Total 4,406 job vacancies in Singapore

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-%28structural-system-analysis%29/33487-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore (NUS) invites applications for a postdoctoral Research Fellow position under the supervision of Asst Prof Meng Xin from the Department of Civil and Environmental Engineering. The successful applicant will lead the design and verification of a novel modular long-span structural system and contribute to constructional metal 3D printing research in the later stage of the project.

The Research Fellow is expected to:
•    Propose conceptual structural systems for modular long-span transfer slab/truss assemblies.
•    Analyse structural performance under static loading, vibration, and elevated temperatures.
•    Assess productivity, constructability, and carbon footprint of novel structural system.
•    Finite element analysis of composite structural systems and joints.
•    Contribute to metal 3D printing research and its effective use in construction.

Job Requirements

Essential:
•    Possess a PhD in Civil and Structural Engineering.
•    A strong portfolio of research and publications related to structural engineering, especially on structural system analysis and finite element modelling.
•    Excellent communication and collaboration skills.

Desired:
•    Practical experience in structural design and construction industry
•    Building information modelling 

Job Scope:

• Support the curatorial team’s research on Singapore’s post-independence history for special galleries. This includes:
• Research on existing and new artefacts and documents
• Background research and preparation for the conduct of oral history interviews and the management of the video interviews and production

• Conduct archival research on relevant images and audio-visual material

• Seek permissions and copyright clearances for material curated for use in exhibitions, including for multimedia, publications as well as education and public programmes

• Manage content and asset delivery for exhibition design, fabrication and translations

• Provide administrative and operational support for the abovementioned curatorial projects
  

Requirements:

• Recognised degree/diploma in History or the Humanities or other disciplines relevant to Singapore’s post-independence history and nation building policies. Diploma holders with relevant work experience will also be considered

• Proven excellence in research, analytical, writing and presentation skills

• Ability to think creatively and imaginatively, with strengths in synthesizing information from different sources and storytelling

• Background in video production will be a strong advantage

• Strong administrative and project management skills

• Team player with excellent interpersonal and stakeholder management skills

Contract Duration: 1 Year

Working Hours: Mondays to Fridays (office hours)

Location: Beach Road

Salary: Up to $4000 per month

EA License No.: 96C4864
Reg. No.: R26161270 JOEY TAY YI TING

[Job ID:1625183]

Job Summary:

Drive innovation insights and ecosystem partnerships to support strategic initiatives across Japan and the APAC region.

Responsibilities:

• Conduct research on emerging trends and innovations across insurance, financial services, healthcare, aging, and childcare sectors in Singapore and APAC
• Analyze developments in AI, AI governance, FinTech, HealthTech, InsurTech, digital health, and data utilization
• Prepare reports and presentations for management and headquarters
• Build and maintain relationships with financial institutions, insurers, startups, technology companies, venture capital firms, accelerators, universities, and government agencies
• Perform market scanning and networking within Singapore’s innovation ecosystem to identify collaboration opportunities
• Participate in conferences, seminars, and industry events locally and overseas to gather insights and expand networks
• Support the planning and execution of internal and external events, including study visits and roundtable discussions
• Plan and promote Proof of Concept (PoC) initiatives with startups and external partners
• Coordinate with headquarters, group companies, and stakeholders on project activities
• Support project management, including tracking progress, resolving issues, and reporting outcomes
• Translate market insights into actionable recommendations to support business development and strategic initiatives
• Prepare management reports and strategic materials and present updates to stakeholders

Requirements:

• Minimum 2 to 5 years of experience in finance, FinTech, insurance, HealthTech, consulting, or innovation-related fields
• Business-level Japanese language proficiency (e.g., JLPT N1) is for liaising with Japanese-speaking clients and stakeholders
• Strong communication and interpersonal skills, with the ability to engage and collaborate with internal and external stakeholders
• Strong analytical, research, and reporting capabilities
• Proven project management and multitasking abilities in a fast-paced environment
• Proficiency in Microsoft Office applications (PowerPoint, Excel, Word) and familiarity with Copilot tools
• Experience in financial institutions or FinTech companies in areas such as digital payments, cross-border remittance, digital assets, or related fields is an added advantage
• Experience in insurance or InsurTech projects involving digital transformation, AI utilization, or customer experience enhancement is an added advantage
• Experience in healthcare or HealthTech sectors, including medical data, wellness, or elderly care solutions, is an added advantage
• Experience in consulting, strategy, or digital transformation projects across financial, insurance, or healthcare sectors is an added advantage
• Experience in innovation ecosystems, venture capital, or corporate venture capital (CVC), including startup scouting and PoC initiatives, is an added advantage

To Apply, please kindly email your updated resume to
cv_madoka@goodjobcreations.com.sg

Please kindly refer to the Privacy Policy of Good Job Creations for your reference:
https://goodjobcreations.com.sg/en/privacy-policy/

We regret that only shortlisted candidates will be notified. However, rest assured that all applications will be updated to our resume bank for future opportunities.

EA Personnel Name: Ochi Madoka
EA Personnel Registration Number: R24125474
EA License No.: 07C5771

The Centre of Excellence in Maritime Safety (CEMS) is a national R&D centre, a collaborative effort between Singapore Polytechnic and the Singapore Maritime Institute. We focus on developing innovative digital solutions and training systems to enhance maritime safety. Our state-of-the-art research facilities, including South-east Asia's first navigation research simulator, setting us as an innovation champion.

About the Role

The appointee will be part of the CEMS AI & Software team in developing digital solutions to enhance simulator training and assessment, innovate in training pedagogy for the maritime industry. The role may also involve contributing to department- and school-level software initiatives that support digitalisation and automation across R&D, operations, and education.

Responsibilities:

• Lead projects and provide technical contributions across the full software development lifecycle (SDLC), including requirements gathering with industry partners and internal stakeholders.

• Work closely with the AI team at CEMS to deploy and integrate AI solutions—such as Natural Language Processing, computer vision, and data analytics —into simulation platforms to enhance training and assessment capabilities.

• Collaborate with third-party simulator technology and solution providers to design and develop reusable code libraries and scalable APIs for integration and interoperability.

• Drive improvements to existing software systems by identifying performance bottlenecks, refactoring codebases, and enhancing maintainability and scalability.

• Contribute to the conceptualization, proposal development, and implementation of new research and development projects aligned with CEMS’s strategic objectives.

• Guide junior software engineers and student interns in software development best practices, code quality, and project execution.

• Prepare and deliver regular project updates and technical presentations for CEMS Governing Board and senior management meetings.
  

  Requirements:

  • Relevant qualifications in Computer Science, Computer Engineering, or a related field.

  • Relevant experience in the following areas: Production-grade software development, Backend and/or frontend application development, RESTful API design and implementation using modern frameworks (e.g., ASP.NET Core, Spring Boot, Django, Express.js)

  • Strong programming skills in one or more modern languages (e.g., C#, C++, Java, Python), with the ability to quickly learn new technologies and frameworks.

  • Experience working with relational and non-relational databases (e.g., MySQL, Oracle, MongoDB).

  • Good understanding of object-oriented design, software design patterns, and CI/CD practices.

  • Familiarity with version control systems (e.g., Git, GitLab).

  • Hands-on experience with containerization tools such as Docker.

  • Ability to build quick prototypes, tools, or scripts to support development or testing.

  • Strong interpersonal, verbal, and written communication skills; effective in collaborative and fast-paced environments.

  • Experience with end-to-end AI solution implementation using frameworks such as TensorFlow or PyTorch is a plus.

The Signature Research Programme in Health Services Research and Population Health is looking for candidates with either undergraduate or masters training in economics or related disciplines to support our growing portfolio of econometric / statistical analysis and decision analytic modelling projects.

Job Description

This position will report directly to Senior Health Economists in the Health Economic Evaluation Lab and offers an excellent opportunity to develop and refine in demand skills in applied health economics and to be co-author on publications. Successful candidates will assist with high value health economic research endeavours and perform a variety of functions, such as:

• Execute econometric and other statistical analyses.
• Build decision trees, markov and micro-simulation models for use in cost effectiveness analyses.
• Conduct literature reviews.
• Prepare sections of surveys, analysis plans, manuscripts, reports and grant proposals with a goal toward producing high quality research outputs.
• Act as a Teaching Assistant for the Health Economic Evaluation Graduate Certificate Program.
• Perform other related duties assigned by the Principal Investigators in support of these efforts.

Job Requirements

• Bachelor’s Degree / Master’s Degree in Economics, Health Economics or other related disciplines.
• Prior research experience in Cost Effectiveness modelling and Econometrics is highly desirable.
• Have experience in quantitative data and statistical analyses (preferably with health-economic data) with modelling packages such as R or STATA.
• Proficient with Microsoft Office Suite and AI tools.
• Possess strong verbal and written communication skills in English.
• Able to multi-task and work productively in teams.

We regret that only shortlisted candidates will be notified.

A Senior Research Fellow position as an expert in structural biology is available at the School of Biological Sciences, Nanyang Technological University (NTU). The candidate should have technical experience and knowledge in the areas of mycobacterial enzymes, setting up of cryo-EM and cryo-ET experiments, their data analysis and structure determination. The candidate will provide leadership, communication skills and mentoring to students working in the team.

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

We are seeking a highly experienced senior scientist with expertise in structural biology, particularly in protein chemistry and cryo-EM. The successful candidate will play a key role in driving research on mycobacterial enzymes and multi-subunit membrane-embedded complexes, contributing both technical expertise and leadership to the team.

Key Responsibilities:

• Lead and conduct research on the 3D structure determination of mycobacterial enzymes and large protein complexes.

• Set up and perform cryo-EM and cryo-ET experiments, including data collection, processing, and structural analysis.

• Provide mentorship to students and junior researchers in the lab.

• Communicate research findings effectively and contribute to collaborative projects.

Job Requirements:

• PhD in structural biology, biochemistry, or a related field with at least of years of relevant experience.

• Extensive technical experience in protein chemistry, protein engineering, and 3D structure determination of large/multi-subunit membrane enzyme complexes.

• Proven expertise in cryo-EM experiment design, execution, and data interpretation.

• Strong communication and leadership skills, with a track record of mentoring students or junior scientists.

The College of Science seeks a diverse and inclusive workforce and is committed to equality of opportunity. We welcome applications from all and recruit on the basis of merit, regardless of age, race, gender, religion, marital status and family responsibilities, or disability.

We regret that only shortlisted candidates will be notified.

Company Overview:

Wilmar International Limited is Asia’s leading agribusiness group, involved in activities such as oil palm cultivation, edible oils refining, oilseeds crushing, consumer pack edible oils processing, specialty fats, oleochemicals, biodiesel manufacturing, and grains processing. With over 1,000 manufacturing plants and a vast distribution network covering China, India, Indonesia, and more than 50 other countries, Wilmar is supported by a multinational workforce of about 100,000 people.

Job Summary:

We are seeking a highly motivated researcher with a strong background in food science to join our dynamic R&D team. The successful candidate will work on innovative research projects in the specialty fats domain, focusing on factors that influence product stability, texture, and functionality. This role will involve designing, optimizing, and enhancing fat-based formulations for a variety of food applications.

Key Responsibilities:

1. Research & product development

• Investigate factors affecting emulsion stability and product texture in fat-based food systems.
• Study the physical and chemical interactions between fats and other components (e.g., proteins, emulsifiers, stabilizers) to improve product performance.
• Collaborate with cross-functional teams to translate research findings into innovative techniques and products.

2. Documentation & Reporting:

• Analyze research data, generate detailed reports, and communicate results effectively to supervisor.

3. Additional Duties:

• Support broader R&D objectives by undertaking additional responsibilities as required.

Required Qualifications:

• Degree in Food Science, chemistry or a closely related field.
• Knowledge of fats, proteins and emulsions, with research experience in food systems.
• Strong problem-solving skills, creativity, and a collaborative team-oriented mindset.

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-%28Urban-Water-Management-%29/33428-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The Department of Architecture at NUS invites applications for multiple research positions within an interdisciplinary research project about urban ecosystem services. Successful candidates will join a dynamic and collaborative team engaged in large-scale, externally funded projects addressing pressing urban challenges in Singapore and globally. The positions offer a supportive research environment, competitive remuneration, and access to state-of-the-art facilities.

The research fellow is expected to join at the end of 2026. The position is a one-year appointment and might be renewed up to 3 years based on the performance and career plan of the hired person.

Responsibilities 
•    Conduct flood risk analysis for residential precincts
•    Develop and calibrate runoff models (e.g., InVEST)
•    Perform water quality and hydrological analysis
•    Publish scientific findings

Qualifications

•    PhD in Urban Hydrology, Water Management, or related field
•    Experience in hydrological modelling and simulation
•    Strong statistical and data analysis skills
•    Familiarity with GIS and environmental modelling tools
•    Ability to work independently and manage research timelines

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%2C-School-of-Computing/33417-en_GB/?st=A55755FF81B4A3D34A21E0374435BE769288FA37

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for the position of Research Assistant (RA) in the Department of Computer Science, School of Computing (SoC). SoC is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights, developing novel computational solutions to a wide range of applications, building large-scale experimental systems and improving the well-being of society. We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and Information Systems

We are seeking a motivated research assistant to join a research group focused on scaling cooperative intelligence via rational, model-based AI engineering. The Research Assistant will be responsible for working closely with the Principal Investigator in one or more of the following research areas: (i) human-like cooperative agents; (ii) cooperative infrastructure for humans and AI; (iii) probabilistic programming and model-based planning.

Enquiries can be sent to the Principal Investigator, Dr Tan Zhi Xuan at dcsv402@nus.edu.sg.
Only shortlisted candidates will be notified.

Job Requirements

Successful candidates should have at least a Bachelor's degree in Computer Science or a related field. They should possess strong programming skills, and demonstrate a solid foundation in mathematics and statistics. Research experience in AI, computational cognitive science, or related fields is highly desirable. Familiarity with the following areas is useful: probabilistic programming languages, Bayesian modeling, planning algorithms, multi-agent systems, LLMs.

Alexandra Hospital (AH) is seeking a motivated Research Assistant / Research Associate to support health services and clinical research. Working with a dedicated research team in AH, you will contribute throughout the research lifecycle - from protocol development to dissemination. 

Roles & Responsibilities

Core responsibilities 

• Project coordination and management, including ethics submissions and follow‑up.
• Contribute to research protocol development and study documentation.
• Primary data collection (e.g., surveys, interviews, chart reviews) and data entry, basic data cleaning, and preliminary analyses.
• Conduct quantitative and/or qualitative analysis under supervision.
• Undertake literature reviews, including systematic reviews.
• Contribute to scientific manuscripts, reports, and support dissemination of findings (seminars, presentations).
  
  

Additional / advanced responsibilities (experienced RA):

• Specialised skills in health economics evaluation/ implementation research/AI in health/ health services outcomes research will be an advantage.
• Conduct independent systematic reviews and meta‑analyses.
• Perform advanced statistical analyses and data interpretation.
• Support grant applications (concept notes, methods, budgets).

Qualifications & Requirements

• Bachelor’s or Master’s degree in health sciences, public health, life sciences, psychology, social sciences, or related fields.
• At least two years’ work experience, ideally in health‑related research.
• Experience using Stata, SPSS, and/or NVivo.
• Fluent in written and spoken English.
• Desirable: Experience working with electronic medical records (EMR).
• Track record of publication (e.g., authorship on scientific papers).

If the role sounds interesting to you, please contact ‘careers_alexandra@nuhs.edu.sg’ to understand more on the role. Please indicate the position that you are interested in the subject heading.

*Only Singapore Citizens and Singapore Permanent Residents may 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/Research-Fellow-%28Embodied-Robotic-Manipulation%29/33422-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The postdoctoral position focuses on advanced research in robotic systems and embodied intelligent technologies, particularly robot multimodal perception, 3D scene understanding, vision-guided manipulation, and autonomous robotic operation in complex environments. Research topics include, but are not limited to, robotic multimodal perception and sensing, object pose estimation/tracking, robotic closed-loop manipulation, intelligent robotic platforms, and integrated perception-planning-control systems. The appointee will be responsible for conducting high-impact research, developing robust robotic perception and manipulation systems, building and validating robotic platforms in real-world scenarios, publishing in top-tier journals and conferences, supporting research proposal preparation, and mentoring junior students.

Qualifications

Candidates should have a Ph.D. in Robotics, Control Science and Engineering, Automation, or related disciplines.

Candidates with prior postdoctoral research experience will be preferred.

Applicants should demonstrate strong expertise in robotic systems, with experience in one or more of the following areas: robot perception, 3D machine vision, object pose estimation/tracking, vision-guided manipulation, autonomous robotic systems, or perception-planning-control integration.

Hands-on ability in robotic platform development, system integration, experimental validation, programming, and real-world deployment is highly desirable.

A strong track record of publications in top-tier journals and conferences, the ability to work independently, experience in research proposal preparation or student mentorship, and good communication skills in English are required.

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-%28Biological-Sciences%29/33316-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The Molecular Breeding Laboratory at the Lee Hiok Kwee Functional Genomics Laboratories, Department of Biological Sciences led by Associate Professor Chew Fook Tim, is currently looking for TWO Research Fellows with relevant PhDs, and TWO Research Assistants with BSc(Hons) degree or MSc in relevant fields and background, to join the project on the Molecular Breeding of Leafy Greens and Fruiting Vegetables / Seed Innovation Hub.

The work would include:

• Large-scale Global Germplasm Evaluation and Assessment,
• Key Deep Phenotypic Definition and Evaluation, including molecular, cell culture-based and biochemical bioassays,
• Characterization of Genetic Control, Genome-wide Associations, and Functional Characterization of Candidates,
• Crossing, Cultivar and Lines Development,
• Integration of Genomic Data into Cultivation Processes,
• Multi-Location Trial Evaluations, 
• Project Management of External Collaborations, and
• Scientific Communications and Publications.

Qualifications

PhD Degree in Science and in related fields.

Skills:

• Strong motivation and leadership in pursuing challenging scientific questions.
• An ability to work well with interdisciplinary colleagues.
• Experience in mentoring and training junior researchers (including undergraduates and polytechnic interns).
• Excellent written and interpersonal communication skills.
• Good time and resource management skills.

Experience:

• Experience in Bioinformatics / Genetics / Statistics is mandatory and should be able to code in R.
• In addition, experience in Plant Molecular Biology techniques including CRISPR and Functional Characterization of Genetic Control, Large Scale -omics Technologies, and Data Analysis, would be an advantage.

Key Responsibilities:

· Assist team leaders in servicing an existing portfolio of SGX-listed and privately-owned companies to help them achieve their IR/PR objectives.

· Maintain regular communication with C-Suite executives to understand their IR/PR objectives and plan or refine their IR/PR roadmap accordingly.

· Prepare relevant communication collateral including corporate presentations, factsheets, press releases, website information, and quarterly/yearly financial reports, that incorporate clients’ positioning and key messages.

· Co-develop and execute IR/PR strategies on a case-by-case basis effectively based on clients’ requirements among the targeted audiences such as analysts, investors, and media.

· Organise and coordinate investor meetings, conferences, and media interviews for clients.

· Proactively seek out media feature opportunities, whether corporate or personality profiling, to improve clients’ publicity and awareness in Singapore and the region.

· Carry out media monitoring for clients and prepare summary reports of IR-related activities

· Experience or knowledge in sustainability reporting and Environmental, Social, and Governance (ESG) principles.

Candidate Criteria:

· Bachelor’s Degree in Business Administration, Communications, Economics, Finance, or a related field.

· Candidates without experience are welcome to apply; candidates with 2-3 years of relevant experience will have an advantage.

· Experience in journalism, finance, asset management, investment analysis, or corporate communications (agency or in-house) is highly desirable.

· Organizational skills with attention to detail, and presentation, interpersonal, and project management abilities.

· Able to meet tight deadlines, work effectively under pressure, and consistently deliver high-quality work.

· Proven ability to multi-task and work independently as well as collaboratively within a team.

· Self-motivated, responsible, and possessing a positive work ethic.

· Available on short notice and able to commence work immediately.

Join our team and make an impact! Interested candidates are encouraged to submit their resume and cover letter to recruitment@financialpr.com.sg. Please include a detailed resume highlighting your qualifications, relevant experience, and motivation for applying. We look forward to hearing from you!

All applications will be treated with strict confidentiality.
(We regret that only shortlisted candidates will be contacted.)

About Us:

The National Cancer Centre Singapore (NCCS) is a leading national and regional tertiary cancer centre, attending to most of patients with cancer in Singapore’s public healthcare sector. We offer world class oncology care by having the best talent, giving the best care and doing the best research to improve cancer outcomes. Join us to build a meaningful career and offer patients hope for a cancer-free tomorrow.

About the Role:

The Division of Supportive and Palliative Care (DSPC) seeks a dynamic and compassionate individual to join our young and dynamic research team. Our research projects seek to improve care for patients with cancer, heart failure and other serious illnesses by developing, evaluating and implementing novel models of healthcare service delivery for palliative care, including the use of artificial intelligence.

You will perform a variety of activities under the supervision of the Principal Investigator and/or her designate.

Key Responsibilities:

- Screen and recruit research participants.

- Conduct semi-structured interviews or surveys with research participants at various settings (e.g. in-patient, out-patient, residential settings, virtual settings).

- Extract clinical data from medical records.

- Enter and manage study data.

- Assist in literature reviews and survey development.

- Assist with preparation of presentations and manuscripts.

- Attend to the administrative and logistic needs of research projects, including IRB submissions and report writing.

- Be involved in educational research activities.

Job Requirements:

- Bachelor’s degree in life sciences or social sciences or with 2 years of relevant experience in these fields.

- Prior experience or evidence of knowledge in conducting interviews/survey research/ scientific writing would be advantageous.

Job Summary

Role Overview

You will help leadership build and manage a balanced research portfolio — spanning themes, maturity levels, risk profiles, funding sources, and paths to real-world impact. You will develop investment cases, lead resource planning, and ensure that the institute’s research bets are strategically sound.

Key Responsibilities

• Support long-term research portfolio planning across themes, maturity levels, risk profiles, funding sources, and paths to impact.
• Develop investment cases and decision papers to support leadership discussions on major research bets and capability-building.
• Evaluate programmes based on scientific excellence, strategic relevance, and potential for real-world impact.
• Lead long-term planning for budget, headcount, infrastructure, compute, data, and platforms to support the institute’s goals.
• Partner with finance, HR, operations, IT, and research teams to align resource planning with strategic priorities.

Requirements

• Degree in science, engineering, business, finance, operations, or a related field; experience in R&D portfolio planning or resource management is advantageous.
• Strong understanding of research portfolio management, resource planning, budgeting, headcount planning, and programme evaluation.
• Ability to develop investment cases, decision papers, portfolio analyses, and resource plans for senior leadership.
• Strong cross-functional coordination skills, with experience working across research, finance, HR, operations, and IT teams.

Career Growth & Impact

• Manage a portfolio at national scale. You will oversee research investments spanning multiple domains, risk profiles, and funding sources — the kind of breadth usually found only at global R&D organisations.
• Influence major investment decisions. Your analysis and recommendations will directly shape which research bets the institute makes — and where it builds new capabilities.
• Build a versatile, cross-functional skill set. You will work at the intersection of science, finance, operations, HR, and IT — experience that is highly transferable across sectors.
• Accelerate your career. A strong foundation for progression into senior research management, chief-of-staff roles, or leadership positions in national research planning.
• on management.

Key Responsibilities

• Develop data-driven energy disaggregation models to estimate machine-, process-, and batch-level energy consumption from aggregated or limited metering data.
• Design and implement energy monitoring, analytics and benchmarking algorithms for energy performance tracking, anomaly detection, and causal analytics related to energy-saving of industrial equipment and manufacturing processes.
• Conduct experiments, model validation, and performance evaluation using industrial datasets.
• Work closely with project partners, engineers, and researchers to translate research outcomes into deployable industrial solutions.

Requirements

• Bachelor’s or Master’s degree in Electrical Engineering, Mechanical Engineering, Computer Science, Data Science, Industrial Engineering, or a related field.
• Strong programming skills in Python, with experience in data analytics, machine learning, and time-series processing.
• Knowledge of energy systems, power consumption analysis, industrial equipment, or manufacturing processes.
• Experience with machine learning techniques for regression, classification, anomaly detection, forecasting, or signal disaggregation.
• Ability to process and analyze large-scale time-series datasets.
• Good problem-solving skills and ability to work independently in applied research and development projects.
• Good written and verbal communication skills.

Preferred Qualifications

• Experience in non-intrusive load monitoring, energy disaggregation, virtual sensing, or industrial energy analytics.
• Experience with deep learning frameworks such as PyTorch or TensorFlow.
• Experience with causal analytics.
• Knowledge of manufacturing systems, additive manufacturing, CNC, heat treatment, pumps, compressors, motors, or other industrial equipment.
• Prior experience in applied R&D projects with industry partners is an advantage.

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

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

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28Mathematics%29/33402-en_GB/?st=27EA650B338B5E357BE8807DDBD8CC0F4FE85C73

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Prof. BAO Weizhu and his research group at NUS on modeling and simulation for semiconductor devises and scientific machine learning methods for PDEs arising from emerging applications.

The main responsibilities of the position include working with the PI and his research group on developing and analyzing efficient and accurate numerical methods for partial differential equations and related problems from different applications including semiconductor devices.

Qualifications / Discipline:  
•    PhD in Mathematics or applied science or equivalent

Skills:  
•    Modelling and simulation, computational science and engineering, scientific machine learning, etc. 

Experience:   
•    Research experience in modelling and simulation, and computational science and engineering including semiconductor devices.

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-%28Quantum-Engineering%29/33413-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are seeking a highly motivated Research Fellow to join our growing team developing next-generation electrical interfaces to diamond quantum sensors based on nitrogen-vacancy (NV) centers. The successful candidate will lead efforts to develop novel electrical readout, control, and sensing architectures that complement or potentially replace conventional optical detection methods.

The research will combine semiconductor device physics, quantum sensing, spin-dependent transport, and diamond electronics, with opportunities to explore hybrid platforms involving two-dimensional materials, field-effect devices, and advanced electrical detection techniques.

Key Responsibilities

•    Electrical interfaces for diamond quantum systems: Lead efforts to develop and optimize electrical approaches for detecting and controlling NV-center spin and charge states, including device design, fabrication, and characterization.
•    Semiconductor device architectures: Explore p-i-n, Schottky, field-effect, and related device structures for integrating diamond defects with electrical readout and control platforms.
•    Spin-dependent transport and recombination: Investigate spin-dependent electrical, optical, and recombination processes in diamond and related defect systems for quantum sensing applications.
•    Diamond–hybrid devices: Develop hybrid device architectures incorporating diamond with novel and/or CMOS-compatible materials, including graphene, silicon nitride, or other functional layers for electrical transduction.
•    Device modelling and simulation: Model carrier transport, charge-state dynamics, photoelectric processes, recombination pathways, and electrostatic device behaviour to guide experiments and optimize device performance.
•    Team collaboration and mentorship: Work closely with PhD students, research engineers, and undergraduate researchers while contributing to the growth of a multidisciplinary research programme.
•    Cross-disciplinary exploration: Engage with applications spanning quantum sensing, integrated electronics, semiconductor diagnostics, quantum materials, and bioelectronic sensing.

What We Offer
•    Opportunity to pioneer new approaches to electrical quantum sensing and spin-based technologies in diamond.
•    Access to state-of-the-art facilities for diamond characterization, device fabrication, optics, microwave engineering, and electrical measurements.
•    Freedom to pursue ambitious and innovative research directions at the intersection of quantum technology, semiconductor electronics, and advanced sensing.
•    Participation in building a new research programme from the ground up, with significant opportunities for intellectual leadership, technology development, and independent project ownership.
•    Strong emphasis on translation beyond academic publications, including the development of enabling technologies, prototype systems, intellectual property, and real-world sensing applications.
•    Opportunities to contribute to patent generation, technology commercialization, industry partnerships, and potential future spin-out ventures arising from the research.
•    Exposure to a broad range of application areas, including semiconductor diagnostics, advanced manufacturing, quantum instrumentation, materials characterization, healthcare technologies, and next-generation sensing systems.
•    Collaboration with experts across quantum sensing, nanofabrication, semiconductor devices, materials science, photonics, and engineering.
•    Strong support for publishing impactful research while simultaneously pursuing technologies that can deliver tangible scientific, industrial, and societal benefits.

Job Requirements

Job Requirements
•    PhD in Physics, Electrical Engineering, Materials Science, Applied Physics, or a closely related field.
•    Strong background in one or more of the following:
     o   Semiconductor device physics
     o   Quantum sensing or spin physics
     o   Diamond defects and color centers
     o   Electronic transport measurements
     o   Semiconductor characterization techniques
•    Experience with electrical device fabrication and characterization, including Schottky diodes, p-i-n structures, FETs, or related semiconductor devices.
•    Familiarity with low-noise electrical measurements, RF electronics, lock-in techniques, impedance spectroscopy, capacitance measurements, or microwave spin-resonance methods.
•    Experience with carrier transport simulations, semiconductor modelling, finite-element analysis, or device design tools is advantageous.
•    Knowledge of NV centers, spin-dependent recombination, charge-state physics, PDMR, ODMR, or related quantum defect systems is desirable but not strictly required.
•    Experience with graphene, hBN, other two-dimensional materials, or hybrid quantum-semiconductor devices would be highly advantageous.
•    Strong publication record, scientific communication skills, and ability to work independently while contributing effectively within a collaborative team.
•    Open to Fixed Term Contract.

School of Electrical and Electronic Engineering (EEE) 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 undergraduate students and 2,000 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

EEE / Satellite Research Centre (SaRC):

SaRC is dedicated to performing R&D projects in space science and technology. SaRC has successfully developed, launched, and operated 13 satellites in orbit (2023). The Centre has more than 12 years of accumulated experience and data for satellite design and operation. SaRC has a full-fledged of facilities to realize spacecraft simulation, testing, integration, and operation. The engineering laboratory, clean rooms and mission control room are equipped with specialized equipment such as the thermal vacuum chamber and S/X band 6.1m antenna dish. SaRC is working closely with local SME, regional MNC, universities, and space agencies. The objective is to share and collaborate with international expertise to achieve excellence in space.

Key Job Purpose:

We are looking for a Research Associate to work on data assimilation system for regional numerical weather prediction (NWP) system. The role will focus on exploring and adding new space-based observations in the next-generation NWP system jointly developed by the Climate and Weather Research Alliance Singapore (CAWRAS). The candidate needs to have a good working knowledge in data assimilation methods such as 3D/$D-var, Ensemble methods and Kalman filters. Familiarity w JEDI-based data assimilation system is a good advantage. Prior knowledge and experience in satellite observation, pre-processing, quality control, error modelling and correction are an advantage. Good programming experience is required (eg: Python, Fortran, C++).

Key Responsibilities:

• Assimilate new satellite observations

• Analyze the impact of data assimilation on weather prediction

• Perform data-preprocessing, quality control, error modelling and correction

• Write reports and scientific publications

Job Requirements:

• Master qualification degree in Engineering or Computer Science or related field

• Familiarity w data assimilation and data processing

• Good written and oral communication skills

• Proficiency in programming and analysis

• Competent in data analysis and quality control

• Ability to work independently and as a team member

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

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

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28Biological-Sciences%29/33323-en_GB/?st=B5FA154F06D36FC5269C150E5001D81FCD76013F

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with A/P Lau On Sun on studying the production of stomata in plants under a project on Singapore Indoor Farming System.

The main responsibilities of the position include:
running a project in the lab where we aim to study the production and behavior of stomatal guard cells in plants. The work will involve the generation of transgenic plants, analyses of plant varieties and mutants, performing light and confocal microscopy, image analyses, and various in vitro and in vivo biochemical, molecular, and genomic analyses. The Research Fellow is also expected to mentor and train junior members in the lab.

Qualifications

PhD in Plant Molecular Biology, Cell Biology, Developmental Biology or related field.

Skills:
Expertise in basic and advanced molecular biology, biochemical, and genetic techniques in Arabidopsis and other relevant plant model systems (e.g. gene cloning, in vitro protein assays, protein-protein interaction, crossing and phenotyping plants, etc.) and microscopic analyses (e.g. light and fluorescent microscopy and imaging analyses).

Experience:
At least 4 or more years of related laboratory experience in molecular genetics in plants. Experience working with Arabidopsis and other plant species and have at least one submitted/accepted manuscript in reputable journals in relevant fields will be preferred.

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 2,000 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 looking for a Research Fellow to work on Multimodal Intelligence. The role involves developing and advancing novel algorithms for emerging challenges in Multimodal Intelligence, including Multimodal understanding and generation. The candidate is also expected to mentor students, lead research projects, and contribute to grant proposal development.

Key Responsibilities:

• Conduct cutting-edge research and publish in leading conferences and journals

• Mentor and supervise students in research projects

• Contribute to the development of grant proposals

• Provide general support for lab activities

Job Requirements:

• PhD degree in Electrical Engineering, Computer Science, or related field

• Knowledge and experience in computer vision, machine learning, and deep learning

• Good written and oral communication skills

• Experience in leading research projects

• Proficiency in basics of programming languages such as Python

• Demonstrates initiative and a strong drive to achieve objectives.

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

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 2,000 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 looking for a Research Assistant to work on world model. The role will focus on developing, designing, and implementing novel algorithms and models to address emerging problems in world model, Multimodal Large Language Models and Video Diffusion Models.

Key Responsibilities:

The research assistant will focus on the following tasks

• Data collection and processing

• Conducting experiments and analyzing results

• Providing general support for the lab

Job Requirements:

• Bachelor’s degree in Electrical Engineering, Computer Science, or related field

• Knowledge and experience in world model, computer vision and deep learning

• Good written and oral communication skills

• Proficiency in basics of programming languages such as Python

• Demonstrates initiative and a strong drive to achieve objectives.

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

Job Description

We are seeking an Investment Professional to cover investment research in commodities, specifically, base metals and ferrous metals sector.

This role will work closely with the rest of the investment team to conduct in-depth research and analyze data on base metals and ferrous metals market, develop strategic portfolio plans aligned with risk-return objectives, assess and quantify risks associated with investment decisions, and collaborate with cross-functional teams while ensuring compliance with regional regulations.

This role needs to consistently act with integrity, due skill, care and diligence, uphold ethical standards, pay due regard to the interests of investors and treat them fairly by avoiding conflicts of interest.

Requirements

1. Education: Master's degree in finance, economics or a related field.
2. Experience: Minimum 6 years of experience in global base metals and ferrous metals research, trading and risk management.
3. Market Expertise: Deep knowledge of global base metals and ferrous metals markets, supply chains, regulatory frameworks and derivatives market.
4. Technical Skills: Proficiency in fundamental analysis of base metals and ferrous metals market and trading/risk platforms.
5. Soft Skills: Strong analytical thinking, strategic planning, cross-functional communication, and the ability to thrive in fast-paced, volatile environments.

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

Job Purpose

The Research Fellow / Research Engineer (with focus on MedTech / HealthTech Engineering) will support applied research and innovation in community and allied health by translating clinical and operational needs into engineering requirements, prototypes, technical evaluations, deployment support and evidence reports. The role focuses on hands-on medtech / healthtech engineering, project coordination and implementation support for healthcare projects.

This role is focused on MedTech / HealthTech Engineering. The candidate should have good project-management discipline and experience coordinating engineering, prototyping, testing or implementation workstreams with clear outcomes delivered. The Research Fellow / Research Engineer will support academic staff and project leads, and contribute his/her assigned share to team-level KPI targets through practical engineering and deployment outputs.

Key Responsibilities

Applied Research & Development

• Translate clinical needs assessment and workflow analysis into engineering requirements for organisational innovation transition, focusing on but not limited to community and aged care settings, nursing homes, hospitals, home-based care and palliative care settings.
• Develop medtech / healthtech solution concepts, technical specifications and prototype roadmaps for organisational transition, focusing on but not limited to long-term bedridden patient care, caregiver workload reduction, care automation and assistive technologies.
• Develop and execute healthcare innovation projects by supporting design, prototyping, testing, technical evaluation, data collection and implementation for Proof of Concept (POC) and deployment in community-care or healthcare settings.

Industry Collaboration

• Support collaborations with industry and healthcare partners to understand technical problem statements, user requirements, operating constraints and integration needs, and contribute to practical engineering solution development.
• Assist in project scoping by gathering engineering, technical, integration and validation inputs, and by identifying relevant capabilities within the ecosystem (IHLs, research centres, industry partners).
• Participate in industry meetings, discussions, and project engagements.

Project Execution & Support

• Assist Professional Officers, faculty and project leads in planning, coordinating and executing assigned medtech / healthtech engineering workstreams, including timeline tracking, documentation and follow-up on deliverables linked to the committed KPI areas: service volume, innovation initiatives, value capture, manpower training and ecosystem establishment.
• Generate technical reports, presentations, design notes, prototype records, test plans, validation summaries, deployment trackers and evidence documentation on the development, validation, deployment and value capture of healthcare solutions and applications.
• Contribute to grant proposals and project submissions where required.
• Track project progress and maintain proper documentation of milestones, deliverables, risks/issues, partner inputs, funding status and measurable outcomes for assigned projects.
• Support the IaaS Center for Community and Allied Health Innovation in achieving team-level KPI outcomes through assigned engineering, technical documentation and project support tasks.
• Contribute to assigned analytics workstreams and projects, including data analytics projects and digital dashboard development for industry partners, hospitals, aged care homes, and non-profit organisations, encompassing proposal development, partner engagement, analytics scoping, and project documentation.
• Coordinate assigned workstreams within the team's innovation portfolio, supporting the delivery and deployment of new or improved products, processes, and services to healthcare and community organisations, while monitoring implementation, adoption, and analytics evidence to support value-capture documentation.
• Support training, demonstration, and workshop delivery for company employees and healthcare professionals, contributing to the team's capability-building and knowledge-transfer goals.
• Role-specific skill focus — MedTech / HealthTech Engineering: translate user and clinical needs into engineering requirements; support design, prototyping, testing, validation, integration and deployment; prepare technical documentation and evidence for KPI and project-outcome reporting, including outreach to companies and/or healthcare providers; and translate engineering findings into practical recommendations for Professional Officers, faculty, project leads and healthcare partners.

Job Requirements

• Bachelor's degree with 5+ years experience OR Master's degree with 2+ years experience in Biomedical Engineering, Mechanical Engineering, Electrical / Electronic Engineering, Computer Engineering, HealthTech, MedTech, Product Development, Clinical Engineering or related disciplines with relevant experience in engineering, prototyping, product development or healthcare innovation related work.
• Strong knowledge and experience in clinical workflows, particularly in hospitals, nursing homes, home-based care, palliative care settings and other community care settings.
• Hands-on experience in clinical validation studies, including patient needs assessment and usability testing, is highly advantageous.
• Possess understanding of healthcare innovation concepts (e.g., medtech / healthtech development, prototyping, care automation, commercialisation, health economics and value capture).
• Strong analytical skills and attention to detail. Excellent written and verbal communication skills.
• Resourceful, meticulous and problem-solving attitude.
• Experience supporting or coordinating industry or applied research projects, preferably involving medtech / healthtech engineering, biomedical devices, assistive technologies, digital health, care automation, clinical workflow optimisation or healthcare innovation solutions.
• Ability to document project outputs, implementation progress, stakeholder benefits and other measurable outcomes for assigned work.
• Experience supporting project proposals, funded projects or partner engagements will be advantageous.
• For this MedTech / HealthTech Engineering role, relevant experience in engineering design, prototyping, testing, technical validation, product development, system integration, biomedical devices, assistive technologies, sensors, digital health solutions or equivalent engineering methods is required.
• All Research Fellow / Research Engineer must possess project-management skills and experience managing or coordinating projects/workstreams with good outcomes delivered, including scope, timeline, stakeholder coordination, risk/issue tracking and documentation.

Key Competencies

• Possess understanding of healthcare challenges faced by industries locally and globally, particularly in the community and aged care sectors.
• Strong interpersonal and communication skills to communicate effectively with industry partners and stakeholders.
• Ability to work collaboratively in a cross-functional and multidisciplinary environment.
• Proactive approach to continuous learning and development in the healthcare innovation field.
• Proficient in technical writing and presentation.
• Possess good analytical and critical thinking skills.
• Shows good initiative and takes ownership of work undertaken.
• Project management skills, including planning and execution of medtech / healthtech engineering and implementation projects.
• Project-management discipline to support assigned workstreams, monitor timelines and dependencies, escalate risks, and complete agreed tasks that contribute to team targets.
• Outcome orientation, with ability to document project outputs, stakeholder benefits, implementation progress and individual contribution within a team-based delivery model.
• Capability in medtech / healthtech engineering, including requirements translation, prototyping, testing, validation, integration, technical troubleshooting and preparation of concise reports.
• Ability to coordinate stakeholders, monitor timelines and risks/issues, and deliver assigned project outcomes with clear documentation.
• Ability to work as part of a coordinated delivery team, with clear documentation of assigned engineering outputs, validation evidence and project outcomes toward the overall KPI commitments.