Total 441 job vacancies in Singapore

We are looking for highly motivated and talented researchers to join our interdisciplinary team working on advanced modelling of complex large-scale urban systems, with a particular focus on land use, transport, and the built environment.

This role will involve developing, applying, and refining computational models to better understand urban dynamics, including how land use and transportation interact with the physical, social, and economic environment.

They will work with a collaborative and interdisciplinary team of scientists and engineers that have a passion in understanding the dynamics of large-scale socio-technical systems such as urban transportation (either land, air and/or sea) as well as the relationship between the built environment and social outcomes (such as health or behavioural outcomes across different population segments).

Shortlisted candidates would have the opportunity to work with various external collaborators, either from government and/or industry and work on high-impact real-world research problems, in which they will apply various computational tools such as modelling and simulation and AI to derive insights that can inform urban policy and planning.

Requirements

• Ph.D in Physics, Engineering, Data Science, Geography, or related fields

• Proficiency in Python or R with experience in geospatial and/or statistical packages

• Relevant research/project experience in either of these fields:

o Spatial analysis / Geospatial information system (GIS)

o Transportation and urban systems

o Agent-based modelling / network analysis

• Demonstrated experience in applying geospatial and/or statistical analysis or other relevant analytics tools on real urban problems would be highly desirable

• Experience working on large scale real-world datasets as well as knowledge of social dimension in urban planning would also be a plus

• Good written and verbal communication skills

• Ability to work effectively in an interdisciplinary research environment both individually as well as in a team, with a strong interest in collaborative research and policy impact

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

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28Statistics-and-Data-Science%29/33447-en_GB/?st=DDCF370D747A170FC6C5B7C7D0F8F5BB9E65FE37

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Assoc. Prof. Alexandre THIERY on representation learning and high-dimensional time series under a project on "Particle methods for data-assimilation".

The main responsibilities of the position include:
•    Methodology development
•    Implementation of the methods
•    Publication in journals and conferences
•    Presentation of work at conferences

Qualifications / Discipline:
•    PhD in Machine Learning, Statistics, Signal Processing, Applied Mathematics, or related fields

Skills:
•    Proficiency in deep learning frameworks (e.g., PyTorch, TensorFlow)
•    Strong background in statistical modeling and machine learning
•    Proven ability to develop and implement complex algorithms
•    Excellent written and verbal communication skills
•    Capable of conducting independent research and working collaboratively

Experience:
•    Published research in top-tier journals and conferences (e.g., NeurIPS, ICML, AISTATS)
•    Demonstrated experience in developing novel methodologies in representation learning
•    Strong record of presenting at international conferences and workshops

Asian Thoracic Oncology Research Group (ATORG) is the coordinating platform for translational research in Asia. Its mission is to advance medical knowledge of lung cancer and improve health outcomes of patients through clinical studies and scientific events. ATORG operates under National Cancer Centre Singapore.

We are looking for a Research Fellow who will provide critical support in the design, writing, and operational documentation of multi-country investigator-initiated trials (IITs) and translational oncology studies under the ATORG platform. This includes drafting study protocols, scientific reports, stakeholder materials, and contributing to consensus meetings and academic outputs.

This role is ideal for a motivated and detail-oriented individual with strong scientific writing skills and an interest in driving precision oncology research across Asia.

Main Responsibilities:

1. Study Design and Protocol Development (40%)

• Draft and refine clinical and translational protocols, including Synopsis, Study flow diagrams, Schedules of assessments (SoA), and biomarker sections
• Coordinate protocol input from PIs, Statisticians, Clinicians, and vendors
• Adapt study designs to site capabilities, operational constraints, and scientific objectives

2. Scientific & Grant Writing (30%)

• Develop Abstracts, poster presentations, and manuscripts for submission to Scientific conferences and journals
• Prepare Grant applications, Letters of Intent (LOIs), and scientific reports for academic and industry sponsors
• Draft meeting materials for advisory boards, working groups, and regulatory discussions

3. Stakeholder Engagement & Meeting Support (20%)

• Support scientific communications with local and regional collaborators, including meeting minutes, presentation decks, and briefing materials
• Liaise with site investigators, pharma sponsors, CROs, and academic partners to support scientific alignment across projects
• Contribute to preparation and documentation of region

4. Strategic Input & Innovation (10%)

• Provide input into vendor evaluations, consensus statement writing, and research planning documents
• Assist with the development of SOPs, training materials, and collaborative frameworks to improve ATORG’s scientific processes

Key Requirements:

• Master’s degree in biomedical sciences, cancer biology, molecular medicine, public health, or related field
• At least 2–3 years of relevant research or clinical trial experience, particularly in scientific documentation or study design
• PhD in a related field OR equivalent track record of scientific output (e.g., peer-reviewed publications, lead authorship on abstracts)
• Familiarity with clinical trial protocol writing, GCP principles, or ethics submissions
• Prior experience in oncology research, translational studies, or regional research collaborations

Advantageous Skills to Have:

• Scientific Writing & Communication: Excellent ability to translate complex scientific and clinical data into clear, accurate protocols, manuscripts, and presentations.
• Analytical & Problem-Solving: Strong capability to evaluate scientific feasibility, identify risks, and propose practical solutions.
• Stakeholder Engagement: Skilled in managing relationships with investigators, sponsors, vendors, and internal teams across different cultures and geographies.
• Organisational & Project Management: Ability to manage multiple projects concurrently, meet deadlines, and maintain attention to detail.
• Regulatory & Compliance Awareness: Competence in ensuring study design, documentation, and publications comply with international and local regulations, SOPs, and ethical standards.
• Technical proficiency with MS Office, reference management software, and clinical trial management systems (CTMS) is desirable.

Project Overview

The DiSTAP programme addresses deep problems in food production in Singapore and the world by developing a suite of impactful and novel analytical, genetic and biosynthetic technologies. DiSTAP is one of the five Interdisciplinary Research Groups (IRGs) of the Singapore-MIT Alliance for Research and Technology (SMART).  The research engineer will join an interdisciplinary team of chemists, engineers and plant biologists in the development, modification and characterization of functional conjugated polymers with unique optical properties that could potentially be used for cell imaging. These novel tools enables optimal crop production and rapid development of plants suitable for high-density farming and revolutionalizes urban farming strategies.

Responsibilities

• Support the DiSTAP nanosensor team in the development and validation of novel single-walled carbon nanotube (SWNT)-based sensors, with a primary focus on Covalent Organic Framework microneedles (COF-MNs) and nanosensors for nutrient sensing.
• Participate in translational research projects alongside external collaborators and open-field commercial plantation partners to drive the commercialization of DiSTAP technologies.
• Work across interdisciplinary team on in-planta studies using nanosensors for the real-time monitoring of plant nutrients, metabolites, and stress responses.
• Play a crucial role in enhancing the throughput of sensor data evaluation by developing, optimizing, and maintaining automated data processing and analysis pipelines.

Requirements

• BSc in Chemistry, Materials Science, Engineering, or a closely related field.
• Hands-on experience working with nanosensors, nanoparticle synthesis, and materials characterization, particularly regarding their applications in plant biology.
• Strong hands-on laboratory skills and technical proficiency.
• Excellent teamwork and collaboration skills, with the ability to mentor visiting students and interns.
• Ability to effectively communicate research progress through technical reports and poster presentations.
• Excellent written and verbal communication skills in English.

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

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

The Perse School (Singapore) is seeking a dynamic and adaptable Teacher of Computer Science to join our expanding Senior School. The successful candidate will play a key role in establishing the Computer Science Department, initially delivering engaging lessons to Years 6 to 10, growing through to Year 11 and A Level.

Ideally, applicants will have the ability to teach a second STEM subject up to Key Stage 3 or beyond.

As the school grows, this role may include leadership responsibilities within the Science Faculty, providing an exciting opportunity to shape the development of computing education within the Senior School. The post-holder will contribute to the delivery of the Cambridge International Computer Science Curriculum, ensuring students are well-prepared for IGCSE Computer Science and related examinations.

In addition to teaching responsibilities, the successful candidate will serve as a Form Tutor, providing pastoral care and fostering students' personal growth. They will also contribute to the school’s extracurricular programme, engaging students in coding clubs, robotics teams, and computing competitions.

Key Responsibilities:

• Develop and deliver a rigorous and engaging Computer Science curriculum, in line with the Cambridge International Curriculum and The Perse School ethos.
• Teach Computer Science across age ranges from Year 6 through to IGCSE, and A Level, inspiring students to develop computational thinking and problem-solving skills.
• Support students in preparing for IGCSE Computer Science, delivering a well-structured and challenging course.
• Collaborate with Junior School teachers to ensure curriculum continuity and smooth progression from the Coding and Robotics course taught from Year 3.
• Teach a second subject (e.g., Mathematics, Physics, or another STEM subject) up to Key Stage 3 or 4, where applicable.
• Provide guidance and support as a Form Tutor, promoting students' personal and social development.
• Establish positive relationships with parents, keeping them informed of their child’s progress and addressing any concerns.
• Incorporate innovative teaching strategies and educational technology to enhance learning in Computer Science.
• Create an inclusive and stimulating classroom environment, catering to diverse learning needs, including EAL learners.
• Contribute to the extracurricular programme by leading coding clubs, robotics teams, hackathons, or cybersecurity competitions.
• Engage in professional development and mentor colleagues to promote best practices in computing education.

Person Specification:

Essential Skills and Attributes:

• Strong subject knowledge in Computer Science and effective teaching strategies to support diverse learners.
• Experience teaching Computer Science to students aged 11–16, with familiarity in preparing students for IGCSE or equivalent examinations.
• Excellent interpersonal and communication skills, fostering strong relationships with students, parents, and colleagues.
• Cultural sensitivity and awareness, with the ability to thrive in an international school setting.
• Strong organisational skills and the ability to manage responsibilities effectively in a dynamic environment.
• Proficiency in using technology, coding languages (Python, Java, etc.), and multimedia tools to enhance Computer Science education.
• Demonstrated ability to inspire and motivate students to achieve their full potential in computing.

Desirable Skills and Experience:

• Ability to teach a second STEM subject (Mathematics, Physics, or another relevant discipline) up to Key Stage 3 or 4.
• Experience in developing curriculum frameworks or leading a team within a Technology or Computing Department.
• Experience working with EAL learners, incorporating strategies to support language acquisition in technical subjects.
• Familiarity with concept-based, project-based, or inquiry-based learning approaches.
• Experience teaching in an international school context.
• Passion for integrating Computer Science into cross-curricular initiatives, including STEM projects, AI, and cybersecurity awareness.

Essential Qualifications & Experience:

• Minimum four (4) years of teaching experience within an international school environment.
• A Bachelor’s or Master’s degree in Education, together with a recognised professional teaching qualification (e.g., PGDE, PGCE, PGCEi, NIE Diploma) or a valid Teacher Licence / QTS.
• Strong knowledge and experience in delivering the Computer Science curriculum.
• Proven capability in curriculum development, including experience in developing curriculum frameworks and/or leading a team.

Safeguarding:

The Perse School (Singapore) is committed to safeguarding and promoting the welfare of children and young people and expects all staff and volunteers to share this commitment. All candidates will be subject to rigorous safeguarding checks, including reference checks, an enhanced DBS (Disclosure and Barring Service) check, and verification of qualifications and employment history.

As part of our commitment to safeguarding, all staff are required to uphold the school’s safeguarding policies, attend regular training, and promote a safe and inclusive environment for all students. Any gaps in employment must be explained, and candidates should be prepared to discuss their approach to safeguarding in education as part of the recruitment process.

Disclaimer

The statements above outline the general nature and scope of work for individuals in this classification. They are not intended to be a comprehensive list of all responsibilities, duties, and skills required. Personnel may be asked to perform tasks beyond their usual responsibilities as needed.

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

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Assistant%2C-AIDF/33495-en_GB/?st=4993B7046BEEBA984DA71E08B1EF737E0DBC9DA2

We regret that only shortlisted candidates will be notified.

Role Overview

We are looking for a motivated Research Assistant to support AIDF’s digital marketing, and programme outreach activities.

Key Responsibilities

Digital Marketing and Campaign Support

• Support the planning and execution of digital marketing campaigns across multiple platforms, including social media, email, website, and digital advertising channels.
• Assist in creating, scheduling, and publishing content for LinkedIn, website updates, newsletters, and other digital channels.
• Support campaign tracking, performance reporting, and basic analytics to evaluate campaign effectiveness.
• Coordinate with internal teams, faculty, partners, vendors, and designers to prepare marketing materials and campaign assets.
• Help maintain a consistent brand voice and professional image across AIDF’s digital channels.

Social Media and Content Support

• Manage day-to-day social media content posting and engagement, particularly on LinkedIn and other relevant platforms.
• Draft and refine social media posts, event highlights, programme announcements, and partner engagement content.
• Support content collection from events, programmes, faculty, students, alumni, and industry partners.
• Assist in developing simple visual assets, captions, short write-ups, and promotional materials.
• Support regular website updates, including programme information, event pages, news articles, faculty profiles, partner updates, and other content.
• Ensure website content is accurate, current, and aligned with AIDF’s branding and communication standards.

Academic and Programme Operations Support

• Provide administrative and operational support for academic programmes, workshops, seminars, and events when required.
• Assist with programme marketing, participant communications, registration tracking, logistics coordination, and post-event follow-up.
• Support the preparation of programme materials, reports, attendance records, feedback forms, and certificates where applicable.

Qualifications

• Degree in Marketing, Communications, Business, Media, or a related discipline.
• 1 to 2 years of relevant experience in digital marketing, social media marketing, content coordination, or communications.
• Good writing skills and the ability to draft clear, professional, and engaging content.
• Familiarity with social media platforms, especially LinkedIn.
• Basic experience with website content management systems would be an advantage.
• Basic understanding of email marketing, digital campaigns, or campaign analytics would be useful.
• Comfortable handling multiple tasks across marketing, communications, and programme support.
• Detail-oriented, organized, and able to follow through on operational tasks.
• Good interpersonal skills and the ability to work with faculty, colleagues, students, vendors, and external partners.
• Interest in fintech, AI, digital finance, or higher education would be an advantage.

Preferred Skills

Experience using tools such as Canva, LinkedIn, Mailchimp, WordPress, Google Analytics, or similar platforms.

Ability to support simple design work, content formatting, and digital asset preparation.

Prior experience in an education, research, technology, fintech, or professional services environment would be helpful.

Comfortable supporting events, workshops, and academic programme logistics.

The Research and Development (R&D) Chef creates new recipes to improve food product from the organisation. Ready to designs new recipes in consideration of ideas and market demand for new products. Ready to improves recipes and preparation methods to meet mass production and regulatory needs. Ready to helps to design marketing strategies based on candidate approach and ideas in creating new products.

Candidate should skilled in culinary arts and is experienced in the Food and Beverage (F&B) sector. Candidate works in a kitchen or laboratory. Candidate has good knowledge on food science and is familiar with nutrition and mass production needs. Candidate has sound understanding of cultural and culinary trends. Candidate is very creative in developing and presenting products.

Duties and Responsibilities

• Assist in data gathering for new product specifications.

• Confirm product formulations and other information for constructing product profiles.

• Create new recipes and refine taste profiles through experimentation.

• Develop ideas from food preparation processes for marketing purposes.

• Develop product improvements based on sensory testing and consumer data.

• Establish product specifications and documentations.

• Make recommendations in the design of new manufacturing processes or to change current equipment or processes.

• Modify new product recipes and ingredient selection while taking note of nutrition, shelf life and regulations.

• Plan, manage and run panel sessions and sensory tests on food products.

• Refine recipe formulation for mass production purposes.

• Review ingredients to meet customer needs and requirements.

• Review methods to improve quality of new food products and compliance with food regulations during mass production.

• Suggest alternative ingredients and food preparation processes to meet mass production and compliance needs.

• Suggest changes to new food production processes.

• Support sales team by preparing samples for local and overseas customers.

• Troubleshoot production processes to resolve production, quality and regulatory compliance issues.

Requirements and Qualifications

• Strong knowledge of food science and nutrition.

• Excellent culinary skills and creativity.

• Ability to work well under pressure.

• Strong communication and presentation skills.

• Detail-oriented with strong organizational skills.

• Ability to conduct thorough research.

• Proficiency in using kitchen equipment and tools.

• Knowledge of food safety regulations.

• Ability to work independently and as part of a team.

• Strong problem-solving skills.

• Willingness to stay updated on industry trends.

• Experience in training and mentoring staff.

• Ability to source and evaluate new ingredients.

• Degree or Diploma or minimum three years relevant work experience

• Able to work early mornings, nights, and weekends

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-%28Membranes%29%2C-ChBE/33499-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

•    Design and synthesize chiral covalent organic frameworks (COFs);
•    Fabricate chiral COF membranes;
•    Evaluate membranes for chiral separations.

Job Requirements

•    Experience in organic synthesis, especially chiral synthesis;
•    Experience in porous materials and polymers;
•    Experience in membrane science and engineering.

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

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28Chemistry%29/33482-en_GB/?st=8D2D9F15DFBC531D87718EC2F97CDAB3AA51C90A

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Prof CHEN Wei on  Interface Engineering for low-dimensional materials based device applications under a project on NRF Investigatorship project:  Interface Engineered Ferroelectric 2D Materials for Artificial Synapses and Neuromorphic Computing”.

The main responsibilities of the position include One postdoc position is available at the Surface and Interface Lab (Prof. CHEN WEI’s group), National University of Singapore. The project focuses on the interface engineering for 2D materials based device and related electrical and optoelectrical characterization for memory and neuromorphic computing application.

The selected candidate will work together with a team comprising experts in MBE growth and STM characterization, device fabrication and related electrical and optoelectrical characterization, and surface reaction mechanism study using home-made interface characterization tools. 

Qualifications

Qualifications / Discipline: PhD in Physics/ Chemistry/ Materials in a research intensive and renowned University or Research Institute. 

Skills: Excellent English writing and communication skill, team management skill, expert in surface and interface science, surface science techniques of low-temperature scanning tunnelling microscopy, q-plus AFM, MBE growth of 2D materials, 2D materials interface engineering, and multi-physics understanding at the integrated device level.

Experience: Extensive research experience and publish at least 3 - 5 first-authored papers on Tier I journals and excellent lab safety management skills and experience.

The NCCS Division of Medical Oncology is looking for 4 Research Coordinators to join the BREXINT study team: Breast Cancer Exercise Intervention, a nationwide randomized study examining the effect of prescribed exercise (versus control) on cancer recurrence and survival in early breast cancer patients, as well as the behavioural tools that help make exercise a habit.

The Research Coordinator facilitates patient recruitment onto the study from all participating public hospitals in Singapore (each Research Coordinator is assigned 1-2 hospitals to cover), manages the patients’ appointment schedules, conducts questionnaires, inputs data onto spreadsheets, presents updates at regular meetings, liaises with other study team members, namely: doctors, nurses, clinic operations, physiotherapists, exercise trainers, exercise physiologists, academic psychologists, health economists, digital app collaborators.

Key Responsibilities

1.Patient Recruitment

Work closely with doctors and nurses from DMO and Breast Surgery to recruit eligible patients for BREXINT

• Identify and recruit patients who are eligible for BREXINT
• Explain BREXINT: objectives, study procedures, visit schedule, use of the digital app and wearable

2.Arrange appointments for patients

• Work closely with Clinic Operations to book appointments
• Convey this information to patients via the digital app or text messaging, phone calls, email
• Assist with patient queries/requests

3.Conduct questionnaires

• For patients who cannot do the questionnaires on the digital app

4.Clinical data management

• Extract and collate patients’ clinical data

5.Administrative and operational work

• Present updates at regular Study Team meetings
• Liaise with digital app collaborator re: data collection, data verification, troubleshooting issues with app functionality, wearables

Main Requirements:

• Degree in Life Sciences or a related health‑science field (or equivalent).
• Prior patient‑facing experience is an advantage but not mandatory.
• Prior lab experience (blood sample processing) is an advantage but not mandatory.
• Proficient in Microsoft Office applications.
• Able to communicate effectively in English; ability to communicate with diverse linguistic groups (e.g. Chinese, Malay, Hokkien, Teochew, Cantonese) is preferred.
• Strong interpersonal and communication skills.
• Motivated, patient‑centric, and able to engage various stakeholders (patients, healthcare professionals, allied health professionals, digital app collaborators).
• Able to work independently with initiative.
• Meticulous with an eye for detail
• Comfortable with basic IT tools and communication applications (e.g. WhatsApp).

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

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28IC-Designer%29/33439-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are looking for a Research Fellow for the (SHINE) Centre 2.0 co-led by Professor Massimo Alioto, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The selected candidate is expected to work on:

•    physical, thermal and circuit-to-system modeling, design exploration, architecture and validation/testing framework
•    high-level exploration and modeling for predictive power management
•    predictive power management from circuits to voltage-aware model optimization and test chip demonstration
•    predictive power management from circuits to voltage and temperature-aware model optimization and test chip demonstration
•    predictive power management runtime adaptation for accurate event detection with test chip demonstration
•    full integration of voltage/temperature-aware circuits, models and runtime adaptation for accurate event detection
•    authoring high-quality research papers for leading conferences and journals and presenting findings at international conferences.
•    managing technical milestones for the project and providing technical guidance to PhD and master’s students within the group.

The appointment can commence immediately with a 1-year contract, with prospect of extension. Salary will be commensurate with qualifications and experience.

Qualifications

The candidate must possess:
•    A PhD degree in either Electrical Engineering or strictly related (e.g., Computer, Electronics, Communication, or Information Engineering).
•    Knowledge on circuit architectures, transistor-level design.
•    Knowledge on silicon chip design, EDA tools.
•    Ability to work independently and collaboratively in a team environment.
•    Good communication and interpersonal skills.
•    Open to fixed term contract.

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

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28IC-Designer%29/33441-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are looking for a Research Fellow for the (SHINE) Centre 2.0 co-led by Professor Massimo Alioto, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The selected candidate is expected to work on:

•    physical, thermal and circuit-to-system modeling, design exploration, architecture and validation/testing framework
•    high-level exploration and modeling for predictive power management
•    predictive power management from circuits to voltage-aware model optimization and test chip demonstration
•    predictive power management from circuits to voltage and temperature-aware model optimization and test chip demonstration
•    predictive power management runtime adaptation for accurate event detection with test chip demonstration
•    full integration of voltage/temperature-aware circuits, models and runtime adaptation for accurate event detection
•    authoring high-quality research papers for leading conferences and journals and presenting findings at international conferences.
•    managing technical milestones for the project and providing technical guidance to PhD and master’s students within the group.

The appointment can commence immediately with a 1-year contract, with prospect of extension. Salary will be commensurate with qualifications and experience.

Qualifications

The candidate must possess:
•    A PhD degree in either Electrical Engineering or strictly related (e.g., Computer, Electronics, Communication, or Information Engineering).
•    Knowledge on circuit architectures, transistor-level design.
•    Knowledge on silicon chip design, EDA tools.
•    Ability to work independently and collaboratively in a team environment.
•    Good communication and interpersonal skills.
•    Open to fixed term contract.

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

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Engineer-%28IC-Designer%29/33449-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are looking for a Research Engineer for the (SHINE) Centre 2.0 co-led by Professor Massimo Alioto, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The selected candidate is expected to work on:

•    physical, thermal and circuit-to-system modeling, design exploration, architecture and validation/testing framework
•    chip and substrate model iterative fine-tuning (e.g., thermals, parasitics), early raw dataset creation from circuit/system simulations, final raw dataset creation from iterative measurements, prototype circuit design, system assembly and testing
•    data gathering and preparation, AI model architecture evaluation, training/inference implementation and integration with chip architecture
•    end-to-end system modeling, exploration, architectures and system integration
•    analog frontend circuit and sensor modeling, exploration, verification and testing
•    authoring high-quality research papers for leading conferences and journals and presenting findings at international conferences.
•    managing technical milestones for the project

The appointment can commence immediately with a 1-year contract, with prospect of extension. Salary will be commensurate with qualifications and experience.

Qualifications

The candidate must possess:
•    a Masters/Bachelor degree in either Electrical Engineering or strictly related (e.g., Computer, Electronics, Communication, or Information Engineering).
•    Knowledge on circuit architectures, transistor-level design.
•    Knowledge on silicon chip design, EDA tools.
•    Ability to work independently and collaboratively in a team environment.
•    Good communication and interpersonal skills.
•    Open to fixed term contract.

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

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28Electronics-Engineer%29/33426-en_GB/

We regret that only shortlisted candidates will be notified.

About the Centre for Quantum Technologies (CQT)

The Centre for Quantum Technologies (CQT) in Singapore brings together physicists, computer scientists and engineers to do basic research on quantum physics and to build devices based on quantum phenomena. Experts in this new discipline of quantum technologies are applying their discoveries in computing, communications, and sensing.
CQT is hosted by the National University of Singapore. The Centre also has staff at the Agency for Science, Technology and Research, Nanyang Technological University, Singapore, and the Singapore University of Technology and Design. With some 200 staff and students, it offers a friendly and international work environment

Learn more about CQT at www.quantumlah.org

Job Description

The Centre for Quantum Technologies (CQT), National University of Singapore is looking for researchers and engineers to develop next generation quantum computers based on trapped ions. There are multiple positions available at different levels with a diverse set of expertise. This program is funded under the National Quantum Processor Initiative, a flagship program under the National Quantum Office Singapore. The aim of the program is to develop a full stack quantum processor system based on Yb-Ba ions emphasizing on the performance rather than on the qubit numbers. This program brings together the unique capabilities of the existing ion trap groups in CQT expertizing on these two-ion species to explore scalability of the system.

The Centre for Quantum Technologies is a pioneering quantum centre in the world offering a diverse research culture at the intersection of the cross-section of three different fields namely, theoretical, experimental Physics and computer science. We offer competitive salary and enriching intellectual experience in a city state known for its forward outlook. This program also allows strong collaboration within and outside the country with leading academic and industrial groups within and outside the country. We are looking for talented electrical/electronic engineers to join the team of scientists and engineers working on the next generation of the quantum processor.

The team members will work to build electronics to control the ion trap quantum processor. That includes digital design, RF and microwave sources and low noise analog / digital front end. The ideal candidate should have practical experience in at least one of the following fields and desire to cross the boundaries and learn relevant skills. The successful candidate will be involved in all stages of the development cycle: collaborate with other team members to define the technical requirements, design, manufacturing, testing and integration of the prototype into the control system.

Job Requirements

We are looking for several electrical engineers to join the small team of scientists and engineers working on the next generation of the ion trap quantum processor. The candidate should have:

• Bachelor or Master degree in electronics, electrical engineering or related fields;
• At least 1-2 years of experience in electronics design is preferred;
• Experience in programmable digital logic design using Verilog or VHDL, digital signal processing, and familiarity with control theory;
• Design and characterisation of low noise electronics for the analog front end, good understanding of the noise sources in electronic circuits;
• Design and implementation of the RF electronics circuits.

More Information

For more details please contact: Manas Mukherjee at cqtmukhe@nus.edu.sg

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-%28Biological-Sciences%29/28786-en_GB/?st=51D9C790F1E82044376B0BF6D2B166AC03A02A96

We regret that only shortlisted candidates will be notified.

Job Description

At NUS, the health and safety of our staff and students are one of our utmost priorities, and COVID-vaccination supports our commitment to ensure the safety of our community and to make NUS as safe and welcoming as possible. Many of our roles require a significant amount of physical interactions with students/staff/public members. Even for job roles that may be performed remotely, there will be instances where on-campus presence is required.

Taking into consideration the health and well-being of our staff and students and to better protect everyone in the campus, applicants are strongly encouraged to have themselves fully COVID-19 vaccinated to secure successful employment with NUS.

Qualifications

BSc, MSc or PhD in Structural Biology, Microbiology, Biochemistry, or Molecular Biology.

Skill & knowledge:
Strong communication skills in English, both written and verbal. Experience in lab management or interest in developing skills in this area. Proficiency in office software, including Word, Excel, and PowerPoint, as well as some IT skills.

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-%28Electronics-Engineer%29/33425-en_GB/

We regret that only shortlisted candidates will be notified.

About the Centre for Quantum Technologies (CQT)

The Centre for Quantum Technologies (CQT) in Singapore brings together physicists, computer scientists and engineers to do basic research on quantum physics and to build devices based on quantum phenomena. Experts in this new discipline of quantum technologies are applying their discoveries in computing, communications, and sensing.
CQT is hosted by the National University of Singapore. The Centre also has staff at the Agency for Science, Technology and Research, Nanyang Technological University, Singapore, and the Singapore University of Technology and Design. With some 200 staff and students, it offers a friendly and international work environment

Learn more about CQT at www.quantumlah.org

Job Description

The Centre for Quantum Technologies (CQT), National University of Singapore is looking for researchers and engineers to develop next generation quantum computers based on trapped ions. There are multiple positions available at different levels with a diverse set of expertise. This program is funded under the National Quantum Processor Initiative, a flagship program under the National Quantum Office Singapore. The aim of the program is to develop a full stack quantum processor system based on Yb-Ba ions emphasizing on the performance rather than on the qubit numbers. This program brings together the unique capabilities of the existing ion trap groups in CQT expertizing on these two-ion species to explore scalability of the system.

The Centre for Quantum Technologies is a pioneering quantum centre in the world offering a diverse research culture at the intersection of the cross-section of three different fields namely, theoretical, experimental Physics and computer science. We offer competitive salary and enriching intellectual experience in a city state known for its forward outlook. This program also allows strong collaboration within and outside the country with leading academic and industrial groups within and outside the country. We are looking for talented electrical/electronic engineers to join the team of scientists and engineers working on the next generation of the quantum processor.

The team members will work to build electronics to control the ion trap quantum processor. That includes digital design, RF and microwave sources and low noise analog / digital front end. The ideal candidate should have practical experience in at least one of the following fields and desire to cross the boundaries and learn relevant skills. The successful candidate will be involved in all stages of the development cycle: collaborate with other team members to define the technical requirements, design, manufacturing, testing and integration of the prototype into the control system.

Job Requirements

We are looking for several electrical engineers to join the small team of scientists and engineers working on the next generation of the ion trap quantum processor. The candidate should have:

• Bachelor or Master degree in electronics, electrical engineering or related fields;
• At least 1-2 years of experience in electronics design is preferred;
• Experience in programmable digital logic design using Verilog or VHDL, digital signal processing, and familiarity with control theory;
• Design and characterisation of low noise electronics for the analog front end, good understanding of the noise sources in electronic circuits;
• Design and implementation of the RF electronics circuits.

More Information

For more details please contact: Manas Mukherjee at cqtmukhe@nus.edu.sg

As a clinical research coordinator, you will be actively involved in coordinating clinical trial activities according to the study protocol and in compliance to the ICH Good Clinical Practice guidelines and the Health Products (Therapeutic Products) Regulations under the Health Product Act.

You will support and assist the Principal Investigator in the following trial related activities:

• Patient screening and recruitment,
• Monitoring subject’s compliance to their treatment and follow-up,
• Data collection and management including resolving data discrepancies,
• Coordinating the collection of biological specimens,
• Monitoring of adverse events and safety reporting,
• Maintaining and organising of investigator site files, preparation and submissions to the ethics committee and relevant local health authorities,
• Tracking of trial expenditures and timely invoicing.

Requirements:

• Degree in Life Sciences/Nursing
• OR Diploma in Nursing with minimum 6 years working experience as CRC
• 2 years of related working experience will be advantageous
• Excellent time-management and communication skills
• Able to work independently and as a team
• Detail-oriented and self-motivated
• Good grasp of MS Office applications

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-%28Electronics-Engineer%29/27085-en_GB/

We regret that only shortlisted candidates will be notified.

About the Centre for Quantum Technologies (CQT)

The Centre for Quantum Technologies (CQT) in Singapore brings together physicists, computer scientists and engineers to do basic research on quantum physics and to build devices based on quantum phenomena. Experts in this new discipline of quantum technologies are applying their discoveries in computing, communications, and sensing.
CQT is hosted by the National University of Singapore. The Centre also has staff at the Agency for Science, Technology and Research, Nanyang Technological University, Singapore, and the Singapore University of Technology and Design. With some 200 staff and students, it offers a friendly and international work environment

Learn more about CQT at www.quantumlah.org

Job Description

The Centre for Quantum Technologies (CQT), National University of Singapore is looking for researchers and engineers to develop next generation quantum computers based on trapped ions. There are multiple positions available at different levels with a diverse set of expertise. This program is funded under the National Quantum Processor Initiative, a flagship program under the National Quantum Office Singapore. The aim of the program is to develop a full stack quantum processor system based on Yb-Ba ions emphasizing on the performance rather than on the qubit numbers. This program brings together the unique capabilities of the existing ion trap groups in CQT expertizing on these two-ion species to explore scalability of the system.

The Centre for Quantum Technologies is a pioneering quantum centre in the world offering a diverse research culture at the intersection of the cross-section of three different fields namely, theoretical, experimental Physics and computer science. We offer competitive salary and enriching intellectual experience in a city state known for its forward outlook. This program also allows strong collaboration within and outside the country with leading academic and industrial groups within and outside the country. We are looking for talented electrical/electronic engineers to join the team of scientists and engineers working on the next generation of the quantum processor.

The team members will work to build electronics to control the ion trap quantum processor. That includes digital design, RF and microwave sources and low noise analog / digital front end. The ideal candidate should have practical experience in at least one of the following fields and desire to cross the boundaries and learn relevant skills. The successful candidate will be involved in all stages of the development cycle: collaborate with other team members to define the technical requirements, design, manufacturing, testing and integration of the prototype into the control system.

Job Requirements

We are looking for several electrical engineers to join the small team of scientists and engineers working on the next generation of the ion trap quantum processor. The candidate should have:

• Bachelor or Master degree in electronics, electrical engineering or related fields;
• At least 1-2 years of experience in electronics design is preferred;
• Experience in programmable digital logic design using Verilog or VHDL, digital signal processing, and familiarity with control theory;
• Design and characterisation of low noise electronics for the analog front end, good understanding of the noise sources in electronic circuits;
• Design and implementation of the RF electronics circuits.

More Information

For more details please contact: Manas Mukherjee at cqtmukhe@nus.edu.sg

Job scope:

- Wash apparatus 

- Check equipment

- Maintain general cleanliness of the labs

- Any other duties assigned by the Lab Technologists.

Working hours:

Monday to Thursday: 7.30 am to 5 pm; Friday: 7.30 am to 4.30 pm

Contract start & end date: 03 Aug to 17 Sep 2026

We are looking for a Research Technologist for the Divison of Medical Oncology team.

They will be involved in assisting in day to day laboratory maintenance, experimental setup and tissue sample logistics. They will be trained in basic molecular biology techniques including DNA/RNA extraction, western blot and cell culture. They will also have the opportunity to be trained in single -cell and single nuclei processing using 10x Genomics workflow.

Responsibilities:

1. Assist in laboratory maintenance

• Weekly top up of laboratory consumables
• Weekly refill of pipette tips for autoclave
• Weekly checking of liquid nitrogen tank
• assist in cleaning of water bath and incubator water tray when needed
• Prepare reagent or buffers when required
• Clearing of biohazard waste

2. Assist in blood processing

• Processing of patient blood sample using Ficoll
• Ensure proper documentation of required information from blood processing

3. Assist in tissue logistics

• Sending of ice box to operating theatre
• Collection of patient tissue sample from pathology department

4. Assist in organoid culture

• Process tissue aseptically for culture of organoid
• Perform weekly maintenance for the organoid culture
• Ensure proper documentation of organoid inventory

5. Assist in genotype profiling of patient tumour sample and organoid

• DNA/RNA extraction from frozen tissue and organoid
• Submission of DNA/RNA samples to external sequencing partner
• Perform dPCR for genotype profiling of tumour sample and organoid

Requirements:

• Diploma in Biotechnology/Biomedical Science
• Open to students currently pursuing evening part-time degree studies
• Able to commit Mon-Fri office working hours
• Internship experience in diagnostic service laboratory or research laboratory
• Team player, strong collaborator
• Independent worker, possess initiative to complete tasks and projects assigned
• Highly motivated to learn new techniques and not afraid to ask if unsure

REPORTS TO: Middle & High School Principal

JOB GOAL: A High School Science teacher at ICS must have a strong understanding of the Next Generation Science Standards (NGSS) and have experience closing the achievement gap. They must develop engaging and innovative lessons that allow our students to grow academically, socially and emotionally. The teacher should be confident in incorporating technology (including emerging technologies such as GenAI) and hands-on learning experiences into the classroom with enthusiasm and also believe in collaboration with other colleagues, promoting understanding and communication in a diverse learning and cultural environment.

PERFORMANCE RESPONSIBILITIES:

• Plan, prepare, and execute appropriate lessons, utilizing appropriate resource materials and activities.
• Follow the prescribed scope and sequence of curriculum and assessment as scheduled.
• Employ a variety of instructional aides, methods, and materials that will promote best practices in order to reach the whole child as stated in the ICS mission statement.
• Assess student learning against the appropriate standards on a regular basis and provide progress reports as required.
• Identify the needs of students through diagnostic procedures and align instructional objectives to these needs.
• Effect student learning through mastery of the subject material by utilizing valid teaching techniques to achieve curriculum goals within the framework of the school’s philosophy.
• Eager to explore and learn about emerging technologies, such as Generative AI, with a commitment to integrating them effectively into the classroom to foster critical thinking and guide students in developing ethical and responsible use.
• Ensure Biblical Worldwide Integration (BWI) is mapped throughout the curriculum.
• Complete lesson/unit plans, Atlas, ESO documentation, and PLC expectations within specified time frames.
• Maintain student records as required by the school.
• Communicate with parents, students, and other professional staff regarding student progress (behavioral and academic).
• Follow school policies, procedures, rules, regulations, and guidelines and the provisions of the contract.
• Maintain proper discipline in the classroom and on the school premises utilizing teacher created discipline plans in conjunction with a school-wide discipline plan.
• Inform the administration if/when unable to fulfill any duty assigned. Prepare adequate information and materials for a substitute teacher.
• Plan and lead a student Chapel when called upon.
• Supervise extracurricular activities, organizations, and outings as assigned.
• Complete the Christian Philosophy of Education in-service program within the first three years of teaching at ICS.
• Attend and participate in devotions, teachers’ meetings, evening programs (if involving his or her students or as requested by the administration), and other meetings as assigned.
• Carry out supervisory duty as assigned (before school, break, lunch, after school).
• Maintain a classroom in a clean and educationally stimulating environment.
• Maintain regular and accurate attendance and grade reports that provide comprehensive information for each student’s learning progress.
• Keep students, parents, and the administration informed of students’ progress or deficiencies, and provide sufficient and timely notice to parents when students fail to meet learning standards.
• Submit all appropriate reports to the administration, guidance office, and business office as required by school regulations or as requested.
• Work with the administration in implementing all policies, procedures, and directives governing the operation of the school.
• Complete professional development programs as required by the administration and/or ICS Board.
• Maintain teaching credentials as required through sponsoring agencies (state/provincial education department, ACSI, etc.). Acquire and maintain teaching credentials as required by the laws of Singapore, NICS, and/or ICS.
• Demonstrate the character qualities of enthusiasm, courtesy, flexibility, integrity, kindness, self-control, perseverance, and punctuality.
• Exemplify strong interpersonal and communication skills.
• Meet everyday stress with emotional stability, objectivity, and optimism.
• Develop and maintain rapport with students, parents, and staff by treating others with friendliness, open-mindedness, dignity, and consideration.
• Respectfully submit to and demonstrate loyalty to constituted authority.
• Maintain a personal appearance that models cleanliness, modesty, good taste, and is in agreement with school policy.

QUALIFICATIONS:

• Bachelor’s Degree
• Teaching credential from a US state, Canadian province or from ACSI (exceptions will be approved by the Academic Board)
• Expertise in working with students and teaching Advanced Placement (AP) courses
• Knowledge of specific subject(s)

Salary and Benefits

The stated salary range is inclusive of benefits and allowances for eligible employees. Actual compensation may vary depending on eligibility and employment terms.

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/33378-en_GB/?st=D69A109800B45D05A9B168D1AA363BC6A2D3EC43

We regret that only shortlisted candidates will be notified.

Job Description

The job holder will assist with provide data management, analytical and reporting support for research project.

Duties & Responsibilities 

• Clean and document survey datasets to ensure data accuracy, consistency and readiness for analysis
• Conduct predictive analysis using statistical and analytical methods to identify patterns, trends and insights from survey data
• Develop data visualisations, reporting outputs to communicate survey findings
• Prepare technical documentation and analytical reports and provide support in the interpretation and presentation of survey results for research purpose.
• Any other duties as assigned

Qualifications

• Degree in Data Science and Economics , Computer Science or a related discipline
• Experience in survey data management
• Proficient in statistical and analytical software
• Experience in development of data visualisation and analytical reports using relevant tools
• Strong analytical, problem solving and communication skills with ability to present findings clearly in both technical/non-technical way
• Ability to work independently, manage multiple tasks and meet project datelines in a research environment

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

Job Description

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

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

Job Requirements

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

We regret that only shortlisted candidates will be notified.

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

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28structural-system-analysis%29/33487-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

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

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

Job Requirements

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

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

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

About the Role

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

Responsibilities:

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

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

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

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

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

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

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

  Requirements:

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

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

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

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

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

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

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

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

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

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