Total 1,350 job vacancies in Singapore

Job Description

The Ho lab is a world leader in the study of small open reading frame–encoded peptides (SEPs), with particular expertise in identifying novel peptides essential for mitochondrial function and metabolism. We previously discovered new mito-SEPs (mitochondrial sORF-encoded peptides) (Zhang et al., 2020, Nature Communications) and are working on defining their molecular functions, with a special focus on the those involved in immune-metabolism. Through this work, we aim to uncover new concepts in the metabolic regulation of immune function. The lab uses a combination of bioinformatics, biochemistry, animal modelling, CRISPR screening and single-cell omics in human and mouse systems to understand how mito-SEPs regulate cellular processes related to energy production. For more information, please visit www.ho-lab.org.

We are seeking a collaborative, dynamic and self-motivated Senior Research Fellow to join the team. The selected candidate will perform a variety of research activities, including but not limited to the following:

• Conduct research to address how oxidative phosphorylation and its associated metabolites control innate and adaptive immunity against pathogen infection.
• Write and review research papers, present research outcomes, conceptualise new ideas and develop plans for independent research which could have a considerable influence and impact on the relevant field attracting research funding.
• Provide support for external grant/protocol development, study design and management of research activities.
• Maintain optimal experiment progress in the laboratory or in the research work undertaken.
• Perform other related duties incidental to the work described therein.

Job Requirements

• PhD in a related scientific area and/or post-graduate medical degree with at least 3 years of relevant research experience.
• Possesses expertise and interest in the following areas: Mitochondrial biology, innate and adaptive immunology, immuno-metabolism, inflammation or host-pathogen immune interactions, bioinformatics surrounding metabolic modelling, single-cell or spatial transcriptomics, and mouse models of infection and inflammation.
• Knowledge of the scientific background relevant to the research area and laboratory experimental skills.
• Proven track record in the form of high impact publications.
• Demonstrated capability of research independence progressively.
• Strong writing and critical thinking skills, as well as good communication and presentation skills.
• A team player who is able to prioritise, multi-task and work collaboratively in a diverse workforce.

We regret that only shortlisted candidates will be notified.

• Liaison person with Principle Investigator (PI), site-PI and various departments for clinical research procedures e.g. Specialist Clinics, Laboratory, wards, etc.
• Plan, organise and coordinate the workflow of the research study
• Adhere to protocol procedure
• Screen research participants for eligibility according to research protocol
• Enrol research participants and ensure their compliance to research procedures
• Explain protocol to research participants and ensure that informed consent is taken as per
• International Council of Harmonisation Clinical Practice (ICH-GCP) and Human Biomedical Research Act (HBRA) requirements
• Schedule appointments for research participants within the time frame required in the protocol
• Arrange for clinical/ laboratory tests and investigations; update schedule visit logs
• Draw, centrifuge blood specimens and send specimens to laboratory or store specimens in accordance with requirement of research protocol
• Assist in the completion and maintenance of biological specimen logs
• Tracing and returning of case notes, blood results and all other results required in the protocol.
• Assist with the completion and maintenance of investigational product receipt, storage, accountability, dispensing and disposal records
• Assess subject’s condition; coordinate physical examinations per protocol; record medical drug history according to protocol
• Collect and maintain data, as well as provide study reports
• Documentation of patient reimbursement logs
  Filing and documentation of paper and electronic case report forms
• Maintain investigator files and source documentation for each patient accordance to protocol requirements.
• Identify, document and submit protocol deviations to Institutional Review Board (IRB) according to hospital and sponsor procedures
• Inform PIs, Co-Investigators, collaborators and study team members on any adjustments based on protocol change
• Complete, report and follow up on unanticipated problems involving risk to subjects and adverse events and/or serious adverse events
• Traveling to research participants’ house may be required

Others

• Perform quality checks on studies as Institution Monitor (where applicable)
• NHG Committee of Practice (CoP) or Faculty member in CRC Society (where applicable)

JOB REQUIREMENTS
(A) EDUCATION, TRAINING AND EXPERIENCE

• Degree in health sciences, nursing, pharmacy, clinical research or related field
• Minimum Diploma or specialized diploma in the above
• At least 3 years of experience in conducting clinical trials or research

Jobs Description :

• Assist in the design, development, and testing of new geospatial technologies and applications
• Collaborate with cross-functional teams to identify and implement innovative solutions to complex problems
• Conduct research, data analysis, and experimental testing to support the development of new products and services
• Contribute to the documentation and reporting of research findings and project progress
• Provide technical support and troubleshooting to internal teams and clients as needed
• Stay up-to-date with the latest trends, technologies, and best practices in the geospatial industry

Requirements :

• Bachelor's degree in a relevant field, such as engineering, computer science, or geospatial science
• Strong analytical and problem-solving skills with the ability to think critically and creatively
• Proficiency in using geospatial software and tools, such as GIS, remote sensing, and data processing applications
• Excellent attention to detail and a commitment to maintaining high-quality standards
• Effective communication and teamwork skills, with the ability to collaborate with cross- functional teams
• A passion for research, technology, and continuous learning

Job duties and responsibilities:

• Design new products and continually improve existing products to meet industry standards and customer requirements.
• Develop technical manuals and Instruction Operating Manuals for products, ensuring accuracy and usability.
• Prepare, review, and verify design drawings, detailed specifications, and fabricated drawings for compliance with technical standards.
• Create Bills of Materials (BOMs) and ensure accurate documentation.
• Order materials and supplies; monitor the progress of fabrication and installation to ensure alignment with design specifications and schedules.
• Perform quality control checks to ensure the integrity of materials, components, and final products.
• Update and maintain design records, project databases, and documentation for traceability and reference.
• Track and coordinate the delivery of goods and materials to meet project timelines.
• Collaborate with cross-functional teams, including procurement, production, and project management, to address technical challenges.
• Provide technical support and guidance to the fabrication and installation teams during project execution.
• Identify opportunities for cost optimization, design innovation, and process improvement.

Job Requirements:

• Degree or Diploma in Mechanical, Precision, Tool, and Die Engineering, or a related field.
• At least 2 years of experience as a Design Engineer.
• Proficiency in drafting software such as AutoCAD, SolidWorks, 3D modeling software, or equivalent.
• Experience in Marine Hydraulic Applications, with knowledge of valves and actuators, as well as gear design (e.g., spur gear, planetary gear, bevel gear).
• Understanding of forging, casting, and precision CNC machining processes.

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-%28Surgery%29/32437-en_GB/?st=C164281FA4432A38DE2689B3AAF288E00623F23F

We regret that only shortlisted candidates will be notified.

Job Description

Cardiovascular disease remains the top killer and accounts for one third of death worldwide. We are looking for a highly motivated Research Fellow candidate aiming at identifying new therapeutic targets and developing engineered extracellular vesicle or lipid nanoparticle-based RNA delivery system for treatments of cardiovascular diseases in the Yong Loo Lin School of Medicine at National University of Singapore. The candidate is expected to work independently in a dynamic and multidisciplinary environment. The candidate will perform a variety of molecular cell biology assays, drug formulations and in vivo experiments in mice, ranging from daily care to surgical procedures and the interpretation of the results. Apart from own projects, the candidate may supervise junior staff and students, and provide support to the research group, as delegated by the PI. The appointment is on a 1-year contract base in the first instance with a possibility of extension. The candidate will be responsible to, and work closely with, the PI and study team members to ensure the successful completion of the experiments in time.

The candidate will organize and coordinate the experiments, analyze the data, write up experiment reports and manuscripts for publication in time.

The candidate will be able to:

1. Oversee the general management of the project; 
2. Work independently: conduct literature search, design and perform experiments, analyze data, prepare both progress and final reports of the project, and write up manuscripts
3. Maintain the highest standard of professional conduct and record-keeping in accordance with policies and procedures; 
4. Provide daily supervision to junior staff or students when necessary
5. Provide support to the research group, including grant applications, as delegated by the PI.

Qualifications

1. A PhD degree in pharmacology or biomedical research; prior postdoctoral work experience is preferable.
2. An excellent publication record in drug delivery or nanomedicine.
3. A strong expertise in engineered extracellular vesicle design or lipid nanoparticle synthesis, with extensive experience in animal studies.
4. Ability to work independently and in a team, an investigative nature and attention to details.

Remuneration will be commensurate with the candidate’s qualifications and experience. The candidate is eligible for NUS staff welfare including medical insurance.

Only shortlisted candidates will be notified.

The Role

You will research and experiment with what drives visibility in AI-powered search engines such as Perplexity, ChatGPT, and Gemini. This is a hands-on research and engineering role — you will design experiments, build models, and see your work directly impact the product.

What you will do:

• Design and run experiments to identify and validate GEO ranking factors
• Develop and iterate on algorithms and scoring models
• Analyze large-scale data to extract actionable insights
• Work closely with the founding team to translate research into product features

What We’re Looking For

Must-have

• PhD (fresh graduate) or Master’s degree with 1 year of relevant experience
• Strong foundation in machine learning, NLP, or information retrieval
• Solid experimental mindset — able to design tests, analyze results, and draw conclusions
• Curious, fast learner, comfortable exploring territory without a map

Nice to have

• Familiarity with how LLMs process and retrieve information
• Experience with search, ranking, or recommendation systems
• Any prior exposure to SEO or content analytics

No prior GEO experience needed — we will learn together.

Research& Data Executive

Your Mission

Build and maintain a high-quality prospect database that powers effective marketing and sales campaigns for our international training events.

What You'll Be Doing

·      Research and profile target companies and decision-makers using available online resources —LinkedIn, company websites, industry directories, trade publications, and professional networks

·      Build and expand new prospect databases through digital research, social platforms, and professional networks

·      Verify and enrich existing database records by cross-referencing multiple sources and direct outreach where needed

·      Maintain accurate and up-to-date client records in the CRM, ensuring data integrity at all times

·      Monitor industry news, events, and professional communities to identify emerging prospects and market shifts

·      Track and meet KPIs around database quality, data accuracy, and lead-to-conversion rates

·      Collaborate closely with the Sales and Marketing teams to align prospect targeting with upcoming training events

·      Flag insights and trends from research that could shape campaign strategy or reveal new market opportunities

What You'll Gain

·      Fast-track appraisal program held twice a year with clear career progression

·      A fun, collaborative, and high-energy work environment

·      Attractive cash incentives for hitting event targets

What We're Looking For

·       Detail-oriented and highly organised, with a strong eye for data accuracy

·       Comfortable navigating digital research tools, LinkedIn and CRM platforms

·       A natural researcher who takes initiative and goes beyond the obvious to surface the right prospects

·      A team player who communicates findings clearly and promptly

·      Demonstrates our core values:

• Teamwork
• Respect & Integrity
• Open Minded
• Performance Excellence
• Innovation
• Customer Commitment

# Convenient work location nearby MRT Station (North/Central)

# Salary up to $4500 + Great Benefits

# 5 days work week

A primary healthcare institution in Singapore is currently seeking candidates to join them as a Research Support Assistant.

Job Responsibilities:

• Support grant administration, including submissions, budget planning, utilisation tracking, and claims.
• Coordinate external research collaborations and review research agreements.
• Manage submissions for ethics approval and research funding.
• Monitor research activities, prepare reports, and support temporary research staff.
• Assist in budget tracking, research programme planning, policy implementation, and committee secretariat support.
• Collaborate with internal and external stakeholders to ensure smooth conduct of clinical research.
• Assist in the planning and development of research spaces within clinics and office environments.
• Oversee the maintenance and management of research data storage drives.
• Manage and update research-related content on the company website.

Job Requirements:

• Degree in Nursing, Health Science, Social Sciences or related
• 1-2 years of experience in research related duties
• Knowledge of Good Clinical Practice, medical and research terminology and ethics

Looking for a new job or career opportunity? Please email your detailed resume in MS Word Format to tammi.ng@celecti.com.sg

Tammi Ng Yi Ning (Ms.)

Talent Acquisition Consultant

CEI Registration No.: R24119611

Contact No.: + 65 9669 8981

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-%28LKYSPP%29-%2832429%29/32429-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are seeking a full-time Research Assistant (Quantitative Analysis) to work on empirical research in the area of population aging, mortality, and pensions, with an active focus on Singapore and Asia. The project is part of a larger interdisciplinary research program aimed at developing a better understanding of how aging beliefs and mortality expectations may influence financial decision-making among participants in a pension scheme. The Principal Investigator of this project is Associate Professor Joelle Fong. 

The LKY School of Public Policy is part of the National University of Singapore, which is Asia’s top university in the QS World University Rankings.

Candidates should have a background in Statistics, Economics, or Risk Management & Insurance.  Knowledge of mortality analysis and life table methods is required. Candidates with also some knowledge and experience in how pension systems function will be a good fit. The successful candidate must demonstrate good overall competence in quantitative research methods and be proficient with statistical software such as STATA or R.  Due to the nature of the role, excellent written and spoken English is essential. 

Other responsibilities include:

• Assist with drafting literature review and questionnaire design
• Assist with data analysis in R and STATA (data collection / cleaning)
• Research administration support 
• Other ad-hoc duties as assigned

The full-time position will have a 12-month term.

Qualifications

• Master’s degree or equivalent in Statistics, Economics, or Risk Management & Insurance, from a reputable university
• Familiar in working with large datasets for statistical analysis
• Demonstrate good organisational and analytical skills
• Responsible and detail oriented
• Must be able to self-motivated, able to work independently, as well as in a team

The candidate is expected to be physically present in office during the stipulated working hours, and able to commit to at least 1 year of service. 

Benefits:

• Internationally competitive salary, 1-year contract
• Salary and appointment will be commensurate with the candidate’s qualifications, track record, potential, experience
• Highly collegial working environment with an internationally diverse group of scholars
• Excellent research support provided by the School and NUS

Application Procedure:

Interested applicants are invited to send the following list of documents via the NUS Career Portal.

• Cover letter
• Curriculum vitae
• Three writing samples

Your cover letter should include details such as your highest qualifications, past research experience, last drawn salary (if applicable), expected salary, and country of citizenship. Please also state when you can begin work, if you are selected for the role.

Applications will be accepted until the position is filled. Should you be shortlisted, a faculty member or an administrator will contact you directly for an interview. 

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-%28LKYSPP%29-%2832426%29/32426-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are seeking a full-time Research Associate (Quantitative Analysis) to work on empirical research in the area of population aging, mortality, and pensions, with an active focus on Singapore and Asia. The project is part of a larger interdisciplinary research program aimed at developing a better understanding of how aging beliefs and mortality expectations may influence financial decision-making among participants in a pension scheme. The Principal Investigator of this project is Associate Professor Joelle Fong. 

The LKY School of Public Policy is part of the National University of Singapore, which is Asia’s top university in the QS World University Rankings.

Candidates should have a background in Statistics, Economics, or Risk Management & Insurance.  Knowledge of mortality analysis and life table methods is required. Candidates with also some knowledge and experience in how pension systems function will be a good fit. The successful candidate must demonstrate good overall competence in quantitative research methods and be proficient with statistical software such as STATA or R.  Due to the nature of the role, excellent written and spoken English is essential. 

Other responsibilities include:

• Assist with drafting literature review and questionnaire design
• Assist with data analysis in R and STATA (data collection / cleaning)
• Research administration support 
• Other ad-hoc duties as assigned

The full-time position will have a 12-month term.

Qualifications

• Master’s degree or equivalent in Statistics, Economics, or Risk Management & Insurance, from a reputable university
• Familiar in working with large datasets for statistical analysis
• Demonstrate good organisational and analytical skills
• Responsible and detail oriented
• Must be able to self-motivated, able to work independently, as well as in a team

The candidate is expected to be physically present in office during the stipulated working hours, and able to commit to at least 1 year of service. 

Benefits:

• Internationally competitive salary, 1-year contract
• Salary and appointment will be commensurate with the candidate’s qualifications, track record, potential, experience
• Highly collegial working environment with an internationally diverse group of scholars
• Excellent research support provided by the School and NUS

Application Procedure:

Interested applicants are invited to send the following list of documents via the NUS Career Portal.

• Cover letter
• Curriculum vitae
• Three writing samples

Your cover letter should include details such as your highest qualifications, past research experience, last drawn salary (if applicable), expected salary, and country of citizenship. Please also state when you can begin work, if you are selected for the role.

Applications will be accepted until the position is filled. Should you be shortlisted, a faculty member or an administrator will contact you directly for an interview. 

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

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Associate-in-cQED-devices/32435-en_GB/

We regret that only shortlisted candidates will be notified.

About the Centre for Quantum Technologies (CQT)

The Centre for Quantum Technologies (CQT) in Singapore brings together physicists, computer scientists and engineers to do basic research on quantum physics and to build devices based on quantum phenomena. Experts in this new discipline of quantum technologies are applying their discoveries in computing, communications, and sensing. 

CQT is hosted by the National University of Singapore. The Centre also has staff at the Agency for Science, Technology and Research, Nanyang Technological University, Singapore, and the Singapore University of Technology and Design. With some 200 staff and students, it offers a friendly and international work environment

Learn more about CQT at https://www.cqt.sg/

Job Description

Consolidate studies associated with using strong parametric drives to engineering coupling between two or three quantum harmonic oscillators, and training new members on how to fabricate superconducting cqed devices. 

Qualifications

• Comprehensive knowledge of the team’s infrastructure, tools, and standard workflow in the lab.
• In-depth experience on designing and testing cQED devices. 

The Signature Research Programme in Emerging Infectious Diseases (EID) aims to pioneer our understanding of emerging infections through world-class research that integrates immunology, infection biology, pathogen genomics, and computational approaches. This integration drives comprehensive studies of host–pathogen interactions across molecular, individual, and population scales to address emerging health challenges.
 
The laboratory of Professor Ooi Eng Eong in EID is looking for a Postdoctoral Research Fellow to study dengue pathogenesis and dengue virus-host interactions. The selected candidate will perform a variety of research activities which include planning, organising and conducting research studies within the overall scope of a research project under the supervision of the Principal Investigator or his/her designate, including but not limited to the following: -

• Independently conduct research on dengue virus-host interactions.
• Write and review research papers, present research outcomes, conceptualise new ideas and develop plans for independent research which could have a considerable influence and impact on the relevant field attracting research funding.
• Provide support for external grant/protocol development, study design and management of research activities.
• Contribute to occasional educational / instructional activities and project management.
• Provide guidance and mentorship to undergraduate / medical students and research assistants.
• Assist with general upkeep of laboratory needs, maintain safety protocols, provide technical support and establish work procedures to ongoing research projects.
• Perform other related duties incidental to the work described therein.

Job Requirements

• PhD in Virology or Immunology.
• Demonstrated knowledge, skills and technical expertise in virology and viral immunology.
• Have published peer-reviewed papers in virology or immunology (or related) journals.
• Prior experience in handling small animals is preferred. 
• Demonstrated capability of research independence.
• Experience in applying computational biology approaches in data analyses is preferred but not required.
• Possess interpersonal communications skills with excellent written, oral communication and computer skills.
• A strong team player who is open-minded, independent, highly motivated and can work collaboratively in an interdisciplinary team and diverse workforce.

We regret that only shortlisted candidates will be notified.

Position: Tuition Teacher (English Language, Math, Science)
Working Days: Wed to Sun, Mon & Tues off
Working Timing: 32 hours / Week
Working Location: Tampines Changkat Community Centre
Starting Salary: $2500 - $3500 (depends on experiences)

Responsibilities:

• Utilise provided Curriculum and Learning Methodology to help students succeed in school academics and ultimately in the PSLE.
• Assist in curriculum development during non teaching hours
• Administrative and operational work when required

Requirements:

• Degree holder 
• At least 1 year of teaching experience in P1 - P6 English curriculum
• Training provided for P1 to P6 Mathematics and Science teaching

If you are keen to apply, please send me your resume and job applied for on WhatsApp at 9789 3505 or email me at anabel.thesupreme@gmail.com (˶ᵔ ᵕ ᵔ˶)

❄️Anabel Boon Xue Qi | Recruitment Consultant (R25159272) |

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

• Core Development: Develop, iterate, and maintain frontend features for security products, ensuring high-quality delivery.
• Collaboration & Implementation: Work closely with UI designers to accurately translate mockups and prototypes into functional code. Participate in design reviews, providing technical feasibility feedback.
• Technical Contribution: Participate in frontend technical discussions and solution design. Help build and maintain a stable, scalable, and maintainable frontend architecture and write clear technical documentation.
• Performance & UX Optimization: Continuously optimize application performance, page load speed, and interaction fluidity to enhance the end-user experience.
• Quality Assurance: Write robust, maintainable code and unit tests. Collaborate with QA engineers to ensure the quality of frontend features.
• Other duties as assigned.

• Bachelor's degree or higher. 1+ years of frontend development experience, with at least 6 months of hands-on production experience using Vue 3 and the Composition API.
• Strong proficiency in HTML5, CSS3 (including Flexbox, Grid), and modern JavaScript (ES6+).
• Solid understanding of core Vue ecosystem tools such as Vue Router and Pinia (or Vuex).
• Familiarity with frontend build tools and development workflows (e.g., Vite, Webpack, npm/yarn/pnpm).
• Good coding standards and teamwork spirit. Experience with Git version control.

#LI-JN2

Job profile:

Research Assistant - HumanSciences Methodology for Agent-Based Modelling

DesCartes Programme WP1× WP6

Context

The DesCartes Programme, led by CNRS@CREATE in Singapore, brings together AI, engineering and human sciences to design trustworthy hybrid AI systems. In partnership with the National University Health System (NUHS), WP1 (Agent-Based Modelling) and WP6 (Ethics of Autonomy and Care in AI Decision-Making) are jointly developing an agent-based model (ABM) to support the redesign of selected NUH services. Grounding this model in empirically rich descriptions of care practices, patient trajectories and staff routines requires dedicated field-based human sciences work.

Mission

Working at the interface between WP1 and WP6, the Research Assistant will contribute to the design and implementation of human sciences methodology feeding into the ABM.Main tasks:

- Design and conduct field observations.

- Prepare and carry out semi-structured interviews with healthcare staff, patients and caregivers; transcribe and analyse the material (thematic/qualitative analysis).

- Translate qualitative findings into structured inputs for the ABM in close collaboration with the WP1 modelling team.

- Participate in joint WP1-WP6 meetings, internal reports, and co-author scientific outputs.

Profile

- Master's degree (or equivalent) in psychology, sociology, anthropology, public health, human factors, cognitive science or related field.

- Solid training in qualitative methods.

- Interest in interdisciplinary work with computer scientists/modellers; basic familiarity with ABM or simulation approaches is a strong asset.

- Experience in clinical / hospital environments is a plus.

- Excellent working English; additional languages spoken in Singapore (Mandarin, Malay, Tamil) are appreciated.

- Autonomy, rigour, strong interpersonal and writing skills.

Practical Information

- Location: Singapore, CREATE Tower,

- Contract type & duration: 6 months, possibility of extension

- Start date: mid-July

- Salary: range, SGD5,500 - SGD7,200

- Supervision: Prof. Bahia Guellai (WP6) and Blaise Genest (WP1)

Application

Please send a CV, a short cover letter and the contact details of two referees to bahia.guellai@cnrsatcreate.sg, with the subject line RA - WP1×WP6. Applications will be reviewed on a rolling basis until the job is filled.

The AI-Driven Energy Chemistry research group at the School of Chemistry, Chemical Engineering, and Biotechnology (CCEB), Nanyang Technological University (NTU), Singapore, is dedicated to fundamental research in the field of energy chemistry. The group aims to explore innovative applications of advanced AI models and technologies in this field. Research topics include catalyst design, multi-scale modelling, spectroscopic analysis, and more. The group has extensive research experience in theoretical calculations, energy science, and machine learning. The research emphasizes the integration of theory and experiments, focusing on the practical application of projects.

We are seeking a dynamic research fellow to drive cutting-edge innovation in AI-driven energy catalysis, contributing to NTU's mission of advancing important sectors of sustainable energy solutions and AI for science. This role is pivotal in bridging theoretical chemistry with AI technologies, enabling a deeper understanding in catalytic mechanism and enhanced applicability of catalyst design. By integrating machine learning with energy science, the fellow will play a key role in shaping the future of energy chemistry, furthering NTU’s leadership in scientific research and technological innovation.

Key Responsibilities: 

• Conduct research related to machine learning theoretical energy chemistry

• Implement new findings through computational simulations and collaborate with experimentalists

• Publish research papers in reputable journals and give talks on international conferences

• Project updates to principal investigator

• Assist in proposal preparation

Requirements:

• PhD degree in chemistry, physics, chemical engineering, computer science, or other related fields

• Research background in theoretical catalysis/materials science, AI/ML, computational modelling (DFT, MD, etc.)

• Good publication record

• Good written and spoken communication skills

• Programming skills

We seek a diverse and inclusive workforce and are committed to equality of opportunity. We welcome applications from all and recruit based on merit, regardless of age, race, gender, religion, marital status and family responsibilities, or disability.

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

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

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Associate-in-Asia-Research-Institute-%28Carbon-Governance-in-Southeast-Asia%2C-CGSEA%29/32428-en_GB/

We regret that only shortlisted candidates will be notified.

Asia Research Institute

The Asia Research Institute (ARI), National University of Singapore (NUS), invites applications for the full-time position of Research Associate to work on a major, five-year long research project, funded by the Social Sciences Research Council (SSRC) Singapore, under its Thematic Grant programme, entitled Climate Governance of Nature-based Carbon Sinks in Southeast Asia. The position is available on a full-time basis for one year in the first instance, with possibility for renewal up until the end of the project in September 2027.

Job Description

The successful candidate will possess relevant experience and interest in environment and development issues in Southeast Asia. The candidate will have expertise in Information Technology (IT) and website design, necessary for the operation and maintenance of our digital portal (Carbon Governance in Southeast Asia, CGSEA: https://cgsea.org/).

Candidate will be required to liaise with our research consortium members in maintaining our research networks and project updates on social media sites. The RA will also be responsible for administering all aspects of the project, from making travel and conference bookings to procurement and processing payments to compiling and collating data for annual reports and auditing, on a day-to-day basis. In addition, s/he will organise the logistical details of workshops and conferences and take minutes of meetings with stakeholders.

The RA will also take responsibility for liaising with Singapore-based community groups involved in the research.

Job Requirements

The successful candidate should have at least a Master’s degree in a relevant field (e.g., Geography, Environmental Studies or International Development).

Applicants will be evaluated based on the following criteria:

• Interest and experience in environmental governance processes in Asia.
• Excellent command of both spoken and written English.
• Experience in the dissemination of information through various media platforms.
• Website design and maintenance experience.
• Basic accounting / auditing skills.
• Organizational skills for administrative tasks.
• Report-writing skills.
• Inter-personal skills for liaising with industry partners and collaborators and organising events.
• Ability to work independently and innovatively.

Terms and Conditions

1. Contract commencing as soon as possible for an initial period of 12 months.
2. A competitive salary and excellent working environment.
3. All salary and benefits-in-kind are subject to taxation in accordance with Singaporean tax laws.
4. Other benefits that NUS provides and information about living and working in Singapore are available at http://www.nus.edu.sg/careers/potentialhires/index.html

*Terms and conditions, according to university guidelines, are subject to change without prior notice.

Application Process

To apply for this position, please combine the following documents in 1 PDF and attach it under the CV column when submitting your application to the NUS Career Portal:

• Full Curriculum vitae, including the names of two referees who would be prepared to provide confidential references.
• Letter of application not exceeding 500 words, describing the reasons for being interested in the position and relevant past experience. Applicants should also type the following in the subject line of their email: Climate Governance grant – Research Associate application
• Academic certificates and transcripts.

Interested candidates, please submit your application by 30 April 2026.  Evaluation of applications will commence immediately and will continue until a suitable candidate is found. Shortlisted candidates will be notified soon thereafter and interviewed in-person or online (via zoom), as appropriate.

Job Description

Airports are increasingly complex socio-technical systems in which efficient coordination of airside, landside, and even terminal operations is critical to maintaining safety, efficiency, and the passenger experience. As a major global aviation hub, Singapore must continuously enhance its airport management capabilities to support growing traffic demand, operational resilience, and sustainable airport operations. Achieving this requires advanced operational concepts, data-driven decision support, and integrated management of airport resources across stakeholders.

To strengthen national capabilities in airport systems research, we are advancing the TAM and CONOPS studies under collaborative initiatives with aviation stakeholders. These efforts aim to develop next-generation operational frameworks that integrate airport stakeholders, optimise resource allocation, and improve situational awareness and decision-making across the airport ecosystem.

We are seeking highly motivated Research Scientists to conduct cutting-edge research in airport operations, TAM, and CONOPS development. The role focuses on analysing complex airport operational processes, developing data-driven models, and designing future airport operational concepts to enhance efficiency, resilience, and collaboration among stakeholders, including air traffic management, airlines, ground handlers, and airport operators.

Successful candidates will work within a multidisciplinary team of researchers and engineers to develop advanced operational models, simulation tools, and optimisation frameworks that support airport-wide decision making. This includes studying airport operational workflows, identifying system bottlenecks, and designing integrated solutions for areas such as aircraft turnaround, ground movement, towing operations, gate and stand allocation, and disruption management.

Beyond research innovation, you will play a key role in translating research insights into operational decision-support tools and demonstrable prototypes, working closely with industry partners and operational stakeholders to ensure the relevance and deployability of developed solutions.

This work contributes directly to strengthening Singapore’s position as a future-ready global aviation hub, enabling more efficient, resilient, and intelligent airport operations through data-driven research and operational innovation.

Job Requirements

• PhD degree in Operations Research, Industrial Engineering, Systems Engineering, Computer Science, Computer Engineering, Data Science, Electrical Engineering, Mechanical Engineering, or a related discipline with rich AI experience.

• Strong programming and data analysis skills, preferably using C/C++, JAVA, or similar.
• Experience in data analysis, cleaning, and visualisation, particularly for real-world sensor data (e.g., surface radar, GPS, and weather data).
• Experience in simulation, optimisation, or decision-support systems applied to transportation or airport operations is highly desirable.
• Experience in process modelling, operational concept development, and workflow analysis for large-scale operational systems.
• Strong background in airport operations, air transport systems, or complex system modelling, with experience in operational analysis and systems-level thinking is a plus.
• Demonstrated ability to conduct independent, high-quality research and translate ideas into deployable prototypes.
• Strong communication and collaboration skills, with the ability to work effectively with domain experts and operational stakeholders.
• A strong sense of ownership, research integrity, and the ability to deliver high-quality work under tight timelines.
• A genuine passion for advancing AI technology and translating research outcomes into real-world operational impact.

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.

Job Description
Singapore’s convective weather is highly complex and rapidly evolving, creating significant uncertainty in forecasting its frequency, severity, and spatial distribution. As a future-ready connectivity hub, this directly affects the efficiency, reliability, and safety of our aviation and maritime operations, leading to disruptions, increased costs, and heightened safety risks from severe weather such as heavy precipitation and lightning. To strengthen national capabilities, we are advancing AI-enabled localized tropical weather prediction under projects secured through the Aviation Meteorological Programme (AMP) and Weather Science Research Programme (WSRP).

We are seeking highly motivated Research Scientists and Engineers to advance our AI-enabled weather intelligence research. The role focuses on conducting cutting-edge, data-driven research on tropical convective hazard prediction using multi-modal datasets from weather observation systems and Numerical Weather Prediction (NWP) models. Successful candidate will work with a team of data scientists and engineers to develop, implement, and evaluate advanced machine learning and deep learning models for multi-source, multi-scale weather forecasting, leveraging state-of-the-art AI techniques to improve the accuracy and spatio-temporal resolution of hazardous weather predictions such as heavy precipitation, strong winds, and lightning. Beyond methodological innovation, you will also play a key role in translating research breakthroughs into operationally deployable solutions, working in a multi-disciplinary team comprising atmospheric scientists and operational stakeholders.

This work directly contributes to delivering actionable hazard intelligence to support real-world applications, including safer and more efficient air and ground operations in tropical environments. You will join a high-impact team addressing key challenges at the intersection of AI and weather science.

Job Requirements

• Ph.D in Computer Science, Computer Engineering, Data Science, or a related discipline with rich AI experience

• Strong programming skills, with proficiency in Python and PyTorch, and experience in optimizing deep neural networks for large-scale, multi-GPU training.
• Experience in data analysis, cleaning, and visualization, particularly for real-world sensor data (e.g., radar, satellite, lightning, and weather station data).
• Expertise in deep learning, especially in spatio-temporal modelling, generative AI, physics-informed learning, and uncertainty modelling.
• Experience in dense video prediction tasks such as video prediction or precipitation nowcasting is highly desirable.
• Knowledge of tropical weather systems or atmospheric science is a plus.
• Demonstrated ability to conduct independent, high-quality research and translate ideas into deployable prototypes.
• Strong communication and collaboration skills, with the ability to work effectively with domain experts and operational stakeholders.
• A strong sense of ownership, research integrity, and the ability to deliver high-quality work under tight timelines.
• A genuine passion for advancing AI technology and translating research outcomes into real-world operational impact.

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.

Responsibilities

• Plan, prepare and carry out instructional activities that promote active learning experiences
• Establish and convey clear objectives for all learning activities
• Prepare classroom for class activities
• Prepare variety of learning materials for use in educational activities
• Identify and select a variety of instructional resources and methods to cater to students’ varying needs
• Use relevant technology to support instruction
• Observe and evaluate students’ performance and development
• Set different forms of assessments such as quizzes, tests and examinations
• Maintain accurate and comprehensive records of students’ progress and development
• Prepare reports on students and activities
• Manage student behavior in the classroom appropriately
• Maintain discipline in accordance with the disciplinary system of the school
• Apply appropriate disciplinary measures where necessary
• Perform certain pastoral duties such as student support and counseling
• Communicate necessary information frequently to students, colleagues and parents pertaining to student progress and student needs
• Keep updated with subject area, teaching resources and methodologies and make pertinent changes to instructional plans and activities
• Conduct remedial lessons to help underachievers reach expected competencies in core academic skills
• Work closely with form teacher to maintain discipline of subject class and to care for the well-being of students
• Any other duties as assigned by the Principal, Vice-Principal or Head of Department

Requirements

• Diploma holder or above with or without working experience
• Familiar with Singapore curriculum
• Passionate about teaching and are constantly able to see the best in a child
• Dynamic and energetic
• Mature and independent
• Conversant in a second language besides English
• Competent PC skills

Interested parties, please send your resume to hr@syas.edu.sg. Only shortlisted candidates will be contacted.

By submitting your resume, you agree and consent to your personal data being processed, collected, used, disclosed and/or retained for the purpose of assessing applicants for employment. Personal information of unsuccessful applicants will be retained for a period of one year only, after which it will be destroyed.

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

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

Key Responsibilities:

• Conduct research in the domain of real-time scheduling and resource allocation problems for machine learning pipelines deployed in safety-critical cyber-physical systems.

• Close collaboration with PhD students involved in the project.

• Participate in the process of writing and publishing research papers in top-tier conferences and journals.

• Support the research team in documentation and reporting activities for the grant agency.

Job Requirements:

• Preferably Bachelor’s degree in computer engineering, Computer Science, Electronics Engineering or equivalent.

• Background and familiarity with research in the domain of real-time scheduling in safety-critical cyber-physical systems.

• Highly Desirable: Research experience in resource allocation and scheduling problems for time- and safety-critical cyber-physical systems.

• Independent, highly analytical, proactive and a team player

• Excellent teamwork and verbal, written communication skills

• In-depth knowledge relevant to the project domain.

• Demonstrated capability to conduct innovative research.

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

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

• Ability to design and implement new experimental methods.

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

• Ability to initiate collaboration research in multidisciplinary team.

• Oversee and report project progress.

• Ability and willingness to work some flexible hours.

We regret that only shortlisted candidates will be notified.

Responsibilities

Audit, Compliance & Risk

• Support internal and external audit processes, ensuring timely delivery and effective closure of findings.
• Address compliance issues and respond to risk management findings, ensuring effective resolution and reinforcement of internal controls.
• Ensure strong governance, tracking and reporting of key initiatives.

Corporate Operations & Process Improvement

• Identify corporate operational and process issues, coordinating with various stakeholders to ensure timely resolution and strengthen controls.
• Partner with departments to maintain consistency, efficiency, and alignment across corporate initiatives.
• Support the development and execution of corporate strategy, including mid to long term planning initiatives.
• Review and enhance standard processes and internal controls to improve governance, transparency, and operational integrity.

Financial Planning & Management Accounting

• Support management accounting by coordinating branch budget planning, ensuring alignment with corporate financial objectives for bank-related service offerings.
• Monitor budget performance and analyse variances to detect and address potential financial risks or inefficiencies.
• Facilitate budget control processes, collaborating with internal stakeholders to enforce financial discipline and optimize resource allocation.

Head Office Coordination & Policy Alignment

• Coordinate with global offices to align business priorities and ensure consistent execution.
• Coordinate and support cross-border talent initiatives overseas talent exchange programs collaborating with internal teams and headquarters to ensure seamless execution.
• Review Japan-side corporate policies, ensuring alignment with Singapore Branch requirements and addressing branch-level policy queries.

Reporting & Decision Support

• Analyse organizational performance and propose data driven improvements.
• Support expansion initiatives, including outsourcing strategies and resource planning.
• Deliver accurate and insightful reports to support informed strategic decision-making and operational efficiency. 
• Perform any other adhoc duties as assigned.

Requirements

• Bachelor’s Degree
• Understanding of financial management, management accounting, and budgeting processes.
• Proficiency in Japanese is preferred as this role needs to prepare reports in Japanese for reporting to Head Office in Japan. 
• Minimum 7 years of relevant experience in corporate planning, governance, risk management, financial management, or internal audit.
• Good knowledge of system project management.
• Experience coordinating internal and external audits.
• Prior experience in banking or financial services is an advantage.
• Background in liaising with cross-border or cross-cultural teams.
• Possess knowledge of corporate functions.
• Proficiency in budget planning, financial analysis, and management reporting.
• Understanding of compliance, risk issue remediation, and internal control mechanisms.
• Proficiency in MS Office
• Strong analytical ability to interpret financial, operational, and risk-related data.
• Ability to develop documentation, governance reports, and audit-related materials.
• Effective communication with senior management and HQ counterparts.
• Capability to manage sensitive information and uphold organizational integrity.
• Project leadership experience, including planning, mobilizing, and delivering outcomes.
• Strong interpersonal communication and written skills
• Possess strong strategic, logical and analytical thinking skills
• Proactive, self driven, and able to work independently.
• Collaborative mindset with a service-oriented attitude.

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-Engineer-%28AI-Accelerator-and-Energy-Efficient-Computing%29/32425-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are seeking a highly motivated and skilled Research Engineer to join our team in developing next-generation energy-efficient AI hardware. The project aims to demonstrate an AI accelerator chiplet that integrates emerging non-volatile memory (RRAM or MRAM) with conventional I/O interfaces. This platform will showcase compute–memory co-design advantages, including enhanced data throughput, improved energy efficiency, and reduced data-movement overheads for large-scale AI workloads. 

Key Responsibilities:
•    Develop and implement fine-grained dynamic voltage and frequency scaling (DVFS) strategies tailored for GPU-based AI workloads, with control at the level of transformer blocks and attention layers.
•    Design and build a high-resolution (microsecond-scale) performance monitoring framework to capture workload intensity, memory access patterns, and GPU utilization for real-time optimization.
•    Develop and deploy machine learning models to predict optimal voltage–frequency operating points during LLM training and inference.
•    Integrate predictive control algorithms with hardware platforms to enable real-time, adaptive power management across heterogeneous compute and memory subsystems.
•    Collaborate on system-level hardware–software co-design to realize energy-efficient AI acceleration.
•    Contribute to prototype development, benchmarking, and evaluation of performance and energy efficiency.
•    Publish research findings in leading journals and present at international conferences.
•    Mentor undergraduate students and support team-based research activities.

Qualifications

•    Bachelor’s or Master’s degree in Computer Engineering, Computer Science, or a related field.
•    Strong programming skills in Python and C/C++, with experience in machine learning frameworks such as PyTorch or TensorFlow.
•    Familiarity with deep learning models—particularly transformer architectures and large language models (LLMs)—is advantageous.
•    Experience or interest in system-level optimization (e.g., DVFS, workload profiling, or power management) is a plus.
•    Strong analytical and problem-solving skills, with the ability to conduct independent research and contribute to technical publications.
•    Ability to work effectively in a multidisciplinary environment, with good communication skills, initiative, and adaptability.

IBM Institute for Business Value (IBV) Global Research Leaders work directly with senior IBM executives to define, develop, and deliver unique and actionable research-based business insights. IBV Global Research Leaders support IBM teams and their clients through presentations, resource sharing, and training on tools and datasets. These insights enhance IBM's eminence and differentiation in the market and drive business value for IBM and IBM's clients. Additionally, IBV Global Research Leaders directly and indirectly influence industry organizations, client executives, and IBM talent through their unique knowledge of research methodologies, consulting and sales experience, topical expertise, and insights into IBM's strategy. This role is for the Healthcare & Life Sciences (HCLS) Global Research Leader specifically. HCLS clients represent a significant share of revenue for IBM. Effective thought leadership requires credible industry expertise, and the industry will be without coverage upon the retirement of the current global research leader.

Your Role and Responsibilities
The IBM IBV Global Research Lead is a trusted business advisor offering strategic insight, direction, planning, analysis and advice to C-suite executives and leadership teams to grow revenues and profit. As members of IBM’s key business think tank, IBV Research Leads operate as trusted advisors to business leaders, envisioning and articulating the impact of technologies on business, setting direction and forecasting market outcomes. They measure and predict economic and financial performance, conduct sophisticated quantitative analysis, formulate business cases, and develop actionable recommendations and roadmaps that drive new business value.

Research Leads are responsible for leading international research teams and stakeholders both within and outside IBM in the development and execution of the IBM topical area team’s thought leadership agenda. They maintain a global perspective while helping shape local insights. They collaborate with fellow IBV Research Leaders to explore complex challenges and deliver cross-disciplinary insights. They are mandated to engage and continually grow their eminence and advance networks and relationships with leading global experts, continually expanding market impact and innovation. They support account teams and meet with client leaders on the ground internationally to deepen relationships, support bids and proposals, sales pitches, and deliverables. They present insights, implications and recommended strategies at major external events globally.

Required Professional and Technical Expertise

• Design and execute full life-cycle research projects including hypothesis generation, primary and secondary research, data analysis, best practice identification and recommendation formulation.
• Develop fact based and differentiated business insights based on analytics that can influence business decisions by identifying opportunities and recommending actions.
• Identify best practices and define insightful and actionable performance metrics based on research which can be integrated into business strategies.
• Produce papers and other research deliverables (e.g., presentations,
• infographics) that present high value, client ready, compelling insights from research.
• Deliver internal and external briefings on relevant research.
• Advise senior and C-level executives on world class performance based on research and advise on the development of various strategies and analyses (e.g., business value roadmaps, quantifying magnitude of productivity and efficiency improvement).
• Build IBM assets for business performance such as process frameworks for industries and functional areas, component business models, and accelerators for offerings.
• Stakeholder relationships:
• Work actively and openly with colleagues across the IBV (e.g., analytics, editorial, design, marketing, etc.) to design, develop, and deploy research
• Collaborate with senior executives and external thought leaders to define and prioritize the research agenda.
• Manage and nurture relationships with a global set of experts and senior IBM stakeholders to ensure sponsorship, adoption and advocacy throughout the research life cycle.
• Actively support top account leaders and clients in the development and deployment of content to ensure meaningful market relevance and impact.
• Collaborate with IBM Marketing, Communications, and other stakeholders to deploy IBV thought leadership internally and externally through events, press coverage, articles, podcasts, social media, etc. to drive demand for IBV’s research as well as raise self-eminence.
• Minimum 10 years of relevant experience in the defined areas of research
• Proven experience in designing and conducting primary research to interpret data and generate insights
• Excellent presentation skills including a strong presence in front of C-level executives
• Strong project management and relationship management skills
• Professional attitude and service orientation, with prior experience and proven ability to work in an international and diverse team environment
• Ability to work under pressure and experience with managing multiple simultaneous demanding deadlines
• Excellent written and verbal command of English
• Strong skills in Microsoft PowerPoint, Excel and Word
• Active development of professional networks and professional eminence, including social media channels such as LinkedIn.
• Ability to use AI-based tools to explore topics, define scope, and accelerate the development of assets.
• Willingness to work and travel globally as part of a global team. This includes calls and/or meetings with colleagues, stakeholders, and clients across time zones.

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-Engineer-%28High-Precision-3D-Printing%29%2C-Division-of-Industrial-Design/32422-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

NUS Centre for Additive Manufacturing (AM.NUS) is inviting applications for the position of research engineer for High Precision 3D Printing. 
●    Develop, operate, and maintain high-resolution 3D printing systems, including two-photon polymerization (2PP), extrusion-based printing, and digital light processing (DLP) platforms. 
●    Fabricate and characterize complex 3D structures and scaffolds, ensuring quality, precision, and reproducibility. 
●    Support internal capability development and execute collaborative projects with academic researchers and industry partners. 
●    Assist in preparing technical reports, documentation, and contribute to publications and grant proposals where applicable.
●    Ensure proper laboratory operations, including equipment maintenance, safety compliance, and procurement of materials and components.

The NUS Centre for Additive Manufacturing (AM.NUS) leverages the National University of Singapore world-class faculties, expertise and advanced capabilities in 3D printing technology, to bring innovative products to the field of healthcare that will improve patient outcomes and change lives for the better. AM.NUS explores a whole new dimension in medicine, applying ground-breaking 3D printing technology for personalised patient treatments.

AM.NUS is the only multi-disciplinary Additive Manufacturing (AM) centre in an Institute of Higher Learning in Singapore which comprises five Faculties (Medicine, Science, Engineering, Dentistry and Design & Environment). The Centre is supported both internally by NUS and externally by National Additive Manufacturing Cluster (NAMIC) and Singapore Economic Development Board.

Qualifications

●    Bachelor Degree in Mechanical Engineering/Materials Science/Biomedical Engineering or related field.
●    Expertise in 3D printing. 
●    Experience in 2PP is an advantage.
●    Familiarity with advanced imaging techniques and data analysis software is an advantage.
●    Proficiency in written and spoken English.