Total 2,459 Others level Science / R&D / Research job vacancies

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.

About Us

LITEON is a world-leading provider of optoelectronicsemiconductor components and power management modules. At LITEON we put peopleat the core - LITEON has built a culture of trust and empowerment that enhancesemployee involvement, engagement, and commitment to excellence.

About the Role

An exciting opportunity has arisen to join our CloudInfrastructure Platform and Solutions (CIPS) Research Team. Our CIPS Researchteam is focussed on developing future technology systems to support growth inthe rapidly evolving data center sector. The successful candidate will bedirectly involved in early-stage research projects, working with academicinstitutions, suppliers, customers, and partners to deliver proof of conceptdesigns.

Key Responsibilities

• Continuously monitor market trends and industry research to define the research strategy and product roadmap.
• Drive the delivery of multiple projects, ensuring the engineering team has the technical direction and support required to deliver industry leading proof of concept designs within target timelines.
• Lead and mentor a group of engineers, supporting career development with goal setting and regular check-ins.
• Identify the skills needed in the team and help with recruitment of suitable engineers.
• Prioritise projects and allocate engineering resource.
• Work with a commitment to continuous improvement, transparency and technical expertise.
• Review designs and documentation, using technical experience to guide projects to success.
• Work as a hands-on individual contributor, researching key topics and delivering designs and documentation.
• Manage the delivery of collaboration projects with internal teams, suppliers, customers and research institutions.

Requirements

• PhD or Master’s degree in Electrical / Electronics Engineering or related field.
• 8+ years experience in power electronics research, with at least 3 years in a leadership or team-lead role.
• Strong understanding of electronics hardware design, common power electronics architectures and control.
• Experience with architecture drawings, electronic schematics, component datasheets and PCB layout drawings.
• Knowledge of embedded software (C/C++) andcoding practices is preferred.
• Hands-on prototyping and testing experienceusing oscilloscopes, electronic loads and power analysers.
• Familiarity with SiC/GaN devices, magneticsdesign, EMI, and thermal management.
• Expertise in using simulation tools (MATLAB, Simulink,LTspice, Python, etc).
• Strong analytical, problem-solving, leadershipand communication skills.
• Experience planning projects, allocatingengineering resource and project status reporting.
• Demonstrated passion for innovation and commitment to continuous learning.

Why Join Us

• Work in a world-class R&D environment with well-equipped labs, top-tier industry connections and collaborative teams.
• Shape the future of energy-efficient data storage and AI cloud computing – from renewable energy integration to next generation infrastructure.
• Opportunities to publish, patent and innovate designs for future products.
• Competitive compensation, research autonomy and a continuous learning culture

5 openings · Structured 12-month pathway into team leadership

We're grooming our next generation of advisory leaders — and we back our people with something most agencies can't: a proprietary technology stack that takes the grind out of the job from day one.

This is a client-facing wealth advisory role focused on investment-linked solutions and portfolio management. If you want to own your income, work with a serious systematized practice, and grow into leading a team, read on.

What you'll do

• Build and manage a portfolio of clients across the wealth spectrum, with a focus on investment solutions and ongoing portfolio reviews
• Run financial needs analyses and translate market movements into clear, actionable advice clients understand
• Identify, target, and acquire clients across various wealth segments
• Host and invite clients to investment events and briefings (company-funded)
• Keep abreast of market events and develop into a team leader within ~12 months if you show the aptitude

The package

• Fixed monthly salary of up to $4,000 for your first 3 months — probation period
• A structured 3-month training programme designed to get you producing confidently before the salary period ends
• After probation: a commission-based model with no ceiling. Advisers who complete our programme and apply it consistently typically reach $5,000+/month — your income scales directly with your effort.
• Monthly investment training delivered by major fund houses, fully funded
• A defined leadership track with mentorship — not a vague "maybe one day"

The edge most agencies can't offer you

This isn't a cold-calling, paper-form practice. We've built our own technology stack to take the admin out of the job so you spend your time with clients, not paperwork:

• Automated portfolio analysis tools that turn hours of manual policy review into minutes — so you walk into every meeting already knowing where the client's gaps are
• A market intelligence system delivering a weekly, ready-to-use brief on what's moving and why — you sound informed without spending weekends buried in research
• Client-facing modelling tools that let you show projections and scenarios live, on screen, instead of fumbling with spreadsheets
• A structured lead and pipeline system so nothing slips and you always know who to call next
• A built-in CMFAS exam prep platform to get you licensed faster

You're not figuring this out alone with a brochure and a phone. You're plugged into a practice that's years ahead of the typical agency — using tools that make you measurably more productive than the adviser across the table at another firm.

Who this is for

• Diploma / Degree / full A-Levels in any field — career-switchers from corporate, banking, or sales backgrounds do well here
• Strong communicators who can make complex market events simple
• Self-starters comfortable with a model where effort directly drives income
• Organised, able to juggle shifting priorities and follow through under frequent change

Apply if you want a clear pathway and are willing to earn it.

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 SMU Resilient Workforces Institute (ResWORK)
• Implement AI models, explanations, and interactive ML techniques.
• Design and implement web-based prototypes.
• Conduct analyzing experimental and interaction data.Contribute to technical documentation and demonstrations.

• Minimum Bachelor's in Computer Science, Information Technology, Information Systems or closely related disciplines.
• Minimum 1 years of relevant research experience in AI and machine learning.
• Experience in web-based prototyping.

#LI-XL1

Job Title: Research Technician/Assistant (Sputtering Systems)

About Us
We are an early-stage venture team developing advanced thin film materials and deposition workflow technologies for applications in optics, photonics, and memory. Our work focuses on high quality coatings and process development using sputtering-based techniques.

Role Overview
We are looking for a hands-on and reliable research technician to operate and manage our sputtering system, support day-to-day experimental work, and ensure smooth lab operations. This role is critical in enabling consistent thin film deposition for internal R&D and external projects.

Key Responsibilities
• Operate and manage a sputtering system (e.g. AJA International sputtering system) independently
• Perform thin film deposition for various projects and customer requirements
• Execute day-to-day experiments following defined process parameters and protocols
• Troubleshoot equipment issues and process deviations
• Perform basic maintenance and minor repairs, including vacuum systems (pumps, leak checks, seals), gas lines and plumbing and electrical connections and wiring
• Support process optimization and data collection
• Maintain proper documentation of experiments, parameters, and results
• Ensure safe operation of equipment and adherence to lab safety protocols

Requirements• Minimum Diploma in Engineering (Materials Science, Electrical, Mechanical, or related field)
• Prior experience operating sputtering or vacuum deposition systems is strongly preferred
• Familiarity with vacuum systems, gas handling, and thin film processes
• Hands-on experience with basic troubleshooting and maintenance
• Comfortable working with electrical systems, plumbing / gas lines, mechanical components
• Ability to work independently and take ownership of equipment and processes

Preferred Qualifications (Nice to Have)• Experience with sputtering systems or similar PVD tools
• Background in thin film characterization or materials processing
• Experience in a research lab or cleanroom environment

What We’re Looking For• Practical, hands-on problem solver
• Detail-oriented and reliable
• Able to run experiments independently
• Comfortable working in a startup environment (flexible, fast-paced)

Why Join Us• Opportunity to work on cutting-edge materials and technologies
• High ownership and impact in a growing startup
• Exposure to both research and real-world applications

Location: Singapore (SUTD campus, with potential access to shared/collaborators’ lab facilities)

PositionOverview

This rolewill be responsible for the operation and management of the AI academiccommunity, GAIR DAO Community (www.gairdao.com),while also driving engagement and collaboration with academic resources andresearchers.

KeyResponsibilities

1.Academic Outreach & Partnership Development

• Leverage local Singapore universities (such as NUS, NTU, and SMU) to proactively maintain and expand long-term relationships with AI researchers, PhD students, and leading research laboratories, building a stable academic collaboration network.
• Establish and maintain connections with a broader academic audience, including authors of high-impact research papers and overseas Chinese students, through participation in international academic conferences and other technology-related events.
• Convert established academic connections into long-term collaborations, such as inviting scholars to participate as guests on our podcast series “GAIR Live” , or engaging them in academic content co-creation initiatives.

2.Community Content Operations & Management

• Publish and synchronize key content produced by other team members (e.g., conference summaries, paper reviews, and research insights) to the GAIR DAO community platform, while facilitating meaningful discussions.
• Increase community engagement and user participation through effective community management strategies.
• Proactively propose and implement improvements to content production, engagement activities, and operational workflows.
• Regularly generate operational reports, analyze key performance indicators such as community growth and engagement rates, and provide actionable recommendations.

Qualificationsand requirements

• Excellent verbal and written communication skills in both English and Chinese.
• Results-oriented, highly organized, and capable of managing multiple tasks while maintaining consistent content output and achieving objectives.
• Strong interest in or understanding of artificial intelligence and international academic conferences.
• Prior experience in academic outreach, research community management, or related fields is preferred, such as participation in academic conferences or collaborations with universities and research institutions.
• Singapore or PR only .

WorkEnvironment & Travel Requirements

This rolerequires participation in leading international academic conferences heldworldwide. Key responsibilities at these events include:

• Networking with scholars and maintaining records of relevant contacts and information.
• Supporting conference-related content development and gathering materials for future content creation.
• Contributing to timely original content such as conference highlights, quick commentary, and event recap articles.

Interestedparties, please sent detail resume to : admin@gair.sg

We arecommitted to building a global academic content platform and look forward towelcoming you to our team.

Job Title: Research Officer

Working Days & Hours: Monday – Thursday: 8.30am – 6.00pm & Friday: 8.30am – 5.30pm⏰ (Including 1-hour break)

Job Responsibilities:

• Location: Pioneer (With company bus pick up)
• Working hours: 8.30am - 5.30pm
• Up to $5,000 (Basic Salary, Depending on experiences)
  

Job Description

Optimizing hard disk storage: Implement strategies to maximize existing storage capacity and explore potential upgrades for significant storage expansion.

Improving sputter machine stability: Focus on enhancing the reliability and performance of the sputter machine and its processes.

1) To lead a group of sputter Engineer Assistant to conduct daily sputtering work

2) To develop new multilayers thin film structure for new hard disk media programs

3) To duplicate hard disk media structure based on design transferred

4) To monitor sputter process & machine stability

5.) Ensure compliance to ISO quality and Safety standards

6) Any other duties as assigned by superior

Job Requirement

・Bachelor/ Master Degree in Materials Science Engineering

・Research fellow in A star research institute (Advantage)

・Working experience more than 2 years in semiconductor field or hard disk industry

・Understanding of Magnetic material multi layers design

・Sputtering machine hardware modification & improvement

・Materials Science Knowledge is a must

・Materials Characterization Skills, ie XRD, AFM, ESCA/XPS is a must

・Thin Film manufacturing process, ie PVD & CVD is a must

・Python Coding knowledge is a plus

・SPC (Statistical Process Control) knowledge is a plus

・After work hours commitment needed (twice a week)

We regret that only shortlisted candidates will be notified. Other applications will be updated to our database for future job opportunities.

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Project Overview

The "Mens, Manus and Machina—How AI Empowers People, Institutions and Cities in Singapore (M3S)" five-year project was initiated in July 2023. It is driven by the goal of investigating the nature of work, redefining our relationship with technology, and exploring how institutions can adapt to foster liveability, sustainability, innovation, and social welfare.

Successful applicants will have the opportunity to work on cutting-edge projects that aim to develop state-of-the-art AI to create future smart cities. This Postdoctoral Associate position is until June 2028 under the M3S program at SMART. The SMART team seeks to advance the frontier of AI research, apply it to society and cities, and demonstrate the concrete social impacts of the AI algorithms with broad public acceptance in Singapore.

Responsibilities

The SMART-T7 project concerns the design of human-machine systems for the scheduling and allocation of valuable resources in ways that accommodate and optimize for the needs and capabilities of both humans and machines. The project aims to solve diverse use cases in a broad set of application contexts.

The management of large-scale service and infrastructure systems—such as airport operations, urban mobility, last-mile logistics, robotic fleet management and other smart city applications—requires making tightly coupled scheduling and resource allocation decisions under significant operational complexity. These systems are characterized by high-dimensional, combinatorial decision spaces (e.g., assigning flights to gates, vehicles to multi-service tasks, lockers to dynamic demand, or robotic agents to coupled tasks), where interactions and coordination requirements between entities—such as connecting passengers, pooled service requests, customer time windows, and robotic tasks—often introduce intractable structures. At the same time, decision-makers must balance multiple, often conflicting objectives across stakeholders, including efficiency, reliability, and equity, while accounting for dynamic and stochastic demand patterns. The project addresses these challenges through a combination of advanced optimization methods (e.g., flow-based models that strengthen tractability, decomposition methods), learning-enhanced approximations (e.g., embedding-based representations of complex interactions, passenger flow estimation using generative techniques), and artificial intelligence (e.g., AI-powered digital twin simulations). Together, these approaches enable scalable, real-time decision-making in complex environments, while explicitly capturing trade-offs between operational performance and user-centric outcomes, such as passenger experience, system utilization, and service responsiveness.

The SMART-T7 team is led by Professors Alexandre Jacquillat, Jinhua Zhao, Hamsa Balakrishnan, Amedeo Odoni, and Jason Jackson from MIT, and Professor Hai Wang from Singapore Management University.

The successful candidate will work closely with Professors Alexandre Jacquillat (MIT), Hai Wang (Singapore Management University) and Bo Lin (National University of Singapore). The broad objective of the research will be to harness the power of operations research, AI, data science, and other disciplines to enhance the efficiency and effectiveness of human-machine systems. The primary application areas are smart city operations and robotic fleet management. The research will work at the interface of large-scale optimization, data-driven decision-making, the AI-optimization interface, and digital twin simulation. We invite applicants who hold or about to get a doctoral degree in Operations Research, Computer Science, Artificial Intelligence, Data Science, Industrial Engineering, or other related disciplines. We particularly welcome candidates with expertise and experience in the integration of AI and decision-making:

Key Responsibilities

• Collaborate with the project team and other researchers to design, implement, and evaluate research projects.
• Publish research results in top-tier journals and conferences and disseminate research findings through presentations and other means.
• Mentor graduate and undergraduate researchers involved in related projects.
• Assist with grant writing, project management, and administrative research duties.
• Perform other duties as needed. 

Requirements

• Ph.D. in Operations Research, Computer Science, Artificial Intelligence, Data Science, Industrial Engineering, or other related disciplines by the start of the appointment.
• Expertise 1: Experience with general methods in decision-making under uncertainty, including integer and combinatorial optimization, stochastic and robust optimization, dynamic programming, large-scale optimization, and simulation-based optimization; and/or
• Expertise 2: Experience with general methods in artificial intelligence and machine learning, including reinforcement learning, deep learning, generative AI, multimodal AI, and LLM.
• Experience in the integration of artificial intelligence and decision-making.
• Strong publication record in top-tier conferences and journals.
• Excellent communication and collaboration skills.

To apply, please visit our website at: https://portal.smart.mit.edu/careers/career-opportunities

Interested applicants are invited to send in their full CV/resume, cover letter and list of three references (to include reference names and contact information). We regret that only shortlisted candidates will be notified

Senior Research Nurse

• Office Location: Buona Vista, Singapore
• Working Hours: Morning/Noon Shift (45 hours per week)
• Monthly Salary: Hourly Rate + Completion Bonus
• 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

• Clinical Care & Excellence – Deliver professional care and management of clinical trial participants, ensuring privacy and confidentiality at all times.
• Data & Equipment Handling – Collect, verify, and store trial data accurately; operate biomedical equipment proficiently within the CRU.
• Safety & Emergency Preparedness – Apply biohazard safety precautions and participate actively in Code‑blue drills, leading during real emergencies.
• Screening & Trial Execution – Perform general screening activities and protocol‑related tasks under the guidance of the Study Nurse‑in‑Charge.
• Collaboration & Coordination – Work closely with pharmacists, technologists, and support staff to ensure smooth execution of trial activities and auxiliary services.
• Compliance & Documentation – Adhere to SOPs, GCP, and regulatory requirements; maintain accurate records and demonstrate commitment to training and policy compliance.

Requirement

• Registered with Singapore Nursing Board.
• Minimum 2 years of nursing experience in direct in patient nursing.
• 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

We are seeking a proactive and detail-oriented professional to lead the administration and governance of industry and research collaborations.

• Basic Up to $6,500 + Attractive Bonuses
• West Area
• Permanent role

Responsibilities:

• Lead the full lifecycle management of College-level research agreements, including pre-contract advisory, drafting, internal clearance, negotiation support, execution, amendments, extensions, and project closure.
• Advise faculty and stakeholders on appropriate agreement structures, templates, and collaboration processes, ensuring alignment with University policies and governance requirements.
• Review agreements and key contractual clauses, identifying governance, compliance, operational, intellectual property, liability, and risk considerations prior to legal submission.
• Coordinate with Schools, faculty, central offices, and external stakeholders to facilitate timely negotiations, issue resolution, execution of agreements, and proactive management of bottlenecks or risks.
• Support College-level research initiatives and partnerships through the preparation of strategic reports, briefing notes, presentations, and summaries for leadership, senior management, and funding agencies.

Requirements:

• Possesses a Bachelor's Degree with 3 - 5 years of relevant experience in research administration, research agreements, research partnerships.
• Experience in managing complex research or industry agreements and engaging multiple internal and external stakeholders.
• Familiarity with Singapore’s research, innovation, and enterprise (RIE) ecosystem, including public-sector research funding and collaboration frameworks, would be advantageous.

By submitting your resume, you consent to the collection, use, and disclosure of your personal information per ScienTec ‘s Privacy Policy (scientecconsulting.com/privacy-policy).

This authorizes us to:

• Contact you about potential opportunities.
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All applications will be processed with strict confidence. Only shortlisted candidates will be contacted.

Goh Yi Min, Mai - R22104617

ScienTec Consulting Pte Ltd – 11C5781

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-%28Infectious-Disease-Modelling%29/29829-en_GB/?st=10D7DF6900EEA4DFBE1D5F37204E9A8E4AB59151

We regret that only shortlisted candidates will be notified.

Job Description

Qualifications

● A Ph.D. in a relevant field such as computer science, statistics, epidemiology, computational biology, bioinformatics, biostatistics, machine learning, or a related discipline.
● Strong background in at least one of infectious disease modelling, phylogenetics, or phylodynamics (background in computational statistics or machine learning is optional but highly relevant)
● Proficiency in programming languages (R, Python, C++, Java or Julia).
● Experience with mathematical and statistical methods applied to real-world, public health, and global health problems.
● Excellent written and verbal communication skills, including presenting complex concepts to diverse audiences.
● Demonstrated ability to work effectively in a multidisciplinary team and independently.
● Track record of publications in peer-reviewed journals

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-%28Hydrodynamics-of-Coastal-Structures%29/33191-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The selected Research Fellow (RF) will be responsible to lead and manage research activities relating to the project titled Hydrodynamics of coastal structures. 

Key duties will include conducting offshore centrifuge modelling for Coastal Structures and aiding to supervise research assistants. He/she must also help in ensuring compliance with safety and ethical standards and contributing to the preparation of progress reports and grant documentation.

Job Requirements

•    Possess at least a PHD degree in relevant fields such as Civil Engineering, Ocean Engineering, Fluid Mechanics, Computer Science, or related disciplines. Applied Mathematics, Data Science, Electrical and Electronics Engineering, Earth Sciences, Remote Sensing, and Artificial Intelligence are also well-suited. (More details on PhD requirements can be found at: https://nusgs.nus.edu.sg/scholarships/nus-research-scholarship/)
•    Strong written and spoken communication skills. 
•    Open to fixed-term contract

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-%28Epidemiology-and-Modelling%29/33196-en_GB/?st=8BBC1E9510488D1EBDE40715BA0979C8232077DA

We regret that only shortlisted candidates will be notified.

Job Description

The Saw Swee Hock School of Public Health (SSHSPH) at the National University of Singapore (NUS) is seeking multiple determined full-time Research Associate(s) to join a new group led by Dr Angkana T Huang.

Successful candidates will have the opportunity to work on one of several research projects using computational methods to understand the mechanisms underpinning the ecology and evolution of dengue and related arboviruses across Asia and globally. The long-term goal is to generate insights that enable interventions to be better designed, more effectively deployed, and resilient to an ever-evolving infectious disease landscape. Candidates with ambitions to define and pursue independent research questions of mutual interest are strongly encouraged to apply.

Research in the group spans a broad and multidisciplinary scope, for example:

• Macro-processes reshaping who gets infected and when
• The molecular basis of differences in virus properties, such as antigenicity
• Development and validation of computational methods to infer epidemiological quantities

Embedded within the Centre for Epidemic Research and Modelling (CERM) at SSHSPH, researchers will work among a community of motivated, purpose-driven scientists collaborating closely with regional partners and world-leading international collaborators.

Major duties and expectations:
All appointees:
• Conduct and contribute to the design, execution, and interpretation of research projects
• Perform computational analyses, including data processing, modelling, and interpretation of results
• Contribute to the preparation of manuscripts, reports, and presentations
• Participate in team meetings and collaborations with internal and external partners
• Critically appraise evidence and their own results with intellectual honesty, and engages constructively with differing perspectives

Qualifications

All appointees:
• Proficiency in at least one programming language, such as Python or R
• Experience with mathematical or statistical modelling
• Excellent written and verbal communication skills
• Highly organised, with the ability to work effectively both independently and as part of a team

Research Associate:
• Master’s degree or equivalent experience in Epidemiology, Biostatistics/Statistics, Computational Biology/Bioinformatics, Infectious Disease Modelling, or a closely related field

The grade of appointment will be accorded based on qualifications and work experience. Interested applicants are invited to apply directly at our NUS career portal with the documents below. For further enquiries, please contact Dr Angkana T. Huang via huangat@nus.edu.sg.
a. Cover letter highlighting career goals and relevant experience
b. Curriculum Vitae, containing names and contact details of three named referees

We are committed to open science, equitable partnerships, and scientific rigour. Candidates who share these values are strongly encouraged to apply.

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-Manager-%28IT-Project-and-Product-Management%29-Faculty-and-Research-Systems/32747-en_GB/

We regret that only shortlisted candidates will be notified.

About NUS IT

NUS Information Technology is the cornerstone to providing reliable, high-performance and secure IT solutions and effective IT governance for the campus. Here at NUS IT, we aim to transform NUS into a borderless computing community providing knowledge at its fingertips by enhancing the use of effective applications and services for teaching and learning.  

We drive a culture that is forward-looking. With a strong passion for IT, our people are always striving to improve, push boundaries and innovate with a "can-do" attitude.  We embrace collaboration, open communication and knowledge sharing. If you see yourself thriving in a dynamic environment and breaking new grounds with innovative ideas, you will find yourself at home in NUS IT.  

As part of our team, you can look forward to an empowered work environment that allows you to take charge of your own career path. We provide competitive remuneration as well as flexible work arrangements to enable your growth and development. We pride ourselves on our diverse workforce and are committed to transforming NUS into a leading global University shaping the future.  

https://nusit.nus.edu.sg/ 

Job Description

You will lead product development, AI delivery, and digital partnership for Faculty and Research systems at NUS. Working closely with faculties, vendors, and cross-functional IT teams, you will translate business needs into technology outcomes that advance NUS' academic and operational goals. This is a hands-on leadership role suited to someone equally comfortable with strategy and delivery.

Duties and Responsibilities

Product Development & Lifecycle Management

• Own the product roadmap for Faculty and Research platforms across the full lifecycle - from discovery and requirements through to delivery, launch, and iteration.
• Develop and maintain a product roadmap aligned with user needs, NUS IT direction, and relevant market developments - engaging regularly with business users and stakeholders to spearhead, gather, clarify, and prioritise requirements into a well-structured product backlog.
• Work cross-functionally with architecture, security, and engineering teams to ensure products are scalable, compliant, and fit for purpose.
• Use prototypes and proof-of-concepts to validate ideas early and reduce delivery risk.
• Drive continuous product improvement through post-launch data analysis and structured user feedback.

AI Solution Delivery

• Identify opportunities where AI can improve processes, enhance user experience, or unlock new capabilities across Faculty and Research domains.
• Translate business needs into clearly defined AI use cases, shaping functional requirements, solution approaches, and measurable success criteria.
• Apply practical understanding of AI approaches - including generative AI, predictive analytics, and workflow automation - to support solution design and implementation.
• Lead end-to-end delivery of AI solutions, from discovery and prototyping through implementation, rollout, adoption, and continuous improvement.
• Drive the design and implementation of agentic workflows and AI-powered automations using orchestration platforms such as n8n, integrating them with enterprise systems, data sources, and business processes where appropriate.

Project Delivery

• Manage end-to-end project delivery - scoping, planning, execution, UAT, and go-live - ensuring targets, quality standards, and NUS governance requirements are met.
• Handle procurement activities including tender preparation, vendor evaluation, and contract management.
• Produce and review project artefacts to ensure compliance with NUS IT policies and audit requirements.
• Coordinate vendors and internal teams to keep delivery on track and within scope.
• Lead and motivate project teams, balancing resource optimisation with team wellbeing.

Strategic Partnership & Faculty Engagement

• Serve as the primary IT account manager for assigned faculties and departments - building trusted relationships with Deans, Heads, and administrative leaders to understand their priorities and co-develop technology plans.
• Align faculty technology needs with NUS IT strategy through bi-annual digital planning cycles, ensuring investments are well-prioritised and outcomes are tracked.
• Facilitate faculty digitalisation efforts by identifying opportunities, championing adoption of new tools, and supporting change management on the ground.
• Represent faculty interests in university-wide IT governance and planning forums.
• Conduct regular service and strategic reviews with stakeholders to ensure IT remains responsive and forward-looking.

Operations & Continuous Improvement

• Oversee application maintenance and support for Faculty systems, ensuring SLAs are consistently met and issues are resolved efficiently.
• Drive a proactive operations model - using data and system analytics to identify trends and address issues before they escalate.
• Collaborate with faculty partners on enhancement prioritisation, progressively automating routine processes to free capacity for higher-value work.
• Manage vendor performance with accountability, ensuring support obligations are met and improvement opportunities are acted on.
• Ensure ongoing compliance with audit, security, and data governance requirements.

Qualifications

• Degree in Information Technology, Computer Science, Computer Engineering, or equivalent.
• At least 10 years of IT experience, including 3+ years in a technical role and 7+ years in project or product management.
• Strong grasp of modern IT technologies, methodologies, architectures, and best practices.
• AI FluencyHands-on experience delivering AI or data-driven initiatives in a complex, multi-stakeholder environment.Practical understanding of modern AI concepts - including generative AI, agentic AI, and predictive/machine learning approaches.Relevant AI certifications, hands-on experience with AI platforms/orchestration tools, or demonstrated continuous learning in the AI domain will be an advantage.

• Strong analytical and communication skills — able to engage credibly with both technical teams and senior business stakeholders. The ability to understand the business questions that users are trying to answer is essential.
• Self-driven, organised, and comfortable managing multiple workstreams with competing priorities.
• PMP, CITPM, or CSPO certification is an advantage.
• Certifications in AI are highly preferred and will be considered an added advantage.
• Experience in the higher education sector is a bonus.