Total 535 Education / Training job vacancies in PASIR GUDANG

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

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-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.

About Seashell Academy

Seashell Academy is a fast-growing PSLE-focused tuition centre in Singapore, specialising in Chinese, Mathematics and Science.

We work closely with families to design structured learning pathways and help students improve with clarity and confidence.

As we continue to expand, we are looking for driven and motivated individuals to join us as Course Consultants.

Job Summary

Work closely with parents and students to understand academic needs, recommend suitable learning programmes, and guide families through the enrolment process. This is a sales-driven and consultation-focused role involving parent communication, trial lesson arrangements, and student enrolment conversion.

Key Responsibilities

• Contact parents via phone, WhatsApp, and other communication channels
• Arrange consultations and trial lessons for students
• Understand students’ learning challenges and recommend suitable programmes
• Guide parents through enrolment decisions and course planning
• Follow up consistently with enquiries and trial students
• Achieve enrolment targets and performance KPIs
• Maintain accurate CRM records and follow-up tracking
• Work closely with teachers and academic teams to support students’ learning progress
• Build strong long-term relationships with families

Requirements

• Singapore Citizen or Singapore Permanent Resident (PR)
• Fluent in English and Mandarin (spoken and written) to communicate with parents
• Strong communication and interpersonal skills
• Comfortable speaking with parents and conducting consultations
• Sales-driven and comfortable working in a target-based environment
• Responsible, organised, and proactive
• Willing to work on weekends

Fresh graduates are welcome to apply (training provided).

Experience in education, customer service, telesales, or sales will be an advantage.

Working Schedule

• Full-time position
• 5-day work week
• Weekend work required
• Off days on weekdays

Salary & Benefits

• Competitive basic salary + performance incentives
• Clear KPI and commission structure
• Structured training system
• Career progression opportunities
• Supportive and fast-growing team environment

Why Join Seashell Academy

• Opportunity to grow in the education industry
• Professional training in consultation and communication
• High-growth environment with expansion opportunities
• Meaningful work helping students and families succeed

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.

Hablas español?

We’d like to hear from you.

Join us as a full-time Spanish Language teacher and share the beauty of the language and the culture.

Visit this website to have more details on the daily work of a teacher in MOE and MOELC:
•https://www.moelc.moe.edu.sg/courses/#post_299

We are looking for dedicated and highly-motivated Spanish Language teachers to work full-time at our MOE Language Centre.

If you have a degree and teaching certification in Spanish Language, in addition to possessing excellent communication skills and a passion for teaching, we welcome you to apply for this position. Applicants should also have the fitness and stamina to deliver lessons, and resilience required to engage students safely and carry out their duties effectively.

You can look forward to a fulfilling career that enables you to develop your students both within and beyond the classroom.

Requirements

• A university degree in Spanish Language.

• A Certificate in the Teaching of Spanish as a Foreign Language (e.g. Bachelor/Masters in Education, Postgraduate Certificate/Diploma in Education).

• At least 3 years of relevant experience teaching Spanish as a Foreign language.

• Experience teaching in classroom settings at secondary level (13-18 years old) in public schools and preparing students for the GCE/GCSE O or A-Level will be an advantage.

• Familiar with setting assessment papers for essay writing, reading and comprehension, and grammar.

• Up-to-date with current best practices, current teaching materials, and current instructional strategies (e.g., effective application of educational technology).

• Good interpersonal skills, communication skills and an excellent team player who works well with students, colleagues and parents.

• A working knowledge of English (CEFR B2 level) is necessary.

Application Details

If you wish to be considered for an interview, please apply via Careers@Gov at link

The application window will be open from 23 June 2026 to 7 July 2026, 11pm (Singapore Time).

Applications submitted after this time may encounter technical difficulties and cannot be guaranteed successful submission.

Only applications received via the FormSG application form will be considered.

Should you encounter any difficulty in submitting your application, please contact us at moe_fru@moe.gov.sg for assistance.

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/Senior-Research-Fellow-%28%C2%B9%E2%81%B7%E2%81%B6Lu%E2%81%BA-Optical-Clock-Laboratory%29/33440-en_GB/

We regret that only shortlisted candidates will be notified.

About the Centre for Quantum Technologies (CQT)

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

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

Job Description

The Barrett group at CQT is the world's leading laboratory developing ¹⁷⁶Lu⁺  as an optical clock species. Lutetium-176 offers exceptionally low sensitivity to blackbody radiation shifts and a highly favourable systematic
uncertainty budget, making it a compelling candidate for next-generation optical timekeeping. Our programme isactively pushing towards multi-ion clock architectures — including linear ion crystals and multiplexed trap arrays —to surpass the quantum projection noise limits of single-ion operation and achieve unprecedented clock stability atshort averaging times. A key aim of the programme is to translate this technology into a commercialisable turnkeysystem for deployment at Singapore's National Metrology Centre (NMC).

We are seeking an exceptional Senior Scientist to lead experimental research within our ¹⁷⁶Lu⁺ optical clockprogramme at the Centre for Quantum Technologies (CQT), Singapore. This is a senior individual-contributor
position at the cutting edge of precision quantum metrology, with direct impact on international timekeeping,tests of fundamental physics, and Singapore's national measurement infrastructure.The successful candidate will drive original research, take ownership of key experimental subsystems, mentor junior researchers and graduate students, engage with industry and national metrology partners, and contribute to the long-term scientific and translational roadmap of the laboratory.

Key Responsibilities

• Lead the design, development, and operation of ion trap systems for ¹⁷⁶Lu⁺, including the engineering of novel trap geometries suited to multi-ion clock operation..
• Drive the experimental realisation of multi-ion clock configurations: ion crystal preparation, laser cooling, and correlated interrogation schemes for stability beyond the standard quantum limit.
• Develop and maintain ultra-stable laser systems and optical frequency infrastructure, including cavity-stabilised clock lasers and optical frequency combs.
• Contribute to optical frequency comparison and dissemination capabilities, including fibre-link and satellite-based clock comparisons.
• Work closely with local industry and metrology partners to develop a commercialisable turnkey ¹⁷⁶Lu⁺ clock system suitable for implementation at the A*STAR National Metrology Centre (NMC).
• Mentor postdoctoral researchers and PhD students; contribute to grant applications, scientific reporting, and laboratory operations.

Required Qualifications

• PhD in Physics with specialisation in AMO physics, precision metrology, or quantum information science.
• Demonstrated track record of high-impact independent experimental research evidenced by peer-reviewed publications.
• Hands-on expertise in ion trapping: rf Paul traps, trap fabrication or characterisation, micromotion compensation, and laser cooling of atomic ions.
• Proficiency with ultra-stable laser systems: cavity-stabilised lasers, laser locking, optical frequency chains, and electro-optic/acousto-optic control.
• Strong experimental skills in ultra-high vacuum technology, optical design, and precision rf and digital electronics.
• Excellent written and oral communication skills with the ability to present complex results to both specialist and general audiences.

Preferred Experience

Cryogenic ion traps

Experience operating ion traps at 4 K or below, including pulse-tube or dilution refrigerator integrationand cryogenic rf delivery.

Multi-ion architectures

Ion crystal formation and control, mixed-species crystal operation, or multiplexed trap-array design and characterisation.

Optical frequency metrology

Optical frequency comb operation, absolute frequency measurement, or fibre-based optical clock comparison and dissemination.

Experimental automation

Python-based experiment control, FPGA or ARTIQ sequencing, and real-time digital feedback for clock servo loops.

Additional Information

What we offer:

• Competitive, commensurate with experience.
• Dedicated equipment & travel allowance.
• World-class research hub at the NUS campus in Singapore.

To apply, please submit a CV, a research statement describing your relevant expertise and vision for the Lu+ clock programme (max 2 pages), and the names of three referees. Applications are reviewed on a rolling basis — early submission is encouraged. Inquiries should be directed to Prof. Murray Barrett at phybmd@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-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.

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-Assistant-%28Relative-smooth-optimization-theory%29/33396-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

In recent decades, we have witnessed significant progresses in the convergence and complexity theory of the first-order optimization methods, with gradient global Lipschitz continuity (GGLC) assumption playing a central role, in many classical results. However, a large class of important problems arising in modern optimization and machine learning do not satisfy this assumption. As a result, there remains a substantial gap between the theory and practical behavior of many widely used algorithms.

This project, led by Dr. Zhang, aims to strengthen the theoretical foundation of relative smooth optimization, an emerging framework developed to go beyond the classical GGLC setting. In particular, the project will study first-order methods under relative smoothness, with a focus on nonconvex problems, more appropriate optimality measures, and new non-Euclidean Lipschitz tools that better capture the underlying problem geometry. The goal is to establish sharper convergence and complexity results, clarify several widely adopted but potentially misleading arguments in the current literature, and develop a more reliable and powerful new analysis framework for the relative smooth problem class.

Job Requirements

Interested applicants are required to possess a BSc. in 2026. He/she should have a good understanding in

1.    convergence and complexity analysis for (nonconvex) optimization algorithms  
2.    stochastic process and stochastic approximation methods

In particular, as this is a research assistant position for only 1 year. The applicant should be experienced in MATLAB and Python coding. In particular, he/she should have the ability to adapt base codes of PyTorch to implement new algorithms instead of calling built-in functions.

As we plan to apply our methodologies to the training and tuning of language models, it will be an advantage if the applicant has related 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-Assistant-%28HCI%2C-Human-AI-Collaboration%29/33423-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

Augmented Human Lab, at the Smart Systems Institute, National University of Singapore is seeking a highly motivated Research Assistant to work on the co-design and development of human–robot collaboration interfaces for high-risk operational scenarios such as chemical spill response and urban search-and-rescue.

The Research Assistant will work on designing, prototyping, and evaluating interactive systems that integrate explainable on-device AI and small language models (SLMs) to support human operators in making faster, safer, and more confident decisions. You will collaborate with a multidisciplinary team of researchers, especially research fellows and industry partners.

This role is ideal for candidates interested in applied HCI research, rapid prototyping, user-centered design, and translational AI systems progressing from early-stage concepts toward system-level demonstrations

Major responsibilities:

• Support requirements gathering with domain experts and industry collaborators, including field observations, interviews, and task analysis.
• Assist in the design of interfaces that promote shared mental models, transparency, and explainability in human–robot collaboration.
• Develop UI prototypes and interaction concepts through iterative user-centered design cycles with end-users.
• Run benchmarking experiments and user studies with human operators, including experimental setup, data collection, and post-trial analysis.
• Contribute to dissemination activities, including conference papers, posters, demos, and documentation.
• Participate actively in lab meetings, project reviews, and collaborative workshops with academic and industrial partners.

Experience and Skills

• Bachelor’s or Master’s degree from a reputable university in Computer Science, Engineering, HCI, or a related field.
• Strong programming experience in at least one of: Python, C/C++, Java, Swift.
• Familiarity with UI prototyping frameworks or mobile/interactive systems development.
• Experience working with experimental systems, data collection pipelines, and basic statistical analysis.
• Ability to work independently while collaborating effectively within a multidisciplinary team.
• Excellent written and verbal communication skills.

• Following skills will be an added advantage Experience with human-centered design, usability testing, or interaction design for complex systems. Exposure to machine learning pipelines, deployment on edge devices, or embedded platforms. Familiarity with development environments and platforms such as VS Code, PyCharm, Xcode, Android Studio, or ADB tools. Experience with hardware prototyping platforms such as Arduino, Raspberry Pi, ESP32, or similar microcontrollers. Knowledge of virtualization or containerization tools (e.g., Docker, VirtualBox, VMware).Experience with cloud or backend services such as AWS, Firebase, or similar platforms. Prior involvement in research projects progressing toward real-world deployment or technology translation.

Why join us

NUS is a world-class university that provides an outstanding and supportive research environment. Its School of Computing is highly ranked within the top 10 in the world. The Augmented Human Lab is an excellent environment with a diverse team (www.ahlab.org/people) which will accelerate your research career.

The initial term of appointment will be 1-year and renewable based on performance. The selected candidate will be offered competitive salaries and benefits.

How to Apply: Email CV and a short statement of interest to the NUS Career Portal.

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-%28Digital-Design-Landscape-Design-Decision-Support-Tools-%29/33432-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 3.5 years based on the performance and career plan of the hired person.

Responsibilities
•    Assess landscape performance (visual, spatial, and functional)
•    Apply geospatial and image-based analysis methods
•    Develop digital decision-support tools for landscape design
•    Support project coordination and delivery

Qualifications

•    PhD in Landscape Architecture, Computer Science, Data Science, or related field
•    Experience in point cloud analysis or real-time object tracking
•    Proficiency in programming and data-driven design workflows
•    Experience in tool development and visualization preferred
•    Strong problem-solving and project management 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-Fellow-%28Embodied-Robotic-Manipulation%29/33422-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The postdoctoral position focuses on advanced research in robotic systems and embodied intelligent technologies, particularly robot multimodal perception, 3D scene understanding, vision-guided manipulation, and autonomous robotic operation in complex environments. Research topics include, but are not limited to, robotic multimodal perception and sensing, object pose estimation/tracking, robotic closed-loop manipulation, intelligent robotic platforms, and integrated perception-planning-control systems. The appointee will be responsible for conducting high-impact research, developing robust robotic perception and manipulation systems, building and validating robotic platforms in real-world scenarios, publishing in top-tier journals and conferences, supporting research proposal preparation, and mentoring junior students.

Qualifications

Candidates should have a Ph.D. in Robotics, Control Science and Engineering, Automation, or related disciplines.

Candidates with prior postdoctoral research experience will be preferred.

Applicants should demonstrate strong expertise in robotic systems, with experience in one or more of the following areas: robot perception, 3D machine vision, object pose estimation/tracking, vision-guided manipulation, autonomous robotic systems, or perception-planning-control integration.

Hands-on ability in robotic platform development, system integration, experimental validation, programming, and real-world deployment is highly desirable.

A strong track record of publications in top-tier journals and conferences, the ability to work independently, experience in research proposal preparation or student mentorship, and good communication skills in English are required.

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%2C-AI-%28School-of-Computing%29/33416-en_GB/?st=6AA3089AAA04B6DCA01FC3ECA2343BEB943EC99C

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for the position of Research Fellow 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 in developing novel computational solutions to a wide range of applications, building largescale experimental systems, developing theories and policies for effective management of information systems in organizations, 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 highly motivated and skilled researchers to drive innovation in trustworthy AI. The ideal candidate should possess expertise in one or more of the following research areas:

•    Model Robustness and Safety: fairness, value alignment, adversarial robustness, model jailbreaking, etc.
•    Cognitive capabilities: reasoning model, mitigating model hallucination, symbolic knowledge machine learning, etc.
•    Multilingual and multicultural foundation models

The successful candidate will work on advanced techniques across various data modalities, including textual, visual, and auditory data.

You will be expected to:
•    Collaborate with a diverse team of computer scientists and domain experts to contribute to an interdisciplinary research programme.
•    Conduct rigorous research and develop innovative solutions to complex problems.
•    Publish and present research findings in academic journals and conferences.
•    Develop and present demos for your research.
•    Assist in the development and testing of algorithms or behavioral models.
•    Participate in regular team meetings and contribute to collaborative efforts.

Key Responsibilities:
•    Investigated the ethical and technical boundaries of AI safety, providing critical insights for new research directions.
•    Develop state-of-the-art methods for improving the trustworthiness of multimodal models.
•    Collaborate with a multidisciplinary team of researchers, data scientists, and engineers.
•    Publish research findings in top-tier conferences and journals.

Qualifications

•    A PhD degree in Computer Science/Computer Engineering.
•    The candidate’s track record in publication and strengths as an independent researcher are valued.
•    Strong experience in machine learning and deep learning.
•    Excellent programming skills in Python, TensorFlow, PyTorch, or similar frameworks.
•    Proficiency in handling multimodal data, including text, images, audio, and video.
•    Good written and verbal communication skills in English
•    Prior publications in major machine learning (NeurIPS/ICML/ICLR), computer vision (CVPR/ICCV/ECCV), or multimedia (ACM Multimedia) conferences is a plus

Preferred Qualifications:
•    Prior experience in interdisciplinary research.
•    Interest in the impact of digital technologies and AI safety on society.

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

Job Requirements

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

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

The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.

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.