Total 4,406 job vacancies in Singapore

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-%28Wireless-Optical-Communication-Optical-Memory%29/33481-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

Work on hands-on experiments for few of the following tasks:
1. Design, Simulation, and Fabrication of MEMS and Photonics 
2. Design, modelling and testing of Si Photonics
3. Design and set-up testing for high-speed microwave photonics
4. Experience in using the RX6000 and NVidia CUDA toolkit
5.Write 2 or more research papers based on derived data of the above devices in the first year in the top-notch journals
6. Write research grant proposals
7.Supporting and guiding the experiments of MSc students

Qualifications

1. Have learned MEMS, Photonics and high-speed microwave communication system related courses for one semester at post-graduate level and earned score of A- or better.
2. Strong background in hands-on microfabrication techniques at clean room and with journal publications showing such evidences
3. With 1 year and more experience in MEMS design , making and testing MEMS/Photonics
4. Strong knowledge in L-Edit; Lumerical; CST; COMSOL; ANSYS; 
5. Fluent in English speaking and writing
6. Having more than 1 1st-authored international peer-reviewed journal papers, e.g., Nature Communications and Science Advances (for Research Engineer)

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/Global-Research-Partnerships-Consultant-%28Part-Time%29/33472-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

About the Centre

The Centre for Biomedical Ethics (CBmE), Yong Loo Lin School of Medicine, National University of Singapore, is a leading centre for teaching, research and engagement in biomedical ethics, health law, clinical ethics, research ethics, public health ethics, AI ethics, neuroethics and related fields.

CBmE is responsible for the development and delivery of the Health Ethics, Law and Professionalism programme across the undergraduate medical curriculum, and also contributes to postgraduate and continuing professional education in bioethics. The Centre works closely with academic, clinical, policy, regulatory and professional stakeholders in Singapore and internationally.

As CBmE continues to grow its international research profile, regional partnerships and global engagement, the Centre seeks to appoint a part-time International Research Partnerships Consultant to provide specialist support for international research collaboration, strategic academic partnerships, grant development and outward-facing academic engagement.

About the role

The Part-Time Consultant will support the Centre’s international collaborations, strategic partnerships and outreach beyond Singapore. The role is intended to strengthen CBmE’s international profile and research development capacity by supporting the identification and development of international collaborations, research networks, funding opportunities and strategic initiatives. It is a part-time, advisory and project-based role.

The appointment will be offered on a part-time consultancy basis for up to 25 hours per week, subject to agreed deliverables.

Responsibilities of the role as below:

• Support the Head of CBmE in international engagement strategy, including priority regions, institutions, networks and partnership opportunities aligned with the Centre’s mission in biomedical ethics, health policy, research ethics, clinical ethics, neuroethics, AI ethics and related areas.
• Identify and assist with large international grant opportunities
• Identify, maintain or facilitate philanthropic support opportunities, including working with the Development Office of YLLSOM
• Work with CBmE academic and leadership teams to identify areas where international collaboration can strengthen research impact, policy engagement, education, public engagement and capacity building.
• Provide academic development support for international initiatives, including scoping new partnership models, shaping value propositions, preparing concept notes, and advising on pathways for collaborative programmes, networks, funding opportunities and thought leadership activities, including identifying new income stream opportunities.
• Support CBmE’s international positioning by identifying emerging trends and opportunities, and advising on how CBmE can contribute to international debates and collaborations.
• Support the development of outward-facing international materials, including partnership briefs, strategic narratives, concept papers, talking points and presentations for external stakeholders.
• Help track and review the progress of selected international engagement opportunities, including key contacts, next steps, strategic value and possible follow-up actions for CBmE leadership.
• Assist the Head in international engagement, impact, and research as required.
• Undertake other strategic liaison, advisory and partnership development duties as agreed with Head of CBmE, within the scope of the consultancy.

Qualifications

ESSENTIAL CRITERIA

Applicants should have:

• A good degree, in a field relevant to bioethics.
• Significant experience in research management in an international context, research facilitation, academic centre administration and strategic research support within the University sector.
• Experience supporting academic collaborations involving more than one institution, country or region.
• Experience with grant development, funding applications, research budgets, funder liaison, grant reporting or research portfolio coordination.
• Experience preparing reports, briefings or materials for donors, philanthropic partners, funders or senior institutional stakeholders.
• Strong understanding of how academic research centres operate, including the relationship between research, grants, partnerships, institutional processes and external engagement.
• Excellent written and oral communication skills, including experience preparing high-quality materials for academic, institutional, funder, donor, policy or senior stakeholder audiences.
• Strong organisational skills, sound judgment, discretion and professionalism.
• Ability to work independently in a part-time advisory role while collaborating constructively with academic, administrative and leadership colleagues.

DESIRABLE CRITERIA

• Experience working in or with a leading research-intensive university or internationally recognised academic institute.
• Experience in working with biomedical ethics, practical ethics, health policy, clinical ethics, research ethics, AI ethics, neuroethics, public health ethics or a related area.
• Experience supporting the development or growth of a research centre, academic programme, research network or strategic initiative.
• Experience supporting substantial externally funded research portfolios.
• Experience working across time zones, institutional systems and cultural contexts.

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-%28National-Centre-for-Engineering-Biology%29/33480-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are seeking one highly motivated and creative postdoctoral researcher to join our dynamic team at the Synthetic Biology for Clinical and Technological Innovation (SynCTI), Synthetic Biology Translational Research Programme, Yong Loo Lin School of Medicine, National University of Singapore (NUS) and the National Centre for Engineering Biology (NCEB).  

The selected Research Fellow will work collaboratively with the Principal Investigator (PI) and our research team on projects aimed at advancing sustainable bioproduction. Appointments will be initially made on a 1-year contract, with the possibility of extension. PhD holders with no experience are welcome to apply.

Ideal candidates will possess expertise in metabolic pathway engineering, microbial engineering and the development of cell factories for bioproduction. We particularly encourage applicants with a background in metabolic engineering, genome editing and bioprocess development for biochemical production. The successful candidate will assume a pivotal role in advancing the frontier of synthetic biology to address real-world challenges.

Join us in shaping the future of innovative biotechnology and making significant progress towards sustainability and technological advancement!

Main Responsibilities:
The Research Fellow is expected to: 
1) Develop biological parts, genetic circuits, or tools for engineering microorganisms; 
2) Metabolically engineer microorganisms with high bioproduction capabilities for industrial applications in the production of value-added biochemicals;
3) Write papers together with the PI for publication in high-impact journals;
4) Mentor research assistants, graduate, and undergraduate students; 
5) Assist in any other duties delegated by the Principal Investigator and group leaders. 

Remuneration will be commensurate to the candidate's qualifications and experience. Informal enquiries are welcome and should be made to Ms Suhana Sulaiman, at suhana_s@nus.edu.sg.

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

Qualifications

Job Requirements:
1) Hold a PhD in Biotechnology, Biological Sciences, Biochemistry, or related disciplines; 
2) Have extensive knowledge and hands-on experience on genetic parts assembly, pathway engineering, microbial strain engineering, fermentation, recovery and analytics of targeted metabolites; 
3) Have the ability to design and perform experiments for microbial strain engineering, gene expression, protein expression, enzymatic assays, microbial fermentation, and product recovery; 
4) Know how to work independently and in a team, have an investigative nature and a strong attention to detail;
5) Possess an established record of international publications

Project Overview

This project aims to develop a real-time blood analysis and diagnostic platform using an integrated microfluidic chip. This platform uses precision microfluidic technology to process and profile the biological activity of white blood cells which is related to a host of inflammatory conditions ranging from diabetes, sepsis to leukemia. The platform developed will enable point-of-care diagnosis of diseases and this project will accelerate the platform from bench to bedside through the development, deployment and testing of clinical samples.

This Engineering position offers a rare opportunity to bridge the gap between laboratory discovery of new technologies and real-world implementation of clinical deployment and testing. 

Responsibilities

The engineer is responsible for the design, prototype, manufacturing and testing of the medical device. This involves the use of with computer-aided design prototyping, setting specifications and assembly of mechnical/electrical components, testing and deployment of device for field testing.

Responsibilties include:

- To work closely with a team of clinical, mechanical/software engineers and data scientist for the medical device design and prototyping. Gather feedbacks on prototype designs by end-users.

- To Validate designs by analysing data gathered from component or system level testing. Use benchmarking techniques to characterise component and device performance.

- To ensure proper documentation of design history files and standardization of data storage for reports, presentations, technical and administrative documents.

- To source for vendors and components to ensure manufacturability and cost of medical device.

- To support the team for maintenance of equipment, inventory and purchases.

Requirements

- Bachelors/Masters in Mechanical, Electrical, Biomedical Engineering with at least 1 years of experience in hardware prototyping and/or microfluidic operations.

- Rapid prototyping experience in areas such as 3D printing, laser cutting, CNC, injection molding, microcontroller/microprocessor programming and relevant skills in embedded system.

- Prefered experience in commercial manufacturing, R&D project management and hardware testing/certification.

- Excellent debugging skills and strong ability to root cause, isolate and solve software/hardware system issues.

- Fluent in C++, Python (3.X) and relavent coding languages for software-hardware integration.

- A desire to deliver a quality and innovative medical diagnostic product that improves many people’s lives.

- Good communication and managing skills are important to work with colleagues efficiently in addition to creativity to solve problems and find improvements on products and processes already in place.

- Required experience and knowlegde to read or write scientific publications, patent search, schematics and data sheets for hardware components.

- Able and commited to work in Singapore. Willing to commute and meet regularly with vendors and collaborators at NUS, NUH, and partnering hospitals.

- Strong documentation and writing skills

- A desire to deliver a quality and innovative medical diagnostic product that improves many people’s lives.

Relevant Skills

2D/3D Computer Aided Designs, C++, Python, Operating CNC/3D printers, basic use of machine tools, electronics circuit design, Github 

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.

COMPANY DESCRIPTION

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together - building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities - all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

RESPONSIBILITIES

• This position is for School of Computing and Information Systems (SCIS).
• Data preparation, processing, analysis and annotation.
• Development of deep learning and AI-based methods.
• Report writing.
• Statistical analysis.
• Meeting arrangement.
• Presentation.
• Other duties assigned

• Minimum PhD degree in Computer Science, Information Technology, Information Systems or closely related disciplines with particular focus on deep learning and AI.
• Minimum 2 years of relevant research experience in deep learning and AL.
• Some knowledge in machine learning, data analysis and statistics.
• Programming in Python will be an advantage.
• Knowledge in large language model prompting.
• Experience with research works is preferred.
• Good analysis and problem-solving skills.
• Applicants with research publications in related areas will be advantageous.
• Self-motivated individual who can work independently and with team members.

#LI-JN2

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-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. 

The School of Chemistry, Chemical Engineering and Biotechnology (CCEB) at NTU Singapore, in collaboration with Wageningen University & Research (WUR), is part of Singapore Indoor Farming System (SingFarm)—a CREATE-NRF programme focused on building a sustainable, data-driven food production model with strong industry relevance to contribute Singapore’s ambition in achieving 20 per cent local production of its fiber (vegetables, mushrooms etc.) by 2035. The candidate would be working in a multinational team at the forefront of Singapore’s agricultural innovation and food security.

The successful candidate will work in Work Package 3.3: Urban Demo Lab. In this role, you help translate research results from across the program into demonstrators and settings for collaborative exploration that allow key stakeholders to engage with emerging food production technologies – and each other. The Urban Demo Lab serves as a platform where researchers, industry partners, and other stakeholders explore applications, provide critical design feedback and identify opportunities for further innovation: it serves as an attractor for future projects and strategic alliances that maximize the urban impact of ongoing research and development.

As an innovation facilitator, your work provides the active interface that is needed between research, technology translation, and stakeholder engagement. By stimulating dialogue and collaborative learning, you identify critical friction zones and promising ways forward, effectively accelerating the uptake of scientific innovations in real-world applications.

Key Responsibilities:

• Collaborate with research teams to identify key elements of research suitable for demonstration.

• Facilitate workshops, meetings, and stakeholder sessions to explore research outcomes, gather feedback, and identify innovation opportunities.

• Translate scientific insights into demonstrators, prototypes, or other formats such as an overall performance dashboard that communicate application potential to diverse audiences.

• Contribute to identifying and engaging potential partners or funders interested in further development of promising ideas.

Job Requirements:

• Completed PhD in a relevant field (e.g., food systems, food production, sustainability transitions or related fields).

• Systems thinker with an interest in innovation in food production and controlled environment agriculture

• Experience translating scientific research into practical applications, demonstrators or stakeholder-facing outputs.

• Excellent communication skills and ability to work across disciplinary and organizational boundaries.

• Experience facilitating interdisciplinary collaboration, workshops, or stakeholder engagement is an advantage.

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

We regret that only shortlisted candidates will be notified.

Job Description

•                    Ensures proper investigational product (IP)management which includes sourcing, receipt, storage, preparation, dispensing,labelling, inventory accountability, reconciliation, retention, destruction anddocumentation according to the study protocol

•                    Assists Clinical Research Technologists inmaintaining proper functioning of all pharmacy equipment.

•                    Reviews and provides feedback during protocoldevelopment where applicable

•                    Reviews and updates Pharmacy local standardoperation procedures as appropriate

•                    Provides coaching to Locum Pharmacists andPharmacy Technicians/Assistants as needed on IP management and asepticcompounding

Requirements

•                    Singapore Registered Pharmacist

•                    Previous Hospital Pharmacy Experience

•                    Experience in working in cleanroom ormanufacturing setting

•                    General GMP and GDP knowledge

Interested candidates please send in your resume to:

valerie@recruitexpress.com.sg

EA Personnel: Valerie Yong Kian Fung

CEI No.: R1103704

Recruit Express Pte Ltd, EA License No.: 99C4599

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

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28Multi-ion-%C2%B9%E2%81%B7%E2%81%B6Lu%E2%81%BA-Optical-Clocks%29/33452-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

Single-ion optical clocks are among the most precise instruments ever built — yet they are fundamentally limited by quantum projection noise. The next frontier is multi-ion operation: entangled and correlated ion crystals that deliver the stability of many atoms with the systematic control of a single trapped ion. Our group at CQT is pioneering this approach with ¹⁷⁶Lu⁺ , a species with uniquely low sensitivity to environmental perturbations. This postdoc offers the rare opportunity to work at the intersection of precision metrology, many-body quantum physics, and real-world timekeeping infrastructure.

Key Responsibilities

• Prepare and characterise multi-ion ¹⁷⁶Lu⁺ crystals in a linear Paul trap, developing robust protocols for ion loading and cooling.
• Implement and refine correlated clock interrogation schemes — Ramsey spectroscopy and spin-echo sequences — on ion ensembles to suppress noise below the standard quantum limit.
• Develop quantum state preparation and readout techniques optimised for multi-ion clock operation, including high-fidelity fluorescence detection of large crystals.
• Characterise and suppress collective systematic shifts in multi-ion configurations, contributing to a rigorous uncertainty budget for the ¹⁷⁶Lu⁺ clock transition.
• Explore entanglement-assisted sensing protocols and their practical implementation in a metrological context.
• Contribute to publications, conference presentations, and the broader activities of the CQT Lu+ clock programme.

Qualifications

• PhD in AMO physics, quantum optics, or a closely related field, completed or near completion.
• Hands-on experience with ion trapping, laser cooling, or precision spectroscopy in an experimental AMO setting.
• Familiarity with coherent control techniques: Ramsey spectroscopy, motional sideband manipulation, or quantum gate operations on trapped ions.
• Strong experimental instincts — ability to diagnose and solve complex technical problems independently.
• Experience with Python-based experiment control or real-time digital feedback systems is advantageous.
• A track record of research output commensurate with career stage.

Additional Information

What we offer:

• Competitive NUS postdoctoral salary.
• 2+1 years, renewable based on performance
• World-leading AMO group at the NUS campus.

To apply, please submit a CV, a brief cover letter (1 page) describing your relevant experience and motivation, and the names of two referees. Applications are considered on a rolling basis. 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-%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

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-%28Relative-smooth-optimization-theory%29/33458-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 PhD in 2026. He/she should have a good understanding in

1.    convergence and complexity analysis for (nonconvex) optimization algorithms 
2.    variational inequalities and duality theory
3.    stochastic process and martingale theory
4.    semi-algebraic and subanalytic geometry
5.    stochastic approximation methods
6.    dynamical systems

The applicant should also 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.

In addition, experience in GPU-based acceleration of large-scale algorithms will be an advantage. Familiarity with implementing or adapting first-order methods on GPU platforms, as well as handling large-scale matrix-vector computations efficiently, is preferred.

NOTE: This grant contains 2 research fellow positions, while each job posting will create 1 job. Thus, there will be 2 identical jobs posted. Please submit your applications to both of the posts. 

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

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow%2C-Security-%28School-of-Computing%29/33419-en_GB/?st=4BE945D60CCC38A4FBFF14E6E239368304BA2DD3

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.

The postdoctoral researcher will work on processor security and hardware testing. The role focuses on building new ways to find design bugs in processors before those processors are manufactured or deployed. This includes fuzzing, which means automatically generating many test programs to stress a processor design and expose incorrect behavior. The work will also study transient execution attacks, where a processor may briefly compute on secret data and leave traces that an attacker can observe.

The candidate will design new testing methods, build research prototypes, evaluate them on open processor designs, and publish the results in leading security and systems venues. The candidate will also help mentor PhD students, contribute to research planning, and support collaborations with academic and industry partners.

Qualifications

• The candidate should have a PhD in computer security, computer architecture, systems, or a closely related area.
• Strong experience with processor testing, hardware security, or fuzzing is expected.
• The candidate should be comfortable reading processor designs and working with simulation tools.
• Programming ability is important, especially for building research systems that can run at scale.
• The role also requires the ability to explain technical work clearly to people with different backgrounds. 
• The candidate should be able to turn a research idea into a working prototype, compare it fairly with prior methods, and write papers that make the contribution easy to understand.
• A strong record of top-tier publications is necessary.

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%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.

Are you passionate about laboratory operations and scientific processes? Join a dynamic healthcare and life sciences environment where you can contribute to accurate testing, sample processing, and meaningful laboratory activities.

Responsibilities:

• Perform laboratory tests and support pre- and post-analytical processes to ensure accurate and reliable results
• Prepare, label, handle, and process specimens and samples according to established procedures
• Operate and maintain laboratory equipment such as centrifuges, pipettes, pH meters, and other analytical instruments
• Record, document, and manage test results and laboratory data accurately
• Follow laboratory protocols, safety guidelines, and quality standards
• Maintain a clean, organised, and well-stocked laboratory workspace
• Support daily laboratory operations and administrative tasks where required
• Rotate across various laboratory departments, including Microbiology, Hematology, Blood Banking, Immunology, Clinical Chemistry, Molecular Biology, and Cytotechnology

Requirements:

• Minimum Diploma in Clinical Laboratory Technology, Biotechnology, Biomedical Science, or related disciplines
• Strong attention to detail with good numerical and data handling skills
• Good communication and interpersonal skills
• Proficient in Microsoft Office applications
• Able to work independently while following established procedure

Interested candidates are welcome to send your updated resume to healthcaretemps@recruitexpress.com.sg
(Attn: Lab Assistant)

Thank You.

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

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

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28Urban-Ecology-Biodiversity-Landscape-Maintenance%29/33431-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
•    Simulate and evaluate urban biodiversity
•    Conduct field surveys and model calibration
•    Quantify landscape maintenance regimes
•    Contribute to design guidelines and project coordination

Qualifications

•    PhD in Urban Ecology, Landscape Architecture, or related field
•    Experience in biodiversity surveys and ecological modelling
•    Strong analytical and visualization skills
•    Ability to integrate ecological insights into design strategies

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-%28On-Chip-Polarimeters%29/33369-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The team of Prof Loh Kian Ping is seeking a highly motivated Research Fellow to lead the development of a miniaturized, on-chip polarimeter based on chiral 2D Halide Organic-Inorganic Perovskites for full Stokes vector detection. The candidate will focus on optical simulation, cleanroom nanofabrication, device integration, optoelectronic testing, and machine learning-driven signal reconstruction. 

Note: This role focuses on device engineering and computation; independent material synthesis is not required. 

Key Responsibilities:
•    Design & Simulation: Model sub-wavelength polarization-selective metasurfaces using electromagnetic simulation tools (FDTD/FEM) to establish optoelectronic eigenvectors.
•    Nanofabrication: Fabricate multi-pixel sensor arrays and integrate pre-synthesized chiral 2D HOIP layers into metasurface architectures in a cleanroom environment.
•    Optoelectronic Characterization: Build and operate automated optical benches to test multi-pixel photocurrent responses under varied polarization states.
•    Data Analysis & ML: Develop Python/MATLAB machine learning algorithms to map photocurrents to full Stokes parameters, targeting a reconstruction error of \(<1\%\).

Required Qualifications:
•    Ph.D. in Electrical Engineering, Applied Physics, Materials Science, Optical Engineering, or a related field.
•    Strong background in nanophotonics, metasurfaces, and polarization optics (Stokes vectors).
•    Hands-on cleanroom fabrication experience (EBL, photolithography, thin-film deposition).

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/33375-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for the position of Research Assistant 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 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.

Our research will focus on the design and implementation of next-generation AI accelerators, including the development of new architecture designs (dataflow designs), reuse patterns, caching and the development of the infrastructure of the system needed to support the acceleration of AI platforms.

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

• Artificial Intelligence and Machine Learning
• Hardware Design, Circuits and Systems
• Algorithms
• Programming Languages & Software Engineering

Only shortlisted candidates will be notified.

Job Requirements

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

School of Civil and Environmental Engineering (CEE) is a leading school for sustainable built environment. The key objective is to support efforts to spearhead tertiary education, advance research innovations and provide professional services.

We are looking for a Research Fellow to work on an on-going project on risk analysis of subdaily rainfall events. The role will focus on rainfall network and statistical analysis, rainfall extreme evaluation, and climate change impact assessment.

Key Responsibilities:

• Carry out research works on rainfall analysis, network construction, and climate change impact assessment

• Publish journal papers

• Coordinate with other research staff or students in project discussions and deliverables
  

Job Requirements:

• PhD in Water Resources Engineering, Hydrology, or related fields

• A good academic publication record

• Familiar with a few key engineering software such as MATLAB, Python, R-language, and ArcGIS, etc.

• Good to have knowledge of network analysis, machine learning, neural networks, rainfall analysis, or multivariate statistical analysis skills

• Working experience is not required but some post-doc experience will be a plus
  

We regret to inform 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-%28On-Chip-Polarimeters%29/33370-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The team of Prof Loh Kian Ping is seeking a highly motivated Research Fellow to lead the development of a miniaturized, on-chip polarimeter based on chiral 2D Halide Organic-Inorganic Perovskites for full Stokes vector detection. The candidate will focus on optical simulation, cleanroom nanofabrication, device integration, optoelectronic testing, and machine learning-driven signal reconstruction. 

Note: This role focuses on device engineering and computation; independent material synthesis is not required. 

Key Responsibilities:
•    Design & Simulation: Model sub-wavelength polarization-selective metasurfaces using electromagnetic simulation tools (FDTD/FEM) to establish optoelectronic eigenvectors.
•    Nanofabrication: Fabricate multi-pixel sensor arrays and integrate pre-synthesized chiral 2D HOIP layers into metasurface architectures in a cleanroom environment.
•    Optoelectronic Characterization: Build and operate automated optical benches to test multi-pixel photocurrent responses under varied polarization states.
•    Data Analysis & ML: Develop Python/MATLAB machine learning algorithms to map photocurrents to full Stokes parameters, targeting a reconstruction error of \(<1\%\).

Required Qualifications:
•    Ph.D. in Electrical Engineering, Applied Physics, Materials Science, Optical Engineering, or a related field.
•    Strong background in nanophotonics, metasurfaces, and polarization optics (Stokes vectors).
•    Hands-on cleanroom fabrication experience (EBL, photolithography, thin-film deposition).

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/33376-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for the position of Research Assistant 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 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.

Our research will focus on the design and implementation of next-generation AI accelerators, including the development of new architecture designs (dataflow designs), reuse patterns, caching and the development of the infrastructure of the system needed to support the acceleration of AI platforms.

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

• Artificial Intelligence and Machine Learning
• Hardware Design, Circuits and Systems
• Algorithms
• Programming Languages & Software Engineering

Only shortlisted candidates will be notified.

Job Requirements

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

• To take off and prepare Bills of Quantities (BOQ)
• To assess and identify Variation Order (VO) work for all subcontract packages
• To provide support for measurement and pricing on contract's VO claim
• To process monthly progress claim and final claim according to SOP requirements
• To attend all relevant contracts administration & documentation for the project
• To take off measurement - remeasurement for sub-contract's payment and final account purposes
• To work out cost estimation or budgetary cost
• To liaise with Consultants / Main Contractors on VO and progress claims
• To liaise with Suppliers for quotations
• To maintain relevant documentation in orderly and proper manner
• A minimum of 10 years hands-on experience (preferably with consultancy practice)
• PSPC-Recognised Degree for Quantity Surveying (QS) Discipline
• Applicant with Professional Qualification with SISV, AIQS, RICS will be an advantage
• Proficient in MS Excel, Word, Outlook, Cost & Measurement software
• Analytical, resourceful, independent, responsible and able to work in a challenging and fast paced environment
• Good interpersonal, communication and negotiation skills
• Good team player yet able to work independent with minimum supervision and provide guidance to junior staff
• Prior experience in a consultancy firm will be an added advantage

For further enquiries or submission, you may reach out to Luna (HR Executive) at luna.cheok@sg.rlb.com

At Shangri-La Singapore we are a heart-warming family. We share something powerful – our genuine care and respect for others. Our strength lies beyond our harmonious surroundings and hideaway locations. It lies in our core values that guide us to treat each and everyone with honour, as kin, as family. We strive to be the preferred employer by providing great benefits, tranquil and sincere working environment, work-life balance and effort recognitions.

Set in 15 acres of lush greenery just minutes from the vibrant Orchard Road shopping belt, the Shangri-La Hotel, Singapore is a tranquil, sophisticated urban retreat whether travelling for business or leisure. It features 792 luxurious guestrooms and suites across three distinct wings, which include unique family-themed rooms, supported by a host of dedicated family-focused amenities.We are looking for F&B Reservations Executive to join our team!

Job Responsibilities

• To be familiar with Shangri-La Hotels and Resorts’ policies and procedures and be well-versed with the facilities and services offered by the hotel. To “master” the product in terms of rates, layout and physical attributes, breakdown / configuration, benefits and amenities etc. 
• Managing all reservations handling and process; proficient in operating the various reservations systems and equipment. To provide prompt, courteous and efficient service at all times. To answer the phone within three rings. 
• To upsell whenever possible to maximize occupancy and revenues ensure that all reservations are entered accurately and “mesh” update maintained consistently and to be aware of book-out status and need periods to maximize sales opportunities.
• To alert the Reservations Manager of sudden changes in occupancy levels and advise the Reservations Manager of any deviations in rate applications or reservations arrangements.   
• Handle incoming reservations requests / correspondence, confirming or regretting on the day received and manage the hotel’s credit policies to effectively handle and process billing requirements. 
• Carries out other special projects/tasks assigned by supervisors  

Job Requirements

• Minimum O Levels with at least 2 year of relevant working experience  
• Strong customer service mindset with the ability to handle enquiries professionally and courteously.
• Good phone etiquette and confident in managing high call volumes and emails 
• Proficent in MS Words, Excel and PowerPoint

About the Role

Join our team as an Event Marketing Associate and gain experience supporting marketing campaigns through events, roadshows, and promotional activities. This position is ideal for individuals who enjoy working in dynamic environments and engaging with customers.

What You’ll Be Doing

• Support the execution of marketing campaigns at events and promotional activities
• Interact with customers and communicate campaign messages
• Assist in creating positive customer experiences
• Work with team members to ensure smooth campaign operations
• Participate in training and ongoing development programmes

What’s In It For You

• Structured mentorship and coaching
• Exposure to event and campaign execution
• Opportunities to build communication and organisational skills
• Supportive team culture
• Flexible work arrangements
• Performance-based incentives (details shared during interview)

Who We Are Looking For

• Energetic and enthusiastic individuals
• Strong communication skills or willingness to learn
• Adaptable and team-oriented mindset
• Comfortable engaging with customers
• No prior experience required; training provided

Shortlisted candidates will be contacted within 24 hours.