Total 163 Senior Executive science rd research job vacancies in Hong Kong

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

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

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

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

Requirements

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

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

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

o Spatial analysis / Geospatial information system (GIS)

o Transportation and urban systems

o Agent-based modelling / network analysis

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

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

• Good written and verbal communication skills

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

About the Job

The Singapore University of Technology and Design (SUTD) is seeking a highly motivated and skilled Research Assistant to support a research project focused on leveraging multimodal Large Language Models (LLMs) to enhance user intention understanding and decision-making process, particularly in the area of recommender systems. The successful candidate will work closely with faculty and researchers to design, implement, and evaluate novel methods that integrate LLMs for more intelligent user understanding and decision-making systems. This position offers a unique opportunity to contribute to cutting-edge AI research with real-world impact.

What You'll Do

• Conduct research on applying LLMs to improve the user intent understanding and decision-making process.
• Develop and implement experimental prototypes and evaluate model performance.
• Conduct literature reviews and contribute to the writing of research papers and reports.
• Collaborate with team members and participate in regular research discussions.

Who We're Looking For

• A Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
• Proven research experience, particularly in user modeling, personalization and decision-making process and recommender systems.
• Strong programming skills (e.g., Python, PyTorch, TensorFlow).
• Excellent written English communication skills.
• Self-motivated, independent, and passionate about research.
• Familiarity with prompt engineering, fine-tuning LLMs, or knowledge distillation is a plus.
• Experience with publishing in academic conferences or journals is a plus.

Key Responsibilities

• Develop data-driven energy disaggregation models to estimate machine-, process-, and batch-level energy consumption from aggregated or limited metering data.
• Design and implement energy monitoring, analytics and benchmarking algorithms for energy performance tracking, anomaly detection, and causal analytics related to energy-saving of industrial equipment and manufacturing processes.
• Conduct experiments, model validation, and performance evaluation using industrial datasets.
• Work closely with project partners, engineers, and researchers to translate research outcomes into deployable industrial solutions.

Requirements

• Bachelor’s or Master’s degree in Electrical Engineering, Mechanical Engineering, Computer Science, Data Science, Industrial Engineering, or a related field.
• Strong programming skills in Python, with experience in data analytics, machine learning, and time-series processing.
• Knowledge of energy systems, power consumption analysis, industrial equipment, or manufacturing processes.
• Experience with machine learning techniques for regression, classification, anomaly detection, forecasting, or signal disaggregation.
• Ability to process and analyze large-scale time-series datasets.
• Good problem-solving skills and ability to work independently in applied research and development projects.
• Good written and verbal communication skills.

Preferred Qualifications

• Experience in non-intrusive load monitoring, energy disaggregation, virtual sensing, or industrial energy analytics.
• Experience with deep learning frameworks such as PyTorch or TensorFlow.
• Experience with causal analytics.
• Knowledge of manufacturing systems, additive manufacturing, CNC, heat treatment, pumps, compressors, motors, or other industrial equipment.
• Prior experience in applied R&D projects with industry partners is an advantage.

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.

You will be part of the research team under the Heart Protection theme at the National Heart Research Institute of Singapore (NHRIS), National Heart Centre of Singapore (NHCS), dedicated to developing innovative strategies to prevent and treat heart injury. Our multidisciplinary group integrates cardiovascular biology, nanotechnology, drug delivery, disease modelling, and translational science, collaborating closely with clinicians, engineers, and scientists across NHCS and Duke–NUS to accelerate the development of therapies from bench to bedside. Our team culture values rigour, teamwork, innovation, and translational impact, offering a dynamic environment for scientific growth.

You will support ongoing research projects in therapeutic development and contribute to a range of molecular experiments and formulation work, including RNA synthesis, modification, and purification, as well as the preparation and optimisation oflipid nanoparticles (LNPs) and other delivery formulations. You will also conduct in vitro assays encompassing cell culture, molecular analysis, and characterisation, alongside in vivo validation work.

Beyond experimental responsibilities, you will maintain accurate laboratory records and ensure proper documentation throughout. You will support general lab operations — including reagent preparation, equipment maintenance, and purchasing — while working collaboratively as part of a multidisciplinary team.

Jobrequirements:

• Bachelor’s degree in chemistry/ Materials Science, Molecular Biology, Biomedical Science, or related fields

• At least 2 years’ experience either in RNA therapeutics/ RNA synthesis/ RNA biology, or in Chemical synthesis/ LNP delivery

• Strong hands-on laboratory skills and experimental troubleshooting ability

• Good communication and organisational skills

• Documented proof of:

(i) Measles (or MMR - Mumps, Measles and Rubella) vaccination or serological evidence of measles immunity; and

(ii) Tdap (Tetanus, Diphtheria and Pertussis) vaccination received within the last 10 years, as required for all healthcare workers under the Healthcare Services Act. Applicants without these vaccinations may apply if they commit to completing the required vaccination(s) before work commencement, upon successful job offer.

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

About the Role

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

Responsibilities:

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

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

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

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

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

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

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

  Requirements:

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

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

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

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

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

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

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

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

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

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

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

Job Description

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

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

Job Requirements

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

We regret that only shortlisted candidates will be notified.

A Senior Research Fellow position as an expert in structural biology is available at the School of Biological Sciences, Nanyang Technological University (NTU). The candidate should have technical experience and knowledge in the areas of mycobacterial enzymes, setting up of cryo-EM and cryo-ET experiments, their data analysis and structure determination. The candidate will provide leadership, communication skills and mentoring to students working in the team.

For more details, please view https://www.ntu.edu.sg/sbs.

We are seeking a highly experienced senior scientist with expertise in structural biology, particularly in protein chemistry and cryo-EM. The successful candidate will play a key role in driving research on mycobacterial enzymes and multi-subunit membrane-embedded complexes, contributing both technical expertise and leadership to the team.

Key Responsibilities:

• Lead and conduct research on the 3D structure determination of mycobacterial enzymes and large protein complexes.

• Set up and perform cryo-EM and cryo-ET experiments, including data collection, processing, and structural analysis.

• Provide mentorship to students and junior researchers in the lab.

• Communicate research findings effectively and contribute to collaborative projects.

Job Requirements:

• PhD in structural biology, biochemistry, or a related field with at least of years of relevant experience.

• Extensive technical experience in protein chemistry, protein engineering, and 3D structure determination of large/multi-subunit membrane enzyme complexes.

• Proven expertise in cryo-EM experiment design, execution, and data interpretation.

• Strong communication and leadership skills, with a track record of mentoring students or junior scientists.

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

We regret that only shortlisted candidates will be notified.

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

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.

PURPOSE OF THE ROLE

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

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

•        Maintaining and refining costing models

•        Overseeing contracting activities

•        Supporting capacity and resource planning

•        Conducting data analysis to enhance projectperformance

REQUIREDQUALIFICATIONS AND EXPERIENCE

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

•        Prior experience in early-phase clinicalresearch is preferred

Interested candidates please send in your resume to:

nurse@recruitexpress.com.sg

Anthea Lim

Outsourcing Team

Company Reg. No. 199601303W

EA Licence No. 99C4599

Join the Hyundai-NTU-A*STAR Corporate Lab and contribute to cutting-edge R&D in AI, Robotics, 3D Printing, and Digital Twins for advanced automotive manufacturing. This role focuses on developing an optical surface profiling system for car body inspection, with emphasis on structured light imaging and defect detection.

Key Responsibilities:

• Develop and implement image acquisition and structured light profiling systems

• Perform data analysis to detect and quantify surface defects (e.g. width, depth)

• Evaluate and validate the performance of inspection and detection methods

• Prepare technical reports, documentation, and presentations on project progress

• Support and mentor student research projects where applicable

Requirements:

• PhD in a relevant field such as Engineering, Computer Science, or related discipline

• Experience or knowledge in imaging systems, computer vision, or related technical areas

• Strong analytical, problem-solving, and communication skills

• Ability to work independently as well as in a multidisciplinary team

• Good organisational skills and ability to manage timelines effectively

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

AboutUs:           

The Program inTranslational and Clinical Liver Cancer Research is a dynamic enterprise withinthe National Cancer Centre Singapore (NCCS) that conducts cutting-edge clinicaland translational research in primary liver cancer (hepatocellular carcinoma(HCC)). Nested within the program is the Secretariat of the Asia-PacificHepatocellular Carcinoma (AHCC) Trials Group. The AHCC Trials Group is acollaborative multi-national research network that spans the Asia Pacific andactively engages in a spectrum of prospective clinical and translation researchstudies that address unmet clinical needs of HCC.

Job Description:

The job is that of asenior research executive/assistant manager/manager managing projects within amature research program in HCC. This role is ideal for a motivated individualwho enjoys thinking and managing projects independently, but also as a teamplayer.

You will be part ofan active research enterprise management team that closely works with otherteams in clinical research coordination, wet laboratory research andbioinformatics. The Program encompasses a wide range of of biomedical researchfrom upstream and translational studies to prospective multi-site clinicalstudies. There will be opportunities to develop a deep understanding of thebiomedical ecosystem, and to work with key scientific opinion leaders, andpharmaceutical and biotech industry partners both locally and overseas. Youwill play a key role in the coordination, execution, and management of complexmulti-site research programs, while developing a strong network of academic,clinical, and industry contacts.

There will also beample opportunities for learning and publication.

Your ResponsibilitiesWill Include:

• Coordinating andengaging various internal and external stakeholders in the management ofmulti-institution and/or multi-national collaborations.
• Initiating andsupporting research activities including (but not limited to) research grantapplications, SOP development, and project budgeting.
• Provision ofnecessary resources that ensure compliance of regulatory/contractual documentsand smooth project operations.
• Organizing andpreparing materials for regular update meetings with collaborators.
• Providing a broadrange of high-level administrative support in planning, organizing and managingresearch-related events (meetings, conferences, seminars), as well as draftingand costing of new proposals.

Job Requirements:

• Bachelor’s degreein Life Sciences, Biomedical Sciences, Public Health, Business, or equivalent;An honours degree or Master’s degree will be an advantage.
• Prior workexperience in biomedical research, clinical trials and/or project management inhealthcare, CRO or pharmaceutical organizations will be an advantage but is nota requirement
• Prior exposure toSingapore’s research and grant landscape will be an advantage.
• Excellentcommunication and writing skills.
• Proactiveindividual who has effective interpersonal skills and is able to workcollaboratively in a team environment.
• Strong organizationand attention to details.
• Ability to multi-task, and possess good time management.
• High proficiency inMS Office (Word, Excel, PowerPoint)

We are seeking an innovative and technically skilled researcher to join our team, specializing in adaptive machining. is a key technology for generative and regenerative applications at the heart of ARTC’s remanufacturing and manufacturing research. We are looking for people with the passion and drive to join us as part of the Remanufacturing Process Technology (RPT) Group. The scope of the role will be to work on research in advancing machining technologies by integrating adaptive techniques, leveraging knowledge in CNC machining, CAD/CAM programming, software development, and basic Artificial Intelligence (AI) concepts. This role provides an exciting opportunity to contribute to cutting-edge research aimed at improving efficiency, precision, and sustainability in machining processes.

Responsibilities:

• Perform research, conduct experimental work and analysis in a project-based environment
• Lead / Support the technical execution and delivery of projects, including project scoping activities and industrial customer engagement as well as capability development in line with the technical roadmap of the Group and Division, fostering collaboration with other teams / groups / research entities as needed
• Conduct research on adaptive machining techniques, including automated decision-making systems, dynamic process adjustments, toolpath optimization, scanning and data gathering technologies, and machine to machine communication.
• Algorithm Development: Design, develop, and implement algorithms for 3D data analysis for feature recognition and machining strategy selection for automatic tool path generation, and adaptive machining. Collaborate with cross-functional teams to integrate these algorithms into existing machining systems.
• Data Analysis: Analyse large datasets generated from machining operations to identify patterns, anomalies, and optimization opportunities. Develop predictive models to optimize machining parameters and improve overall efficiency.
• Documentation and Reporting: Prepare technical reports, documentation, and presentations to communicate research findings, project progress, and recommendations to stakeholders. Publish research papers in relevant journals and present findings at conferences and seminars.
• Technical Innovation Culture: Mentor and coach interns, fostering a culture of technical innovation and excellence.
• Any other ad-hoc work for the team, Group, Organisation and A*STAR with possible secondary roles

Job Requirements:

• At least a Bachelor’s Degree in in Mechanical Engineering, Manufacturing Engineering, Computer Science, or a related field.
• Prior experience of CNC machining, familiarity with machining processes and equipment, knowledge of machine communication (OPC-UA, TCP/IP) is advantageous.
• Proficiency in CAD/CAM/CAE software, preferably in Siemens NX / Solidworks / PowerMill
• Proficiency and/or knowledge in programming languages such as Python, VB.Net, C#, C++, MatLab, etc.
• Preferably with experience working in an industry-driven R&D environment
• Fluency in English with good written, spoken and comprehension skills
• Ability to communicate, interact and work professionally in a collaborative environment as a team player
• Ability to work in a dynamic fast-paced environment in an agile manner to adapt to fast-changing requirements of internal and external stakeholders
• Ability to think critically and is problem-solving oriented
• Ability to work effectively and independently
• Ability to demonstrate high level of initiative to learn and adapt new technologies to stay relevant

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.

ABOUT THE NATIONAL INSTITUTE OF EDUCATION (NIE)

The National Institute of Education (NIE), Singapore, is Singapore’s national teacher education institute, and we are proud to be an integral part of the nation’s education service. We play a key role in the preparation of teachers and in the provision of teacher professional and school leadership development programmes. We are committed to our vision of being An Institute of Distinction: Leading the Future of Education, and our mission to Inspire Learning, Transform Teaching and Advance Research.

NIE invites suitable applications for the position of Senior Executive / Executive, Research Support and Grants Management with the Office for Research (OfR). The Research Support and Grants Management Unit manages pre and post award administration of internal and external research grants, enabling NIE faculty to secure research funding and administer grants effectively in compliance with funding and institutional requirements.  The unit also oversees all Research Support functions in capacity building faculty staff.

Responsibilities

• Support the NIE faculty in the administration of both internally-funded and externally-funded research grants at the pre and post-award stages.
• Facilitate research grant administration processes, including grant applications, completeness checks, grant awards, grant variations, progress reports, final reports, and grant closure processes.
• Coordinate research grant administration policies, guidelines as well as terms and conditions in accordance with funding agencies’ and Institute’s regulations, including compliance requirements.
• Provide consultation to research teams on grants processes, budgeting, and guidelines as and when required.
• Collaborate with team members in research support initiatives/events that are organised by the Research Support and Grants Management (RSGM) unit.
• Design/create grant-related infographics, posters, and/or collaterals for stakeholder communication and events where required.
• Maintain the RSGM unit’s documents, webpages, databases, records, and SOPs so that they are updated in a timely manner.
• Facilitate appointment/reappointment and contract renewals for research staff who will be hired via NIE faculty’s research grants.
• Liaison officer with internal and external stakeholders, including auditors if necessary.
• Organise and provide secretarial and logistical support for NIE internal research grants’ review panel meetings, including recording of minutes.
• Support the Associate/Assistant Deans in RSGM matters as and when needed.
• Any other duties as assigned by the reporting officer.

Requirements

• A Polytechnic diploma.

• Preferably with 2 to 3 years of relevant experience in research development, grant management, or a related role in a university or research setting.

• Able to learn fast, multi-task, prioritise, and work within tight timelines.

• Possess good writing, communication, and interpersonal skills to work with faculty and staff across various departments.

• Strong team player.

• Strong numerical skills with an eye for detail with the ability to review and improve research proposals when necessary.

• Strong planning and organisational skills.

• Demonstrate excellent knowledge of MS Office applications and willingness to learn or use new IT software, AI tools and applications as and when required.

• Able to monitor compliance in policies and uphold governance of policies.

• Experience in event management will be an added advantage.

• Experience in traditional and digital marketing (e.g., designing infographics, website/social media) will be an added advantage.
  

Application

We regret that only shortlisted candidates will be notified.

Other Information

NIE staff can take chartered buses at their own expense from or near their homes to the NIE campus. This is subject to availability of seats.

Senior Research Nurse

• Office Location: Buona Vista, Singapore
• Working Hours: Morning/Noon Shift (45 hours per week)
• Monthly Salary: Hourly Rate + Completion Bonus
• Employment Type: Full time, Permanent Contract

Company Overview

The company is a specialized clinical research unit based in Singapore, focusing on early‑phase human trials and innovative health technologies. It integrates biomedical expertise with modern digital tools to advance drug development and support global healthcare progress.

Responsibility

• Clinical Care & Excellence – Deliver professional care and management of clinical trial participants, ensuring privacy and confidentiality at all times.
• Data & Equipment Handling – Collect, verify, and store trial data accurately; operate biomedical equipment proficiently within the CRU.
• Safety & Emergency Preparedness – Apply biohazard safety precautions and participate actively in Code‑blue drills, leading during real emergencies.
• Screening & Trial Execution – Perform general screening activities and protocol‑related tasks under the guidance of the Study Nurse‑in‑Charge.
• Collaboration & Coordination – Work closely with pharmacists, technologists, and support staff to ensure smooth execution of trial activities and auxiliary services.
• Compliance & Documentation – Adhere to SOPs, GCP, and regulatory requirements; maintain accurate records and demonstrate commitment to training and policy compliance.

Requirement

• Registered with Singapore Nursing Board.
• Minimum 2 years of nursing experience in direct in patient nursing.
• Candidate who can start immediately or within short notice will be preferred

We regret to inform you that only shortlisted applicants will be notified.

Recruit Lync Pte Ltd | EA License Number: 22C1000

Chen Hoe Nam | EA Personnel License: R25158678