Total 415 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

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.

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.

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.

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 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 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.

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

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.

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-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

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

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

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-%28Cancer-Science-Institute%29/33300-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The Research Fellow will have opportunities to work with well-characterised clinical samples, state-of-the-art laboratory platforms, and an extensive network of local and international collaborators while contributing to high-impact publications and future clinical translation.

Key Responsibilities

• Design, plan, and execute independent research projects aligned with the laboratory's scientific objectives.
• Investigate mechanisms by which DNA damage and DNA repair defects influence innate and adaptive immune responses in cancer.
• Study immunogenic cell death, cytosolic nucleic acid sensing pathways, and tumour immune microenvironment modulation following genotoxic chemotherapy.
• Develop and optimise molecular and cellular assays related to DNA repair, immune activation, and cancer biology.
• Perform and interpret experiments using cell line models of epithelial and lymphoid malignancies.
• Apply quantitative microscopy and histopathological imaging techniques to investigate immune modulation pathways in human tumour samples.
• Analyse and interpret complex experimental datasets using appropriate statistical and computational approaches.
• Collaborate with clinicians and translational researchers to analyse patient-derived clinical specimens and develop clinically relevant biomarkers.
• Contribute to the design and evaluation of novel chemotherapy-immunotherapy combination strategies.
• Prepare manuscripts for publication in peer-reviewed journals and present findings at scientific conferences.
• Assist in preparing research grant applications and progress reports.
• Mentor graduate students, research assistants, and junior laboratory members where appropriate.
• Contribute to laboratory management, protocol development, and maintenance of high standards of scientific integrity and research compliance.
• Foster a collaborative, respectful, and inclusive research culture.

Qualifications

• PhD in Cancer Biology, Immunology, Molecular Biology, Cell Biology, Biomedical Sciences, Genetics, or a related discipline.
• Strong publication record in peer-reviewed scientific journals.
• Demonstrated expertise in one or more of the following:DNA damage response and DNA repair biologyCancer immunologyMolecular and cellular biologyImmunofluorescence and quantitative microscopyFlow cytometryCRISPR/Cas9 genome editingGenomic and transcriptomic analysesCancer cell culture and functional assays
• Experience working with animal models and/or human clinical specimens would be advantageous.
• Familiarity with bioinformatics or computational analysis of biological datasets is desirable.
• Excellent scientific writing, presentation, and communication skills.
• Ability to work both independently and collaboratively within multidisciplinary teams.

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.

Company Overview:

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

Job Summary:

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

Key Responsibilities:

1. Research & product development

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

2. Documentation & Reporting:

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

3. Additional Duties:

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

Required Qualifications:

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

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

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28Dept-of-Materials-Science-and-Engineering%29-1/30162-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are looking for highly talented and motivated candidates to work on developing closed loop robotics hardware and software. Together with a multi-disciplinary team of electronics/electrical engineers, you will be part of an exciting research program to develop next-generation sensor devices and systems for human-machine interactions. 

Qualifications

PhD in Materials Sciences, Robotics, Mechanical Engineering, or related disciplines.

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

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28Biological-Sciences%29/33316-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

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

The work would include:

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

Qualifications

PhD Degree in Science and in related fields.

Skills:

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

Experience:

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

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

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28Urban-Water-Management-%29/33428-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

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

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

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

Qualifications

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

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

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Assistant%2C-School-of-Computing/33417-en_GB/?st=A55755FF81B4A3D34A21E0374435BE769288FA37

We regret that only shortlisted candidates will be notified.

Job Description

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

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

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

Job Requirements

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

Job Summary

Role Overview

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

Key Responsibilities

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

Requirements

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

Career Growth & Impact

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