Total 5,928 research associate job vacancies

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together - building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities - all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

• This position is for Centre for Research on Successful Ageing (ROSA).
• Research and Publications
  • Assist with quantitative data analysis, survey design and research support for research briefs and academic journals.
  • Contribute to research collaborations with government ministries and agencies.
  • Publication of academic papers (co-authoring alongside researchers in economics / sociology / psychology/ data science)
• External Engagements
  • Handle requests for information from researchers and other interested parties related to the panel.
  • Assist with the reports and presentation decks for external audiences and stakeholders.
  • Engage in outreach activities, including:
    • Organising symposiums, workshops, seminars, roundtables andconferences;
    • Community outreach programs;
    • International research collaborations;
    • Fundraisingactivities with private and government organisations.
  • Depending on their abilities and preferences, this person also may represent the Centre externally,whether in the media, professional organisations, government or other forums.
• Other ad-hoc administrative duties as required by the Centre.

• Bachelor's degree (for research assistant) and Master's degree (for research associate).
• Background in economics or social sciences preferred.
• Advanced user of Microsoft Office Suite (Word, Excel, Powerpoint).
• Well-trained in research methods.
• Quantitatively trained, with experience of STATA or SPSS.
• Detail-oriented with exacting standards to maintain accuracy and impartiality in all work products.
• Ability to work independently to carry out special projects from start to finish.
• Ability to balance numerous tasks simultaneously and is organised.
• Clear capacity to train and develop skills in coworkers.
• Ability to work cohesively and effectively in a team setting and take a leadership role in managing the work of colleagues when needed.
• Editorial judgment and proven ability to communicate research methodology and survey results clearly andconcisely in the Centre's style in both verbal and written form.
• Interest in expanding skills to cover new analytical tools and methods.

#LI-XL1

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%2C-School-of-Computing/33148-en_GB/?st=4D32C2E2C9D9B1339FC58AD6E6838C4B0DAC85E1

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for the position of Research Associate 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, 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 Research Assistant will be responsible for working closely with the Principal Investigator 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:

•    Artificial Intelligence and Machine Learning
•    Computer Vision
•    Algorithms
•    Circuits and Systems
•    Programming Languages & Software Engineering

Only shortlisted candidates will be notified. 

Job Requirements

• A Bachelor’s degree with Honours in a relevant area; and
• Experience in research

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-%28QC-Analytical-Chemist%29/28267-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for Research Assistant/ Research Associate (QC Analytical Chemist) in the Department of Clinical Imaging Research Centre (CIRC) Yong Loo Lin School of Medicine. CIRC is a dedicated molecular imaging research centre. It is equipped with on-site capability for the preparation of PET radiopharmaceuticals in a state-of-the-art GMP-certified facility. CIRC is positioned to support both academic and commercially led clinical research programs, with dedicated clinical imaging facilities area advanced modalities of PET-CT and PET-MRI. For more details on what we do, do visit https://medicine.nus.edu.sg/circ/. Appointments will be made on a two-years contract basis with the possibility of extension.

Purpose of the post

The QC Analytical Chemist will be responsible to, and work closely with Head of QC, to ensure the successful and safe release of radiopharmaceuticals manufactured at CIRC. The QC Analytical Chemist’s principal role will be to perform all quality control tests required by pharmacopeia. Alongside with maintaining the inventory of raw materials, maintenance of equipment and all the necessary documentation required for the QC laboratory in compliance to PIC/S GMP.

Main Duties and Responsibilities

The QC Analytical Chemist will be responsible for:

• Performing routine QC release testing (HPLC, GC, radioTLC etc) on radiopharmaceutical to ensure quality and safe for clinical use in compliance with PIC/S GMP requirements.
• Support routine QC operations such as daily equipment checks, monthly standard calibration, documentation activities.
• Conducting routine microbial testing activities such as microbial plate incubation, sterility testing, bioburden testing, etc and liaising with third party contractors if required.
• Managing raw materials, including inventory control, purchasing, receipt and status tracking of raw materials.
• Developing and validating QC test methods for the radiopharmaceutical QC release testing.
• Assisting in preparation and maintenance of Standard Operating Procedures (SOPs), Work Instructions (WIN), Recordsheets (REC), etc and fill in Batch Manufacturing Records (BMR).
• Supporting in the managing of equipment in the QC and Metabolite laboratories, including qualification, operation, maintenance, cleaning, calibration and re-qualification activities.
• Supporting Production in Research & Development activities when required.
• Maintaining cleanliness and housekeeping within QC laboratories, raw material storage areas, and the cyclotron facility.
• Handling chemical and biohazard waste disposal activities for QC department in accordance with safety and regulatory requirements.
• Adhering to the university’s safety and health policies and guidelines.
• Performing environmental monitoring activities in cleanroom facilities, including environmental and airborne particle sampling, when required
• Undergoing cross-training to support routine radiopharmaceutical manufacturing activities in Production, where necessary.
• Any adhoc duties assigned in support of departmental and operational needs

Physical Demands and Work Environment

Personnel should be comfortable with:

• exposure to radiation when handling radioactive samples.
• handling of chemicals for QC testing (flammables, acids, and bases).
• Handling chemical and biohazard waste
• Occasion lifting heavy objects such as lead shield containment (lead pots)
• Comfortable with routine and repetitive work
• Standard working hours with occasional overtime

Qualifications

The applicant should:

(a) Have a minimum of BSc degree in Chemistry, Biochemistry, pharmacy or a related field;

(b) Good knowledge and experience on GMP (Good Manufacturing Practice) or GLP (Good Laboratory Practice);

(c) Preferably hands-on experience with operating and maintaining analytical instruments such as HPLC, GC, and also aseptic isolator for sterility testing.

(d) Have good analytical processing skills, as well as,

(e) Have good critical thinking and proactiveness at work

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

Formal application: Please submit your application, indicating current/expected salary, supported by a detailed CV (including personal particulars, academic and employment history, complete list of publications/oral presentations and full contacts of three (3) referees to the NUS Career Portal.

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-Associate-%28MET-Product-Development-Timber-Engineering%29/33264-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The Department of Architecture, Department of Civil and Environmental Engineering, and Department of Built Environment are jointly conducting research on harnessing regional tropical timber/bamboo for sustainable and durable mass engineered timber (MET) products for the Tropics. We are looking for one candidate who can contribute in the following areas:

•    Prototyping and Adhesive Testing
•    Timber/Bamboo Grading and lamellar strength determination/classifications guidelines
•    Range of product sizes and configurations and their respective design data/properties for Glulam / CLT / Laminated Bamboo Lumber (LBL)
•    Factory production control and audit practices / requirements
•    Assist in technical studies on the different timber and non-timber /MET products
•    Assist in preparing manuscripts for academic journal articles, filing of patents and/or conference presentations.
•    Assist PI and Co-PIs in general administrative management of the research project.

Duration of Appointment:
Up to 2 years contract, with possibility of renewal.

Gross Monthly Salary Range:
Salary will be commensurate with the candidate’s qualification and experience.

Estimated no. of work hours per week:
42 h/week (Fulltime appointment)

Qualifications

Essential requirements:
- Qualified to Master level or higher degree in MET Product Development / Timber Engineering and/or related discipline.
- At least 2 years’ relevant work experience and good knowledge, skills and expertise in relevant field
- Demonstrated ability to conduct and publish high-quality research
- Strong analytical, writing, and communication skills in English, and able to produce clear reports/recommendations
- Strong project execution skills, including procurement/logistics coordination
- Experience with MET product development (min. 1 year).
- Excellent communication skills with diverse collaborators and specialists.
- Ability to work independently.

Added Advantage:
- Familiarity with Asia-Pacific forestry industries and/or tropical timber/bamboo species and markets
- Basic knowledge of Bahasa Malay, Bahasa Indonesia, Japanese or Chinese for communication with Asian foresters / manufacturers
- Proven experience engaging industry stakeholders to obtain data and information

Application deadline:
15th Jul. 2026 (Till the position filled).

Application
Please consolidate the following documents as one PDF document and email it to the NUS Career Portal. Kindly indicate “Application to Research Associate (MET Product Development / Timber Engineering)” in the email subject title
a)    Cover letter
b)    Curriculum Vitae (CV) including full publication list and last drawn salary
c)    Personal Statement (one page) about research interest, career goals, relevant experience and motivations for applying for this position, and
d)    Names and contact information of 3 references (PhD supervisor or collaborators are allowed)

Appreciate your understandings in advance that only selected qualified applicants will receive responses. Shortlisted candidates may also be asked to submit additional documents for our considerations, if necessary.

School of Electrical and Electronic Engineering is one of the founding Schools of the Nanyang Technological University. Built on a culture of excellence, the School is renowned for its high academic standards and research.  With over 3,000 undergraduates students and 1,000 graduate students it is one of the largest EEE schools in the world and ranks 4th in the field of Electrical & Electronic Engineering in the 2025 QS World University Rankings by Subjects. 

Today, the School has become one of the world’s largest engineering schools that nurtures competent engineers and researchers. Each year, the School graduates over a thousand students who are ready to take on great ambitions and challenges. 

For more details, please view: https://www.ntu.edu.sg/eee 

We are seeking a Research Associate in Autonomous Systems and Control to develop efficient, performance-guaranteed distributed control methods leveraging cutting-edge learning algorithms and AI techniques. The Research Associate is expected to conduct high-quality research, publish in leading journals, and contribute to pedagogical innovation research aimed at improving the learning experience in the Modelling and Control course

Key Responsibilities: 

• Conduct advanced research in autonomous systems, learning-based control, and pedagogical innovation for Modelling and Control.

• Develop and implement novel distributed control strategies for networked cyber-physical systems.

• Publish high-quality research findings in leading international journals.

• Prepare reports and related documentation for pedagogical innovation projects aimed at enhancing the learning experience in Modelling and Control. 

Job Requirements: 

• Master degree in Electrical Engineering, Computer Science, Mechanical Engineering, or other related fields. 

• Solid Mathematical and Programming skills. 

• Strong expertise in control theory. 

• Strong publication track record.   

• Self-Motivated and takes initiative  

• Independent and can work well with a team  

• Ability to adapt to changing priorities 

• Good written and oral communication skills. 

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

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

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.

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.

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-Centre-for-Sustainable-Medicine/27734-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

Climate change is the defining challenge of this century, and healthcare is both a victim of climate change and a major contributor to it. The Centre for Sustainable Medicine (CoSM) at the National University of Singapore works at the frontier of policy, clinical systems, and global health to accelerate the transition to low-carbon, climate-resilient health systems across Asia and worldwide.

Purpose of the Post

We invite applications from a dynamic, experienced professional to help advance CoSM’s research priorities and to strengthen the real-world uptake of the Centre’s work.

The postholder will work across the Centre’s major workstreams - including health system carbon analytics, clinical transformation, and capacity building - ensuring that research and technical evidence are synthesised, interpreted, and translated into decision-ready outputs for policymakers, health system leaders, clinicians, partners, and other stakeholders.

This is a cross-cutting role at the interface of research, policy, and implementation. The successful candidate will play a leading role in converting evidence into high-impact products, supporting policy feedback cycles, and strengthening lessons from implementation and stakeholder engagement to inform the Centre’s future research.

Key Responsibilities and Roles

1. Research synthesis, analysis, and translation

• Contribute to the development of research outputs, including reports, peer-reviewed publications, technical analyses, and policy papers.
• Support the analysis and interpretation of research findings from CoSM projects, including emissions baselines, adaptation and mitigation strategies, health system analytics, and education initiatives.
• Translate research outputs into clear and actionable products for policy and practice, including policy briefs, executive summaries, technical guidance, and knowledge products.
• Identify cross-cutting insights from CoSM’s body of work and shape coherent evidence narratives that communicate the Centre’s contribution to global sustainable healthcare transformation.
• Support the preparation of academic publications, including drafting sections of manuscripts, coordinating co-author inputs, and assisting with reference management and editorial processes.

1. Policy feedback and implementation learning

• Support the policy feedback cycle by gathering and synthesising insights from governments, delivery partners, clinicians, and other stakeholders on how evidence is being received, interpreted, and applied.
• Help ensure that lessons from implementation and engagement feed back into research framing, future analysis, and programme development.
• Facilitate structured dialogue between research teams and policy or practice stakeholders to strengthen the relevance, usability, and timing of CoSM outputs.
• Support the development and coordination of communities of practice across Asia-Pacific and globally, particularly in areas such as net zero healthcare, climate-resilient health systems, and health system decarbonisation.

1. Knowledge and evidence dissemination

• Support dissemination of research through regional and global platforms, including technical forums, convenings, policy roundtables, and academic or professional events.
• Prepare high-quality briefing materials, concept notes, slide decks, summary papers, and dissemination products for international events, multilateral engagements, and senior partner discussions.
• Develop accessible summaries and tailored synthesis materials for different stakeholder groups, including ministries of health, hospital leaders, clinicians, finance stakeholders, academic audiences, and learners.
• Support the strategic positioning of CoSM’s flagship initiatives by ensuring clarity, consistency, and strong evidence-based narratives across written, digital, and presentation materials.

Qualifications

Essential

• A Bachelor’s degree or Master’s degree in public health, health policy, health systems, environmental health, economics, social policy, or a related field.
• 3-8 years of experience in research, public policy, evidence synthesis, policy-facing roles, or related functions.
• Demonstrated ability to interpret and translate complex technical or research material into clear, structured, and compelling outputs for varied audiences.
• Strong analytical and writing skills, with excellent editorial judgement and the ability to distil evidence without oversimplifying it.
• Experience working with multidisciplinary teams and engaging senior stakeholders across research, policy, and implementation settings.
• Strong organisational skills and ability to manage multiple workstreams simultaneously.

Highly desirable

• Experience working with governments, multilateral organisations, or large health systems.
• Familiarity with climate, sustainability, or health system transformation agendas.
• Experience working at the interface of research, policy, and implementation.
• Experience supporting dissemination of research through policy products, technical guidance, publications, or high-level stakeholder briefings.
• Experience supporting regional or international partnerships.

Remuneration will be commensurate with the candidate’s qualifications and experience. Informal enquiries are welcome and should be made to Jit Sohal, Head of Strategy and Impact, at joincosm@nus.edu.sg

Formal application: Please submit your application, indicating current/expected salary, supported by a detailed CV (including personal particulars, academic and employment history, complete list of publications/oral presentations (if any) and full contacts of three (3) referees to the NUS Career Portal. 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-in-Sustainable-Finance-%28SGFIN%29/33177-en_GB/?st=9150308994CF31FCAACEE319707B32B09BE6EC1E

We regret that only shortlisted candidates will be notified.

The Role

The Sustainable and Green Finance Institute (SGFIN) is a new university-level research institute in the National University of Singapore (NUS), jointly supported by the Monetary Authority of Singapore (MAS) and NUS.  SGFIN aspires to develop deep research capabilities in sustainable and green finance, provide thought leadership in the sustainability space, and shape sustainability outcomes across the financial sector and the economy at large.

This role is ideally suited for those wishing to work in academic or industry research in the financial sector, particularly in the area of sustainable, responsible, and green investing and valuation. The responsibilities of the role will include designing and developing a framework to distill various information regarding corporate sustainability efforts and performance into various metrics that can be analyzed further to support decision making in the corporate, financial, and societal spheres.

There are no teaching obligations for this position, and the candidate will have the opportunity to develop their research portfolio.

Duties and Responsibilities

The successful candidate will be expected to assume the following responsibilities:

• Design research projects in close collaboration with the Institute’s Directors (Prof. Sumit Agarwal / A.Prof Johan Sulaeman / A.Prof Weina Zhang) and Research Affiliates
• Take ownership and responsibility for the successful delivery of research projects, ensuring they are completed within the required deadline and allocated budget, and meeting/exceeding project specifications and targets
• Participate in pre-project activities such as identifying required resources to ensure project completion including staffing and organizational needs of the project team, and preparing high-level project plans with project timeline and resource requirements
• Development of research hypotheses
• Plan and contribute to the collection and organization of corporate financial and sustainability disclosures
• Plan and contribute to the collection and organization of information regarding government policies and regulations in the sustainability space
• Contribute to qualitative and quantitative analyses of existing frameworks, to extend existing frameworks to develop a more comprehensive framework
• Monitor progress of research projects and provide necessary interventions to ensure smooth completion of each project
• Manage and coordinate project deliverables, ensuring their quality
• Manage the collaborations with research and industry stakeholders, including providing periodic progress updates and deliverables for grant funding body or project sponsors
• Manage industry partners’ expectation by understanding their needs and providing realistic expectations and scope of each project
• Preparation of results for industry communications, presentations, and academic articles for journal publications
• Guide, mentor, and supervise research analysts on the project team
• Work closely with the rest of the SGFIN team to support SGFIN’s activities and objectives

Qualifications

• Academic background in the following subjects is preferred: finance, accounting, economics, business, sustainable/green finance, sustainability management, or related disciplines. A bachelor’s degree is required, a master’s degree in one of these subjects is highly preferred, with a PhD degree preferred
• Basic understanding of financial sector (banks and other financial institutions), financial markets, corporate financial statements, and credit risk analysis, is required.
• A thorough knowledge of the research field of sustainable economics or finance is highly preferred.
• Quantitative analytical and/or financial econometric skills, including knowledge of advanced statistical software packages, are highly desired, along with experience with empirical research methods, including developing, conducting and supporting research and data analysis of research projects.
• Proactive in problem solving.
• Good time management and planning skills with a commitment to delivery.
• Strong project management skills, with ability to manage several projects concurrently.
• Strong delivery management experience, with proven track records in managing and steering projects towards smooth execution and on time delivery.
• Adaptive to change with a positive work attitude.
• Enthusiastic team player who is self-driven, committed, and willing to take initiative.
• Strong interpersonal and leadership skills, effective in coordinating stakeholders, fostering teamwork, and leading high performance project team.
• Excellent verbal and interpersonal communication skills, along with strong written communication skills.

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together - building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities - all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

• This position is for Office of Research Strategy (ORS).
• Lead strategic analysis of global research funding landscapes, including philanthropic foundations, multilateral development institutions, bilateral development agencies, and international collaborative research programmes.
• Provide strategic guidance to ORS leadership on global research positioning and institutional priorities across foundations, multilateral organisations, and international research programmes.
• Build and maintain institutional intelligence on global funders, agenda-setting international research convenings, major international funding programmes, strategic research priorities, and emerging programme opportunities relevant to SMU's research capabilities
• Exercise institutional judgement in identifying research themes, clusters, and programme opportunities aligned with SMU2030 priorities.
• Lead programme and cluster scoping with Schools, Institutes, and selected local and international partners to identify fundable thematic opportunities.
• Lead senior-level engagement with international research funders, philanthropic foundations, and multilateral organisations to strengthen SMU's positioning within global research ecosystems.
• Identify and cultivate relationships with key international funding organisations and thought leaders to support the development of programme-scale research collaborations.
• Guide Schools and Institutes in shaping research agendas suitable for major programme funding opportunities.
• Provide strategic direction for programme development activities across ORS, ensuring alignment between global funding opportunities and institutional research priorities.
• Support the development of large programme-scale initiatives involving multiple investigators, research centres, and international partners.
• Work closely with the Assistant Director - Research Programme Development to ensure that emerging research initiatives are strategically aligned with international funding priorities.
• Contribute to the development of institutional strategy regarding global research engagement, emerging thematic priorities, and future research capability development.
• Monitor global developments in research funding, international policy priorities, and thematic research agendas that may influence future funding opportunities.
• Provide advisory input on strategic hiring directions and emerging interdisciplinary research priorities based on global foresighting and funding intelligence.
• Other duties as assigned.

• Master's degree or equivalent professional experience in public policy, international development, economics, social sciences, business, or related disciplines, with 12 to 15 years of relevant professional experience in research strategy, international programme development, research funding strategy, or global research partnerships.
• Prior experience working within or alongside international funding ecosystems including philanthropic foundations, multilateral development banks, bilateral development agencies, or international research programmes.
• Experience engaging senior stakeholders in international organisations, global foundations, universities, or research institutes will be highly advantageous.
• Deep understanding of global research and development funding ecosystems, including philanthropic foundations, multilateral development institutions, development finance organisations, and bilateral development agencies such as the World Bank, Asian Development Bank, Green Climate Fund, United Nations Development Programme, Organisation for Economic Co-operation and Development initiatives, United States Agency for International Development, and the UK Foreign, Commonwealth & Development Office.
• Strong familiarity with international research funding mechanisms including Horizon Europe, collaborative research programmes, consortium funding initiatives, foundation-supported research programmes, and multilateral research partnerships.
• Demonstrated experience shaping programme-scale initiatives or research agendas aligned with major international funding opportunities.
• Ability to translate global funding intelligence into institutional research strategies and programme opportunities.
• Experience engaging senior stakeholders across universities, international organisations, government agencies, and philanthropic foundations.
• Strong capability in identifying emerging thematic research areas and aligning institutional research strengths with international funding priorities.
• Experience working on multi-institutional or multi-country research initiatives involving universities, research institutes, and international partners.
• Excellent strategic analysis and written communication skills, particularly in preparing strategic briefs, concept notes, programme strategies, and institutional positioning materials.
• Strong interpersonal and stakeholder engagement skills, with the ability to represent institutional research interests in international forums and partnerships.
• Experience working within or closely with international development organisations, multilateral institutions, global foundations, or international research programmes will be highly advantageous.

#LI-KC1

Candidates who do not possess the stipulated qualifications but have relevant work experience may still apply. Remuneration and appointment terms shall commensurate with qualifications and experience. SMU reserves the right to modify the appointment terms where necessary.

About Company

Founded in 2022, XG Tech is driving the future of smart vehicles. Its mission is to empower the digital transformation of automobiles, moving from distributed computing to a centralized, cross-domain platform.

XG Tech focuses on the intelligent cockpit—the next frontier of differentiation—while seamlessly integrating advanced driving systems. By reimagining cars as mobile living spaces, XG Tech aligns with the evolving trend of vehicles becoming the “third living space.”

Role Summary
As a Research Scientist (AutoResearch on LLM), you will focus on cutting edge AI-Driven AI development using Autoresearch(Automated MachineLearning) for Large Language Models (LLM). You will design and deploy automated research frameworks that autonomously discover. optimize, and train the next-generation LLM architectures. You will bridge the gap between hardware constraints and model design ensuring that the automatically optimized architectures achieve or exceed the pre-training efficiency and downstream performance of state of the art established base models

Key Responsibilities

• Design, build and scale automated search and optimization systems (Such as Neural Architecture Search, evolutionary algorithms, or LLM-driven research agents) to autonomously discover optimal LLM architectures
• Analyze and integrate hardware level constraints (e.g. tensor parallel limits, memory bandwidths, latency, cache hierarchies, FLOPs, and energy efficiency of target silicon) into the optimization loop
• Scale up discovered architectures to perform large-scale pre-training. Ensure the final models meet to exceed the performance, training efficiency, and convergence rate of existing top-tier foundation models
• Develop accurate, cost effective proxy task, evaluation protocols, and scaling laws to predict full-scale LLM performance from early-stage automated search limits
• Collaborate closely with chip architects, system/compiler engineers, and foundation model researchers to co-optimize hardware execution efficiency and model training algorithms
• Stay at the forefront of AutoML, hardware-software co-design, and LLM pre-training literature, contributing to peer-reviewed publications and IP generation where applicable

How will you stand out

• Master's or PhD degree in Computer Science, Electrical Engineering, Applied Mathematics, or a related quantitative field with a focus on Deep Learning
• Strong research background in LLM pre-training, Transformer architectures, and scaling dynamics
• Hands-on experience with AutoResearch, AutoML, automated optimization algorithms, or using AI agents/LLMs for automated scientific discovery
• Solid understanding of GPU/accelerator architectures, memory hierarchies, parallel training strategies(tensor, pipeline, data parallel) and hardware performance profiling
• Production grade coding skills in Python and deep learning frameworks (e.g. Pytorch, JAX, Megatron-LM, Deepspeed).
• Demonstrated experience in training, scaling and evaluating large scaling models from scratch
• Having first author publications in top tier machine learning or system conferences (e.g. NeurIPS, ICML, ICLR, ASPLOS, ISCA, MLSys) is preferred
• Experience writing custom kernels (e.g. Triton, CUDA) or working with machine learning compilers are preferred
• Direct experience working with silicon/chip design teams to customize model architectures for specific ASIC/GPU/FPGA constraints.
• Experience building self improving AI Loops or automated coding research assistants

XG Tech is committed to providing equal employment opportunities by country, state, and local laws. XG Tech does not discriminate against employees or applicants based on conditions such as race, color, gender identity and/or expression, sexual orientation, marital and/or parental status, religion, political opinion, nationality, ethnic background or social origin, social status, disability, age, indigenous status, and union.

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.

What this job involves: 

This role leads JLL's APAC Research Data Operations team, ensuring the quality, consistency, and reliability of property market data across more than 20 Asia Pacific markets. You will oversee the data that underpins JLL's research, insights, and Real Estate Intelligence Service client deliverables, collaborating closely with local market Research teams and internal stakeholders. The position requires tactical oversight of the APAC component of JLL Research's offshore data management capability in India. 
 

What your day-to-day will look like: 

• Leading and developing the APAC Data Operations team to support Research teams across the region with timely submission and validation of market data 

• Establishing data quality frameworks and conducting systematic reviews to identify missing information, inconsistencies, or unusual trends 

• Directing the preparation and management of datasets using agreed standards and processes, ensuring compliance across all markets 

• Monitoring key property market indicators and validating trends against real estate fundamentals 

• Overseeing the maintenance and optimization of databases and systems used to store and deliver research data to clients and internal stakeholders 

• Driving continuous improvement initiatives and implementing best practices across the APAC Data Operations function including championing the evaluation, testing, and adoption of AI and automation tools that enhance data quality and streamline processes 

• Managing relationships with offshore data management teams in India and China and onshore stakeholders, setting priorities and monitoring performance 

• Collaborating with senior stakeholders to align data operations with broader research and business objectives 

• Reporting on team performance, data quality metrics, and operational efficiency to senior management 

• Contributing highly specialized expertise in APAC data and methodologies to global data initiatives 

Required Qualifications: 

• 10+ years of experience in a data operations management role, ideally within a commercial real estate agency or related industry 

• Proven ability to analyze complex information, identify issues, apply logical problem solving, and effectively communicate findings to diverse stakeholders and senior management 

• Strong leadership skills with demonstrated ability to manage, mentor, and develop high-performing teams 

• Excellent project management capabilities with the ability to prioritize multiple initiatives, meet deadlines, and drive results in a fast-paced environment 

• Exceptional attention to detail with deep expertise in managing data-intensive processes 

• Bachelor's degree in economics, data science, statistics, mathematics, or a related discipline 

• Advanced proficiency in MS Excel, including complex formulas and working with large, structured datasets 

• Fluency in English with excellent written and verbal communication skills to coordinate with teams across APAC markets and managing offshore operations.
   

Preferred Qualifications: 

• Proven track record of implementing data quality controls and validation processes 

• Experience leading teams in the adoption of automation, AI tools, or process improvement initiatives 

• Previous experience managing offshore or distributed teams 

• Deep understanding of Asia Pacific commercial real estate markets and how JLL Research materials are leveraged to support the transaction business lines 

• Mandarin language proficiency is advantageous due to regular collaboration with Mandarin-speaking stakeholders and offshore data operations teams in China.

Research Technologist

• Office Location: Buona Vista, Singapore
• Working Hours: Shift work
• Monthly Salary: Hourly Rate
• Employment Type: Full time, Permanent Contract

Company Overview

The company is a specialized clinical research unit based in Singapore, focusing on early‑phase human trials and innovative health technologies. It integrates biomedical expertise with modern digital tools to advance drug development and support global healthcare progress.

Responsibility

• Sample Management – Assist in laboratory kit preparation, ensure proper processing, labeling, storage, and shipment of biological samples in compliance with protocol, GCP, GLP, and SOPs.

• Data & Record Accuracy – Perform data entry, verification, and maintain detailed records to reflect current workflow processes.

• Quality Assurance – Conduct quality checks on shipping documents, monitor temperature‑controlled products, and ensure compliance with sponsor requirements.

• Laboratory Equipment Maintenance – Perform routine checks, maintain inventory, and adhere to quality control processes for laboratory equipment operations.

• Calibration & Documentation – Support calibration, qualification, and validation of biomedical systems; maintain proper documentation for traceability and preventive maintenance.

• Team Collaboration – Work closely with Research Technologists to ensure equipment readiness and operational compliance across laboratory processes.

Requirement

• Minimum Diploma in Health Science
• Good interpersonal and communication skills, with the ability to coordinate effectively.
• Candidate who can start immediately or within short notice will be preferred

We regret to inform you that only shortlisted applicants will be notified.

Recruit Lync Pte Ltd | EA License Number: 22C1000

Chen Hoe Nam | EA Personnel License: R25158678