near future.
• Strong computer skills for data analysis and organization.

Applications should include a full curriculum vitae and the names and contact information of three referees. We regret that only shortlisted candidates will be notified.

Chugai Pharmabody Research Pte. Ltd.(“CPR”) was established in Singapore as a wholly-owned subsidiary of ChugaiPharmaceutical Co., Ltd (Chugai), a member of Roche group, in January 2012 andstarted operations on July 2, 2012. Located at Biopolis in Singapore, it aims to generate new antibody drugs based on Chugai’sproprietary antibody engineering technologies, such as recycling antibody®,sweeping antibody®, bispecific antibody, various Fc engineered antibodies, andother new antibody engineering technologies that are under development.

Research Assistant (Internship)–Translational Pharmacology Unit

Focus: Animal Husbandry (50%) | Research Support (50%)
(RCULA certification preferred / to be obtained during internship)

Role Overview

This Research Assistant Internship is designed for students seeking foundational exposure to preclinical research and laboratory animal science within a regulated research environment.

The intern will be embedded within the Animal Facility (AF), where animal husbandry and facility operations serve as a learning platform to understand how high‑quality animal care underpins reproducible in vivo research. Under close supervision, the intern will be introduced to basic in vivo research support activities, documentation practices, and compliance requirements.

Given the short internship duration, this role places emphasis on learning, observation, and assisted execution rather than independent or advanced experimental work, while providing hands‑on exposure to animal facility operations, animal welfare practices, and preclinical research support.

Job Scope:

• Support daily animal care, welfare observations, and basic facility operations under guidance.
• Maintain accurate husbandry, task, and basic inventory records.
• Observe and assist in routine in vivo research procedures under supervision.
• Provide preparatory and post‑procedure support for ongoing studies, appropriate to training level.
• Learn how study protocols, documentation, and facility operations support preclinical research.

Requirements

• Interest in laboratory animal care, biomedical research, or life sciences
• Willingness to perform hands‑on husbandry and cleaning tasks
• Ability to follow SOPs and maintain accurate records
• Good teamwork and communication skills.
• Responsible, detail‑oriented, and safety‑conscious
• Comfortable working with animals (mice and rabbits)

Preferred Attributes

• Currently pursuing or recently completed a Bachelor’s degree in Life Sciences, Biomedical Science, or related fields.
• RCULA certification (or willingness to obtain during internship)
• Prior exposure to animal facilities or laboratory environments
• Detail-oriented with a strong sense of curiosity and critical thinking.

What You Will Gain

• Practical experience in laboratory animal husbandry and welfare
• Exposure to regulated research environments and compliance practices
• Hands‑on support in preclinical research procedures
• Training in SOPs, facility operations, and quality documentation
• Mentorship from experienced animal facility and research staff

Fresh graduates with keen interest in in-vivo pharmacology are welcome to apply.

Interested applicants are invited to email their detailed resume, qualifications, availability, current and expected salary to: recruitment@chugai-pharmabody.com

For more information regarding our Company, you may refer to our website at: http://chugai-pharmabody.com/

We regret that only short-listed candidates will be notified.

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Assistant-Professor-in-Immunology-Translational-Research-Program-%28ITRP%29/32383-en_GB/

We regret that only shortlisted candidates will be notified.

Key Responsibilities

• Establish an independent, externally funded research program in immunology with an emphasis on translational approaches.
• Conduct cutting-edge research that contributes to ITRP’s goals, including vaccine development, antimicrobial resistance, pathogen-host interactions, anti-tumor immunity, immune ageing, and public health interventions.
• Collaborate with interdisciplinary teams including clinicians, scientists, and other stakeholders to drive impactful research.
• Mentor and supervise undergraduate, graduate, and postdoctoral researchers.
• Teach undergraduate and graduate-level courses in areas related to microbiology or immunology, anchored under the Department of Microbiology & Immunology.
• Publish high-quality, peer-reviewed research in leading journals and present findings at national and international conferences.
• Actively participate in ITRP’s events, workshops, and outreach activities.

Qualifications

Essential:

• PhD, MD, or equivalent, with at least three years of postdoctoral experience in microbiology, immunology, epidemiology, or a related field.
• Proven track record of research excellence as evidenced by first author original high impact publications.
• Strong potential to secure competitive external funding.
• Expertise in translational research methodologies.
• Demonstrated ability to work collaboratively in interdisciplinary teams.
• Excellent communication and leadership skills.

Desirable:

• Experience in teaching and curriculum development at the graduate level.
• Experience in mentoring and supervising research trainees.
• Research experience in neutrophil biology, microbial infection, and sepsis.
• Familiarity with regulatory and ethical requirements for translational research.

.

What We Offer

• Access to state-of-the-art research facilities and core resources.
• Opportunities for collaboration with leading researchers.
• Competitive salary and comprehensive benefits package.
• A supportive environment fostering career development and advancement.
• Opportunities to engage in impactful, translational research that addresses pressing global health challenges.

Application Process

Applicants should submit the following:

• A cover letter outlining their research and teaching interests.
• A detailed curriculum vitae (CV).

• A statement of research accomplishments and future plans.
• A statement of teaching philosophy.
• At least three professional references.

Applications will be reviewed on a rolling basis until the position is filled.

About Immunology Translational Research Program

The Immunology Translational Research Program (ITRP) at the National University of Singapore (NUS) is driven by a vision to transform medicine through immunological research and a mission to advance collaborative, cutting-edge science that harnesses the immune system to improve human health. Grounded in the belief that a deep understanding of immune mechanisms is essential for preventing, diagnosing, and treating disease, ITRP fosters a highly collaborative and interdisciplinary environment where scientists and clinicians work together to generate impactful discoveries. Looking ahead, ITRP aims to establish itself as a leading centre for immunology in Southeast Asia by strengthening cross-institutional collaboration, partnering with hospitals to bring research from bench to bedside, and attracting and training the next generation of immunologists and clinician-scientists. Through these efforts, the programme strives to deliver meaningful advances that benefit patients and public health across the region.

About Department of Microbiology and Immunology

The Department of Microbiology and Immunology has distinguished itself in biomedical research and has a broad spectrum of expertise. Research in the Department encompasses very diverse questions and uses a wide variety of approaches, experimental systems, and techniques. Principal Investigators of the Department are internationally recognized for research on immunology, medical virology, bacteriology, parasitology, molecular biology and biotechnology.

About NUS Yong Loo Lin School of Medicine

The NUS Yong Loo Lin School of Medicine is Singapore’s oldest and Asia’s top medical school, celebrating its 125th year anniversary in 2025. Today, the school produces cutting edge and impactful research, together with innovative education, seeking to impact change and enhance the practice of medicine in Singapore and beyond. The School is an integral part of a comprehensive university (NUS), with deep collaborative platforms across engineering, computer science, social science, public health, and others, and a long standing joint venture in the National University Health System (NUHS). The NUHS ecosystem is Singapore’s premier Academic Health Centre, encompassing three tertiary hospitals (National University Hospital, Ng Teng Fong Hospital and Alexander Hospital), three national specialist centres (National University Heart Centre, National University Cancer Institute and National University Centre for Oral Health), a primary care system and three health schools (medical school, dental school and school of public health), lending invaluable resource for clinical and translational research, not commonly found elsewhere. Together with other healthcare partners and research institutes in Singapore, the school is an important player in Singapore’s vibrant research and biotech ecosystem.

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow%2C-School-of-Computing/32398-en_GB/?st=86BAFC77ADD4E6D238EB62D96C91F5FFCD67C1A4

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for the position of Research Fellow in the Department of Computer Science, School of Computing (SoC). SoC is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights, developing novel computational solutions to a wide range of applications, building large-scale experimental systems and improving the well-being of society. We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and Information Systems.

We are looking for Research Fellow in the area of Automatic Programming. This position will be part of a Singapore Ministry of Education (MoE) Tier 3, multi-year research program named "Automated Program Repair" which has been funded 2022-2027. This is a large research program involving several research projects in analysis, verification, test generation and applications related to program repair. To see work done on program repair at NUS, kindly see the webpage https://nus-apr.github.io/ The work will involve assured autonomy in software engineering by building on the recent success of the group in building AutoCodeRover, see https://arxiv.org/abs/2404.05427 https://x.com/AbhikRoychoudh1/status/177749400 0611852515?mx=2. 

Qualifications

• Ph.D. in Computer Science or a closely related field.
• Has prior research experience in machine learning and static methods for program repair
• Excellent research skills, including data analysis, interpretation, and scientific writing.
• Strong communication and collaboration skills.
• Ability to work independently and manage multiple tasks effectively. 

Only shortlisted candidates will be notified.

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Assistant-Associate-in-Programme-Evaluation/32485-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

Applications are invited for the following full-time position in the Saw Swee Hock School of Public Health:

Research Assistant / Associate in Programme Evaluation

The Health Intervention and Policy Evaluation Research Centre (HIPER) (https://hiper.nus.edu.sg/) at the Saw Swee Hock School of Public Health (SSHSPH), NUS, is seeking to hire an individual with relevant skillset and experience to work in the area of programme evaluation and health services research.

The individual will play a critical role in anchoring the Centre’s Programme Evaluation Unit (Health Services) that will be servicing the Ministry of Health. The individual will contribute to the Centre’s research agenda to support programme evaluation and health services research in Singapore, gaining the opportunity to work with leading experts, policy makers, and programme implementers in the field. They will be expected to perform research administration, conduct formative and evaluation-driven research, and disseminate findings.

The role will require a highly motivated and capable team-player who can engage with incoming briefs and help shape and construct deliverables in a timely manner. As a researcher of the Centre, they will be presented with various opportunities to further develop their skills and experience to ensure personal growth in their career. The role benefits from exposure to many areas of public health ranging from evaluations of patient reported outcomes and experiences to evaluating national strategic plans. This will engage the individual in building professional networks across multiple agencies in Singapore and possibly overseas.

The successful candidate will join an active and supportive team that enjoys working together collaboratively, problem solving in creative and effective manner, and efficiently delivering theory-driven yet applied, practical outputs that will improve population health outcomes.

Requirements:
Applicants are expected to have a bachelor’s or master’s degree from an established University, preferably in public health, health sciences, social sciences, or statistics, with advanced quantitative research skills and good understanding of Singapore’s health system and landscape.

The grade of appointment will be accorded based on qualifications and work experience.

Applicants with following experiences and skills are preferred:
• Experience managing health services research and evaluation projects
• Experience conducting quantitative research, including design and collection of survey data, processing and analysis of large data sets, and other quantitative methods / data
• (optional) Experience conducting qualitative research, including design and conducting of focus groups and interviews, analysis and interpretation of qualitative data, and other qualitative methods / data
• Experience with overall project management, including ethics applications and institution administration processes
• Driven, collaborative, independent, and flexible
• Excellent written and verbal communication skills
• Well-organised and meticulous
• Strong proficiency in the use of Microsoft Office Applications
• Strong proficiency in the use of statistical software, preferably R or Stata, for statistical analyses
• (optional) Strong proficiency in the use qualitative data software, preferably Atlas.ti or nVivo, for data management and analysis
• Adept at learning new software packages and online digital systems

The appointed candidate will report directly to Dr. Ian Ang and be embedded in the wider team supervised by both Dr. Ian Ang and Dr. Zoe Hildon.

Our team at A*STAR Skin Research Labs (A*STAR SRL) is committed to advancing next generation biophotonics technologies to tackle key national healthcare challenges. We offer access to cutting-edge biophotonics tools, collaboration with leading clinicians and industry partners, and opportunities for meaningful clinical and commercial translation.

https://www.a-star.edu.sg/asrl/principal-investigators/dinish-u-s

We are currently seeking a Research Officer to contribute to the development of cutting-edge optical spectroscopy device platform with innovative AI-analytics for skin health/Medtech applications and its clinical translation.

Job scope/responsibilities:

• Interface and integrate embedded systems, sensors, and hardware components with optical systems for experimental and prototype platforms.
• Design, develop, and maintain LabVIEW-based software for instrument control, data acquisition and GUI development.
• Development of optical hardware and systems for spectroscopy & imaging
• Develop AI models for data analytics
• Testing of developed spectroscopy system in phantoms
• Take part in clinical study in hospitals (data collection and analysis) for the translation of the developed systems
• Present study concepts, experimental results, new findings to the management team and the research team members

Job requirements:

• Bachelor’s or master’s degree in Electrical engineering, Electronics, Mechatronics, Biomedical Engineering, Optical Engineering or in related field with minimum 1-2 years of relevant work experience
• Proven experience with LabVIEW programming, hardware interfacing (DAQs, microcontrollers) and GUI development.
• Hands-on experience with embedded systems, electronic design/debugging, and optical system integration.
• Familiar with AI models and experience on AI algorithm development for image analysis
• Proficiency in Matlab, Python Solid works, Zemax, and ANSYS is highly beneficial
• Strong communication, writing, and presentation skills.
• Meticulous and highly organized
• Industry working experience is advantageous

A Research Officer position is immediately available at the Stem Cells and Diabetes Laboratory. Dr Adrian Teo’s laboratory is interested in leveraging on stem cell technology to study mechanisms underlying diabetes and metabolic diseases. Reference: www.adrianteolab.com; https://medicine.nus.edu.sg/bch/faculty/adrian-teo/.

Qualifications / Requirements:

· Excellent degree in Biological Science and Life Science disciplines or equivalent

· Deep commitment and interest in research, demonstrated from previous research experience

· Minimum 6 months prior research experience in the Biomedical field

· Experience with mammalian cell culture and molecular biology techniques

· Experience with animal work and surgical techniques

· Experience with mammalian stem cell work will be valued

· Excellent organizational and interpersonal skills

· Highly motivated, passion for science, committed to laboratory work and able to work flexible hours

· Ability to multitask, work independently and also as part of a team

· Excellent communication (verbal and written) and presentation skills

· Experience in Flow Cytometry, Immunoprecipitation techniques, RNA-seq, Mass Spectrometry and bioinformatics will be valued

Interested candidates are invited to send a brief cover letter detailing research motivation, curriculum vitae, and the names and email addresses of three referees to:

adrian_teo@a-star.edu.sg

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Associate-%28LKYSPP%29-%2832384%29/32384-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The Nalanda Professorship in India-China Studies is a unique partnership between the National University of Singapore (NUS) and the Nalanda Library Fund Limited (NLFL), grounded in a mutual commitment to research excellence and international cultural exchange. This initiative seeks to advance the study of India-China relations by exploring the deep historical, cultural, economic, and intellectual ties between these two great civilizations.

The successful applicant will be hosted at the Lee Kuan Yew School of Public Policy and will work with the Centre on Asia and Globalisation (CAG) and the Nalanda Visiting Professor based at the Asia Research Institute (ARI). The Nalanda visiting professorship will be held by a distinguished expert in India-China studies, who will conduct original research and oversee a long-term project to compile an encyclopaedia of India-China relations. The initiative will also include archival research, graduate training, public lectures, workshops, and an annual conference—aimed at establishing India-China Studies as a dynamic and influential field of scholarship.

• Assist the Centre on Asia and Globalisation’s work on the Nalanda India-China project and other cognate projects on the geopolitics of India-China relations
• Support the Nalanda project’s research projects and activities
• Support the research of the Nalanda Visiting Professor
• Prepare background briefs, presentations, and monitor development on specific issues 
• Conduct independent research, and write academic and policy research papers and reports
• Compile and manage research materials and outputs
• Provide editorial and management support to research projects, events, and publications 
• Organise and support events, including academic and policy conferences and workshops
• Undertake other administrative duties related to research projects 
• Social media content management and website maintenance

Qualifications

• A Master’s degree holder in a discipline within the social sciences and/or humanities 
• Expertise or interest in India-China studies, historical and/or contemporary
• Strong analytical ability and strong self-motivation 
• Able to work independently
• An ability to engage with research and policy communities in Asia and around the world 
• A strong sense of collegiality 
• Strong spoken and written communication skills in English and Mandarin, essential due to role requirements
• Ability/experience with social media content management tools 

Application Procedure

Applicants should submit in electronic form (MS Word or PDF file) for the following below:

• Cover letter, with a brief statement of research expertise and its relevance to research interests as above
• Detailed curriculum vitae 
• At least one writing sample (in English)
• Two references/recommendation letters (names for now and full letter if shortlisted)
• Joining date: July/August 2026
• Application deadline: May 3, 2026

Please send electronic submissions to the NUS Career Portal.
Only shortlisted candidates will be notified.

At the Institute of High Performance Computing (IHPC), A*STAR, we drive innovation at the intersection of artificial intelligence and healthcare. Our mission is to build large language models (LLMs) and multimodal foundation models that can transform clinical decision support, biomedical discovery, and public health.

We are looking for AI talent at both Scientist and Engineer levels to join us. Whether you are a PhD-trained scientist pushing the frontiers of research, or an engineer with strong applied AI skills ready to build large-scale systems, you will contribute to innovations that make real impact in healthcare.

Key Responsibilities:

Research & Development

• Develop novel architectures, training strategies, and optimization methods for LLMs and multimodal foundation models.
• Advance instruction tuning, reinforcement learning (RLHF/GRPO), retrieval-augmented generation (RAG), and knowledge-grounded reasoning in medical AI.
• Design and implement multimodal learning pipelines that integrate text, imaging, omics, and real-world clinical data.

Translation & Collaboration

• Prototype AI systems for clinical and biomedical applications (e.g., decision support, conversational AI, population health, drug discovery).
• Benchmark models against state-of-the-art healthcare AI datasets and evaluation frameworks.
• Collaborate with industry and healthcare partners to enable translation, licensing, and commercialization.

Scientific Leadership

• Publish in top-tier AI/ML venues (e.g., NeurIPS, ICML, ICLR, AAAI, ACL) and high-impact biomedical journals (e.g., Nature Medicine).
• Contribute to open science initiatives (datasets, model releases, benchmarks).
• Secure funding through collaborative research proposals with academia, healthcare institutions, and industry.

Job Requirements:

• PhD in Computer Science, Artificial Intelligence, Machine Learning, or related fields with atleast 5 years of relevant experience.
• Strong publication record in top AI/ML venues (e.g., NeurIPS, ICML, ICLR, ACL) or high-impact biomedical journals.
• Deep expertise in LLMs, foundation models, or multimodal AI.
• Strong skills in deep learning frameworks (PyTorch, TensorFlow, JAX) and distributed/HPC training.
• Experience in large-scale LLM and foundation model training and deployment.
• Experience with medical or biomedical data (EHR, clinical notes, imaging, genomics).
• Familiarity with biomedical ontologies and knowledge graphs (UMLS, SNOMED CT, PubMed).
• Understanding of AI ethics, safety, and regulatory considerations in healthcare.

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.

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28Resilience-Analytics%29/31461-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are seeking a post-doctoral candidates for research in the area of resilience analysis. The responsibilities are as follows:
(1) Develop resilience models for complex systems considering human behaviors and climate changes 
(2) Develop statistical inference techniques to analyze resilience data
(3) Draft and submission of technical progress reports at regular intervals
(4) Present of research progress and latest findings at regular intervals
(5) Publish of quality research journal articles and conference proceedings to disseminate research findings internationally  

Job Requirements

•    (1) Applicants should have a PhD degree in industrial engineering, transportation or other relevant areas.
•    (2) A strong publication record in the area of resilience engineering or data science.
•    (3) Good at programming using Python, R, Matlab or Mathematica. 
•    (4) Good English writing skills for the purpose of research, research progress and research analysis reports.

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Associate-%28Machine-Learning-in-Chemical-Engineering%29%2C-ChBE/32386-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

•     The Research Associate will work closely with the Principal Investigator on several research projects on using machine learning in chemical and optimization problems 
•    The Research Associate  will help to develop machine learning models for both theory and applications in advanced control systems 

Job Requirements

•    A Bachelor or Master degree in a relevant area, e.g., Chemical Engineering, Control Engineering, Computer Science,  Chemistry, etc.
•    Experienced in machine learning, optimization and programming languages (e.g., python, Matlab, C++, etc)
•    Any experience with 1) advanced control, 2) machine learning theory and applications, and 3) chemical engineering and chemistry is a plus

Interested applicants are invited to apply directly at the NUS Career Portal. Please note your application will only be processed if you apply via NUS Career Portal.

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28Centre-for-Trusted-Internet-and-Community%29/31709-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are seeking an enthusiastic and capable full-time Postdoctoral Research Fellow to work on a project on addressing online toxicity. The successful candidate will work with an interdisciplinary team of scholars based in Singapore to advance research and develop solutions to tackle online toxicity.

The contract is for 1 year and is renewable up to 2 years. 

Job tasks

The successful candidate will assist in work towards identifying personas. Responsibilities include conducting digital ethnography, thematic content analysis, and focus groups. The successful candidate will conduct literature reviews, produce research summaries, pen research plans, recruit participants, and ensure compliance with research ethics and data privacy requirements.

This role includes some project management, including coordinating tasks, tracking and reporting process, and collaborating closely with the research team.  They will also be required to support research admin and deliverables such as reports/journal articles, workshops and webinars.

Qualifications

Applicants should have at least or close to obtaining a PhD in the Social Sciences/Humanities, Computing or other relevant disciplines, and demonstrated research experience in communication and new media. The candidate should have an interest in and knowledge of online harms and online communities, and be familiar with data collection using API and social media listening tools. Familiarity with Singapore’s socio-cultural landscape is an advantage. Applicants would ideally have experience in quantitative and qualitative research relevant to this multidisciplinary project. Those from social sciences, communications, computer science, or related fields are encouraged to apply.

Essential requirements

• Excellent spoken and written English skills
• Strong ability to follow instructions, adhere to deadlines and demonstrate attention to detail
• Proven ability to collaborate and work in a team
• Strong time management and organisational skills
• Demonstrated ability for project management (e.g. maintain project artifacts such as timelines and reports)

Required documents
To apply, please send in your CV (including 2 referees), a cover letter, and a writing sample in one PDF to the NUS Career portal.

At the Institute of High Performance Computing (IHPC), A*STAR, we drive innovation at the intersection of artificial intelligence and healthcare. Our mission is to build large language models (LLMs) and multimodal foundation models that can transform clinical decision support, biomedical discovery, and public health.

We are looking for AI talent at both Scientist and Engineer levels to join us. Whether you are a PhD-trained scientist pushing the frontiers of research, or an engineer with strong applied AI skills ready to build large-scale systems, you will contribute to innovations that make real impact in healthcare.

Key Responsibilities:

Research & Development

• Develop novel architectures, training strategies, and optimization methods for LLMs and multimodal foundation models.
• Advance instruction tuning, reinforcement learning (RLHF/GRPO), retrieval-augmented generation (RAG), and knowledge-grounded reasoning in medical AI.
• Design and implement multimodal learning pipelines that integrate text, imaging, omics, and real-world clinical data.

Translation & Collaboration

• Prototype AI systems for clinical and biomedical applications (e.g., decision support, conversational AI, population health, drug discovery).
• Benchmark models against state-of-the-art healthcare AI datasets and evaluation frameworks.
• Collaborate with industry and healthcare partners to enable translation, licensing, and commercialization.

Scientific Leadership

• Publish in top-tier AI/ML venues (e.g., NeurIPS, ICML, ICLR, AAAI, ACL) and high-impact biomedical journals (e.g., Nature Medicine).
• Contribute to open science initiatives (datasets, model releases, benchmarks).
• Secure funding through collaborative research proposals with academia, healthcare institutions, and industry.

Job Requirements:

• PhD in Computer Science, Artificial Intelligence, Machine Learning, or related fields.
• Strong publication record in top AI/ML venues (e.g., NeurIPS, ICML, ICLR, ACL) or high-impact biomedical journals.
• Deep expertise in LLMs, foundation models, or multimodal AI.
• Strong skills in deep learning frameworks (PyTorch, TensorFlow, JAX) and distributed/HPC training.
• Experience in large-scale LLM and foundation model training and deployment.
• Experience with medical or biomedical data (EHR, clinical notes, imaging, genomics).
• Familiarity with biomedical ontologies and knowledge graphs (UMLS, SNOMED CT, PubMed).
• Understanding of AI ethics, safety, and regulatory considerations in healthcare.

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.