Total 1,803 science rd research job vacancies

Job Overview

Joining the Fuller Impact team, you will be part of the pioneer team and play a key role in increasing the access to sustainability and ESG regionally. You will help design and implement sustainability and ESG strategies while contributing to Fuller Impact’s growth and long-term success.

We are in search of a passionate Sustainability Research Intern with a proactive and growth mindset approach.

Key Responsibilities

1. Sustainability & ESG Research

• Conduct research on sustainability trends, global frameworks (e.g., GRI, TCFD, ISSB), and relevant regulations to support Fuller Impact’s programmes and strategic initiatives.

2. Competitor & Market Analysis

• Benchmark sustainability tools, platforms, and services to identify gaps, opportunities, and innovation pathways aligned with Fuller Impact’s mission.

3. User & Stakeholder Research Support

• Assist in developing and analysing surveys, interviews, and user feedback for programme design and strategic decision-making.

4. Data & Framework Mapping

• Support the organisation and alignment of ESG indicators, metrics, and categories with recognised sustainability standards.

5. Content & Knowledge Development

• Contribute to the creation of knowledge assets such as glossaries, toolkits, guidance documents, training materials, and communication content.

6. Policy & Market Monitoring

• Track sustainability-related policy updates and market developments across regions, summarising insights for internal use.

7. Documentation & Presentation Support

• Assist in preparing internal briefs, research summaries, and presentation materials for stakeholders and project partners.

8. Stakeholder Engagement

• Support relationship-building with internal and external stakeholders to ensure effective collaboration and impactful outcomes.

9. Special Projects

• Support ad hoc initiatives across Fuller Academy and Fuller Solutions, including research, content development, and strategic innovation.

Requirements

● A final year student or recent graduate with a passion for sustainability and research.

● Able to commit to a minimum of 3 months.

● Business-level written and verbal communication skills, strong analytical and creative problem solving abilities.

● Excellent interpersonal skills, organizational, and operational skills.

● Strong attention to detail and ability to work independently.

Perks & Benefits

• Employee equity
• Nearby public transport
• Flexible working hours
• Free snacks / Happy hours
• Personal leave
• Open culture
• Personal development opportunities
• Remote work flexibility

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

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28Computer-Science%29/33203-en_GB/?st=148CE054359BE2C7B80B2B9D9F4D62543197147D

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 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 be responsible for working closely with the Principal Investigator on one or more research projects. In particular, the research fellow is going to conduct research in areas of efficient AI, multimodal understanding, vision and robotics.

Only shortlisted applicants will be notified.

Job Requirements

• Ph.D. in Computer Science or a closely related field
• Excellent research skills, including data analysis, interpretation, and scientific writing
• Good publication record
• Strong communication and collaboration skills
• Ability to work independently and manage multiple tasks effectively

Job Details

Location: Kent Ridge

Working Hours: Mon-Fri, Office Hour

Work Type: 3-Month Contract

Salary: Up to $ 4,000 per month

Our client is seeking a dedicated Temporary Research Officer to support multidisciplinary projects in the area of child health and early-life development. The research focuses on the epidemiology of diseases in children and the impact of the exposome during the early developmental phases of life on early life outcomes. Majority of the work is based in the birth cohorts Growing Up in Singapore Towards healthy Outcomes and Singapore Preconception Study of Long-Term Maternal and Child Outcomes. The selected candidate will be involved in microbiome and statistical data analysis.

What you will be working on?

The ideal candidate will be involved in microbiome research, statistical analysis, and contributing to the production of scientific outputs.

• Perform statistical data analysis, including microbiome datasets
• Conduct literature reviews to support ongoing research
• Assist in the development of scientific papers and dissemination of research findings
• Provide administrative and operational support for research activities

What are we looking for?

• Singaporean only
• Bachelor’s Degree in Biomedical Science or relevant discipline
• Knowledge of microbiome and statistical analysis (e.g. R and SPSS) is advantageous
• Prior research experience is advantageous
• Highly motivated and able to work independently

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All applications will be processed with strict confidence. Only shortlisted candidates will be contacted.

Carmen Tan Huei Mun | R23115837

ScienTec Consulting Pte Ltd (ScienTec Personnel) |11C5781

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

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

The candidate will work in Prof Ong’s Research Group, where cutting-edge research is carried out on a wide range of topics ranging across programming language (especially Bayesian statistical probabilistic programming), statistical machine learning, generative AI, and AI Safety.

Key Responsibilities:

• Manage own academic research and administrative activities. This involves small scale project management, to co-ordinate multiple aspects of work to meet deadlines.

• Carry out original research, including adapting existing and developing new mathematical models, scientific techniques and experimental protocols, and building software tools and carrying out empirical studies where appropriate.

• Write, publish and disseminate results, including give research presentations at meetings.

• Contribute and develop ideas for new research projects and for generating research income, and present detailed research proposals to senior researchers

• Act as a source of information and advice to other members of the group on scientific protocols and experimental techniques.

• Represent the research group at external meetings / seminars, either with other members of the group or alone.

• Assist the PI in mentoring, supervising and coordinating the activities of junior researchers and students of the research project.

• Assist the PI in research collaboration and coordinating activities with project partners and collaborators from other institutions.

• Work with industry and government partners to understand their research needs and formulate solutions.

• Contribute to outreach, communications and reporting as required to funders and stakeholders. Represent the research group at external meetings/seminars, either with other members of the group or alone.

• Help organise and actively participate in regular meetings and seminars within the group.

• Assist in raising research funds through grant applications.

• The postholder may have the opportunity to teach. This may include lecturing, small-group teaching, and tutoring of undergraduates and graduate students.

Job Requirements:

Essential Criteria

• Candidates must have a PhD (or be near completion) in Computer Science or Mathematics or Statistics with a strong background in one or more of the following: AI, machine learning, Bayesian statistics, programming languages, logic and algorithms, formal methods, probability and measure theory.

• For senior research fellow role, candidates must hold a relevant PhD with significant track record of research excellence and substantial research leadership experience.

• Strong publication record and familiarity with the existing literature and research in the field of statistical machine learning, and deep learning or large language models.

• Possess sufficient specialist knowledge, research skills and interests in statistical machine learning, and deep learning or large language models to work within established research programmes and contribute ideas and solutions.

• Ability to independently plan and manage a research project, including a research budget.

• Possess strong collaboration abilities in person, on paper and over electronic channels.

• Excellent communication skills, including the ability to write for publication, present research proposals and results, and represent the research group at meetings.

Desirable Criteria

• Experience of supervising staff.

• Experience of managing a research budget.

• Ability to raise research funds through making grant applications.

We regret that only shortlisted candidates will be notified.

The Climate Transformation Programme (CTP) aims to develop, inspire and accelerate knowledge-based solutions and educate future leaders to establish the stable climate and environment necessary for resilient, just, and sustainable Southeast Asian societies.

CTP will generate knowledge and innovation across disciplines including climate and Earth science, ecology, materials science, artificial intelligence, humanities, social sciences and the arts, finance, health, and engineering. It will also translate state-of-the-art scientific results into real world solutions for Singapore, and it will transfer these solutions to Southeast Asia (SEA) and beyond.

As part of this programme, Cluster 5 Climate and finance markets will measure and price climate risk in financial markets, design innovative risk financing solutions to climate change, and quantify economic impact of climate policies.

The Research Fellow will be based in the Nanyang Business School and will contribute to interdisciplinary research under Cluster 5, with a particular emphasis on empirical analysis, AI-enabled data construction, and policy-relevant research outputs.

Duties and Responsibilities:

• Design, develop, and execute empirical research projects related to climate risk, financial markets, and climate policy, in alignment with the objectives of Cluster 5: Climate and Finance Markets under the Climate Transformation Programme.

• Construct, clean, and analyze large-scale datasets combining financial, environmental, and policy information, including both structured and unstructured data sources.

• Apply artificial intelligence and large language model (LLM) tools to extract, structure, and analyze information from unstructured sources such as corporate disclosures, regulatory filings, policy documents, and project-level reports.

• Develop and maintain retrieval-augmented generation (RAG) pipelines and related AI-enabled research workflows to support dataset construction, empirical analysis, and evidence synthesis.

• Implement rigorous empirical and quantitative methods to measure and price climate-related risks in financial markets and to assess the economic and financial impacts of climate policies.

• Contribute to the preparation of academic manuscripts for submission to leading peer-reviewed journals, as well as policy-oriented reports and research outputs.

• Collaborate closely with faculty investigators, research staff, and interdisciplinary partners across the University and with external collaborators.

• Support project coordination activities, including documentation of research workflows, version control of code and data, and supervision or mentoring of research assistants where appropriate.

Key Competency and Qualifications Requirements:

• PhD (or PhD near completion) in Computer Science, Finance, Economics, or a related quantitative discipline.

• Strong training in quantitative, empirical, or computational research methods.

• Experience working with large-scale datasets, including unstructured text data.

• Familiarity with AI and large language model (LLM) tools; experience with retrieval-augmented generation (RAG) frameworks is an advantage.

• Strong programming skills (e.g., Python, R, or similar).

Interested applicants are invited to submit a full CV and cover letter in one document. Enquiries about this position can be made to Asst Prof Chen Zhimin.

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-AssistantAssociate-%28Food-Science-&-Technology%29/33173-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Professor Zhou Weibiao on nutritional profile analysis and in vitro digestion of food materials under a project on alternative proteins, funded by the Singapore Food Story R&D Programme 2.0.

The main responsibilities of the position include:
The candidate shall join a multidisciplinary team at NUS to support the development of plant-based meat products with improved digestibility, nutritional quality, and functionality. This position will focus on establishing an advanced in vitro digestion approach to evaluate protein digestibility and conduct comprehensive nutritional profile analysis of alternative protein products.

In addition, he/she will help supervise final year undergraduate projects.

Qualifications

• Qualifications / Discipline:
B.Sc. (for Research Assistant appointment) or M.Sc. (for Research Associate appointment) in Food Science, Food Technology, or a closely related field from an internationally reputable university

• Skills:
Strong wet laboratory and analytical skills
Demonstrated capability of independent researcher
Good team player
Good scientific writing skills

• Experience:  

Research experience with good track record, including:
(1) hands-on experience in food analysis,
(2) lab safety and maintenance, 
(3) report preparation,
(4) working experience in a cross-disciplinary team.

Working experience with antinutrients analysis and/or in vitro digestion is highly desirable.

This position is only open to Singaporeans and Singapore Permanent Residents. 

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-%28Qualitative-Research%29/27411-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

About the Centre for Research in Health Systems Performance (CRiHSP)

Optimizing the performance of health systems is essential to ensuring the wellbeing and longevity of populations worldwide. Singapore is particularly well placed to lead research in this field as its health system has been consistently ranked as one of the best in the world based in independent evaluation with the Global Burden of Disease data. The Centre for Research in Health Systems Performance (CRiHSP) aims to advance research in this area within the Yong Loo Lin School of Medicine of the National University of Singapore (NUS) as the leading centre for research in health systems in Asia with the following core functions:

1. Research: empirical and methodological research and evidence synthesis on health systems performance with a particular focus on Value Based Healthcare.
2. Health policy intelligence: health policy impact analysis aimed at policy makers, service providers, researchers, and the wider public.
3. Capacity building: formal postgraduate programme (from certificates to PhD), fellowships,  mentoring, on-the- job and ad hoc training
4. Contributing to improving NUHS performance: expert advice on the development, implementation, and evaluation of flagship initiatives (including Healthier SG) aimed at making step changes in NUHS performance, and programme evaluation

The multidisciplinary team of researchers in health systems (health services and policy researchers, data scientists, social scientists, and others), and administrators working in CRiHSP will provide an exciting and dynamic place in which people of diverse backgrounds collaborate towards the common goal of achieving excellence in Health Systems Research. The team will further benefit from a significant expansion in related fields and collaborations with the Department of Family Medicine at the National University Health System (NUHS), the new Centre for Sustainable Medicine (CoSM) and the Centre for Behavioural and Implementation Sciences Interventions (BISI) at the School of Medicine and the Saw Swee Hock School of Public Health.

About the role

The Research Associate will have the following duties:

• Contribution to the management of research activities including grant and IRB/DSRB applications, budgeting, planning and monitoring project timelines and generally support project management and coordination and liaising with internal and external stakeholders

• Conduct literature reviews, including collation and synthesis of the literature

• Support the design, data collection, analysis and interpretation of qualitative interviews and focus groups

• Contribute to and lead (where appropriate) protocol, manuscript and report timely writing, editing and submission. 
• Present work for feedback and dissemination at workshops or conferences locally and/or internationally

The post holder will be expected to be flexible in their role as the CRiHSP´s capacity evolves.

NUS offers highly competitive remuneration packages. The successful applicant will be offered an annual salary plus benefits commensurate with his or her qualifications, experience and expertise and may have access to travel support to disseminate research outcomes at international academic conferences.

The position is full-time for 1 year in the first instance, depending on project commitments and candidate’s career objectives.

Job Responsibilities

The Research Associate will have the following duties:

• Contribution to the management of research activities including grant and IRB/DSRB applications, budgeting, planning and monitoring project timelines and generally support project management and coordination and liaising with internal and external stakeholders
• Conduct literature reviews, including collation and synthesis of the literature
• Support the design, data collection, analysis and interpretation of qualitative interviews and focus groups
• Contribute to and lead (where appropriate) protocol, manuscript and report timely writing, editing and submission. 
• Present work for feedback and dissemination at workshops or conferences locally and/or internationally

The post holder will be expected to be flexible in their role as the CRiHSP´s capacity evolves.

NUS offers highly competitive remuneration packages. The successful applicant will be offered an annual salary plus benefits commensurate with his or her qualifications, experience and expertise and may have access to travel support to disseminate research outcomes at international academic conferences.

The position is full-time for 1 year in the first instance, depending on project commitments and candidate’s career objectives.

Qualifications

About you

Applicants will be evaluated based on the following selection criteria:

Qualifications

• Masters in Life Sciences, Health & Social Sciences

Experience

• Experience in planning, managing and implementing healthcare-related research projects, from conception to completion, in a University setting (essential)

• • Demonstrated experience in using a range qualitative research methods (essential)
  • Track record of publishing in international peer-reviewed journals (desirable)
  • Researchers with existing research activities related to Value Based Health Care, patient reported outcomes or patient reported experiences of care are particularly encouraged to apply

Skills and Personal Attributes:

• • Strong communication skills in English, both written and spoken (essential)
  • Ability to work independently and as part of a multidisciplinary team (essential)
  • Highly developed problem-solving skills and adept at managing complex problems (essential)
  • Outcome-orientation with excellent organizational and project management skills, and attention to detail (essential)
  • Ability to work with culturally diverse populations (essential)

Interested candidates should submit a detailed CV (personal particulars, academic and employment history, full list of publications, contacts details of three (3) referees) and cover letter outlining their motivation and suitability for the project addressing each of the criteria outlined above to this job portal. Only shortlisted candidates will be notified. Applications will be considered on a rolling basis until a suitable candidate is found.

The application should include a CV and a cover letter that describes the applicant’s specific interest in joining the team. Only shortlisted candidates will be contacted.

Informal enquiries can be made to Prof Jose M Valderas at jmvalderas@nus.edu.sg.

Skills

Skills and Personal Attributes:

• • Strong communication skills in English, both written and spoken (essential)
  • Ability to work independently and as part of a multidisciplinary team (essential)
  • Highly developed problem-solving skills and adept at managing complex problems (essential)
  • Outcome-orientation with excellent organizational and project management skills, and attention to detail (essential)
  • Ability to work with culturally diverse populations (essential)

Interested candidates should submit a detailed CV (personal particulars, academic and employment history, full list of publications, contacts details of three (3) referees) and cover letter outlining their motivation and suitability for the project addressing each of the criteria outlined above to this job portal. Only shortlisted candidates will be notified. Applications will be considered on a rolling basis until a suitable candidate is found.

The application should include a CV and a cover letter that describes the applicant’s specific interest in joining the team. Only shortlisted candidates will be contacted.

Informal enquiries can be made to Prof Jose M Valderas at jmvalderas@nus.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/Senior-Research-Scientist-%28Cancer-Science-Institute%2C-Prof-Ashok's-Lab%29/33179-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

Duties & Responsibilities

•    Participate, coordinate, planning and executing research programme  
•    Supervising team of up to 5 researchers
•    Manage project deadlines, reporting and presentations internally and to external stakeholders

Requirements

• PhD with 3 years’ relevant post-doctoral experience
• Possess a strong track record of research achievement evidenced by high-quality publications in a relevant field
• Have a high-level experience in hands-on use of a wide range of relevant research methods including molecular and cell biology, somatic cell genetics, protein & nucleic acid biochemistry, advanced fluorescence microscopy and flow cytometry
• Able to work independently and creatively to solve experimental problems
• Have an effective communication and presentation skills, with experience in communicating scientific work including scientific papers, presentations and reports

Interested applicants are invited to apply directly at the US 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-%28Department-of-Materials-Science-and-Engineering%29/33183-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

Perform research in neuromorphic computing devices.

Qualifications

The successful candidate should possess the following:
•    A PhD in Materials Science, Chemical Engineering, Chemistry, Physics, or related fields
•    Highly motivated, committed, and capable of working independently as well as collaboratively
•    Strong publication record in peer-reviewed journals
•    Good communication skills in English (both written and oral)
•    Prior experiences with the following will be a plus
•    Optical instrumentation, single-molecule/ super-resolution microscopy, magnetic/optical tweezers, ultrafast spectroscopy, or other in-situ operando imaging tools
•    Machine learning for materials discovery or quantitative image analysis, DFT calculations for catalyst design, experiences with MATLAB / Python / AutoCAD / COMSOL
•    Organic synthesis, polymer chemistry, synthesis of inorganic nanomaterials, micro/nano-fabrications, genetic engineering of microorganisms
•    Techno-economic analysis of sustainability technologies

For postdoctoral fellows, compensation and benefits package will be internationally competitive (including annual base salary, performance-based bonus, medical insurance and vacation leave), and will be commensurate with experiences and qualifications. 

Interested candidates are encouraged to email a copy of CV (with a list of publications), reprints of three selected publications, as well as contact information of 2-3 references to the NUS Career Portal.

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

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

Key Responsibilities:

• Read, understand, and summarize the latest literature on diffusion models, especially their use in sampling from un-normalized probability distributions

• Read, understand, and summarize the latest literature on inference in state-space models with particle filters

• Devise, implement, and inspect theoretical properties of new methods for inference using diffusion models

• Publish results in reputable international journals and conferences

• Present results and establish new research networks at reputable international conferences

• Participate in internal events (reading groups, seminars, etc.) as required

Job Requirements:

• Preferably Master’s degree in Computer Engineering, Computer Science, Electronics Engineering or equivalent.

• Independent, highly analytical, proactive and a team player

• Excellent teamwork and verbal, written communication skills

• In-depth knowledge relevant to the project domain.

• Demonstrated capability to conduct innovative research.

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

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

• Ability to design and implement new experimental methods.

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

• Ability to initiate collaboration research in multidisciplinary team.

• Oversee and report project progress.

• Ability and willingness to work some flexible hours.

We regret that only shortlisted candidates will be notified.

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-%28Department-of-Materials-Science-and-Engineering%29/33184-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

Perform research in high-throughput operando imaging

Qualifications

The successful candidate should possess the following:
•    A PhD in Materials Science, Chemical Engineering, Chemistry, Physics, or related fields
•    Highly motivated, committed, and capable of working independently as well as collaboratively
•    Strong publication record in peer-reviewed journals
•    Good communication skills in English (both written and oral)
•    Prior experiences with the following will be a plus
•    Optical instrumentation, single-molecule/ super-resolution microscopy, magnetic/optical tweezers, ultrafast spectroscopy, or other in-situ operando imaging tools
•    Machine learning for materials discovery or quantitative image analysis, DFT calculations for catalyst design, experiences with MATLAB / Python / AutoCAD / COMSOL
•    Organic synthesis, polymer chemistry, synthesis of inorganic nanomaterials, micro/nano-fabrications, genetic engineering of microorganisms
•    Techno-economic analysis of sustainability technologies

For postdoctoral fellows, compensation and benefits package will be internationally competitive (including annual base salary, performance-based bonus, medical insurance and vacation leave), and will be commensurate with experiences and qualifications. 

Interested candidates are encouraged to email a copy of CV (with a list of publications), reprints of three selected publications, as well as contact information of 2-3 references to the NUS Career Portal.

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

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

Key Responsibilities:

• Conduct independent and collaborative research on 3D reconstruction and generation, 3D digital human modeling, and video synthesis/editing.

• Publish research outcomes in top-tier journals and conferences.

• Mentor and supervise junior researchers and interns involved in related projects.

• Collaborate with industrial and academic partners.

• Perform any other duties related to the research program.

Job Requirements:

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

• Independent, highly analytical, proactive and a team player

• Excellent teamwork and verbal, written communication skills

• In-depth knowledge relevant to 3D reconstruction, digital human modeling, and video generation.

• Demonstrated capability to conduct innovative research.

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

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

• Ability to design and implement new experimental methods.

• High-level expertise in 3D reconstruction, digital human modeling, or video generation methods.

• Ability to initiate collaboration research in multidisciplinary team.

• Oversee and report project progress.

• Ability and willingness to work some flexible hours.

We regret that only shortlisted candidates will be notified.

Company Overview / Employee Value Proposition

Curio is an online tuition agency founded by experienced educators in Singapore. We offer tutors a fair commission model and use technology to connect tutors with students, supporting accessible, effective learning while reducing environmental impact.

Job Summary

Unlike other tuition agencies which take a full 50% commission of your first month's earnings, Curio only takes 25% (your first lesson) with no hidden/additional fees. Join Curio as a tutor and benefit from a low 25% commission fee, with all earnings from the second lesson onward paid fully to you. We provide job postings via Telegram and support tutors with respect and transparency.

Responsibilities

• Deliver tutoring sessions that meet students’ academic needs and learning goals
• Communicate effectively with students and parents to track progress and adjust teaching methods
• Use Curio’s platform and Telegram channel to receive and manage job postings efficiently
• Maintain professionalism and reliability in scheduling and conducting lessons
• Uphold Curio’s values of respect for tutors’ work and commitment to quality education
  
• Step 1: Register free at curio.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-Assistant-%28Operations-Research-&-Analytics%29/33202-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are seeking a Research Assistant to support research in machine learning and operations research, with a focus on multi-agent reinforcement learning and stochastic inventory control.

Responsibilities

• Conduct research on multi-agent reinforcement learning.
• Complete both the queueing version and the general version of the research project.
• Support the completion and submission of a paper on stochastic inventory control with latent queues.
• Perform mathematical analysis, programming, simulation, and model development as needed.
• Collaborate with team members on research design, implementation, and writing.
• Contribute to preparing research outputs, including reports, presentations, and manuscripts.

Qualifications

• A completed bachelor’s degree in management science, business, computer science, industrial engineering, or a related field.
• Evidence of the ability to conduct high-quality research.
• Strong background in mathematics and programming.
• Strong problem-solving skills.
• Ability to work effectively in a collaborative team environment.
• Excellent communication skills.

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

The Office of Patient Engagement (OPEN) at LKCMedicine is a dedicated Centre in Lee Kong Chian School of Medicine that integrates patient and public voices into health research and medical education, ensuring research is shaped with those who have lived experience. OPEN supports researchers and educators to embed meaningful patient and public involvement (PPI) across the research lifecycle and engages with a diverse patient partner network that collaborates on research, education, and engagement activities. Through training programmes for patient partners, researchers, clinicians, and educators, and a dedicated research programme, OPEN builds capability and fosters partnerships that strengthen the quality, relevance, and impact of health research and education, contributing to broader efforts to improve healthcare through evidence generation.

For more details, please view https://www.ntu.edu.sg/medicine/research/office-of-patient-engagement-(open). 

We are looking for a  Research Fellow or Senior Research Fellow to support the design and delivery of a structured patient and public involvement (PPI) programme for National Precision Medicine (NPM) Phase 3, in partnership with PRECISE and LKCMedicine. It contributes to building patient and public partner capability and coordinating engagement and co‑design activities that integrate patient and public perspectives into research recruitment, consent, communications, and return‑of‑results processes. Through this work, the role helps strengthen the relevance, quality, and impact of large‑scale precision medicine research.

Key Responsibilities:

• Contribute to design, data collection, analysis and interpretation of qualitative and co-design studies

• Project management of program of work, ensuring study deliverables, reports and publications are completed punctually according to study and fundingt timelines

• Perform literature searches, scoping reviews and scientific writing in the form of grants, manuscripts, reports, reviews, abstracts, posters and oral presentations

• Assist in communications with institutional review board staff regarding ethics applications, amendments, and reports

• Establish and maintain close communication with all stakeholders and study team

• Ensure all work processes meet the ethical standards of the University, Singapore Good Clinical Practice Guidelines and other applicable regulatory and ethical requirements

Job Requirements:

• PhD  degree in health services research, primary care, population health, implementation science, patient and public involvement, medical humanities, social science or related field

• At least 5 years of relevant experiences in a similar role

• Excellent written and oral communication skills, including competence in workshop and focus group facilitation, and ability to publish in high impact journals and present at local and international conferences.

• Proficiency in qualitative research, co-design, and use of related software e.g. Microsoft Suite, NVivo

• Ability to work independently, with excellent organizational and time management skills, and ability to work well within a multidisciplinary team.

• Strong leadership skills, as demonstrated by:

• Ability to build rapport and influence stakeholders at all levels

• Ability to work collaboratively in a fast-paced environment.

• Current international leadership in Asia Pacific region, or ability to generate strong networks in the Asia Pacific region.