Total 2,238 Science / R&D / Research job vacancies in Overseas

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).

Role Overview

As a University of Applied Learning, SIT works closely with industry in its research pursuits. Our research staff have the opportunity to develop industry-relevant applied research capabilities while contributing to impactful projects that address real-world operational needs.

We are seeking a Research Engineer to join an applied research project focused on the development of an embodied AI robotic system for urban infrastructure inspection and maintenance. The project involves the design, integration, and validation of robotic mechanisms, sensing systems, and automated workflows for outdoor infrastructure maintenance applications.The successful candidate will work closely with a multidisciplinary research team and industry partners to investigate, prototype, test, and implement practical robotic solutions that can operate in real-world environments and support more efficient, safe, and scalable infrastructure maintenance.

Key Responsibilities

• Design, develop, and integrate customised mechanical mechanisms for robotic systems, including robotic end-effectors, grippers, tool-changing interfaces, material handling systems, and task-specific automation modules.
• Develop 3D CAD models, fabrication drawings, Bills of Materials (BOMs), and technical documentation using SolidWorks.
• Perform mechanical design analysis and engineering calculations, including load estimation, actuator sizing, structural integrity, tolerance analysis, and vibration/shock mitigation.
• Ensure mechanical designs are compatible with robotic arms, mobile platforms, sensors, and mechatronic systems, considering payload, reachability, safety, manufacturability, and maintainability.
• Build, assemble, and commission mechanical prototypes and experimental robotic systems.
• Conduct laboratory and field testing, analyse results, troubleshoot issues, and implement design improvements through iterative development.
• Source and evaluate commercial components, and work with vendors, fabricators, and contractors to support fabrication and assembly.
• Support field deployments and technology demonstrations with industry partners.
• Prepare technical reports, design documentation, test reports, risk assessments, and project deliverables.
• To liaise and communicate with internal and external stakeholders to ensure project deliverables are met.
• Any other ad-hoc duties assigned by Supervisor.

Requirements

• Bachelor’s degree or higher in Mechanical Engineering, Mechatronics Engineering, Robotics Engineering, or a related discipline.
• Strong hands-on experience in mechanical design, prototyping, fabrication, and system integration.
• Proficiency in SolidWorks for 3D modelling, assembly design, and engineering documentation.
• Good understanding of mechanical design principles, materials, manufacturing processes, and engineering analysis.
• Experience working with robotic systems, sensors, actuators, or mechatronic systems is advantageous.
• Strong problem-solving skills, attention to detail, and ability to work independently and within multidisciplinary teams.
• Willingness to conduct laboratory and field testing when required.

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

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

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

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Assistant/33378-en_GB/?st=D69A109800B45D05A9B168D1AA363BC6A2D3EC43

We regret that only shortlisted candidates will be notified.

Job Description

The job holder will assist with provide data management, analytical and reporting support for research project.

Duties & Responsibilities 

• Clean and document survey datasets to ensure data accuracy, consistency and readiness for analysis
• Conduct predictive analysis using statistical and analytical methods to identify patterns, trends and insights from survey data
• Develop data visualisations, reporting outputs to communicate survey findings
• Prepare technical documentation and analytical reports and provide support in the interpretation and presentation of survey results for research purpose.
• Any other duties as assigned

Qualifications

• Degree in Data Science and Economics , Computer Science or a related discipline
• Experience in survey data management
• Proficient in statistical and analytical software
• Experience in development of data visualisation and analytical reports using relevant tools
• Strong analytical, problem solving and communication skills with ability to present findings clearly in both technical/non-technical way
• Ability to work independently, manage multiple tasks and meet project datelines in a research environment

Primary Science Tutor 

Location: 1187 Upper Serangoon Rd, The Midtown, Singapore 533971

Working days & Time: 4 weekdays (Mon-Thu 12PM-9PM) + 1 weekend (Sun 9AM-6PM)
Salary: $3000 - $4500 (depends to experiences)

Key Responsibilities

• Teach small group classes (6–12 students) using our in-house curriculum
• Provide academic guidance and regular progress updates to parents
• Offer support to students who need additional help
• Collaborate on lesson content updates and curriculum improvements
• Participate in planning and delivering holiday programmes

Requirements: 

• Have past experience in teaching Science
• Understanding in MOE primary / secondary school syllabus for your Science.
• Degree Holder (Science Degree Chemistry/Life Science/ Engineering / Teaching)

Cheong Yeat Long | R25145358

The Supreme HR Advisory Pte Ltd | EA 14C7279

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-%28Laboratory-Coordinator%29/33309-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

Location: Lung Diseases Research Laboratory in the Department of Physiology, National University of Singapore

Email interest with CV and list of at 2 referee letters to NUS Career Portal

Research Assistant (Laboratory Coordinator)

The Research Assistant (Laboratory Coordinator) will support the administrative and operational functions of the laboratory, ensuring efficient coordination of research activities and compliance with institutional policies. The role also includes providing experimental support to Research Fellows/Associates and students where required.

Key Responsibilities

• Coordinate project administration, including procurement, purchase orders, and invoice processing
• Maintain accurate laboratory records, documentation, and filing systems (electronic and hardcopy)
• Support day-to-day laboratory operations, logistics, and inventory tracking
• Provide technical and experimental support to Research Fellows/Associates and students, where applicable, hands-on experience in animal work is preferred
• Assist with basic laboratory procedures and ensure proper use of equipment and resources, including safety-related documentation and procedures
• Liaise with internal departments (e.g., finance, procurement, safety) and external vendors
• Ensure compliance with institutional guidelines and standard operating procedures

Qualifications

• Bachelor’s degree in Biological Sciences or a related discipline
• Proven experience in project coordination or administrative roles
• Strong organizational skills with high attention to detail
• Prior laboratory experience with animal handling is advantageous

Skills & Competencies

• Ability to work independently and manage multiple priorities
• Strong interpersonal and communication skills
• Ability to support experimental work in a collaborative research environment

Application Instructions

Interested applicants should submit a CV, a cover letter, and three reference letters.

Job Description :

1. Need to take Bar Bending Schedule from rebar structural drawings.

2. Need to Take the exact rebar quantities from the provided drawings.

3. Submission of Cost control reports for total rebars received & total rebars used & wastages.

4. Able to test and use the communication devices.

Job Requirements :

1. Experience in Bar Bending Schedule.

2. Diploma or above relevant qualifications.

3. Previous Singapore work experience will be an added advantage

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

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28Smart-Pavement%29/33311-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore (NUS) Department of Civil and Environmental Engineering invites applications for one (1) Research Fellow position in the area of smart pavements. The candidate is expected to work in research projects related to the topic funded by the Defence Science and Technology Agency of Singapore. The candidate will be working with Associate Professor Ong Ghim Ping Raymond from the Department of Civil and Environmental Engineering, College of Design and Engineering (CDE)(https://cde.nus.edu.sg/cee/staff/ong-ghim-ping-raymond/) in fundamental and translational research in the development of new asphalt pavement design guidelines.
 

The selected individual is required to:

•    Perform field experiments on installation and operations of smart pavements including sensor installation, data acquisition, camera system development, edge device management, backend communications, and software architecture integration as core focus.
•    Work on mechanistic empirical pavement modelling and evaluation for airport pavements.
•    Develop state of the art solutions for high performance pavement system and work closely with contractors and agencies on field construction implementation to ensure solution is commercially viable.
•    Manage research project progress, grant administration, and finance.
•    Work on other relevant tasks set out by the project PI.  

Job Requirements

•    Possess a PhD in civil engineering or a related area. 
•    Applicants with relevant experience in both field asphalt pavement design and modelling, smart road development and field implementation would be favourably considered. 
•    Strong written and spoken communications and has the ability to present research findings in publications and professional meetings (including with agencies and the industry). 
•    Values teamwork and has good team working skills. 
•    Open to fixed-term contract. 
 

Interested applicant may apply to the job link with the followings: 

•    Cover letter
•    Curriculum vitae and transcripts, including a list of publications (provide softcopies of relevant papers)
•    The school will request for referee letters (of which one must be from the PhD supervisor)
 
•    Only shortlisted candidates will be notified.

About the Role

Are you passionate about applying psychological research to drive meaningful social impact? We are seeking an Associate Psychologist to support programme development, implementation science initiatives, and evidence-informed practice improvements within the social service sector.

This role is ideal for Psychology graduates with strong analytical skills who are interested in research, data analysis, and programme evaluation while contributing to initiatives that strengthen professional practices and service delivery.

Key Responsibilities

• Conduct literature reviews and evidence syntheses to support programme development and evaluation initiatives.

• Collect, analyse, and report data to inform programme improvements and implementation efforts.

• Set up and manage datasets of varying complexity and develop dashboards for research and operational insights.

• Support the design and execution of implementation and evaluation projects, including developing surveys and interview guides.

• Collaborate with internal and external stakeholders to identify innovative practices and technological solutions to enhance professional practice and work processes.

• Prepare reports, presentation materials, and knowledge-sharing resources for internal and external stakeholders.

Requirements

• Degree in Psychology or a related Social Science discipline.

• Good understanding of data management practices and basic statistical analyses.

• Strong interpersonal, written, and verbal communication skills.

• Proficiency in Microsoft Office applications, particularly Word and Excel.

• Ability to work independently and manage multiple priorities within tight timelines.

Preferred Qualifications

• Degree with at least Second-Class Honours or equivalent.

• Familiarity with implementation science concepts.

• Experience with data visualisation tools such as Power BI or Tableau.

• Knowledge of data analysis software such as SPSS, R, or STATA.

• Familiarity with AI-related tools.

• Experience in digital communications or design tools such as Canva, Adobe Photoshop, Piktochart, or video editing software.

• Prior research experience through academic projects, internships, or employment.

Why Join Us?

• Gain valuable experience in programme development and implementation science.

• Work alongside experienced psychology professionals in a collaborative environment.

• Develop expertise in research, data analytics, and evidence-informed practice.

• Contribute to initiatives that create positive social impact in Singapore.

The Division of Strategy, International Business, and Entrepreneurship (SIE) at Nanyang Business School invites applications for a Research Fellow to advance research at the intersection of artificial intelligence and strategic management, with emphasis on strategic decision-making, managerial cognition, and problem formulation.

The successful candidate will participate in organizational field studies and experimental research examining how managers formulate strategic problems and make decisions in complex organizational environments, as well as how artificial intelligence influences diversity-related issues in organizational strategic decision processes. This role integrates behavioral research approaches, field studies, and data analysis to generate high-quality academic research outputs and provides opportunities for collaboration with international academic institutions and industry partners.

Responsibilities:

• Participate in designing and implementing organizational field experiments, supporting project implementation, securing research sites and samples, and maintaining industry research collaborations

• Conduct research on artificial intelligence and strategic management, focusing on managerial decision-making and strategic processes in AI-enabled organizational contexts.

• Process and analyze multi-source survey, experimental, and organizational datasets, and support preparation of research reports and research outputs.

• Contribute to academic publications and research dissemination activities, including research grant applications, academic conferences, and student research supervision where appropriate.

Requirements:

• Education: PhD in Management, Strategy, Organizational Behaviour, or related disciplines.

• Research Experience: Experience in organizational or experimental research and demonstrated ability to conduct independent research.

• Domain Knowledge: Theoretical background and research interest in artificial intelligence and strategic management.

• Analytical Skills: Strong research design and data analysis capability, including experience with statistical software such as R or Python.

• Soft Skills: Strong academic writing, teamwork, and communication skills.

• Track Record: Evidence of academic publications or strong publication potential.

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

Hewlett Packard Enterprise is an industry leading Technology Company that enables customers to go further, faster. With the industry’s most comprehensive portfolio, spanning the cloud to the data center to workplace applications, our technology and services help customers around the world make IT more efficient, more productive and more secure.

HPE Networking offers a comprehensive open and standards-based portfolio designed to address a broad range of customer segments, from small & medium businesses, to the largest enterprises with advanced requirements for leading branch, campus LAN and data center solutions. HPE’s innovative technology and open, standards-based approach to networking is resonating with customers around the world.

HPE Networking is looking for an individual who is creative and self-motivated to fill the post of R&D Hardware Verification Engineer, holding responsibilities for the test and development of network connectivity devices used in our state-of-the-art network switches.

Job Family Definition:

Designs, analyzes, develops, modifies and evaluates electrical/electronic parts, components, sub-systems, algorithms, or integrated circuitry for electrical/electronic equipment and other hardware systems. Conducts feasibility studies, design margin and validation analyses and empirical testing on new and modified designs. Assists in architecture development and assessment. Evaluates reliability of materials, properties, designs, and techniques used in production. May direct support personnel in the preparation of detailed design, design testing and prototype fabrication.

Management Level Definition:

Contributions include applying intermediate level of subject matter expertise to solve common technical problems. Acts as an informed team member providing analysis of information and recommendations for appropriate action. Works independently within an established framework and with moderate supervision.

Responsibilities:

• Validate next generation high-speed ethernet switching systems.
• Ensure performance of ethernet physical layer devices (Optical Transceivers, Direct Attach Cables, Active Optical Cables, etc.) with Aruba switches.
• Develop test methodology and execute verification testing to qualify ethernet physical layer devices with Aruba switches.
• Innovatively solve issues, drive completion of the project to schedule, and collaboratively network with other technical contributors.
• Collaborates and communicates with management and internal partners regarding design status, project progress and issue resolution.

Education and Experience Required:

• Bachelor's or Master's degree in Electrical Engineering.
• Typically 2-4 years experience.
• Proven track record in system test, test infrastructure characterization, automation or relevant engineering experience and background.

Knowledge and Skills:

• Experience with design verification and system level stress test of complex electronic systems.
• Possess good knowledge and technical understanding of hardware design.
• Knowledge of high-speed ethernet protocols (e.g. XAUI, XFI, 25GAUI, XLAUI and CAUI-4), encoding (e.g. NRZ and PAM4) and optical/copper transceivers technologies is a plus.
• Strong analytical and problem-solving skills.
• Outstanding interpersonal skills with ability to work in team.
• Excellent written and verbal communication skills; mastery in English and local language.
• Familiar with programming languages such as Python and tools like itest, GitHub and Jenkins are a plus.

Job Description :

1. Need to drive company Lorries to fetch workers and to carry materials.

2. Need to Pickup & Drop workers from different Dormitory locations to Work place daily in early morning & night.

3. Able to Work on Sundays & Public Holidays.

4. Able to Work inside the Construction Site after fetching the workers.

5. Able to work in Flexible timings depends on the daily site situations.

Job Requirements :

1. Valid Class 4 Singapore Driving License.

2. Valid BCSS Course Completion Certificate (Building Construction Safety Supervisor) will be an added advantage.

3. Construction onsite Work experience will be added advantage.

Job Description :

1. Need to handle & Supervise all rebar works with the provided rebar workers & team leaders.

2. Able to understand Construction Rebar Drawings and need to plan & work accordingly as per the drawing & given schedule.

3. Able to take Bar Bending Schedule as per the given drawings.

4. Need to Work in flexible timings as per the site situation.

Job Requirements :

1. Singapore experience and other international work experience will be an added advantage.

2. Must have minimum 2 years of work experience preferably in Singapore.

Job Description

• Industry/ Organization Type: Waste Management & Materials Recovery
• Position Title: R&D Engineer (Waste & Process Development)
• Working Location: Tuas (Company transportation provided)
• Working Hours: 5 days (Monday – Friday, 8:00 AM – 5:00 PM)
• Salary Package: Basic Salary + AWS + Retention Bonus + Incentive + Transport Allowance
• Duration: Permanent Role

Key Responsibilities

• Develop, evaluate, and optimize waste treatment, handling, and recovery processes to ensure technical feasibility, cost efficiency, and sustainability.
• Collaborate with Sales, Marketing, and Operations teams to understand waste sources, identify opportunities, support project development, and execute pilot trials.
• Identify, assess, and implement new technologies and solutions, including working with external partners such as universities, research institutes, and technology providers.
• Establish and enhance laboratory capabilities, including process development and analytical methods to support R&D and operational needs.
• Drive continuous improvement by optimizing existing processes and introducing alternative treatment methods where appropriate.
• Ensure compliance with company procedures, documentation standards, and safety, health, and environmental requirements while maintaining proper laboratory practices.
• Support the development of handling solutions for complex or high-value waste streams and contribute to business growth through new initiatives and facility planning.
• Stay updated on industry trends and emerging technologies and proactively introduce relevant innovations.
• Perform other ad-hoc duties as assigned.

APPLY NOW!!!

• PhD in Chemistry or Chemical Engineering with at least 5 years of relevant experience in areas such as specialty chemicals, oil & gas, or water treatment
• Strong problem-solving skills and ability to work both independently and in a team
• Good analytical and communication skills
• Ability to perform visual inspection and distinguish colour variations in laboratory or process work

Kindly apply through ANY of the following methods:

• Submit your application by clicking the APPLY button;
• Email your resume to Job@anradus.com.sg. Please indicate #83634 on the email subject.

Anradus Application Policy: We value each application and ensure every resume is reviewed. Our process is efficient, typically concluding within 3 working days. If you do not receive communication from us within this timeframe, it's likely that your application has not been shortlisted by our client. In such cases, we recommend continuing your job search to maximize your opportunities.

Anradus Pte Ltd | EA License No. 20C0161 | Angel Lim | EA Reg No.: R1769781

Chip R&D Vice President (VP)- Based in Shenzhen/Hong Kong (Shanghai/Chengdu also acceptable)

芯片研发- 副总裁（VP）｜深圳 香港（可上海/成都）

Salary- RMB 3.5-4 million/year

I. Job Overview

The company is at a critical stage of high-performance processor chip R&D and industrialization, and is now recruiting a Vice President (VP) for Chip R&D globally. As one of the company's core technology leaders, this position will be responsible for the overall R&D management of large-scale chip products, leading the team to complete the entire process from architecture design to mass production, and driving the company's next-generation processor products to achieve commercial breakthroughs.

Reporting to: CEO Work

Location: Shenzhen (Shanghai/Chengdu also acceptable)

II. Core Responsibilities

1. Chip R&D System Construction Responsible for the company's large-scale chip product R&D strategic planning and technology roadmap formulation;

2. Coordinate the management of chip front-end, back-end, verification, and software R&D teams; Establish and optimize R&D processes, quality systems, and project management mechanisms.

3. Product Lifecycle Management Lead the entire process of high-performance processor chip development, from definition, architecture design, RTL development, verification, physical implementation to tape-out and mass production deployment; Drive chip products to complete tape- out, packaging, testing, and mass production delivery on schedule;

4. Coordinate upstream and downstream partners and fab resources.

5. Technical Team Building Build and cultivate an international chip R&D team; Attract and manage high-end technical talent; Establish a technical talent pipeline and core R&D capabilities.

6. Technical Decision-Making and Risk Control Participate in major technical roadmap and product planning decisions; Lead the tackling of key technologies; Control R&D risks and ensure timely project delivery.

III. Qualifications Education Background

Master's degree or above from a 985 university; Overseas renowned university background preferred; Major in Computer Science, Microelectronics, Integrated Circuits, Communication Engineering, or related fields.

Core Technical Requirements (Hard Requirements)

Required Experience: Leaded large-scale chip (CPU, GPU, AI chip, or high-end communication chip) R&D projects; Have complete chip R&D and successful tape-out experience; Deeply involved in: Chip project initiation Architecture design RTL development Verification Backend implementation Tape-out Fab implementation and mass production Successful case studies of building chip products from scratch.

Preferred Company Background:

Preferred candidates are from the following companies: leading chip companies

Management Experience: Managing a R&D team of over 100 people is preferred;

Experience in cross-departmental collaborative management; Experience in R&D management at startups or fast-growing companies is preferred.

Long-term technical accumulation and strong entrepreneurial spirit; Allowance to adopt innovative corporate development models.

IV. Team and Business Status

R&D Team The R&D team consists of approximately 120-130 people; over 50% of members have overseas experience; a complete R&D system has been established, including: Chip Architecture, Front-End, RTL Design, Verification, Physical Design, and Software. Product Progress The company has successfully released its self-developed processor product; currently in the critical stage of mass production introduction; large-scale mass production is expected to be achieved by the end of 2026 to the first half of 2027.

V. Compensation and Incentives

Components: 12 months fixed salary + 6 months performance bonus

Long-term Incentives: Stock options (with significant growth potential)

VI. Special Notes If a qualified full-stack VP-level talent cannot be found, the company may consider adopting a "Dual Director Model": Front-End Director Back-End Director Both share VP responsibilities, achieving comprehensive technical capabilities