345 Paid Study jobs in Singapore

• Join our mission to revolutionize healthy ageing The LightSPAN Project at TUMCREATE is seeking a passionate, people-focused Research Assistants to help us run an ambitious research-focused groundbreaking clinical trial improving seniors' health through optimized light exposure and contribute to scientific discoveries in collaboration with Lion Befrienders.
• We value diversity and welcome applicants from all backgrounds who are passionate about making a difference in seniors' health.

• We require part- and/or full- time students and recent University or Polytechnic graduates from October 2025 to April 2026.
• Part-time: you should be able to work at least 8 hours per week. We pay an allowance of SGD 15 per hour.
• Full-time: Starting salary SGD 2200.

• Recruit and schedule participants, ensuring a positive and professional experience. You will make conduct support calls with participants and station on-site at any Lion Befrienders' branches to recruit senior participants. You will also support the participants to complete our survey forms, explain how to download/use our app and entering data into our database and any other duties. Coaching and transport reimbursement by MRT and buses will be provided.
• Provide warm, supportive interactions with seniors, building trust and engagement
• Collect high-quality research data that will directly inform new health interventions

• Background in Nursing, Medicine, Health Sciences, Psychology, Gerontology, Arts, Humanities and Social Sciences, or related fields
• Able to speak local languages to reach out to seniors from different cultures and background
• Empathetic, outgoing, and confident in interacting with seniors
• Detail-oriented, motivated, and able to work independently while contributing to a team
• Problem-solver who can adapt to challenges in a dynamic research environment

• Opportunity to gain hands-on experience in clinical research and digital health interventions in a cutting-edge internationally oriented team.
• Mentorship from leading experts in ageing and health technology.
• Being part of an international research network
• Joining a vibrant, modern and positive working environment

About TUMCREATE

TUMCREATE is a multidisciplinary research platform of the Technical University Munich (TUM) at the Singapore Campus for Research Excellence and Technological Enterprise (CREATE). We are joining forces with universities, public agencies, and industry for the advancement of future technologies.

The LightSPAN project is funded by the National Research Foundation of Singapore and aims to investigate how we can optimize light exposure to support health and well-being across the lifespan, with a specific focus on optimizing light exposure in seniors.

Please visit for more information about TUMCREATE.

Job Purpose/Objective of the Position:

• Join our mission to revolutionize healthy ageing! The LightSPAN Project at TUMCREATE is seeking a passionate, people-focused Research Assistants to help us run an ambitious research-focused groundbreaking clinical trial improving seniors’ health through optimized light exposure and contribute to scientific discoveries in collaboration with Lion Befrienders.
• We value diversity and welcome applicants from all backgrounds who are passionate about making a difference in seniors’ health.

Time commitment:

• We require part- and/or full- time students and recent University or Polytechnic graduates from October 2025 to April 2026.
• Part-time: you should be able to work at least 8 hours per week. We pay an allowance of SGD 15 per hour.
• Full-time: Starting salary SGD 2200.

Job responsibilities:

• Recruit and schedule participants, ensuring a positive and professional experience. You will make conduct support calls with participants and station on-site at any Lion Befrienders’ branches to recruit senior participants. You will also support the participants to complete our survey forms, explain how to download/use our app and entering data into our database and any other duties. Coaching and transport reimbursement by MRT and buses will be provided.
• Provide warm, supportive interactions with seniors, building trust and engagement
• Collect high-quality research data that will directly inform new health interventions

Job requirements/competencies:

• Background in Nursing, Medicine, Health Sciences, Psychology, Gerontology, Arts, Humanities and Social Sciences, or related fields
• Able to speak local languages to reach out to seniors from different cultures and background
• Empathetic, outgoing, and confident in interacting with seniors
• Detail-oriented, motivated, and able to work independently while contributing to a team
• Problem-solver who can adapt to challenges in a dynamic research environment

What we offer you:

• Opportunity to gain hands-on experience in clinical research and digital health interventions in a cutting-edge internationally oriented team.
• Mentorship from leading experts in ageing and health technology.
• Being part of an international research network
• Joining a vibrant, modern and positive working environment

Applications:

Please send your cover letter (compulsory) detailing your motivation, clearly indicate whether you wish to work part- or full- time or both, and prior expertise, and your CV (max. 2 pages) to .

Research Assistant positions are available in the Information Systems Technology and Design (ISTD) Pillar, Singapore University of Technology and Design. The Research Assistants will be involved in the research and development of multilingual AI models and algorithms.
Job Responsibilities
Multilingual data collection and generation
Conduct of human evaluation for implemented algorithms
Assist PI in project administrative matters
Assist PI in project reporting
Qualifications & Experience
Bachelor's / Master's degree in Computer Science, or related field.
Experience in research project administration and management.
A strong passion for AI-related research.
Experience in machine learning, data mining, and data analytics is highly advantageous.
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Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

This project will focus on multi-agent exploration and navigation in unknown areas, where multiple autonomous robots (agents) are tasked with spreading over a given region to be explored, or to reach a given position and discover the world to do so as rapidly as possible. Throughout this work, we will assume that robots can communicate their observations (e.g., partial map of the environment) during search, via local or global communications, so they can update their representation of the domain online. These tasks will be approach using generative models (GM), e.g., diffusion models and/or matching flows, to allow agents to generate medium- to longer-term plans that allow them to better trade off exploration and exploitation in the long run.

• Excellent coding skills in python with pytorch (distributed deep reinforcement learning, Transformers, etc.)

• Literature review/summarizing skills

• Simulations abilities (e.g., AirSIM, ROS Gazebo)

• Experience with implementation of deep learning model on hardware (e.g., ground/aerial robots)

• Experience publishing papers, and supervising undergraduate/master's students

• Good writing/spoken communication skills

TUM CREATE

TUMCREATE is a multidisciplinary research platform of the Technical University Munich (TUM) at the Singapore Campus for Research Excellence and Technological Enterprise (CREATE). We are joining forces with universities, public agencies, and industry for the advancement of future technologies.

Our large-scale Food Science program, 'Proteins4Singapore,' funded by Singapore's National Research Foundation (NRF), is a collaborative effort between the Technical University Munich (TUM), Nanyang Technological University (NTU), the Singapore Institute of Technology (SIT), and A*STAR's Singapore Institute of Food and Biotechnology Innovation (SIFBI). As part of the Proteins4Singapore team, you will work alongside renowned scientists in food chemistry, metabolomics, sensory science, plant protein processing, and systems biology. Through interdisciplinary collaboration, the program aims to develop state-of-the-art methods and techniques to ensure a sustainable protein supply for highly urbanized environments.

Please visit for more information about TUMCREATE.

Job Summary

We are looking for a Research Assistant or Intern to support a clinical trial evaluating novel food-based nutritional interventions. The opportunity is ideal for students or recent graduates interested in clinical nutrition, biomedical research or translational food science. You will be involved in material preparation, data collection, reporting, and participant coordination, as well as supporting in vitro digestion experimentsthat help explore the mechanisms behind the intervention. The role gives an introduction to how clinical trials are designed, conducted and monitored, while also allowing you to get laboratory experience. Full training and supervision will be provided. The internship start date is flexible based on the candidate's availability.

Time Commitment

This internship is for a minimum period of 3 months. You can either work full-time or part-time basis with a minimum of 16 hours per week. We require 1 intern. The internship is expected to begin in October 2025, with the exact timing to be agreed based on the candidate's availability.

Key Responsibilities

• Support the preparation and organisation of materials and documents for the clinical trial
• Assist with data collection, sample tracking, and accurate documentation
• Support in vitro digestion experiments simulating gastrointestinal processes
• Maintain clear records of all activities in accordance with clinical and lab protocols
• Ensure compliance with good clinical practice (GCP), safety, and laboratory guidelines

Job Qualifications

• Recent graduates or current BSc or MSc student in Nutrition, Biomedical Sciences, Food Science, Biology, or a related field
• Interest in clinical studies, human health, and experimental nutrition
• Prior lab experience or exposure to clinical/laboratory environments is an advantage
• Strong organisational skills and attention to detail
• Ability to follow protocols accurately and document work consistently
• Previous experience with in-vitro digestion or nutrition intervention studies is a plus

What we offer

• First-hand experience in the execution of a clinical trial
• Exposure to both clinical and lab-based research workflows
• A collaborative, multidisciplinary research environment
• Opportunity to contribute to research with real-life impact on health and nutrition

Applications

Please send your complete application, including cover letter (compulsory), CV and university transcripts to

Only shortlisted candidates will be contacted.

We look forward to your application

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

The Centre for Technology, Robotics, Artificial Intelligence and the Law (TRAIL) was launched on 5 December 2019. Its focus is to inform the debate on the legal, ethical, policy, philosophical and regulatory questions associated with the use and development of information technology (IT), artificial intelligence (AI), data analytics and robotics, in the context of the Fourth Industrial Revolution, through contributions by way of original thinking, research, writing and publications; and to collaborate with like-minded research centres around the world to further inter-disciplinary research in, and the development of, possible guidelines, standards, and solutions to the legal, ethical, policy, philosophical and regulatory issues associated with the development and application of IT, AI, data analytics and robotics in key industries.

BENEFITS

1. An opportunity to address cutting-edge legal issues through the application of machine learning research and to collaborate with leading experts in Singapore and internationally.

2. One-year contract position, with the possibility of renewal based on performance and funding availability.

3. Competitive remuneration package, commensurate with qualifications and experience.

4. Eligibility to apply for TRAIL research and conference funding to support attendance at academic conferences and pursue independent research under the supervision of the Principal Investigator.

5. Dedicated workstation and access to TRAIL facilities and resources.

DUTIES

Reporting to the Principal Investigator, you will play a key role in research initiatives involving foundational LLMs. Your responsibilities include:

• Conducting research for and collaborating on funded research projects involving foundational LLMs, including identifying, evaluating, and developing relevant technologies and resources.

• Collecting, normalising, and creating datasets, as well as training LLMs.

• Analysing and interpreting LLM results, evaluating model performance and recommending methods for improvement.

• Collaborating with legal and computing researchers on interdisciplinary projects.

You are expected to be in residence for the duration of your appointment, in line with standard NUS annual leave provisions. Flexible or remote work arrangements may be considered, provided baseline on-site work requirements are met to ensure effective collaboration and team cohesion.

REQUIREMENTS

• Bachelors or Masters in Computer Science, Machine Learning, Artificial Intelligence or Computational Linguistics, with a strong knowledge of statistics, machine learning and optimisation.

• Good to excellent command of English (oral and written), with additional language proficiency being an advantage.

• Familiarity with modern LLM architectures (transformer encoder, decoder and encoder-decoder models).

• Experience handling large datasets, with strong structured and unstructured database management skills.

• Knowledge of LLM evaluation methods, metrics, inference processes and deployment setups.

• Proficiency in Python, with additional skills in Regex, C++ and JavaScript a bonus.

• Proficiency with Python-based neural network frameworks, especially PyTorch, and training LLMs on parallelised Nvidia architectures.

• Strong interpersonal and communication skills, with the ability to work collaboratively in a team.

• Self-motivated, organised, detail-oriented and be able to work independently to meet deadlines.

Research Assistant

An appointment as a Research Assistant may be offered to an applicant who has a Bachelor's degree.

APPLICATION PROCEDURE

Interested applicants are invited to apply and submit their applications directly at our NUS Career Portal. These must comprise:

1. Covering Letter

This should, inter alia, explain the reason(s) for your interest in the position.

2. Curriculum Vitae

A curriculum vitae should be submitted containing complete and detailed information on your academic institutions, honours, awards, all publications to date, and all academic, research and professional experience (current and previous, including dates of employment and job descriptions).

3. Submission of Application Materials

Interested applicants are invited to apply and submit their applications directly from NUS Career portal.

4. Closing Date

The closing date for the receipt of applications and references is Monday, 20 October 2025. Late applications cannot be considered.

5. Shortlisting and Interview

Only shortlisted applicants will be contacted concerning the status of their application.

About SUTD

SUTD is the world's first Design AI university. With Design AI, artificial intelligence is treated as a partner and a member of the team – not just a tool. As a result of this unique SUTD treatment, AI and humans brainstorm, spar and prototype together, resulting in solutions that are elevated several-fold. This human-AI team concept has been made possible because of SUTD's unique cohort-based interdisciplinary pedagogy. As a trailblazer in the field of design and technology education and research, SUTD has been pioneering innovative programmes and initiatives since its formation 16 years ago. As part its new mid-term growth strategy called SUTD Leap, it will work closely with industry to co-create solutions in both education and research – for a better world.

Job Description

We are seeking a Research Assistant with a strong background in computer vision and machine learning. The successful candidate will support research and development activities on deep learning models for vision-related tasks.

Responsibilities:

• Conduct research and experiments in computer vision and machine learning.
• Implement and evaluate deep learning models.
• Contribute to technical documentation and research publications.

Qualifcations & Experience:

• Bachelor's or Master's degree in Computer Science, Electrical Engineering, or a related field.
• Research experience in computer vision or machine learning.
• Proficiency in deep learning frameworks.
• Strong programming skills.
• Experience with large-scale datasets and GPU-based training is highly advantageous.
• Prior involvement in academic or industry research projects is highly advantageous.

The Signature Research Programme in Emerging Infectious Diseases (EID) aims to pioneer the development and discovery of new and more effective methods for the treatment, prevention and control of new and emerging pathogens. The key outcome of the research will be the early identification of new pathogens, out of which new diagnostic tests, treatments and control strategies will be developed.

The candidate is expected to perform a variety of research under the supervision of the Principal Investigator or his designate. The main duties and responsibilities will include but not limited to the following: -

• Perform tasks and support all aspects of the research project.
• Conduct accurate monitoring, documenting, and reporting of experimental results and/or research findings.
• Assist researchers in programming, data analysis and literature review in various research projects.
• Evaluate and interpret collected data and prepare oral presentations or written reports/ scientific manuscripts/literature for publication.
• Contribute to project management, presentations, and publications of research work, including occasional laboratory demonstrations where applicable.
• Perform other related duties incidental to the work described therein.

Job Requirements

• Bachelor's Degree in Life Sciences, Biology, Biotechnology or other related disciplines with at least 1 year of relevant experience in handling mice and performing mouse experiments.
• Prior working experience in the areas of immunology or aging is preferred but not necessary.
• Demonstrate good knowledge, skills and expertise in supporting various research activities.
• Possesses strong organizational and interpersonal communication skills, with excellent written, verbal, and computer proficiency.
• A 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 Career Portal

Your application will be processed only if you apply via NUS Career Portal

We regret that only shortlisted candidates will be notified.

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

Research Assistant

We are looking for research assistants with a quantitative background for ongoing research in Public Health.

They will be working within the team under the Principal Investigator Assistant Professor Borame Dickens alongside multiple collaborators and experts.

Methods include agent based/individual based modelling, SEIR modelling, geospatial statistics, Bayesian statistics, burden mapping, measuring the impact of the environment on disease among others. The PI has projects in both infectious and chronic disease, measuring the impact of interventions.

Candidates need to be able to understand statistical modelling, have a mathematical background, and be fluent in R programming. We will also consider candidates who have extensive C++ or Python coding knowledge as these are transferrable to R.

The candidate will be working with the Principal Investigator(s) on the analysis of national health datasets, utilising an array of methods to infer statistical relationships and health outcomes. Further mathematical modelling will also be carried out when necessary involving diagnostic flows and where appropriate, disease spread and/or illness progression.

The Principal Investigator(s) is seeking for an independent worker who is well-organized, analytical and codes competently. They will however be receiving support from a team of mathematicians, epidemiologists and statisticians, and have a diverse portfolio of tasks. Under the team's guidance, they will be expected to co-lead their own publications.

We welcome academic creativity and will be highly supportive of candidates who wish to either pursue academia or desire for career progression provided they show self-motivation to showcase their problem-solving abilities.

Responsibilities:

• Disease modelling
• Statistical analyses
• Academic writing and publication of results
• Preparation of meeting materials for stakeholders

Requirements:

• Completed a BSc in a quantitative discipline (statistics, mathematics, computational biology, data science).
• Strong programming skills (R preferred)
• Statistical competence (Bayesian is advantageous)

Please email the PI at for further details.