Total 2,483 Science / R&D / Research job vacancies

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

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Engineer-%28Gen-AI%29/32622-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are looking for a Research Engineer for the OUTSMART Corp Lab led by Professor Massimo Alioto, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The selected candidate is expected to:

•    circuit exploration of near-PCM and in-memory SRAM computing macros, and related models  
•    experimental validation of computing and memory macros and their support of similarity/confidence-based computation skipping, and dataflow adaptation 
•    experimental validation of test structures with dataflow adaptation in single chip, high memory-logic interspersion
•    experimental validation of chiplet interfaces and synchronization, test structures with final memory-logic aggregation, and dataflow adaptation across chiplets 
•    experimental validation of final testchip in single- and many-chiplet arrangement
•    experimental validation of final testchip in single-chiplet arrangement 

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

Qualifications

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

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

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28Gen-AI%29/32612-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are looking for a Research Fellow for the OUTSMART Corp Lab led by Professor Massimo Alioto, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The selected candidate is expected to:

•    circuit exploration of near-PCM and in-memory SRAM computing macros, and related models  
•    experimental validation of computing and memory macros and their support of similarity/confidence-based computation skipping, and dataflow adaptation 
•    experimental validation of test structures with dataflow adaptation in single chip, high memory-logic interspersion
•    experimental validation of chiplet interfaces and synchronization, test structures with final memory-logic aggregation, and dataflow adaptation across chiplets 
•    experimental validation of final testchip in single- and many-chiplet arrangement
•    experimental validation of final testchip in single-chiplet arrangement 
•    authoring high-quality research papers for leading conferences and journals and presenting findings at international conferences.
•    managing technical milestones for the project and providing technical guidance to PhD and master’s students within the group.

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

Qualifications

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

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

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28Gen-AI%29/32613-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are looking for a Research Fellow for the OUTSMART Corp Lab led by Professor Massimo Alioto, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The selected candidate is expected to:

•    circuit exploration of near-PCM and in-memory SRAM computing macros, and related models  
•    experimental validation of computing and memory macros and their support of similarity/confidence-based computation skipping, and dataflow adaptation 
•    experimental validation of test structures with dataflow adaptation in single chip, high memory-logic interspersion
•    experimental validation of chiplet interfaces and synchronization, test structures with final memory-logic aggregation, and dataflow adaptation across chiplets 
•    experimental validation of final testchip in single- and many-chiplet arrangement
•    experimental validation of final testchip in single-chiplet arrangement 
•    authoring high-quality research papers for leading conferences and journals and presenting findings at international conferences.
•    managing technical milestones for the project and providing technical guidance to PhD and master’s students within the group.

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

Qualifications

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

Key Responsibilities:

• Provide first-level technical support via phone, email, or ticketing system.
• Troubleshoot and resolve hardware, software, and network issues for end-users.
• Manage user accounts, access permissions, and password resets.
• Handle service requests and incidents in accordance with ITIL best practices.
• Maintain accurate records in the IT service management system.
• Configure and deploy end-user devices including desktops, laptops, and mobile devices.
• Support Microsoft 365, Windows OS, and other enterprise applications.
• Collaborate with other IT teams to escalate and resolve complex issues.
• Ensure compliance with IT security policies and procedures.
• Participate in IT projects and service improvement initiatives.
• Provide basic training and guidance to users on IT systems and tools.

Required Skills & Experience:

• Minimum 1-3 years of experience in IT support or service desk roles.
• Strong knowledge of Windows OS, Microsoft 365, and basic networking.
• Experience with ITSM tools and ticketing systems, Remedy or ServiceNow
• Familiarity with Active Directory, Intune, and Azure (preferred).
• Excellent troubleshooting and diagnostic skills.
• Strong communication and customer service skills.
• Ability to work independently and manage multiple tasks.
• Able to work under pressure, make effective decisions and adapt to challenging situations.
• • Have VIP Support experience will be advantageous.

About the Role:

An exciting opportunity has arisen to join our Cloud Infrastructure Platform and Solutions (CIPS) Research Team. Our CIPS Research team is focussed on developing future technology systems to support growth in the rapidly evolving data center industry. The successful candidate will be directly involved in early-stage research projects, working with academic institutions, suppliers, customers, and partners to deliver proof of concept designs.

Key Responsibilities:

• Monitor market trends and research to identify breakthrough opportunities in power converter topologies and control schemes for data centers.
• Drive technical excellence across design, modelling, simulation, prototyping and performance testing of new power conversion topologies, control schemes and components.
• Oversee critical design reviews and own technical project direction.
• Represent the company as a subject matter expert when engaging with suppliers, customers, and partners.
• Help to create, review and improve research project processes, from idea creation to project transfer deliverables.
• Identify the skills needed in the team and support recruitment of suitable engineers.
• Work with a commitment to continuous improvement, transparency, and technical expertise.
• Work as a hands-on individual contributor, researching key topics and delivering ideas, designs, and documentation.

Requirements:

• PhD or Master’s degree in Electrical / Electronic / Control Engineering or related field.
• 5+ years’ experience with control theory, digital control and signal processing.
• Strong understanding of common power electronic architectures (DC/AC, DC/DC, etc) and control methods.
• Expertise of MATLAB/Simulink, embedded software (C/C++), architecture design and software version control.
• Solid understanding of microcontroller architectures, sensors, and communication protocols.
• Hands-on prototyping and testing experience using oscilloscopes, electronic loads and power analysers.
• Expertise in using simulation tools to aid the development and assessment of the proposed solution (MATLAB, Simulink, Python, LTspice, etc).
• Strong analytical, problem-solving, leadership and communication skills.
• Demonstrated passion for innovation and commitment to continuous learning.

Why Join Us

Work in a world-class R&D environment with well-equipped labs, top-tier industry connections and collaborative teams. Shape the future of energy-efficient data storage and AI cloud computing – from renewable energy integration to next-generation infrastructure. Opportunities to publish, patent and innovate designs for future products. Competitive compensation, research autonomy and a continuous learning culture.

New Product Development

• Proceeds development according to implement plan
• Makes functional specification
• Proceeds electrical, or firmware design
• Plans and proceeds prototype model evaluation and prepare evaluation to reports.

Re-design of Products

• Supports Lead Engineer to estimate return and investment.
• Proceed re-design according to implementation plan.
• Proceeds electrical, mechanical or firmware design.
• Plans and proceeds prototype model evaluation and prepare evaluation report.
• Makes up product manufacturing standard.

Technical Support

• Prepares technical information for parts localize and price negotiation.
• Supports production line if necessary according to superior’s direction.
• Supports parts faculty/investigation according to superior’s direction.

Requirements:

• Bachelor of Mechanical Engineering
• Experience in analog or digital electrical hardware design.
  Prefer 2-3 years of relevant experience.

Electronics Manufacturing Industry

East/Bedok

5 days work week

Interested Applicants, kindly email your detailed resume via email to hr@tempserv.com.sg

Tempserv Pte Ltd

License No: 06C3745

Tel: 62226441

Attention: Audris Teo / EA Personnel No: R1102063

Job Description

The R&D Electrical Engineer will play a key role in the development of cutting-edge machine tool products and technologies for CNC Milling, including peripheral equipment and automation.

Key Responsibilities

• Proactively develop and validate new, unique electrical engineering designs.

• Contribute to enhancing the electrical design of various products.

• Assist in electrical designs under the guidance of R&D Senior Engineers.

• Study electrical customization requirements and propose effective solutions.

• Prepare accurate engineering documents such as electrical/circuit drawings, Bill of Material, Engineering Change Order, and engineering reports.

• Work towards achieving R&D development goals that align with business needs.

• Provide engineering support and innovative solutions to relevant departments (manufacturing, customer service, sales, application, etc).

• Contribute actively to improving technical core competency through continuous learning and creative problem-solving.

Requirements

• Master’s or Bachelor’s degree in Electrical and/or Electronics Engineering.

• Solid knowledge of electrical design principles.

• Familiarity with software tools such as EPLAN, Solidworks, E3, and AutoCAD.

• Minimum of 2–5 years of relevant industrial experience in electrical circuit design and control circuit design.

• Basic understanding of PLC programming.

• Attention to detail and time consciousness in your work.

• Strong team player, quick learner, and possess strong communication skills to collaborate seamlessly with cross-functional teams.

The Earth Observatory of Singapore (EOS) is a University Research Institute at Nanyang Technological University Singapore that conducts fundamental research on earthquakes, volcanic eruptions, tsunamis, and climate change in and around Southeast Asia, towards safer and more sustainable societies.

For more details, please view https://earthobservatory.sg/

We are looking for a Research Assistant to support interdisciplinary research on Singapore’s coastal ecosystems. The role focuses on field, laboratory, and analytical work to evaluate the capacity of mangrove and coral reef systems to provide sustained protection under climate stress, including sea-level rise and marine heatwaves.

Key Responsibilities:

• Conduct fieldwork in mangrove and coral reef environments, including sediment core collection and ecological surveys

• Perform sedimentological, palaeoecological (pollen), and geochemical analyses (e.g., TOC, carbonate)

• Deploy and maintain environmental sensors (e.g., temperature loggers) and analyse associated datasets

• Apply microscopy and GIS-based spatial analysis for habitat mapping and data interpretation

• Support data analysis, scientific reporting, and manuscript preparation

• Assist with project logistics, procurement, and coordination of field and lab activities

Job Requirements:

• Bachelor’s degree in Environmental Science, Geoscience, Marine Science, or related field

• Experience in field and laboratory work in coastal or marine environments

• Familiarity with sediment analysis, palaeoecology, or geochemical techniques preferred

• Proficiency in GIS and/or data analysis tools (e.g., R, Python)

• Strong organisational, communication, and teamwork skills; ability to work in challenging field conditions

EOS 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, family responsibilities, or disability.

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

Basic + AWS + VB

Tuas Area, company transport provided

Responsibilities:

• Develop, evaluate, and optimize treatment and handling processes for existing, new, and unknown waste streams, ensuring technical feasibility and cost-effectiveness.

• Design and implement resource recovery processes from waste streams to enhance sustainability and value creation.

• Work closely with Sales, Marketing, and Operations teams to understand waste sources, identify treatment and recovery opportunities, support commercialization, and execute pilot trials.

• Identify, assess, and implement new technologies and processes, including collaboration with external partners (universities, research institutes, and technology providers).

• Establish and continuously improve laboratory capabilities, including process development and analytical methods to support R&D activities.

• Drive continuous improvement of existing operations through process optimization and introduction of alternative treatment methods.

• Ensure compliance with internal procedures, documentation standards, and all safety, health, and environmental requirements; maintain proper laboratory housekeeping.

• Support evaluation and development of handling procedures for high-risk and high-value waste streams.

• Contribute to new business development, including identifying opportunities, supporting new projects, and participating in facility planning and operations.

• Stay updated on industry trends and emerging technologies and proactively introduce relevant innovations into the company.

Requirements:

• Ph.D in Chemistry or Chemical Engineering with more than 5 years of experience in the area of specialty chemical manufacturing/applications, oil & gas or water treatment industry

• Result-oriented, able to achieve targets through individual hardwork and team work

• Good analytical abilities and communication skills
  

HOW TO APPLY:

Interested applicants, please click on “Apply Now” or email ref44@trustrecruit.com.sg

We regret only shortlisted candidates will be notified.

Important Note: Trust Recruit Pte Ltd is committed to safeguarding your personal data in accordance with the Personal Data Protection Act (PDPA).

Please read our privacy statement on our corporate website www.trustrecruit.com.sg.

Trust Recruit Pte Ltd

EA License No: 19C9950

EA Personnel: Lim Wei Jye (Jaylyn)

EA Personnel Reg No: R24121213

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-%28Chemical-Imaging-and-nanocatalysis%29/32625-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are looking for passionate and self-motivated postdoctoral research fellows to join our multidisciplinary team to work on the rational design of novel nanocatalysts and optical imaging for catalysis. The successful candidate will be expected to collaborate with a group of researchers from various disciplines and also assist the principal investigator in guiding junior researchers and graduate students as well as in managing project and laboratory. (https://cde.nus.edu.sg/mse/staff/ming-zhao/;  https://www.mingzhaogroup.com/)  

Qualifications

•    PhD degree in materials, chemistry, chemical engineering, physics, environmental engineering, or any other related fields.
•    Expertise in optical imaging and nanocatalysis
•    Published in reputable international journals. 
•    Responsible and able to work independently. 
•    Good written and spoken communication. 
•    Good team player across multiple disciplines. 
•    < 5 years work experience after obtaining a PhD degree

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

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Engineer-%28Gen-AI%29/32619-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are looking for a Research Engineer for the OUTSMART Corp Lab led by Professor Massimo Alioto, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The selected candidate is expected to:

•    circuit exploration of near-PCM and in-memory SRAM computing macros, and related models  
•    experimental validation of computing and memory macros and their support of similarity/confidence-based computation skipping, and dataflow adaptation 
•    experimental validation of test structures with dataflow adaptation in single chip, high memory-logic interspersion
•    experimental validation of chiplet interfaces and synchronization, test structures with final memory-logic aggregation, and dataflow adaptation across chiplets 
•    experimental validation of final testchip in single- and many-chiplet arrangement
•    experimental validation of final testchip in single-chiplet arrangement 

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

Qualifications

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

About the role

The R&D Raw Materials Specialist is responsible for the creation, revision and approval of raw material specifications used in Mead Johnson Nutrition (MJN) sites.

As R&D Raw Materials Specialist you will be ensuring application of internal and external requirements in our Raw Material Specifications and will work in close collaboration with key functional content contributors. 

You will work as part of a cross-functional team with vast experience in R&D, Quality & Food Safety, Procurement, Regulatory, Supply Chain management and Manufacturing in the Nutrition business. You will work in an environment that is high-paced, dynamic and complex with various functional disciplines located at different sites.

You are results focused and have a continuous improvement mindset. You have strong analytical and organizational skills and communicate effectively with colleagues from different fields.

Roles and Responsibilities:

• Create Raw Material Specifications in OPTIVA system for new and existing Raw Materials
• Assure OPTIVA users deliver upon task based on defined processes. Strive for right first-time data quality.
• Provide draft specification for cross-functional Internal Review and coordinate alignment
• Facilitate alignment on specification parameters with suppliers
• Coordinate specification external report approval and obtain report signed by supplier(s)
• Verify signed specification reports and Vendor documentation are uploaded in OPTIVA

Requirements:

• At least a Bachelor’s degree (Food Science preferable)
• Good written and verbal communication
• Good presentation skills
• Proficiency in Optiva, Excel, PowerPoint, Microsoft TEAMS is preferred
• Project management experience is preferred

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-%28Living-Materials-Design-and-Development%29/26872-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

•    The Research Fellow will work closely with the Principal Investigator, Dr. LIN Yiliang, on the research project of bio-interface design between living systems and materials for healthcare and sustainable applications.
•    The Research Fellow will help to develop living materials system integrating functional hydrogels with microorganisms, perform material characterization, and investigate the real-world applications.

Job Requirements

•    A PhD degree in a relevant area, e.g., Chemical Engineering, Material Science and Engineering, Chemistry, Biomedical Engineering;
•    Good publication record;
•    Experienced bio-interface design, construction of living materials, materials characterization, and cell culture.
•    Any experience with 1) animal experiments, 2) advanced characterization techniques, and 3) soft matter mechanics and physics, is a plus
•    This position is available from Jan 2025

Name of Authority: Waterway Primary School

Contract Period: From 17 Aug 2026 to 16 Aug 2028.

Personnel to be deployed at the following hours:

* Mondays to Thursdays: 7:30am to 4:30pm, inclusive of 30min lunch break

* Fridays: 7:30am to 4:00pm, inclusive of 30min lunch break

* The authority reserves the right to vary the timing of the working hours when required in consultation with the contractor.

* Service not required on Saturdays, Sundays and gazetted public holidays

Job Scopes：

The Services required are set out as follows:

a. Management of resources

 Regular Inventory management in Science Labs including stock-take, replenishing, repairs and replacement

 Assist HOD (Science) to liaise with vendors in procurement for inventory management in Science Labs

 Organise resources neatly with name labels in the Science Labs

 Assist the teacher to facilitate student discussions

 Tidying up of Science Labs

b. Preparation of resources

 Co-ordinate loan request from teachers in the Science Labs

 Preparing and set up of resources according to scheme of work & specifications given by teachers in the Science Labs

 Printing and photocopying jobs in the Printing Room

 Preparation of teaching aids such as cutting and lamination works in the Science Labs

Administrative duties:

Assist with other ad-hoc administrative duties and preparation of resources for the Authority as required by the school and/or department.

Requirements:

The Personnel should preferably have the following qualifications:

GCE 'N'/’O’ Level Certificate

The Personnel shall minimally have the following experience:

1 year of working experience in School Science Lab

Maxhunt Resource Pte Ltd | EA Licence: 22C1322

Cynthia Lai | Registration No: R25146301

Job Summary

We are a project team comprising researchers from SingHealth, A*STAR, and Synapxe, developing a product to enhance the management and treatment of patients with lower respiratory tract infections (LRTIs)—a condition that accounts for nearly 489 million cases globally and is a major contributor to inappropriate antibiotic use in Singapore. 

Over 40% of prescriptions for LRTIs are unnecessary, contributing to antimicrobial resistance (AMR)—a top global health threat. Traditional stewardship programs are expert-dependent and resource-intensive, limiting scalability.

To overcome these challenges, we are building an AI-powered Large Language Model platform that uses routinely collected clinical data to help clinicians identify cases that do not require antibiotics, thereby reducing unnecessary prescriptions.

Role:

As a Research Officer, you will play a central role by integrating Large Language Models (LLMs) for intelligent processing of unstructured clinical text—such as physician notes, discharge summaries, and radiology reports. Your work will help build explainable, scalable, and real-time AI recommendations that assist clinicians at the point of care for lower respiratory tract infections.

Key Responsibilities:

• Contribute to the LLM development, focusing on enhancing unstructured data processing for clinical and biomedical applications.
• Fine-tune and train LLMs (e.g., LLaMA, Mistral, Phi, and the GPT family) using supervised and instruction-based datasets.
• Design and implement pipelines for data cleaning, preprocessing, and tokenisation of large-scale text corpora.
• Integrate retrieval-augmented generation (RAG) and knowledge graph components for domain adaptation.
• Evaluate model performance using BLEU, ROUGE, BERTScore, and factual consistency metrics.
• Develop optimised PEFT/LoRA/QLoRA fine-tuning frameworks for efficiency on GPU clusters.
• Collaborate with researchers to design experiments, interpret results, and publish findings.
• Maintain reproducible codebases, documentation, and experiment logs.

Requirements:

• Master or Bachelor in computer science, data science, artificial intelligence, computational linguistics, or related disciplines.
• Strong experience in Natural Language Processing (NLP), transformer-based models, and text generation.
• Proficiency in Python, PyTorch, Hugging Face, Transformers, and LLM fine-tuning libraries (e.g., PEFT, DeepSpeed, bitsandbytes).
• Experience with text and data processing, including annotation, tokenisation, and augmentation.
• Familiarity with vector databases (FAISS, Qdrant) and RAG pipelines.
• Understanding of GPU-based training, distributed model optimisation, and experiment tracking (e.g., MLflow, W&B).
• Strong analytical, communication, and collaborative skills.

Preferred Experience

• Research experience with open-weight LLMs or domain-specific adaptation (e.g., biomedical).
• Experience with multi-agent frameworks, prompt engineering, or LLM safety evaluation.
• Familiarity with cloud computing (AWS, Azure) or on-prem GPU clusters.

What We Offer

• Opportunity to work on cutting-edge LLM research with measurable real-world impact.
• Access to high-performance GPU infrastructure and interdisciplinary collaborations.
• Mentorship and opportunities for publication, conference presentation, and project leadership.

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.