Total 427 Science / R&D / Research job vacancies in PASIR GUDANG

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-%28Computer-Systems%2C-Machine-Learning%29%2C-School-of-Computing/32568-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for the position of Research Assistant 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.

The successful candidates will be responsible for working closely with the incoming Assistant Professor Dr Jiang Wenqi, and lab members on one or more research projects. He/she should possess experience or interest in at least one of the following research areas:

• Machine Learning Systems
• Computer Systems
• Computer Architecture
• Databases

Only shortlisted candidates will be notified. 

Qualifications

• Bachelors or fresh Master’s degree in a relevant area for research assistant position
• Experience in research
• Solid background in computer systems, machine learning, or related areas

Job Description

The Duke-NUS Centre for Biomedical Data Science (CBDS) serves as a central hub for Duke-NUS faculty specialising in Biostatistics, Bioinformatics, Systems Biology, Artificial Intelligence (AI), and other quantitative and data-driven sciences. CBDS functions as a strategic platform for cutting-edge research, education, and services in data science, AI, and biomedical computation, building on existing institutional initiatives such as DAISI.

Dr. Xiaoyu Song’s laboratory at Duke-NUS Medical School is seeking a motivated Research Fellow with expertise in biostatistics, bioinformatics, or computational biology. The successful candidate will join an interdisciplinary team developing novel statistical methods for multi-omics data analysis. Research areas may include method development for studying the tumour microenvironment using spatial transcriptomics, integrative proteogenomics for causal inference, and AI-driven models for cell-type-aware analysis of bulk omics data.

This position offers an opportunity to work at the forefront of biostatistics and contribute to advancing the understanding of cancer and other complex diseases.

Key Responsibilities:

• Design and develop statistical methods for high-dimensional omics data, including multi-level data (subject, tissue, single-cell) with or without spatial features.
• Analyse large-scale omics datasets, interpret results, and generate biological insights.
• Work closely with national and international collaborators, including biostatisticians, clinicians, biologists, students and other research staff.
• Prepare oral presentations and written reports to evaluate data, explain analysis methods, and interpret results.
• Lead and contribute to high-impact publications in statistical and biomedical journals.
• Assist in the preparation of grant applications and reports for ongoing funded projects.
• Perform other related duties incidental to the work described herein.

Job Requirements

• PhD in Biostatistics, Bioinformatics, Computational Biology, or related fields.
• Strong foundation in AI, statistical modeling, machine learning, or high-dimensional data analysis.
• Proficiency in programming languages such as R, Python, or Julia.
• Excellent communication and collaborative skills.
• Strong publication records in peer-reviewed journals is an advantage.
• Experience with biological data (e.g., genomics, transcriptomics, single-cell data) is an advantage.

We regret that only shortlisted candidates will be notified.

Job Description

The Duke-NUS Centre for Biomedical Data Science (CBDS) serves as a central hub for Duke-NUS faculty specialising in Biostatistics, Bioinformatics, Systems Biology, Artificial Intelligence (AI), and other quantitative and data-driven sciences. CBDS functions as a strategic platform for cutting-edge research, education, and services in data science, AI, and biomedical computation, building on existing institutional initiatives such as DAISI.

Dr. Xiaoyu Song’s laboratory at Duke-NUS Medical School is seeking a motivated Research Assistant or Research Associate to support ongoing projects in biostatistics, bioinformatics, computational biology, artificial intelligence (AI), and multi-omics data analysis.

The successful candidate will join an interdisciplinary team developing statistical, computational, and AI-driven approaches to analyse complex biomedical data. Research areas may include bulk and single-cell omics, spatial transcriptomics, proteogenomics, and integrative AI models to advance understanding of complex human diseases.

Depending on experience and training, the candidate will contribute to data analysis, model development and implementation, literature review, interpretation of results, and coordination of research activities.

Key Responsibilities:

• Assist with data cleaning, management, processing, and analysis of biomedical and omics datasets.
• Support the implementation, testing, and application of statistical, computational, or AI-based methods.
• Contribute to the development, evaluation, and interpretation of statistical or AI models under supervision.
• Conduct literature reviews and summarise key research findings.
• Prepare tables, figures, presentations, and written summaries of research results.
• Collaborate with interdisciplinary team members, including biostatisticians, clinicians, biologists, students, and research staff.
• Contribute to the preparation of manuscripts and reports, as appropriate.
• Provide support for project coordination and routine administrative tasks, including scheduling meetings, organising materials, tracking timelines, and preparing documentation for reports or submissions.
• Maintain accurate and organised research records and documentation.
• Perform other related duties incidental to the work described herein.

Job Requirements

• Bachelor’s or Master’s degree in Biostatistics, Statistics, Bioinformatics, Computational Biology, Data Science, Computer Science, Artificial Intelligence, Life Sciences, or a related field.
• Strong foundation in statistical modelling, machine learning, or high-dimensional data analysis.
• Prior experience in data analysis, statistical programming, machine learning, or computational research is preferred.
• Proficiency in R, Python, or similar programming languages.
• Ability to work both independently and collaboratively in a research environment.
• Prior exposure to genomics, transcriptomics, single-cell, imaging, or other biological datasets is advantageous but not required.

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-%28Computer-Science%29/32571-en_GB/?st=D6600C8B411B3E89EE81FF80048283A0B614DF26

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. The School of Computing is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights in developing novel computational solutions to a wide range of applications, building largescale experimental systems, developing theories and policies for effective management of information systems in organizations, 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.

The Research Fellow will work with the PI in AI Security.

Job Requirements

• Have a strong background in AI security.
• Have very good programming skills.
• Have a Ph.D. degree in computer science or a related area.
• Published papers on top-tier conferences as the first author.

Job description

The Duke-NUS Cancer and Stem Cell Biology (CSCB) Programme studies the causes and treatments of cancer and related diseases. The CSCB research groups have diverse programmes in both basic cancer biology and clinical-translational studies, with a special emphasis on cancers that affect the Asian community in general.

A/Prof Nicholas Tolwinski is seeking a Research Fellow to conduct large-scale dataset analysis using machine learning approaches. Our dynamic and growing research group focuses on understanding signal transduction biology and developing interventions to improve health span and quality of life.

• Oversee data collection from molecular and cell biology experiments under the supervision of the Principal Investigator or his designate.
• Conduct RNA sequencing analysis and related bioinformatics workflows.
• Develop biological clock models and computational frameworks.
• Contribute to de novo antibody design using computational approaches.
• Support the development and application of large language models (LLMs) in research.
• Prepare and review research manuscripts; present findings at scientific meetings.
• Conceptualise new research ideas and develop independent research plans with potential for significant impact and funding.
• Provide support for external grant/protocol development, study design and management of research activities.
• Contribute to occasional educational / instructional activities and project management.
• Provide guidance and mentorship to undergraduate / medical students and research assistants.
• Maintain optimal experiment progress in the laboratory or in the research work undertaken.
• Perform other related duties incidental to the work described therein.

Job Requirements

• PhD and/or post-graduate medical degree with at least 3 years’ relevant research experience and training.
• Entry-level candidates may also be considered.
• Strong knowledge of genetics and molecular biology techniques.
• Proven track record in the form of high-impact publications.
• Demonstrated progressive capability in research independence.
• Strong writing and critical thinking skills, as well as good communication and presentation skills.
• A team player who is able to prioritize, multitask, and work collaboratively in a diverse workforce.

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-Assistant-%28Sustainable-Design%29/32638-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The Research Assistant will contribute to the development of a focused research study that builds on prior exploratory work and advances new lines of inquiry. The role involves synthesising existing material, extending analysis through targeted investigation, and working closely with supervisors to refine frameworks, arguments, and outputs into a coherent final report.

Qualifications

•    The applicant should have a background in architecture and/or urban design/ urban planning.
•    The applicant should have completed graduate studies (i.e both Bachelors and Masters)

•    The applicant should have previous experience of 1-2 years in the field of design/ planning / research.

•    The applicant should demonstrate strong design and research capabilities, with an ability to link architectural form to broader urban, environmental, and infrastructural systems

•    The applicant  should have a working understanding of carbon in the built environment, including its estimation and representation across scales.
•    The applicant should be proficient in synthesising complex information into clear insights, with strengths in analytical thinking, writing, and visual communication.

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-%28Dept-of-Physiology%29/32642-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for Research Assistant for “Novel Therapeutics for Genetic Epileptic Encephalopathies.” in the Healthy Longevity TRP, Yong Loo Lin School of Medicine. Appointments will be made on a 12 months contract basis.

Purpose of the post

The Research Assistant (RA) will be responsible to, and work closely with, the Principal Investigator to conduct the experiments and analyze and present data.

Main duties and responsibilities

The Research Assistant (RA) will liaise with relevant hospital personnel to facilitate participant recruitment and data collection and will be accountable to the Principal Investigator (PI). The RA will be responsible for the following:

1. Overseeing the general day-to-day management of the research project.
2. Drafting and coordinating submissions to the Institutional Animal Care and Use Committee (IACUC).
3. Performing tissue culture and molecular biology experiments.
4. Conducting patch-clamp electrophysiology experiments.

Qualifications

The successful applicant should meet the following criteria:

a. Possess a bachelor’s degree with good academic standing (B.Sc. or equivalent) in life sciences or a related discipline.
b. Have hands-on experience with rodent models, cell culture, and molecular biology techniques.
c. Demonstrate the ability to work independently as well as collaboratively within a team, with strong investigative skills and attention to detail.
d. Be proficient in common computer applications, including Microsoft Office and PowerPoint.

Remuneration will be commensurate with the candidate’s qualifications and experience.

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-%28Computational-Microscopy%2C-AI%29/32637-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

A Research Fellow position is open in a research lab at the Department of Electrical and Computer Engineering, National University of Singapore (NUS). 

The selected candidate is expected to conduct research in computational microscopy and next generation AI for pathology analysis.

Qualifications

•    PhD degree in relevant field.
•    Postdoctoral associate with experience in computational optics, computational microscopy, machine learning. 
•    Open to Fixed Term Contract.

Southern Ridges Capital

Southern Ridges Capital is a multi‑billion‑dollar global macro hedge fund with a track record of over seven years of delivering high risk adjust returns through fixed income, currency, commodities and equities trading.

We believe in cultivating a strong, collaborative culture where people are empowered to learn, grow, and do their best work. We are committed to mentoring early-career professionals and giving them the tools, exposure, and guidance to succeed in a dynamic and intellectually challenging environment.

What You’ll Do

As a Macroeconomic Research Analyst, you’ll work closely with our investment team to develop insights and tools that directly support real-time investment decisions. This is a hands-on, learning-intensive role ideal for someone curious about financial markets and passionate about applying data-driven methods to solve complex problems.

Your key responsibilities will include:

• Develop and maintain proprietary macro models covering GDP, inflation, current account dynamics, and monetary policy across G10 and EM economies
• Monitor and synthesize central bank communications (Fed, ECB, BOJ, RBI, BOK, PBoC) to forecast policy trajectories and rate differentials
• Track real-time economic data releases with a focus on deviations from consensus and second-order market implications
• Translate macro views into specific trade recommendations across rates, FX, equities
• Prepare daily/weekly market commentary synthesizing macro developments, central bank signalling, and positioning data
• Monitor global capital flows, speculative positioning (COT, prime brokerage data), and investor sentiment indicators
• Build and maintain relationships with sell-side economists, central bank watchers, and independent macro researchers

What You’ll Gain

• Hands-on Experience: Exposure to live trading environments and real-world investment problems from day one
• Mentorship & Learning: Work closely with seasoned professionals who will support your growth through feedback and collaboration
• Professional Development: Build skills in coding, data analysis, and financial market research
• Impact: See your work contribute directly to the investment process and help drive results

Who We’re Looking For

Technical Skills

• A minimum master’s degree/PHD with a major in economics or a related field
• 2 to 5 years of experience as a macro-economic researcher
• Proficient in Python and/or R
• Familiarity with statistical and econometric concepts

Helpful Experience

• Exposure to macroeconomic or financial data tools like Bloomberg, CEIC, Haver, or Macrobond
• Interest in financial markets and macroeconomic trends

Soft Skills

• A curious, analytical mindset and eagerness to learn
• Strong attention to detail and problem-solving skills
• Clear communication and willingness to ask questions
• A team player who thrives in a collaborative and respectful environment

Why Join Us

At Southern Ridges Capital, you will work closely with the investment team, and you will have the opportunity to contribute to real investment decisions and view your impact. You will gain a wider experience and better understanding of the investment world working in a smaller and more collaborative setup like ours.

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-%28Chemical-Imaging%29-1/32639-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are looking for passionate and self-motivated postdoctoral research fellows to join our multidisciplinary team to work on the rational design of novel nanocatalysts and optical imaging for catalysis. 

The successful candidate will be expected to collaborate with a group of researchers from various disciplines and also assist the principal investigator in guiding junior researchers and graduate students as well as in managing project and laboratory. (https://cde.nus.edu.sg/mse/staff/ming-zhao/;  https://www.mingzhaogroup.com/)  

Qualifications

•    PhD degree in materials, chemistry, chemical engineering, physics, environmental engineering, or any other related fields.
•    Expertise in optical imaging and nanocatalysis
•    Published in reputable international journals. 
•    Responsible and able to work independently. 
•    Good written and spoken communication. 
•    Good team player across multiple disciplines. 
•    < 5 years work experience after obtaining a PhD degree

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

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Assistant%2C-School-of-Computing/32553-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for the position of Research Assistant 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 invite applications for a Research Assistant position focused on AI-driven Identity & Access Management (IAM) and Cybersecurity. The successful candidate will work on advanced AI systems for identity security, addressing challenges in anomaly detection, adaptive authentication, and explainable threat intelligence. 

Key Responsibilities:

• Design and develop AI-driven models for identity security and access-control analytics.
• Build generative modeling pipelines (e.g., GANs, diffusion models) to synthesize realistic malicious or anomalous login behaviors for robust model training.
• Implement anomaly detection and adaptive decision systems for real-time IAM defense.
• Engineer edge-native AI modules for adaptive multi-factor authentication and token validation on resource-constrained platforms.
• Develop explainable AI pipelines, including retrieval-augmented generation (RAG)–based systems that justify access decisions.
• Integrate models into end-to-end systems spanning edge devices, containers, and cloud platforms.
• Conduct experimental evaluation, benchmarking, and system-level testing.
• Contribute to research publications, technical reports, and prototype deployments.

Job Requirements

• Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related field.
• Strong programming proficiency in Python and C/C++.
• Solid understanding of machine learning, data analytics, and system security fundamentals.
• Experience or strong interest in cybersecurity, IAM, or authentication systems.
• Experience with generative AI techniques (GANs, diffusion models) for data synthesis.
• Familiarity with edge AI deployment and optimization (e.g., NVIDIA Jetson, ARM platforms).
• Experience with containerized or cloud-native systems (Docker, Kubernetes).
• Knowledge of model optimization and deployment frameworks (TensorRT, ONNX).
• Exposure to cloud platforms such as Google Cloud Platform (Vertex AI, BigQuery).
• Interest in explainable AI, security analytics, or AI-assisted decision support systems.
• Familiarity with tabular data modeling, anomaly detection, or security-log analysis.
• Experience with Linux environments and version control tools (e.g., Git).
• Strong analytical thinking, problem-solving skills, and research motivation

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

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28MaterialsChemistryEngineering%29/32557-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are looking for a passionate and self-motivated postdoctoral research fellow to join our multidisciplinary team working on the development of novel synthetic and bio-based polymers and composite materials for environmental sustainability applications. The successful candidate will be expected to be part of the research team under the supervision of the Principal Investigator (PI) to work on:

• Developing materials and technologies for resource recovery from seawater desalination processes.
• Conducting research and experiments for materials synthesis, fabrication, testing and characterization.
• Writing and preparing progress reports, manuscripts, and proposals related to the propjets.
• Assisting the PI in guiding junior researchers, graduate students, and undergraduate students.
• Assisting the PI in managing projects and laboratories and other ad hoc tasks that may be assigned by the PI.

Qualifications

• A PhD degree in Materials, Chemistry, Chemical Engineering, Environmental Engineering, Bioengineering, or any other related field, obtained from a reputable university.
• Fresh PhD without postdoctoral working experience is welcomed, but showing evidence of excellent research accomplishments.
• Excellent research publication records in reputable international journals.
• Strong background in biomass and bio-based polymers, hydrogels, and composite resins.
• Good written and spoken English communication skills.
• Being a good team player across multiple disciplines.

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

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28Mathematics%29/32554-en_GB/?st=B4F0BB890E1B2C104B997DC78512E046CAC5DE27

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Professor Toh Kim Chuan on methods for convex relaxations of polynomial optimization under a project on "Methods for nonsmooth nonconvex optimization".

The main responsibilities of the position include the followings: 
•    Conduct independent research on the design, analysis and implementation of efficient and robust algorithms for large-scale structured polynomial optimization problems.
•    Conduct simulations and experiments to validate established theoretical results and evaluate the performance of the proposed algorithms.
•    Prepare technical reports, research papers, and presentations for academic conferences and journals.
•    Work closely with faculty members, postdocs, and PhD students on research projects.

Qualifications / Discipline:  
•    Graduating PhD or recent PhD holder specializing in computational optimization. 

Skills: 
•    Advanced knowledge on optimization theory and algorithms at PhD level is required, especially strong theoretical and numerical understanding of advanced polynomial optimization algorithms for matrix polynomial optimization 
problems.
•    Proficiency in Python or Julia, Matlab for algorithmic implementation. 
•    Good academic writing and presentation skills for publishing research findings.
•    Ability to work independently and collaboratively in an interdisciplinary research environment.

Experience:   
•    At least 2 years of independent research experience in the analysis of convex relaxations for polynomial optimization problems.
•    Demonstrated research and intellectual ability, such as having published research papers in premier optimization journals related to the job requirements.  

The Signature Research Programme in Neuroscience and Behavioural Disorders (NBD) is focused on understanding the structure and function of the nervous system, and the neural mechanisms underlying human neurological, psychiatric and ophthalmological disorders.

The Laboratory of Neural Stem Cells, led by Professor Hongyan Wang, is dedicated to understanding molecular mechanisms of brain development. Utilizing Drosophila, mouse, and human brain organoids as model systems, our research focuses on elucidating to neural stem cell proliferation, differentiation, and regeneration, as well as their implications in neurodevelopmental disorders (Science Advances 2024, Nature Communications 2024, PLOS Biology 2024, Cell 2024, Developmental Cell 2023, 2010, 2011). Prof. Wang, an EMBO Associate Member, is an internationally recognised leader in the field of neural stem cells.

The selected candidate will perform a variety of research activities which include planning, organising and conducting research studies within the overall scope of a research project under the supervision of the Principal Investigator or his/her designate, including but not limited to the following: - 

• Independently carry out the design and execution of experimental research required by the research component of the project. 
• Write and review research papers, present research outcomes, conceptualise new ideas and develop plans for independent research which could have a considerable influence and impact on the relevant field attracting research funding. 
• Provide support for external grant/protocol development, study design and management of research activities. 
• Contribute to occasional educational / instructional activities and project management. 
• Provide guidance and mentorship to undergraduate / medical students and research assistants. 
• Maintain optimal experiment progress in the laboratory or in the research work undertaken. 
• Perform other related duties incidental to the work described therein.

Job Requirements

• PhD and/or post-graduate medical degree with at least 3 years’ relevant research experience and training in Drosophila.
• Knowledge of the scientific background relevant to the research area and laboratory experimental skills, where applicable.
• Proven track record in the form of high impact publications.
• Demonstrated capability of research independence progressively.
• Strong writing and critical thinking skills, as well as good communication and presentation skills.
• Team player who is able to prioritise, multi-task and work collaboratively in a diverse workforce.

We regret that only shortlisted candidates will be notified.

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

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Scientist-%28A%29-%28Aerodynamics%29/32558-en_GB/?st=9528CBB8F1097472C3232A6A081B514EC18A3336

We regret that only shortlisted candidates will be notified.

Job Description

Applications are invited for the position of Research Scientist to contribute to computational fluid dynamics (CFD) research in aerodynamics.

Roles and Responsibilities:

The successful applicant will join a large, highly motivated research group focused on experimental measurements and numerical simulations across a broad range of aerodynamics and fluid mechanics problems. The position offers access to extensive high-performance computing resources at NUS and the National Supercomputing Centre, as well as state-of-the-art experimental facilities and instrumentation.

Essential skillsets

• Strong experience and understanding of aerodynamics and/or fluid mechanics
• Background in one or more of the following areas: bluff-body flows, airfoils, active and passive flow control, boundary-layer flows, multiphase flows, and bio-inspired aerodynamics
• Demonstratable prior experience in CFD using commercially available software such as Star-CCM, Fluent and OpenFOAM
• Experience in programming using MATLAB or similar languages for data post-processing and analysis
• Ability to work independently and as part of a team
• Good written and oral communication skills

Desirable skillsets

• Experience in code development and numerical scheme implementation
• Experience in applying machine learning techniques to engineering or scientific problems

Qualifications

Candidates should hold a Doctoral degree in Mechanical Engineering, Aeronautical Engineering, or a closely related discipline, with a strong foundation in fluid dynamics.

The appointee will be expected to actively disseminate research outcomes by leading the preparation of manuscripts for peer-reviewed journals, presenting findings at international conferences, and showcasing results at other appropriate forums. The role also involves supporting project-related administrative duties, including risk assessments, coordination of project meetings, and research documentation, as well as any other responsibilities assigned by the line manager following consultation with the post holder.

To apply, please send your cover letter, CV and names of 3 references (name, institution, email) to NUS Career Portal. Only shortlisted candidates will be contacted