Total 1,350 job vacancies in Singapore

Primary Science Tutor 

Location: 1187 Upper Serangoon Rd, The Midtown, Singapore 533971

Working days & Time: 4 weekdays (Mon-Thu 12PM-9PM) + 1 weekend (Sun 9AM-6PM)
Salary: $3000 - $4500 (depends to experiences)

Key Responsibilities

• Teach small group classes (6–12 students) using our in-house curriculum
• Provide academic guidance and regular progress updates to parents
• Offer support to students who need additional help
• Collaborate on lesson content updates and curriculum improvements
• Participate in planning and delivering holiday programmes

Requirements: 

• Have past experience in teaching Science
• Understanding in MOE primary / secondary school syllabus for your Science.
• Degree Holder (Science Degree Chemistry/Life Science/ Engineering / Teaching)

Cheong Yeat Long | R25145358

The Supreme HR Advisory Pte Ltd | EA 14C7279

The School of Mechanical & Aerospace Engineering conducts research to enhance knowledge and drive innovation in urban mobility and to pave the way for Singapore's future land transport system. We are seeking to hire a Research Assistant / Associate to help in investigating the relationship between autonomous vehicles and path users on public paths. The role focuses on the design, development, and operation of experimental test rigs, including laboratory setups and field experiments.

Key Responsibilities:

• Experiment setup and testing

• Component assembly

• Sensors and hardware integration

• Data acquisition and analysis

Job Requirements:

• Education qualifications: B.Eng or M.Eng in Mechanical Engineering, Mechatronics, or related field.

• Good verbal and written communication skills, ability to work independently and in a team

• Proficient in mechanical experiment setup and testing, mechatronic systems integration involving sensors/actuators. Working knowledge of data acquisition and analysis, microcontrollers, and CAD tools is desirable.  

• Prior industrial or research experience in building experimental test rigs and mechatronics systems.

• Strong problem-solving ability, attention to details, and commitment to delivering high-quality research outputs.

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

 Primary Science Tutor 

Location: Upper Serangoon Rd

Working days & Time: 4 weekdays (Mon-Thu 12PM-9PM) + 1 weekend (Sun 9AM-6PM)
Salary: $3000 - $4500 (depends to experiences)

Key Responsibilities

• Teach small group classes (6–12 students) using our in-house curriculum
• Provide academic guidance and regular progress updates to parents
• Offer support to students who need additional help
• Collaborate on lesson content updates and curriculum improvements
• Participate in planning and delivering holiday programmes
  

Requirements: 

• Have past experience in teaching Science
• Understanding in MOE primary / secondary school syllabus for your Science.
• Degree Holder (Science Degree Chemistry/Life Science/ Engineering / Teaching)

Chin See Min Reg No. : R22107450

The Supreme HR Advisory Pte Ltd EA No. : 14C7279

 Primary Science Tutor 

Location: Upper Serangoon Rd

Working days & Time: 4 weekdays (Mon-Thu 12PM-9PM) + 1 weekend (Sun 9AM-6PM)
Salary: $3000 - $4500 (depends to experiences)

Key Responsibilities

• Teach small group classes (6–12 students) using our in-house curriculum
• Provide academic guidance and regular progress updates to parents
• Offer support to students who need additional help
• Collaborate on lesson content updates and curriculum improvements
• Participate in planning and delivering holiday programmes
  

Requirements: 

• Have past experience in teaching Science
• Understanding in MOE primary / secondary school syllabus for your Science.
• Degree Holder (Science Degree Chemistry/Life Science/ Engineering / Teaching)

Chin See Min Reg No. : R22107450

The Supreme HR Advisory Pte Ltd EA No. : 14C7279

Job Summary

The Institute of High Performance Computing (IHPC), A*STAR, was established in April 1998 to provide leadership in high performance computing as a strategic resource for scientific inquiry and industry development. Our mission is to advance science and technology, and develop leading-edge applications through high performance computing and computational science. We have long-term ties with industry partners, including multinational companies and local SMEs, which ensures that our R&D activities stay focused and relevant to real-world needs. We also have active cooperation with the world’s top academics and academic institutions.

We are looking for a motivated and versatile individual to join the Healthcare team. The role will support the development, adoption, and continuous improvement of reusable AI assets and platforms through ecosystem engagement, platform operations, product thinking and practical UI/UX capability.

Research Engineer (Reusable Healthcare AI Assets)

The successful candidate will work closely with researchers, engineers, product owners, healthcare and public-sector stakeholders, and industry partners to identify user needs, translate them into actionable platform requirements, and drive the adoption of reusable AI assets. The role is suitable for someone who can engage stakeholders effectively, structure feedback into product and operational priorities, and contribute to simple, intuitive user journeys, wireframes, prototypes, dashboards, and documentation for AI platforms.

Requirements

• Experience in at least one of the following areas: AI/ML platform delivery, product or platform operations, technical project management, ecosystem or stakeholder engagement, developer relations, digital transformation, UI/UX design, or technology adoption.
• Working understanding of AI/ML systems, data-driven applications, software platforms, APIs, cloud environments, MLOps, or reusable software/assets. Deep research specialisation is not required, but the candidate must be comfortable working with technical teams.
• Ability to translate between domain needs, user pain points, operational constraints, and technical implementation requirements.
• Practical exposure to user research, journey mapping, wireframing, prototyping, usability testing, information architecture, or interface review.
• Strong written and verbal communication skills, with the ability to explain technical capabilities and trade-offs to both technical and non-technical audiences.
• Good planning, coordination, and stakeholder management skills, with the ability to manage multiple workstreams independently in a fast-moving environment.

Preferred qualifications (one or more of the following)

• Experience in healthcare, biomedical, public-sector, or regulated digital systems.
• Hands-on experience with UI/UX or prototyping tools such as Figma, Miro, FigJam, Balsamiq, or equivalent.
• Ability to build lightweight prototypes, demos, or dashboards using tools such as React, JavaScript/TypeScript, HTML/CSS, Streamlit, Gradio, Dash, Tableau, Power BI, or similar.
• Experience managing reusable asset catalogues, platform onboarding journeys, technical documentation portals, design systems, knowledge bases, or developer-facing resources.
• Familiarity with agile delivery and collaboration tools such as Jira, Confluence, Git, GitHub/GitLab, or equivalent.
• Awareness of responsible AI, model evaluation, AI safety, data privacy, cybersecurity, and governance considerations for AI systems.

Interested applicants should submit their curriculum vitae, together with a short cover note describing relevant experience in ecosystem engagement, platform operations, AI/ML systems, and UI/UX or product-related work. The level of appointment will be commensurate with experience.

For applicants, please send your curriculum vitae to Dr Ricardo Shirota Filho (ricardo_shirota_filho@a-star.edu.sg)

The Centre for Research and Development in Learning at Nanyang Technological University, Singapore (CRADLE@NTU) seeks applicants with a Bachelors (Honours) degree in Psychology, Cognitive Neuroscience or related field from a university of good standing for a Research Assistant Position.

The successful candidate will contribute to the coordination, implementation, and administration of research projects, working closely with researchers, collaborators, schools, and other stakeholders. This role involves supporting research activities, participant recruitment, data collection, project administration, and maintaining accurate research records.

Key Responsibilities:

• Coordinate and support the day-to-day operations and administration of funded research projects to ensure timely delivery of project objectives and milestones.

• Liaise and collaborate with project collaborators, schools, external institutions, and other stakeholders to facilitate project implementation and research activities.

• Organize and coordinate meetings with project stakeholders, including preparation of meeting materials and documentation of key outcomes.

• Conduct literature reviews and support the preparation of research reports, project updates, presentations, and other project deliverables.

• Prepare, submit, and maintain research ethics applications, amendments, and related documentation in accordance with institutional requirements.

• Support participant recruitment, scheduling, and study administration activities.

• Collect research data using psychological, cognitive, and neuroimaging methodologies, including cognitive assessments, MRI, and functional Near-Infrared Spectroscopy (fNIRS).

• Maintain accurate and organized project records, research databases, and documentation in compliance with research governance and data management requirements.

• Support data management, storage, cybersecurity, and data security processes in accordance with institutional policies.

• Assist with the procurement and inventory management of research-related equipment, materials, and services.

• Monitor project timelines and coordinate research activities to support the achievement of project milestones and reporting requirements.

• Prepare and coordinate research progress reports and other project-related documentation for internal and external stakeholders.

• Provide day-to-day guidance and coordination for undergraduate student assistants involved in project activities, where applicable.

• Undertake other research, operational, and administrative duties as assigned by the Principal Investigator.

Requirements:

Required Qualifications and Skills

• Bachelor's Degree (Honours) in Psychology, Cognitive Neuroscience, Neuroscience, Education, or a related discipline.

• Strong written and verbal communication skills, including the ability to prepare reports and communicate effectively with internal and external stakeholders.

• Good organizational and project coordination skills, with strong attention to detail and accuracy.

• Ability to work independently and manage multiple tasks within established timelines.

• Experience with data management, record-keeping, and administrative processes.

• Demonstrated ability to learn new research methods, tools, and technologies as required.

Preferred Qualifications and Experience

• Experience conducting cognitive, psychological, or neuropsychological assessments.

• Experience working with children or in school-based research settings.

• Experience with neuroimaging techniques such as functional Magnetic Resonance Imaging (fMRI) and/or functional Near-Infrared Spectroscopy (fNIRS).

• Experience supporting research administration, ethics submissions, or project coordination.

Additional Information

• The role may require travel to schools, partner institutions, or research sites for data collection and project activities.

• Occasional work outside standard office hours, including weekends, may be required to support research activities. Time-off arrangements will be provided in accordance with university policies.

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

Kickstart your professional journey with an exciting opportunity to gain hands-on exposure in healthcare research, business development, and market analysis. This role offers valuable experience working on meaningful projects while developing analytical, communication, and presentation skills in a dynamic healthcare environment.

Key Responsibilities

• Support research and business development initiatives through data gathering, analysis, and reporting
• Conduct market research, literature reviews, and information sourcing to support ongoing projects
• Compile, organise, and present research findings in clear and structured formats
• Assist with data management, statistical compilation, and preparation of reports and presentations
• Analyse trends, insights, and relevant information to support decision-making processes
• Collaborate with team members on project assignments and contribute ideas for process improvements
• Utilise digital tools and software applications to manage data and enhance project outcomes

Requirements

• GCE 'A' Levels, Diploma, or higher qualification
• Strong interest in healthcare, life sciences, business development, or market research
• Proficient in Microsoft Office applications, including Excel, Word, and PowerPoint
• Analytical, detail-oriented, and eager to learn
• Strong communication and organisational skills
• Able to work independently and collaboratively in a fast-paced environment
• Comprehensive training and guidance will be provided

Interested applicants are invited to submit their updated resume to careerwithus@recruitexpress.com.sg with the subject header "Business Development & Healthcare Research Intern".

Leon Leong De Cong
R1551708
Recruit Express Pte Ltd
EA License No. 99C4599

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-%28SHINE-Industry-Projects-and-Programme-Support%29/33489-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

SHINE Industry Projects and Programme Support
•             Coordinate SHINE consortium activities and industry project administration.
•             Support coordination among researchers, industry partners, government agencies, and internal stakeholders to facilitate SHINE activities and industry collaborations.
•             Coordinate industry project activities, including tracking project progress, deliverables, milestones, and reporting requirements.
•             Maintain project documentation, records, and administrative materials to support project execution and compliance requirements.
•             Support technical workshops, industry engagements, consortium activities, and collaborative initiatives involving SHINE researchers and industry partners.
•             Organise workshops, seminars, technical talks, industry visits, and stakeholder engagement activities.
•             Support development of postgraduate programme operations and related programme initiatives.
•             Liaise with researchers, industry partners, government agencies, students, and internal stakeholders to support programme objectives.
•             Provide administrative and operational support for SHINE initiatives and other ad-hoc programme activities as assigned.

Qualifications

•            Possess a Bachelor's degree in a STEM discipline (Science, Technology, Engineering or Mathematics), preferably in Electrical Engineering, Computer Engineering, Materials Science, Physics, Mechanical Engineering, or a related field.
•             Relevant experience in project coordination, industry collaborations, stakeholder engagement, programme administration, research administration, or related functions would be advantageous.
•             Experience coordinating projects, workshops, industry engagements, postgraduate programmes, internships, or multi-stakeholder initiatives would be advantageous.
•             Ability to engage effectively with researchers, students, industry partners, government agencies, and other stakeholders.
•             Strong interpersonal, communication, stakeholder management, and organisational skills.
•             Ability to manage multiple priorities and work effectively in a dynamic environment.
•             Experience in a university, research institute, government agency, corporate laboratory, or technology-related environment would be advantageous.
•             Familiarity with semiconductor technologies, advanced packaging, microelectronics, photonics, or related technology domains would be advantageous.
•             Self-motivated, resourceful, and able to work independently as well as collaboratively within a team.
•             Open to appointment on a fixed-term contract.

Job Summary

Job Purpose

The Knowledge Engineer will be responsible for designing, constructing, and maintaining knowledge graphs derived from heterogeneous enterprise documents. The role involves leveraging Large Language Models (LLMs) for knowledge extraction, ontology-driven structuring, and question answering over knowledge graphs to support intelligent search, reasoning, and decision-making systems.

Key Responsibilities

• Leverage LLMs to extract structured knowledge (entities, relations, attributes) from unstructured and semi-structured documents such as:Maintenance manualsProduct design documentsTroubleshooting guidesLessons learned reports
• Process documents in multiple formats, including Word, PDF, PowerPoint, and Excel.
• Design, construct, and maintain knowledge graphs, including:Schema and ontology designEntity and relationship modellingData normalisation and validation
• Implement and manage knowledge graph storage using graph databases such as Neo4j and GraphDB.
• Develop LLM-powered question answering and interaction pipelines over knowledge graphs, enabling:Natural language queriesContext-aware and explainable responses grounded in structured knowledge
• Collaborate with domain experts and stakeholders to refine ontologies, extraction logic, and use cases.

Required Skills & Experience

• Strong understanding of ontology design, knowledge graph modeling, and semantic data representation.
• Proficiency in Python, with experience building data processing and NLP pipelines.
• Solid understanding of prompt engineering and LLM-based workflows.
• Hands-on experience working with LLMs, including both:Closed-source models (e.g., GPT-based APIs)Open-source models (e.g., LLaMA, Qwen, etc.)
• Experience with graph databases, particularly Neo4j and/or GraphDB.

Preferred / Advantageous Skills

• Experience in information extraction, document understanding, or NLP pipelines.
• Familiarity with RDF, OWL, SPARQL, or Cypher is a plus.
• Experience integrating LLMs with structured knowledge sources (e.g., KG-augmented QA, RAG with graphs).

Key Competencies & Attributes

• Strong analytical and problem-solving skills, with the ability to translate unstructured information into well-defined data models.
• Ability to work independently while collaborating effectively within a multidisciplinary team.
• Good communication skills to engage with technical and non-technical stakeholders.
• Demonstrated willingness to continuously learn and keep up with advances in LLMs, NLP, and knowledge engineering.

The Energy Research Institute @ NTU (ERI@N) conducts applied research in advanced energy systems and sustainable infrastructure. This position supports an ERI@N-led project on integrating non-conventional geothermal energy into data centre cooling in Singapore.

We are seeking a Research Fellow to lead the development of advanced modelling and design methodologies for integrated hydrogen-energy systems, with a focus on thermal integration of metal hydride storage systems.

The Research Fellow will develop CFD models, process simulations, and system-level integration strategies to enable efficient hydrogen desorption driven by waste heat. The role includes the design and optimisation of thermal management systems, supporting the development of scalable and deployable hydrogen solutions.

The research will directly contribute to the development of applied energy technologies with strong industrial relevance and near-term deployment potential.

Key Responsibilities

• Develop CFD models for thermal management and heat transfer within metal hydride storage systems, including internal heat exchanger design and thermal enhancement strategies.

• Design and optimise heat integration solutions for hydrogen desorption using waste heat from high-temperature systems.

• Develop process flow diagrams (PFDs) and system-level models for integrated hydrogen-energy systems.

• Perform multi-physics modelling (thermal, fluid, and mass transfer) of hydrogen storage and release processes.

• Support system architecture definition, thermal loop design, and control strategies for integrated systems.

• Conduct techno-economic and performance analysis of integrated hydrogen systems.

• Contribute to system integration, commissioning, and experimental validation activities.

• Collaborate with international industrial and academic partners in applied R&D projects.

• Prepare technical reports, scientific publications, and funding proposals.

• Support project management activities, including coordination, reporting, and stakeholder engagement.

• To develop and assess geothermal-driven cooling architectures through modelling, optimisation, and techno-economic analysis, supporting low-carbon cooling solutions for Singapore’s data centre sector.

Job Requirements

• PhD in Mechanical Engineering, Energy Engineering, Chemical Engineering, or related field.

• Strong expertise in CFD (ANSYS Fluent / OpenFOAM or equivalent) for heat transfer and fluid flow.

• Experience in thermal system design and heat integration, preferably involving high-temperature systems.

• Experience with hydrogen systems, metal hydrides, or gas-solid thermal processes is highly desirable.

• Experience in process modelling and simulation (e.g., Aspen, Modelica, MATLAB, Python).

• Strong understanding of heat exchangers, thermal loops, and multi-physics systems.

• Experience in techno-economic analysis and system optimisation.

• Familiarity with system integration and experimental validation is an advantage.

Additional Skills

• Ability to work in applied, industry-driven R&D environments.

• Experience in proposal writing and project management is highly desirable.

• Willingness to travel and work in international environments.

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

As a University of Applied Learning, SIT works closely with industry in our research pursuits. Our research staff will have the opportunity to be equipped with applied research skills that are relevant to industry demands while working on research projects in SIT. 

About the DIGNIFIED programme

The DIGNIFIED programme is dedicated to developing elderly-friendly, textured modified foods with desirable organoleptic and nutritional properties. Our mission is to enhance the quality of life for elderly individuals by creating innovative, nutritious, and visually appealing food products that cater to their specific dietary needs.

Job Description: 

We are seeking a highly motivated Research Fellow to join our team for a fixed-term project. The successful candidate will contribute to the development of food products within the International Dysphagia Diet Standardisation Initiative (IDDSI) framework, with a specific focus on Level 5 (Minced & Moist). This role will involve applying food structure understanding to formulate and optimise products with appropriate texture, appearance, and nutritional quality, while supporting laboratory trials, product evaluation, and data analysis to guide product refinement.

Key Responsibilities:

• Conduct literature reviews on food structure, texture-modified foods, ingredient functionality, and the IDDSI framework, with a focus on Level 5 (Minced & Moist) foods.
• Apply a strong understanding of food structure and structure–property relationships to design and develop elderly-friendly food products with appropriate texture, cohesiveness, moisture retention, appearance, and nutritional quality.
• Plan and conduct laboratory trials to evaluate product performance and support the translation of food structure knowledge into practical formulation strategies.
• Collect, analyse, and interpret experimental data to understand product behaviour and drive iterative product refinement.
• Document formulation rationale, experimental findings, and product development outcomes in technical reports, presentations, and research publications.
• Collaborate with a multidisciplinary team, including food scientists, clinicians, and engineers, to develop products that are scientifically grounded, practical, acceptable, and aligned with end-user needs.

Job Requirements:

• A Ph.D./Doctorate in Food Science, Food Engineering, Materials Science, or a related field with experience in food structure, food materials, texture-modified foods, or a related research area. Only candidates with Ph.D./Doctorate qualification will be considered and possibly shortlisted for an interview. 
• Strong understanding of food structure and structure–property relationships, and their application to food formulation and product development.
• Ability to evaluate how ingredient functionality, microstructure, and processing conditions influence product texture, stability, appearance, and eating quality.
• Strong analytical and problem-solving skills, with the ability to interpret experimental results and translate findings into practical product refinement strategies.
• Proficiency in data analysis software such as Microsoft Excel or other statistical tools.
• Excellent written and verbal communication skills.
• Ability to work independently and collaboratively in a multidisciplinary team.
• Demonstrated commitment to strong research ethics and data integrity

Join Our Team at the School of Biological Sciences, Nanyang Technological University, Singapore

The School of Biological Sciences (SBS), part of the College of Science at Nanyang Technological University, was established in 2002 with a mission to advance excellence in biological and biomedical sciences. Our research spans diverse and impactful areas including infectious diseases, immunology, neurodegenerative disorders, telomere biology, and genome function. SBS is home to a vibrant, international community of scientific leaders, researchers, and professionals dedicated to innovation, discovery, and education.

Join the laboratory of Liu Chuan Fa at the School of Biological Sciences. We are seeking a Research Fellow to contribute to a project focused on developing protein conjugates and cyclic peptides as therapeutic agents using bioconjugation and peptide chemistry techniques.

Key Responsibilities

• Develop peptide cyclization methods

• Develop bioconjugation techniques using plant-derived AEPs and other enzymes

• Evaluate pharmacological activity of cyclic peptides and bioconjugates

• Supervise attachment students (FYP, URECA and interns)

• Develop and use AI tools for drug discovery

• Write up, publish and present research results in peer-reviewed international journals and at scientific conferences.

Job Requirements

• A PhD degree in biological sciences or related areas, with prior training in medicinal chemistry, peptide and protein science

• Experience in small-molecule drug discovery, peptide synthesis, protein chemistry and bioconjugation research

• Experience in basic cell & molecular biology, analytical chemistry and biophysics techniques (bacterial and mammalian cell culture, PCR, RT-PCR and ELISA, NMR, Mass Spectrometry, microscopy and flow cytometry)

• Strong written and verbal communication skills in English - essential for data analysis and communication with stakeholders

• Strong publication record

• Entry level candidates are welcome to apply

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

We regret that only shortlisted candidates will be notified.

Job Purpose

The Research Fellow / Research Engineer (with focus on Data Analytics and Digital Dashboards) will support applied research and innovation in community and allied health by turning clinical, operational and service data into practical analytics outputs, digital dashboards, KPI trackers and evidence reports. The role focuses on hands-on data analytics, project coordination and implementation support for community care projects.

This role is focused on Data Analytics and Digital Dashboards. The candidate should have good project-management discipline and experience coordinating projects or workstreams with clear outcomes delivered. The Research Fellow / Research Engineer will support academic staff and project leads, and contribute his/her assigned share to team-level KPI targets through timely and usable analytics outputs.

Key Responsibilities

Applied Research & Development

• Perform clinical needs assessment and workflow analysis for organisational innovation transition, focusing on but not limited to the community and aged care sector, including nursing homes, hospitals, home-based care, and palliative care settings.
• Develop healthcare solutions and innovation roadmaps for organisational transition, focusing on but not limited to long-term bedridden patient care, caregiver workload reduction, and care automation.
• Develop and execute healthcare innovation projects by conducting experiments, data collection, and analysis for Proof of Concept (POC) and implementation for organisations in, but not limited to, the community care sector, and simulated environments within SIT and / or the Living Lab.

Industry Collaboration

• Support collaborations with industry partners to understand problem statements and contribute to solution development.
• Assist in project scoping by gathering technical inputs and identifying relevant capabilities within the ecosystem (IHLs, research centres, industry partners).
• Participate in industry meetings, discussions, and project engagements.

Project Execution & Support

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

Job Requirements

• Bachelor's degree with 5+ years experience OR Master's degree with 2+ years experience in Nursing, Health Sciences, Biomedical Engineering, Clinical Research, or a related field or related disciplines with relevant experience in research, engineering, product development, or healthcare innovation related work.
• Strong knowledge and experience in clinical workflows, particularly in hospitals, nursing homes, home-based care, palliative care settings and other community care settings.
• Hands-on experience in clinical validation studies, including patient needs assessment and usability testing, is highly advantageous.
• Possess understanding of healthcare innovation concepts (e.g., commercialisation, care automation, health economics).
• Strong analytical skills and attention to detail. Excellent written and verbal communication skills.
• Resourceful, meticulous and problem-solving attitude.
• Experience supporting or coordinating industry or applied research projects, preferably involving healthcare, community care, aged care, allied health, digital health, clinical workflow optimisation or healthcare innovation solutions.
• Ability to document project outputs, implementation progress, stakeholder benefits and other measurable outcomes for assigned work.
• Experience supporting project proposals, funded projects or partner engagements will be advantageous.
• For this Data Analytics and Digital Dashboards role, relevant experience in data analytics, dashboard development, business intelligence, data visualisation, health/service data management, KPI tracking, data cleaning, statistical or operational reporting, or equivalent analytics tools and methods is required.
• All Research Fellow / Research Engineer must possess project-management skills and experience managing or coordinating projects/workstreams with good outcomes delivered, including scope, timeline, stakeholder coordination, risk/issue tracking and documentation.

Key Competencies

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

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-%28AI-Law%2C-Sustainability-and-Public-International-Law%29/32994-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The Centre for International Law (CIL) was established in 2009 as a university-level research institute at National University of Singapore (NUS). CIL engages in both legal and multi-disciplinary research on a wide variety of international law issues. Its mission is to enable Singapore and the Asia-Pacific region to play a more significant role in the promotion and development of international law. CIL's vision is to become a regional intellectual hub and thought leader for research and teaching in international law. Further information about CIL is available at https://cil.nus.edu.sg/

CIL invites applications for a one-year Research Associate position. We seek an early career scholar specialising in public international law with a strong interest in the governance of artificial intelligence (AI) and sustainability to work as part of the AI and Technology Law programme led by Dr Jon Truby. This position is part of CIL's expanding research programme on AI law, climate and environmental sustainability, and digital governance within the international legal framework. The Research Associate will have the opportunity to advance their research profile in a dynamic and supportive environment at the intersection of AI, sustainability and public international law.

Responsibilities: 

• Conduct high-quality research on the nexus between AI and digital technologies, international law and sustainability.
• Prepare and publish at least one substantial piece of scholarly work suitable for submission to a reputable journal during the appointment.
• Contribute to the development and delivery of CIL’s research agenda on AI, technology and sustainability, including conceptualising new projects and outputs.
• Assist in the preparation of project proposals related to AI governance, climate and sustainability in international law.
• Support the planning, development and organisation of seminars, workshops and conferences, and present research at academic seminars and similar fora.
• Monitor and analyse developments in international law related to AI, emerging technologies and sustainable development, and prepare briefings and research materials for CIL’s programmes.
• Support and expand CIL’s role in regional and global forums addressing legal frameworks for AI, digital technologies and sustainability.
• Contribute, where appropriate, to CIL’s broader research projects, events and initiatives.
• Reside in Singapore throughout the term of appointment, in accordance with NUS policies on residence and leave.

CIL provides its research staff with extensive professional development opportunities through NUS events, seminars, and training programmes. Staff members also have opportunities to participate in regional and international academic engagements, including conferences, workshops, and symposiums.

Qualifications

• An LLM, JD degree or equivalent experience, preferably with a focus on AI and/or sustainability or climate and environmental governance;
• Demonstrated scholarly interest in AI and technology law, together with a clear interest in sustainability or climate and environmental governance in international law;
• Proven strong research and writing capabilities, evidenced by publications, working papers or a high-quality dissertation;
• Strong analytical skills to navigate the intersections of AI, sustainability and international law, and to conduct both independent and collaborative research;
• High level of self-motivation and organisational skills, including the ability to manage research tasks, coordinate activities and consistently meet deadlines;
• Ability to collaborate effectively within a team, with excellent oral and written communication skills, and proficiency in relevant IT tools that facilitate research and collaboration.

Application Procedures

Interested applicants are invited to submit their applications through the NUS Career Portal with the following supporting documents:

• A cover letter outlining relevant experience, motivation for joining CIL, and research interests;
• A detailed curriculum vitae (maximum three pages) setting out educational background and work history
• University transcripts
• One sample of written work
• Names and contact information of at least three (3) referees.

Please note only shortlisted candidates will be notified. For enquiries, please contact Ms Huong Tam at huong.tam@nus.edu.sg

Job Description

The Genome Institute of Singapore (GIS) is the national flagship for genomic sciences, driving cutting-edge research at the intersection of biology, engineering, and medicine. This position is offered in the Laboratory of AI in Genomics, led by Prof. Mile Šikić, which uses advanced bioinformatics and deep learning approaches to develop next-generation models for genomic data analysis. We are group a of computer scientist with a mission to improve healthcare using advance deep learning models. Located in the heart of Singapore’s thriving biomedical hub, GIS offers a dynamic and collaborative environment, with close ties to world-class universities (NUS and NTU), pharmaceutical companies, and biotech start-ups. Joining our team means working on transformative projects with real-world impact, while benefiting from Singapore’s vibrant research ecosystem and strong support for innovation.

Project background:

De novo genome assembly has been one of the most challenging problems in genomics. However, with development of new long read sequencing technologies, new assemblers and manually curated high quality benchmarks including CHM13, HG002 and I002C assembling most of human chromosomes T2T has become a routine task.

This project will focus on a more challenging task, assembling of human cancer genomes which are especially difficult due to cancer genome heterogeneity. Using the fact that we can reconstruct normal tissue genomes routinely we aim to reconstruct cancer genomes.

Job duties and responsibilities:

We invite brilliant minds in computer science to join us at the cutting-edge of cancer genomics research, harnessing the power of artificial intelligence or classical algorithms. Your job will involve either the development of new algorithms or deep learning models focusing on understanding cancer genomes. The focus will be on de novo genome assembly methods for reconstructing cancer genomes or developing new generative RNA/DNA/epigenome/epitranscriptome foundation models and agents aiming to speed up therapeutics development.

The duties include development of AI models or algorithms.

Job Requirements:

• Bachelor or Master in Computer Science, Mathematics or Physics
• Experienced in deep learning or classical algorithms
• Experienced in Pytorch for deep learning or C/C++ or Rust for classical algorithms
• Experienced with bioinformatics methods and tools for (a) variant calling, and/or (b) de novo assembly and/or (c) long read sequencing analysis;
• Proficiency in Python, and genomics and machine learning libraries therein.
• Keen interest in programming, algorithm development, mathematics, complexity, and puzzles.

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-Assistant-%28Spatial-Computing-Developer%29%2C-Division-of-Industrial-Design/33484-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The research assistant will design and develop software applications and content for the Apple Vision Pro in close collaboration with both the principal investigator along with clinical collaborators for deployment as real-world healthcare applications.

Qualifications

Master’s degree in Design or Computer Science

Key Responsibilities:

• Teach IB/A-level/IGCSE Mathematics or Science (AA and AI, SL and HL levels) to students in international schools
• Develop and update engaging lesson materials aligned with the respective syllabus
• Guide students in preparing for exams and completing IB Internal Assessments (IA)
• Participate in academic planning and teaching team discussions
• Assist in managing our social media presence, particularly the math content on Xiaohongshu (RedNote)
• Provide content input to math-related posts, study tips, or highlights of student achievements
• Attend teacher meetings and contribute to teaching quality improvement

Requirements:

• Bachelor’s degree or higher in Mathematics, Science, or a related field
• Strong command of English and Mandarin (spoken and written)
• Prior experience teaching international curriculum is preferred
• IB Diploma graduates with a strong background in IB Mathematics are highly encouraged to apply
• Responsible, patient, and able to communicate effectively with students
• Familiarity with Xiaohongshu (RedNote) or a strong interest in content creation is a plus
• Ability to work independently and collaboratively in a team environment

Preferred Skills:

• Familiarity with online teaching tools and platforms.
• Experience in preparing students for university admissions, personal statements, or scholarship applications.

Benefits:

• Competitive salary or internship stipend.
• Opportunity to work in a nurturing educational environment.
• Professional development and career growth opportunities.
• Flexible working hours.

Both full-time and part-time positions are available.

The National Institute of Education invites suitable applications for the position of Research Assistant on a 12-month contract at the Mathematics and Mathematics Education Department.

Project Title: Gen AI in teaching undergraduate mathematics: An exploratory study

Project Introduction: This project involves an exploration of Gen AI in teaching and learning of undergraduate mathematics, focusing on NIE students on the study of Calculus. Lessons will be designed with the infusion of Gen AI for both teaching and learning.

Requirements:

• Bachelor’s Degree in Science, Arts and Social Science, or a related field.

• Ability to work under the instruction of the Principal Investigator in the development of Gen AI related instructional material.

• Willingness to work with students in a learning and research environment.

• Ability to assist the Principal Investigator in collecting and analyzing data arising from this study.

Responsibilities:

• Conduct literature review on Gen AI for mathematics instruction.

• Design Gen AI-related instructional material for Calculus under the supervision of the Principal Investigator.

• Design research instrument under the supervision of the Principal Investigator.

• Collecting data and analysing data related to this project.

• Assist the Principal Investigator in drafting documents related to this project.

• Any other administrative duties as assigned by Principal Investigator.

Application

Applicants (external and internal) will apply via Workday. We regret that only shortlisted candidates will be notified.

Workday Job Requisition: R00024976

(https://ntu.wd3.myworkdayjobs.com/Careers/job/NTU-Main-Campus-Singapore/Research-Assistant--Mathematics-and-Mathematics-Education-Department---NIE-_R00024976)

Closing Date

Closing date for advertisements will be set to 14 calendar days from date of posting.

Ready to kickstart your professional journey while gaining real-world exposure in the healthcare industry? Join an internship experience where you will work on meaningful projects, sharpen your business insights, and develop valuable skills in research, analysis, and stakeholder engagement.

Your Role & Responsibilities

• Support business research initiatives by gathering, organizing, and analyzing market information
• Conduct industry research, competitor reviews, and data collection to uncover key insights
• Assist in preparing reports, presentations, and business materials for internal discussions
• Compile and interpret data from various sources into clear and structured formats
• Identify market trends and contribute ideas to support business strategies
• Support ongoing projects through coordination, documentation, and administrative assistance
• Utilize Microsoft Office tools to create professional reports, spreadsheets, and presentations
• Work closely with team members on assigned projects while gaining hands-on industry exposure

What We're Looking For

• GCE ‘A’ Levels, Diploma, or equivalent qualifications and above
• Genuine interest in healthcare, business strategy, research, or market analysis
• Strong attention to detail with good organizational and analytical abilities
• Comfortable working with Microsoft Office applications
• Positive learning attitude with the ability to adapt and take initiative
• Good communication skills and ability to collaborate effectively
• Training and guidance will be provided

Why This Opportunity?

• Gain practical exposure to healthcare business operations
• Develop research, analytical, and commercial skills
• Learn how business decisions are shaped through data and market insights
• Build a strong foundation for future career opportunities

Interested candidates are encouraged to send their updated resume to careerwithus@recruitexpress.com.sg with the subject Healthcare Business Explorer Intern.

Leon Leong De Cong
R1551708
Recruit Express Pte Ltd
EA License No. 99C4599

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:

• Assist in conducting research on cybercrime and AI-enabled threats using large language models (LLMs), artificial intelligence techniques, and empirical security analysis methods.

• Support the design and implementation of research prototypes and tools for AI-driven cyber threat analysis, malicious activity detection, and cybercrime measurement.

• Collaborate with academic and industry partners by assisting in project-related research tasks, experiments, documentation, and technical discussions in cybercrime and AI security research.

• Support the preparation of research outputs, including literature reviews, experiment summaries, technical reports, figures, tables, and manuscript drafts for academic publication.

• Assist in proposal preparation and grant-related documentation in areas such as cybercrime, AI-driven cybercrime measurement, and AI security.

• Assist in building and maintaining experimental platforms, benchmarks, and datasets for cybercrime measurement, threat analysis, and LLM security.

Job Requirements:

• A Bachelor degree in Computer Science, Cyber Security, or a related discipline.

• Research or applied experience in cybercrime measurement, AI-enabled cybercrime analysis, or LLM security through coursework, projects, internships, or research activities.

• Knowledge of cybercrime concepts and LLM prompt techniques.

• Proficiency in programming languages such as Python, C/C++, and Java.

• Familiarity with vulnerability analysis, network analysis, and cybercrime comprehension techniques through coursework, projects, or hands-on practice.

• Ability to support academic writing and research outputs, including literature reviews, technical reports, experiment summaries, and manuscript preparation for international conferences.

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-in-Institute-of-South-Asian-Studies-%28South-Asia%29/33467-en_GB/

We regret that only shortlisted candidates will be notified.

Research Associate (South Asia)

Established in 2004, the Institute of South Asian Studies (ISAS) is an autonomous research institute at the National University of Singapore. It is dedicated to research on contemporary South Asia. The Institute seeks to promote understanding of this vital region of the world, and to communicate knowledge and insights about it to policy makers, the business community, academia and civil society, in Singapore and beyond.

The Institute of South Asian Studies (ISAS) at the National University of Singapore is seeking to appoint a Research Associate to its research team.

Focus Areas

Candidates should have research interests in one or more of the following areas relating to South Asia:

• International Relations, Multipolarity and Multilateralism
• Politics, Society and Governance
• Trade and Economics
• Strategic Technologies
• Sustainability and the Environment

Requirements

• A Master’s degree in International Relations, South Asian Studies or a related discipline
• Strong theoretical and empirical grounding in South Asian politics, society, economics, development and/or international relations
• Demonstrated research and writing abilities, preferably with a focus on South Asia

Application

Interested candidates are invited to submit their cover letter, detailed curriculum vitae and a writing sample (an authored article related to South Asia) in PDF attachment. 

Remuneration will commensurate with qualifications and experience.

We regret that only shortlisted candidates will be notified.

PURPOSE OF THE ROLE

In this role, you will drive both business development and operationalexcellence for our Clinical Trial Projects. Your key responsibilities willinclude:

•        Managing Requests for Information (RFIs) andRequests for Proposals (RFPs)

•        Maintaining and refining costing models

•        Overseeing contracting activities

•        Supporting capacity and resource planning

•        Conducting data analysis to enhance projectperformance

REQUIREDQUALIFICATIONS AND EXPERIENCE

•        A diploma or degree in a science orhealth-related field

•        Prior experience in early-phase clinicalresearch is preferred

Interested candidates please send in your resume to:

nurse@recruitexpress.com.sg

Anthea Lim

Outsourcing Team

Company Reg. No. 199601303W

EA Licence No. 99C4599

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/Laboratory-Technologist-%28Research-Support%29/32771-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

To support laboratory operations by performing clinical chemistry analyses, biospecimen processing, and ensuring effective management of laboratory consumables, reagents, and equipment. The role maintains high standards of quality, safety, and compliance to support research activities.

Duties & Responsibilities
• Perform routine clinical chemistry analyses
• Perform blood and urine sample processing
• Ensure proper handling, labelling, storage, and traceability of samples
• Carry out routine equipment maintenance and basic troubleshooting for laboratory equipment
• Responsible for laboratory-base risk management, audits, and compliance documentation
• Maintain a safe, clean and hygienic laboratory working environment
• Perform other laboratory operational duties as required

Qualifications

• Diploma or bachelor’s degree in Biomedical science, Life Sciences, Chemistry, or a related discipline. Candidates without experience are welcome to apply
• Experience in clinical chemistry or biospecimen processing is an advantage
• Meticulous with strong attention to detail and good documentation practices
• Self-motivated, responsible, and willing to learn new techniques and systems
• Strong collaborative mindset with the ability to work effectively in a multidisciplinary team environment

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-%28Chemistry%29/33296-en_GB/?st=A995DE39F8DA5ECF6CD7640B102DE677C18D0B87

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Asst. Prof. Liviu Ungur on development of the sampling methodology of machine learning potentials under a project on "Achieving Transferability in MLFFs via Targeted Sub-Configuration Space Curation and Sampling".

The main responsibilities of the position include:
•    Generation of the training data for machine learning potentials
•    Study of the configuration space map, clustering of configurations
•    Contribution to the MLFF training software

Qualifications / Discipline:
•    BSc in Chemistry or Physics 

Skills:
•    Working skills with machine learning tools, such as TensorFlow, PyTorch, pyhton coding and bash scripting, etc.
•    Experience with solid-state softwares, such as VASP or Quantum Esspresso. 
•    Experience with molecular dynamics simulations with Lammps / Gromacs.

Experience:  
•    Working experience with high-performance computing clusters, such as NSCC or HPC @NUS.
•    Several years of research experience in the field of computational material science, computational chemistry, computational phy