Total 477 Science / R&D / Research job vacancies in PASIR GUDANG

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

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Associate-in-Sustainable-Finance-%28SGFIN%29/33177-en_GB/?st=9150308994CF31FCAACEE319707B32B09BE6EC1E

We regret that only shortlisted candidates will be notified.

The Role

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

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

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

Duties and Responsibilities

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

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

Qualifications

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

Core responsibilities include R&D project execution, experimentation and benchmarking, development of model training strategies, and drafting of technical documentation, proposals and project scoping materials. The position entails working in a highly interdisciplinary R&D team in close collaboration with experts in NLP, LLMs, clinicians, population health, and other health ecosystem stakeholders on AI systems that have the potential to transform patient care and deliver improved health outcomes

Appointments will be based in Singapore for 3 years duration.

Qualifications and Field of Study

Qualifications

• PhD in Computer Science, Machine Learning, NLP, Biomedical Informatics, or a related field
• Strong experience in LLM pre-training and fine-tuning (CPT, SFT, DPO, RLHF-style methods)
• Experience with large-scale training frameworks (PyTorch, DeepSpeed, FSDP, HuggingFace, etc.)
• Experience handling noisy real-world clinical or biomedical text data
• Strong experimental design and benchmarking skills
• Familiarity with cloud-based GPU training environments

Desirable:

• Experience with medical reasoning LLMs
• Background in medical NLP or healthcare AI
• Publications in ML/NLP/health AI journals/conferences

Experience

2-4 years post-PhD with track record in domain deployment oriented projects in applied health or other domains, and in publishing research in leading digital health venues. Experience in healthcare, corporate or application-oriented environments desirable.

Other Requirements (e.g. Skills, Competencies)

Competencies

• Keen experience and intuition for working with large, complex real-world health datasets
• Ability to innovate with advanced NLP and FM methodologies as well as to direct prototyping for demonstrating research ideas
• Exposure to varied digital health study designs, research methods, human computer interaction frameworks, and clinical evaluation approaches
• Cross-disciplinary experience spanning clinical needs definition, clinical workflow understanding, R&D problem formulation, health or medical technology evaluations, impact evaluation and/or real-world implementation.
• Ability to work independently as well as in multidisciplinary teams with strong interpersonal skills
• Good communication skills for publications, reports and proposals.
• Quick learner; able to acquire the necessary domain knowledge
• Agility in dynamic project environments with impact-oriented mindset

Drive to keep pace with AI/LLM R&D developments, work with full stack data engineering and deployment teams for real world projects, and with healthcare ecosystem partners on clinical translational studies highly desirable.

Skills

• Experience with LLM/FM frameworks as well as NLP/LLM toolkits
• Experience with ETL processes and dataset curation for FM training, especially for large or multimodal health datasets
• Strong programming abilities, particularly in Python and Bash for LLM pipelines, clinical data preprocessing, and ETL workflows. Experience with SQL/PostgreSQL and large-scale data processing (e.g., PySpark) is advantageous.
• Strong quantitative skills including statistics, probability, machine learning, and deep learning, with the ability to design rigorous evaluation frameworks for LLM reasoning quality, trustworthiness, and clinical safety.
• Comfort with biomedical knowledge representation and model evaluation
• Comfort within cloud-based data engineering and ML environments
• Exposure to FMOps/DevOps infrastructure and pipelines for deploying AI/LLM solutions for healthcare applications 

Motivated applicants with significant AI expertise and strong programming skills who are looking to switch into domain related roles and committed to building robust and scalable approaches for national scale healthcare impact will also be considered.

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

We regret that only shortlisted candidates will be notified.

Job Description

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

Purpose of the Post

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

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

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

Key Responsibilities and Roles

1. Research synthesis, analysis, and translation

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

1. Policy feedback and implementation learning

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

1. Knowledge and evidence dissemination

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

Qualifications

Essential

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

Highly desirable

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

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

Formal application: Please submit your application, indicating current/expected salary, supported by a detailed CV (including personal particulars, academic and employment history, complete list of publications/oral presentations (if any) and full contacts of three (3) referees to the NUS Career Portal. We regret that only shortlisted candidates will be notified.

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

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Associate-%28NUS-IHME%29/29977-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore (NUS) invites applications for the position of Research Associate as part of a collaborative partnership between the Institute for Health Metrics and Evaluation (IHME) at the University of Washington and the NUS Yong Loo Lin School of Medicine. The successful candidate will contribute to the Global Burden of Disease (GBD) Study, a landmark international research effort that produces robust, timely, and comparable estimates of health loss due to diseases, injuries, and risk factors worldwide. This role offers an opportunity to be part of a global network advancing data-driven health policy and research impact. More information about the study can be found at: https://www.healthdata.org/research-analysis/gbd.

Purpose of the Post

We seek a motivated and methodical researcher with a strong sense of analytical rigor, who is enthusiastic about applying data to real-world public health challenges and informing evidence-based policy. Appointments will be made on a 1-year or 2-year contract basis in the first instance, with the possibility of extension.

The Research Associate will report to and work closely with the Principal Investigator and study team members to support the successful implementation of ongoing research cycles under the GBD Study. The primary responsibilities will include conducting systematic reviews, performing data extraction and preparation, supporting quantitative data analysis, interpreting and critically appraising results, and contributing to the dissemination of findings to key stakeholders.

Main Duties and Responsibilities

The Research Associate will:

• Conduct systematic reviews and support data extraction, cleaning, and quality-checking in preparation for analysis.
• Support data analysis, including descriptive statistics, generation of graphs, tables, maps, and other innovative figures to visualise health data.
• Interpret and critically appraise analytical results, including cross-checking outputs against existing evidence, identifying implausible estimates, and investigating discrepancies before accepting findings.
• Plan and execute analyses in a structured and reproducible manner, maintaining clear documentation to support team-wide auditability and continuity.
• Contribute to key publications, including the development of manuscripts and associated publication materials.
• Assist in external engagement efforts, providing analytical and visualization support to local and regional partners, including the Ministries of Health and multilateral agencies across Asia.
• Assist with any other duties of a similar nature as delegated by the Principal Investigator.

Qualifications

The following qualifications and competencies are required or preferred:

Academic Background

• Master’s degree in epidemiology, public health, biostatistics, statistics, mathematics, social sciences, medicine, or other quantitative disciplines.
• Basic working knowledge of epidemiological measures (e.g. incidence, prevalence, mortality rates, age-standardized rates, disability-adjusted life years) is required.
• Prior research experience is an advantage but is not strictly required.

Analytical & Technical Skills

• Proficiency in R or Python for data wrangling, analysis, and visualization. Candidates should be able to demonstrate an understanding of the logic and validity of their analytical steps, not only the mechanics of running code.
• Familiarity with statistical concepts, including measures of central tendency, regression models, uncertainty estimation, and data quality assessment.
• Familiarity with systematic review methods and databases (e.g. PRISMA, PubMed, Embase) is an advantage; full training will be provided.

Analytical Thinking & Scientific Rigor

• Ability to break a research question into clearly sequenced analytical tasks, anticipate where errors are most likely to arise, and document processes for reproducibility.
• Willingness to interrogate results critically, rather than accepting outputs at face value, and to investigate further when findings are surprising or inconsistent with prior evidence.

Communication

• Strong written and verbal communication skills, including the ability to organize and structure scientific write-ups clearly.
• Detail-oriented, organized, and able to work both independently and collaboratively.

Professional Attributes

• Comfortable using AI-assisted tools (e.g. AI-assisted coding, literature screening) as productivity aids, with an understanding of their limitations and the continued need to verify outputs independently.
• Possesses a strong sense of responsibility, intellectual curiosity, and professionalism.
• Strong interest in global health and health policy.

Remuneration will be commensurate with the candidate’s qualifications and experience. Informal enquiries are welcome and should be directed to A/Prof Marie Ng at marieng@nus.edu.sg.

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

We regret that only shortlisted candidates will be notified.

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

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Assistant-%28Blue-Carbon%29/33174-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The Research Assistant will participate in a research project which examines key processes of carbon cycling in blue carbon ecosystems. Bulk of the research will focus on mesocosm experiments in ex situ aquaria.

The Research Assistant will lead and execute mesocosm experiments, laboratory analysis and data curation. Fieldwork in seagrass and mangrove habitats will be required. Specific tasks include:

• Planning and conducting experimental and laboratory work
• Collection and analysis of data
• Performing basic administrative duties
• Some outreach duties are expected

This position reports to the Principle Investigator at Tropical Marine Science Institute and is based at St John Island National Marine Laboratory on offshore St John Island, Singapore. This position is for 1 year; after first year, renewal is subjected to performance review. 

Job Requirements

• Bachelor’s Degree in Biological Science, Environmental Science, or related field
• Proficient with basic Microsoft Suite and basic statistical analyses
• Prior experience for seawater aquarium facilities, and marine and intertidal field work is highly preferred
• Must be willing to do intertidal field work, which entails working in muddy environment and working around low tide timings
• Self-motivated, driven, and a keen interest in research
• Effective oral and written communication skills in English

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-%28Urban-Analytics-&-Computational-Design%29-1/33178-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

•    Geospatial & Environmental Analytics: Assist in quantifying the built and natural environment using Geographic Information Systems (GIS) and spatial network analyses. Process complex datasets related to urban morphology, microclimate, and social infrastructure.
•    Fieldwork & Data Collection: Conduct on-site microclimate and visual environment audits using portable sensors across selected HDB precincts.
•    Data Processing & Modeling: Utilize scripting languages (Python, MATLAB, R) to analyze large-scale spatial data, integrating environmental metrics with developmental health outcomes
•    Research & Dissemination: Publish findings in high-impact peer-reviewed journals and present at international conferences.
•    Contribute to policy briefs, technical reports, and outreach materials for industry and government stakeholders.
•    Stakeholder Engagement & Coordination: Coordinate with project partners, government agencies, and industry stakeholders, including organising and participating in meetings, workshops, and knowledge-sharing sessions.

Qualifications

Essential:
•    Bachelor’s degree in Urban Science/Analytics, Computational Biology, Environmental Systems, Data Science, Digital Humanities, or a closely related field.
•    Proven proficiency in computational programming and data analysis (Python, MATLAB, R, C++).
•    Demonstrated experience with CAD or geospatial analysis software (e.g., QGIS, ENVI). Familiarity with 3D computational modeling tools (e.g., Rhino3D)  and the ability to adapt to parametric design software (e.g., Rhino/Grasshopper).
•    Strong portfolio or proven experience in data visualization, UI/UX design, and digital media utilizing the Adobe Creative Suite (Illustrator, Photoshop, After Effects).

What you'll be doing

• Accurately processing and recording supplier invoices in a timely manner

• Reconciliation against supplier’s statement of accounts

• Preparing and submitting payment runs to ensure suppliers are paid on time

• Maintaining detailed records and documentation for all financial transactions

• Responding to supplier inquiries and resolving any discrepancies or issues

• Prepare AP trade and non-trade payment listing

• Perform bank reconciliation

• Contract booking for Forex and submission of Trade Financing transactions

• Assisting with the preparation of financial reports and analysis as required

• Collaborating with the broader finance team to support the overall financial management of the business

What we're looking for

• Minimum 1 year of experience in an accounts payable or similar finance role

• Strong understanding of accounting principles and practices, particularly in the area of accounts payable

• Proficiency in using accounting software and spreadsheet applications (e.g. Excel)

• Excellent attention to detail and analytical skills to ensure accurate record-keeping

• Effective communication skills to liaise with suppliers and internal stakeholders

• Ability to work independently and as part of a team to meet deadlines

• A relevant tertiary qualification in accounting or finance would be an advantage

Job Description

We are seeking a talented and self-motivated Scientist, the successful candidate will join the Advanced Process Modules (APM) team at IME, develop specialty technologies for CMP process.

Key Roles and Responsibilities

1. Develop CMP process for silicon photonics, flat optics, advanced packaging, MEMS, and wide bandgap semiconductor applications to enable process and/or product realization.
2. Provide technical leadership in collaboration with process development, optimization, and troubleshooting for both industrial and grant-funded projects.
3. Own innovation strategy for CMP raw materials, slurry, methodologies, and approaches to enhance CMP uniformity, stability and defect performance.
4. Prepare and deliver technical reports and presentations for both internal stakeholders and external customers, effectively communicating project progress and technical insights.
5. File patents and know-hows for new development activities.
6. Publish research findings in leading journals and conferences

Job Requirements

1. Ph.D degree in Electronics, Microelectronics, Materials Engineering, Mechanical Engineering, Chemical Engineering, Materials Science, Chemistry, Physics, or equivalent.
2. Minimum 2 years of relevant working experiences in R&D and/or semiconductor industry, preferably in CMP technologies.
3. Hands-on experience with 200 mm or 300 mm CMP equipment platforms (e.g., AMAT or Ebara) is highly desirable.
4. Knowledge of silicon photonics, advanced packaging, MEMS, or wide bandgap semiconductor platforms is advantageous.
5. Hands-on experience with basic process characterization techniques such as SEM, Ellipsometry, and AFM is a plus.
6. Strong skills in experimental design (DOE), data analysis, and process optimization.
7. Good analytical and communication skills, with ability to deliver clear and concise messages to both internal and external stakeholders.
8. Self-motivated with a strong interest in advancing next-generation CMP applications and industry trends.

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/Deputy-Director%2C-Clinical-Imaging-Research-Centre/31069-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for Deputy Director in the Clinical Imaging Research Centre (CIRC), Yong Loo Lin School of Medicine. It is equipped with on-site capability for the preparation of PET radiopharmaceuticals in a state-of-the-art GMP-certified facility. CIRC is positioned to support both academic and industry led clinical research programs, with dedicated clinical imaging facilities area advanced modalities of PET-CT and PET-MRI. For more details on what we do, do visit https://medicine.nus.edu.sg/circ/. The mission of CIRC is to provide a shared state-of-the-art national resource for translational molecular imaging research, to foster collaborations between scientists and clinicians and to support the development of human capital. The applicant plays a key role in our pursuit to being a leading centre for advanced clinical imaging research and to drive the development and translation of imaging biomarkers to clinical practice. She/he serves to lead and manage the operational functions of the radiopharmaceutical research centre, ensuring efficient day-to-day activities, regulatory compliance, and resource optimization, while driving strategic projects and identifying revenue generating opportunities to support innovation, growth, and translational impact of the centre’s research outputs.

 
Appointments will be made on a two-years contract basis with the possibility of extension. 

Operational Excellence and GMP Facility Oversight

• Provide executive oversight of the GMP Cyclotron and radiopharmaceutical manufacturing operations, ensuring capacity planning, uptime, and product release reliability.
• Set and enforce standards for scheduling, preventive maintenance, deviation management, change control, and batch record integrity.
• Optimize end-to-end workflows spanning production, QC/QA, logistics/distribution, and clinical imaging utilisation to meet performance, quality, and financial targets.

Research Enablement and Scientific Coordination

• Partner with PIs and cross-departmental teams to identify and prioritise translational opportunities; ensure operational readiness for complex studies.
• Oversee scientific operations support: experimental planning, method transfer, process scaling, workflow optimisation, and technical troubleshooting.

External Partnerships, Business Development, and Translational Impact

• Build and manage strategic partnerships with industry, hospitals, and regulatory bodies to expand CIRC’s footprint and impact.
• Lead business development, service contracting, and pricing strategies for GMP products and imaging services; identify new revenue streams.
• Support grant development, IP strategy, and potential commercialization pathways for imaging biomarkers and radiopharmaceutical innovations.

Regulatory Compliance, Quality, and Audit Readiness

• Ensure full compliance with local and international standards and relevant ISO frameworks.
• Maintain a robust Quality Management System.
• Ensure perpetual audit readiness and strong regulatory relationship management.

Financial Stewardship and Resource Optimisation

• Own operational budgets, forecasting, and financial controls; ensure cost-effectiveness and return on investment for strategic initiatives.
• Optimise procurement, inventory, and vendor contracts; implement data-driven resource allocation and pricing to meet margin and mission goals.

People Leadership and Culture

• Lead, mentor, and grow a high-performing multidisciplinary operations team.
• Drive a safety-first, accountable, and collaborative culture

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

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Associate%2C-School-of-Computing/33148-en_GB/?st=4D32C2E2C9D9B1339FC58AD6E6838C4B0DAC85E1

We regret that only shortlisted candidates will be notified.

Job Description

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

The Research Assistant will be responsible for working closely with the Principal Investigator and lab members on one or more research projects. He/she should possess experience or interest in at least one of the following research areas:

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

Only shortlisted candidates will be notified. 

Job Requirements

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

Job Description

Key Responsibilities

• Ironing of retail items including household items
• Ironing of corporate uniforms
• Sorting of items for ironing
• Looking out of any abnormalities such as stains, damages, etc...

Good to have:

• Experience in working with industrial steam irons

Ideally:
Be able to commit for at least 3 years

Job Details:

• Location: West, Pandan Loop
• Hours: Flexible, Minimum 6 hours per day
• Days: Flexible, Minimum 4 Days per week (Able to work on Weekends & PH)

Job Description & Requirements

1. Purpose of Position

This role contributes to research-based activities in the field of Cybersecurity at Curtin Singapore.

2. Accountabilities and Responsibilities

Leadership & Service

• Contribute to the development of a collegial and supportive working environment.

• Foster and promote relationships with industry and affiliated associations, and the wider community.

Research

In conjunction with the Head of School of Science, Technology, and Engineering, agree on a program of research that may include but is not limited to:

• Undertaking high-quality research in cybersecurity.

• Work closely with industry partners on key projects as agreed with the Head of School of Science, Technology, and Engineering.

• Participating in applications for competitive funding as appropriate.

• Disseminating research findings through seminars, workshops, and conferences.

• Publishing in high-quality refereed journals in a manner consistent with disciplinary practice.

• Where appropriate, providing effective co-supervision of research students.

Other

• Engage in appropriate professional development and mentoring programs.

• Undertake administrative functions associated with research activities as required.

• Model a high standard of professional behaviour consistent with the University Code of Conduct and its Vision, Mission and Values.

• Undertake other activities as directed by the Head of School of Science, Technology, and Engineering and/or the PVC and President.

3. Selection Criteria

Applicants are not required to address each element of the selection criteria but should provide sufficient information in their application to enable the selection panel to make an informed assessment of their suitability for the role.

Selection Criteria for Curtin Singapore Research Fellow

Essential

1. A doctoral qualification in Cybersecurity.

2. Evidence of quality research outputs consistent with the discipline (relative to opportunity).

3. Demonstrated high-level communication and interpersonal skills with a commitment to the development of a collegial and supportive working environment and the ability to interact with students and staff with cross-cultural sensitivity.

Desirable

1. Demonstrated ability to supervise HDR students (relative to opportunity).

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-%28Multi-Agent-Strategy-Learning%29/33156-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

This position involves working on a project related to the coordination of large teams of autonomous robots (e.g., UAVs) in mixed cooperative-competitive environments. The Research Assistant will support the development, simulation, testing, and implementation of collaborative control algorithms for multi-agent robotic systems, under the guidance of the PI and senior researchers. The work will first focus on simulation studies and may later involve hardware experiments with project partners. The role provides an opportunity to work with the PI’s team at the National University of Singapore, as well as industrial, government, and overseas collaborators. The successful candidate is expected to be motivated, responsible, and willing to learn, with a Master’s-level background in robotics, control, computer science, electrical engineering, mechanical engineering, or related disciplines. Prior exposure to multi-agent systems, robotic control, reinforcement learning, or autonomous aerial vehicles would be an advantage.

The main research tasks for the project include, but are not limited to:

• Assisting in the development and evaluation of conventional and learning-based controllers for collaborative control of multi-agent robotic systems in mixed cooperative-competitive environments.
• Implementing and testing control algorithms in simulation environments, with possible support for hardware experiments on robotic or UAV platforms.

Qualifications

• Good programming skills in Python.
• Basic experience with PyTorch, deep learning, reinforcement learning, or related machine learning tools.
• Basic understanding of robotics, control systems, machine learning, or multi-agent systems.
• Experience with robotic simulation environments or aerial simulators would be an advantage.
• Prior exposure to UAVs, autonomous robots, or hardware experiments would be beneficial but is not required.• Ability to read research papers and summarize key technical ideas.
• Good written and spoken communication skills.
• Ability to work independently on assigned tasks while collaborating effectively within a research team.

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/Assistant-Manager%2C-Contracts-&-Admin-Management/33092-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The candidate will be responsible for developing printable inks based on natural material-derived precursors, such as natural materials-derived calcium phosphate, or related biomineral materials. The work will involve optimizing ink rheology, printability, shape fidelity, and structural stability for extrusion-based 3D printing. The candidate will also design and fabricate porous scaffold architectures with controlled pore size, porosity, and interconnectivity, while optimizing printing parameters such as nozzle size, extrusion pressure, printing speed, and layer height.

A key part of the project will involve post-processing and material conversion of the printed constructs. The candidate will develop and optimize sintering or thermal treatment protocols to convert printed structures into bone-relevant ceramic phases. Through this process, the candidate will help tune the phase composition and mechanical performance of the scaffolds, with the goal of producing reproducible and scalable bone implant prototypes.

Qualifications

•             Bachelor’s degree in mechanical engineering, materials science, or a related field

•             Demonstrated experience in material characterization

•             Team player, able to work collaboratively in a team environment

The NUS High School is a specialised school offering a seamless 6-year programme to students between the ages of 12+ and 18 years and who have an aptitude for Mathematics and Science. We invite suitable applicants for the following position.

Assistant Head in the following subject: Geography
We are looking for candidates who possess a relevant professional teaching qualification (or Post-Graduate Diploma Education equivalent) and

• have a passion in the relevant teaching subjects and inspire students to love the subjects via teaching and role modelling
• can participate and contribute to the planning, development and teaching of an integrated 6-year curriculum in the relevant teaching subjects
• are effective within and outside the classroom, adopt innovative pedagogies such as IT-enabled learning, differentiated learning, collaborative learning and learner-focused interaction
• can initiate and mentor research projects
• are able to provide for the learning needs and character development of high-ability learners ranging from 12+ to 18 years of age
• are able to contribute as an effective Co-curricular Activities (CCA) teacher and form-teacher

Requirement

• Competent in teaching Geography up to O-Level and/or A-Level H2 and/or H3 content.
• Experience in teaching Social Studies (Upper Secondary) is advantageous.
• Research work experience is desirable – able to offer and guide Humanities/interdisciplinary research projects for high school students.
• Driven and able to support Head of Department to lead the department in designing, implementing and evaluating an integrated 6-year curriculum

Employment Terms:
2-year contract, subject to renewal

Remuneration will be commensurate with qualifications and experience. Interested applicants, please email your detailed resume to hr@highsch.nus.edu.sg

Only shortlisted candidates will be notified.