Total 1,918 Science / R&D / Research job vacancies in Overseas

The School of Civil and Environmental Engineering (CEE) at Nanyang Technological University is a leading school for Sustainable Built Environment. It has over 60 faculty members and more than 1,500 students and is rapidly expanding its range of education and research activities. We are looking for a Research Fellow to develop innovative geophysical imaging methods and applying it to underground exploration and relevant disciplinaries

Key Responsibilities:

• Develop novel imaging algorithms and validate them through synthetic experiments

• Extend these methods to real-world experiments to address practical challenges

• Publish high-impact research articles in leading international journals

• Assist in the preparation and development of competitive research proposals

• Support the supervision and mentoring of undergraduate and graduate students

Job Requirements:

• PhD’s degree in exploration seismology, applied geophysics, or related field

• At least 3 years of relevant experience in geophysical modeling and inversion

• Familiarity with related literature and software

• Good written and oral communication skills

• Entry level candidates are welcome to apply

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

Job Summary
The HPC System Engineer will design, optimize, and maintain HPC system architecture, including compute, interconnect, and storage components. This role involves advanced performance tuning, resource planning, and technology evaluation to ensure scalability, reliability, and security of NSCC’s supercomputing infrastructure.

Roles and Responsibilities

System Engineering & Optimization:

• Evaluate HPC system architecture, including compute, interconnect, and storage components.
• Collaborate with HPC System Administrators to ensure system reliability and performance.
• Assist in performance tuning and root-cause analysis for complex system-level issues.
• Develop and maintain utility tools for system diagnostics and performance profiling.

Resource & Workload Management:

• Configure and optimize job schedulers (e.g., Slurm, PBS Pro) to maximize resource utilization and throughput.
• Develop and enforce policies for resource allocation and workload prioritization.

Design & Planning:

• Assess future computational requirements and contribute to HPC system architecture design.
• Evaluate emerging technologies (processors, accelerators, interconnects, storage solutions, programming models).

Compliance & Risk Management:

• Define and implement security policies in collaboration with administrators.
• Conduct regular security checks and ensure compliance with organizational standards.

Collaboration & Documentation:

• Work closely with Middleware and Storage Engineers to ensure system compatibility.
• Document system architecture, configurations, and engineering decisions.

Qualifications:

• Degree in a Computer Science, Engineering, IT or other relevant areas.
• At least 3 years of experience in managing HPC systems.
• Highly proficient in UNIX/Linux environments and command line interface (CLI).
• Experience with cluster management software (xCAT, BCM, PHPC, HPCM).
• Experience with job scheduling and workload management software (Slurm or PBS Pro)
• Strong knowledge of HPC storage principles and experience in managing parallel file system (Lustre, GPFS, BeeGFS).
• Strong knowledge of RDMA-based interconnect (InfiniBand, RoCE).
• Understanding of basic network protocols like DHCP, DNS, TFTP, SMTP, etc.
• Good knowledge of scripting languages like Python, Bash or Perl.
• Demonstrate ability to analyse complex issues and develop effective solutions.

ABOUT THE ROLE

We are looking for a motivated individual to fill the position of a research scientist in the group. You will be part of the team charged with the development of high precision motion systems required in automated machines tools for semiconductor industry. In this role, you are expected to perform the modelling, simulation and control of the motion control system to achieve coordinated motion for the complex equipment. The ability to model and analyse the system dynamics under the various operational scenario would also be a necessary part of the development process. In addition, hands-on experience with the implementation of digital control methods (with hardware in the loop) is required in order to achieve the real-time control of the motion system. You will collaborate with cross-functional teams to implement solutions that enhance motion system performance, reliability and efficiency.

JOB DESCRIPTION

• Design and develop motion control algorithms for complex precision motion systems.
• Implement advanced control strategies with state-of-the-art learning-based control methods including but not limited to reinforcement learning, Bayesian optimization etc.
• Use tools like MATLAB/Simulink, LabVIEW, dSPACE, Speedgoat or equivalent to simulate and control the motion systems
• Perform system-level simulations to optimize performance and stability.
• Develop test procedures for motion control systems to ensure compliance with performance requirements.
• Select and implement motion control components, including sensors, controllers, and drive electronics.
• Work closely with the hardware team to integrate control systems with mechanical and electrical sub-systems.
• Optimize motion trajectories for precision tracking, high speed and energy efficient actuation.

JOB REQUIREMENT

• Ph.D degree in Electrical, Control or Mechatronics Engineering
• 2-3 years of work experience or similar is preferred 

We value the following skills and experience:

• Work experience in the semiconductor industry will be a plus
• Experience with the semiconductor equipment development e.g. automated wafer handling machine
• Strong knowledge of control theory and digital control techniques
• Proficiency in programming languages such as C, C++, Python, or MATLAB.
• Experience with following
• motor control techniques e.g. FOC, MPC
• motion control techniques such as feedforward, cascade control and observer design
• embedded system design or FPGA development
• Knowledge of machine learning applications in motion control, such as reinforcement learning and others
• Familiarity with industrial communication protocols (e.g., CAN, EtherCAT, Modbus)
• Familiarity with standards and certifications for industrial or safety-critical systems
• Excellent problem-solving and analytical skills
• Strong communication and teamwork abilities

Hyundai-NTU-A*STAR Corp Lab serves to drive research development and industry adoption of AI, Robotics, 3D Printing technologies, and Digital Twins through collaborative projects with HMGICS, and with schools and research centres within and beyond the University.

Responsibilities:

• Manage research projects, including milestones, deliverables, KPIs, and administration of major research/industry initiatives.

• Oversee day‑to‑day laboratory operations, facilities, and a team of researchers, while driving cost efficiency and process improvements.

• Conduct hands‑on experimental work and support research outputs, including proposals, journal papers, and conference publications.

• Prepare communications content and interface with industry partners and stakeholders.

• Ensure all activities and procedures comply with the University’s policy framework and support coordination of Hyundai‑NTU‑A*STAR Corporate Lab activities.

Requirements:

• Ph.D. in the area of Industrial, Mechanical, and Materials Engineering

• Engineering Design and Optimization

• Human Factor and Ergonomics

• AI-based Sensor Fusion

• Monitoring and Inspection using various sensors

• Optimization and control to implement sensors.

• Skills: FEM software (Comsol Multiphysics, Abaqus), CAD software (Solidworks, AutoCAD), Visual C++, LabVIEW, Pythons, EEG, and eye-tracking systems

• Demonstrated expertise in the area of design, methods, modelling, and optimization for implementing multimodal sensors, particularly in the automotive applications.

• Knowledge of engineering design, human factor, control, optimization, FEA simulation and experience in sensors will be considered.

• Applicants should also demonstrate a strong research track record, with publications in top‑tier journals.

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

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

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Assistant-%28Biological-Sciences%29/32448-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The successful candidate will work with Assoc Prof. Ryan Chisholm under the project “Advancing population viability analysis for an increasingly variable world”. The candidate’s role in the project will involve estimating the population size of pangolins in Singapore and modelling the population’s future trajectory. The ideal candidate will have experience programming in R and will be passionate about mammal conservation in Singapore. The position will be for one year.

Qualifications

Degree in Life Sciences or related field.

Skills:
Literature review, data analysis, programming in R.

Experience:
Previous experience with modelling wildlife population is desirable but not essential

Established in 2010, the Energy Research Institute @ NTU (ERI@N) is a pan-university research institute that focuses on systems-level research for tropical megacities. It performs translational research that covers the energy value chain from generation to innovative end-use solutions, motivated by industrialisation and deployment. ERI@N has multiple Interdisciplinary Research Programmes which focus on translational Research, Development & Deployment which focus on specific area of the energy value chain, and a number of Living labs and Testbeds which facilitate large scale technology deployment enabling validation and demonstration of real-world applications.

We are looking for a Research Associate to support the research progress on Perovskite quantum dots for their implementation in light-emitting devices

Key Responsibilities:

• Collaborate with the materials and device team

• Development of Infrared emitting Quantum Dots (QDs)

• Development of Optoelectronics devices based on QDs

• Synthesis of novel Perovskite low-dimensional systems such as QDs and nanowires.

• Optical and electrical characterization methodologies.

• Operation, maintenance, and diagnosis of the chemistry lab and other simple laboratory instruments used.

• Supervise undergraduate students

Job Requirements:

• Possess a Bachelor's/ Master's degree in Physics/ chemistry/engineering or related disciplines.

• Experience in advanced laboratory experience in thermal evaporation

• Experience in advanced laboratory methods for the fabrication and analysis of solar cells

• Experience in Perovskite materials and optoelectronic devices

• Expert in Perovskite nanostructured synthesis. 

• Good interpersonal skills.

• Excellent teamwork awareness.

• Good communication and writing in English - essential for data analysis and communication with stakeholders

• Strong responsibility for research/work

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

Technical Specialist – Certificate Lifecycle Management (CLX) Project

• Support technical implementation of Certificate Manager (CLX) in UAT and Production environments
• Configure and validate CLX capabilities including Agentless Discovery of TLS certificates across Linux and Windows platforms

Assist in integration with Bank's systems: MCA (Microsoft Certificate Authority), PWV (CyberArk PAM), Helix (ITSM)

• Develop scripts and automation for certificate deployment and validation
• Perform troubleshooting during discovery and renewal phases; ensure compliance with security and operational standards
• Prepare technical documentation, SOPs, and knowledge transfer materials for BAU teams

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-%28Theory-of-2D-Materials%29/32453-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are seeking a motivated research fellow to join our group, which is dedicated to the synthesis of 2D materials, device fabrication, and the investigation of their properties. Our work is committed to solving key challenges of 2D materials applications in nanoelectronics, photonics and energy harvesting and conversion. We are looking for a candidate with proven track record in computational materials science, density functional theory, and two-dimensional materials.

Key Responsibilities:
•    Use the first-principles approach to explore novel two-dimensional (2D) materials and their tuning for next-generation electronics.
•    Work with experimentalists to elucidate growth and properties of 2D materials.
•    Evaluate optical and electrical properties of 2D materials.
•    Make contributions to science and engineering communities via publications, patents, and conferences. 
•    Resources planning and technical procurement.

Qualifications

1.    A PhD degree in a relevant area (Materials Science/Chemistry/Electrical Engineering or equivalent) / Candidates submitted Thesis and will be receiving their PhD within 6 months. 
2.    Good publication record.
3.    Experience in 2D Materials research.
4.    Good written and verbal communication skills in English.
5.    Excellent problem solving and analytical skills.
6.    Proven track record in computational materials science and density functional theory.

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-%28Mechanobiology-Institute%29/32446-en_GB/?st=2BEE3E975B56E1CC0656038B6C6B070EF3DB1ED2

We regret that only shortlisted candidates will be notified.

Job Description

The Mechanobiology Institute (MBI) at the National University of Singapore (NUS) is a leading multi-disciplinary institute devoted to developing new paradigms for understanding biological functions in health and diseases from the perspective of cell, tissue and organ mechanics/dynamics and mechano-signal transduction. The institute operates on a fully integrated open-lab philosophy, with an extensive infrastructure supported by core facilities dedicated to technology such as state-of-the-art light microscopy, nano- and micro- fabrication, and computing.

We are seeking a highly motivated and skilled Research Fellow to join our multidisciplinary team investigating the biophysical and mechanochemical properties of signalling proteins on 3D shaped membranes. The successful candidate will work at the interface of membrane biophysics, cell signalling, and nanofabrication-based membrane curvature control, contributing to a broader effort to understand how membrane environment regulates protein activation and signalling at the cellular and molecular levels.

Responsibilities will include:

• Leading independent and collaborative research on curvature-regulated protein activation and signaling on membranes
• Developing and applying nanofabricated platforms (e.g., nanopillars, nanobars, nanorings) to probe membrane curvature effects
• Performing in vitro reconstitution (e.g., supported lipid bilayers, phase separation systems) and live-cell assays (e.g., T cell signaling)
• Utilizing advanced imaging techniques (e.g., confocal, TIRF, SIM, STED) and quantitative image analysis
• Building and implementing computational pipelines for image quantification and biophysical analysis
• Contributing to high-impact publications, grant writing, and mentoring of junior researchers

Qualifications

• PhD in Biophysics, Molecular Biology, Biomedical Engineering, or a closely related field.
• Strong background in membrane protein biochemistry, membrane biophysics, membrane modulation (ideally magnetic tweezer and micropipette manipulation), or single-molecule techniques.
• Experience with reconstitution of proteins into model membranes (e.g., liposomes, GUVs, supported bilayers) is highly desirable.
• Excellent problem-solving, communication, and organizational skills.
• Proven track record of peer-reviewed publications.

The Alibaba-NTU Global e-Sustainability CorpLab (ANGEL) represents a key collaboration between Alibaba Group and Nanyang Technological University (NTU). Supported by the Singapore RIE2025 Fund, ANGEL creates and deploys impactful green digital technologies for global sustainability.

ANGEL’s mission aligns seamlessly with Singapore’s national objectives, such as the Singapore Green Plan 2030 and the Singapore Smart Nation Initiative. ANGEL’s work in developing sustainable and equitable digital solutions and promoting a sustainable and green lifestyle will contribute to a smaller carbon footprint. Its holistic approach will help to secure a brighter, more sustainable future for humanity. 

We are looking for a highly motivated Research Engineer to pioneer the next generation of intelligent agents for data center operations. We conduct cutting-edge research at the intersection of Large Language Models (LLMs), digital twins, and real-time systems to automate complex decisions and redefine operational efficiency.

Key Responsibilities:

• Design and develop intuitive frontend interfaces for the Digital Twin platform, enabling real-time visualization and interaction with complex system data (e.g., battery systems, energy flows, simulations).

• Build and optimize interactive data visualization components (dashboards, charts, 3D views) using modern frameworks (e.g., React, WebGL), ensuring high performance and responsiveness.

• Collaborate closely with backend engineers and domain experts to integrate APIs, simulation outputs, and real-time data streams into seamless user experiences.

• Enhance system usability and performance by implementing scalable frontend architectures, debugging issues, and continuously improving latency, reliability, and user interaction workflows.

Requirements:

• Bachelor’s degree in computer science, Computer Engineering, Electrical & Electronic Engineering, or related disciplines;

• A strong research background and publication record in relevant areas such as LLMs, agentic AI, Digital Twin, reinforcement learning, or multi-agent systems.

• Deep theoretical and practical understanding of state-of-the-art AI models and frameworks (e.g., Transformers, LangChain, PyTorch).

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

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

NUS Career Portal link: https://careers.nus.edu.sg/job/Senior-Research-Fellow-%28Biomaterials%29/32471-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are looking for a highly motivated individual with a passion for medical research to oversee the development of a novel non-adherent traumatic wound dressing. The candidate will work with a team of business development managers, regulatory specialists, and manufacturing engineers to prepare the product for commercialization. This will involve the robust characterization of the product for its mechanical, biocompatibility, procoagulant and wet adhesive properties, among others. The study will involve a broad range of in vitro testing following industry standards, alongside large animal validation studies (non-GLP and GLP, non-survival and survival). Other duties include the management of the laboratory (safety and logistics), supervision of students (undergraduate and graduate) and contribution to research grants preparation.

Qualifications

•    Possess a PhD in Biomedical Engineering, Materials Science and Engineering, or equivalent.
•    Preferably with 5 years of postdoctoral experience in a relevant research field.

The following skills are a requisite:
o    Biomaterial development, which may include mechanical processing, chemical synthesis, additive manufacturing or microfabrication (or other relevant techniques)
o    Material characterization and testing (mechanical, biocompatibility, surface chemistry, electron microscopy)
o    Blood handling, processing and characterization (biochemistry, biophysics, histology, etc.)
o    Familiar with animal study design, execution and associated administrative procedures
o    Familiar with laboratory management and operations (safety, procurement, documentation, etc.)

•    Experience and expertise in thrombosis biology and molecular biology will be an advantage.
•    Good written and spoken communication 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/Senior-ExecutiveAssistant-Manager-%28Research-Administration%29/32460-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

ADVANCE ID is jointly funded by the Wellcome Trust and Singapore institutions including the Saw Swee Hock School of Public Health and Yong Loo Lin School ofMedicine, National University of Singapore. The vision of the Network is to improve public health by developing the clinical evidence base for the prevention and treatmentof drug-resistant infections. Its mission is to build and sustain a strategic clinical research network focussed on most efficiently delivering locally relevant interventions for drug-resistant infections.

The Network aims to improve and strengthen clinical research capabilities in the regionby acting as a platform to develop good principles and practices. It will stabilise capacityand capabilities to mitigate inefficiencies in trial start-up phase and loss of skillset following study closure, as in typical trial setup. The Network will continuously developits capabilities, quality and efficiency by learning from and collaborating with other clinical trial networks.

In the long term, the Network aims to support broader infectious disease studies by expanding geographically beyond its original starting point in South East Asia and collaborating with other networks around the world. It will function as an active networkthat involves patients in platform trials, allowing for rapid clinical research response inthe event of an emerging infectious disease or pandemic threat.

The current lead faculty of the Network are Professor David Paterson (Director) and Dr Mo Yin (Deputy Director). The senior executive/assistant manager will be working closely with the Network directors, progamme manager (Dr Ding Ying) and project managers to deliver ADVANCE-ID’s aims and objectives.

Duties & Responsibilities

•Develop contract proposals to support Advace-ID's goals
•Negotiate contract terms with internal and external stakeholders while ensuring thatprojects remain within the established budget
•Review and update existing contracts
•Analyze potential risks involved with specific contract terms
•Stay up-to date with legislative changes and coordinate with the legal department asneeded
•Ensure all deadlines and conditions described on contracts are met (e.g. paymentsand shippings)
•Maintain organized system of physical and digital records

Qualifications

1.Degree in life science or health-related subjects
2.Prior experience in a contract administration role in clinical research field in Singapore
3.Has strong negotiation and mediation skills
4.Knowledge of legal requirements involved with contracts
5.Ability to work with varying stakeholders levels, including finance, legal team,research office, and external partners.

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-%28Computer-Science%29/32469-en_GB/?st=FBC0F159DBF57D30EA4D2A70AA55AD1C0D7BC7EA

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for the position of Research Fellow in the Department of Computer Science, School of Computing (SoC). SoC is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights in developing novel computational solutions to a wide range of applications, building largescale experimental systems, developing theories and policies for effective management of information systems in organizations, and improving the well-being of society. We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and Information Systems.

The Research Fellow will be responsible for working closely with the Principal Investigator on one or more research projects. 

Only shortlisted applicants will be notified.

Job Requirements

• A PhD degree in Computer Science or related field
• Experience in research and Good publication record
• Strong development skills

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.

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

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28Digital-Twin-FOWT%29/32459-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The research aims to develop an online framework for assessing fatigue, structural integrity, and operability of multiple floating offshore wind turbines, supported by computationally efficient learning algorithms with predictive (prognostic) capabilities. The system enables prescriptive decision-making that can be integrated with operation and maintenance strategies. The research staff will work in a multi-disciplinary team on the engineering analysis and design of the floating offshore wind turbine supporting structures, with close collaboration with members from other research institutes in Singapore. 

He/ she will be required to:
-    Develop computationally efficient learning algorithm adaptable for online fatigue and integrity assessment, which includes prognosis approach for predictive analytics.
-    Develop prescriptive fatigue and integrity assessments integrable with operation/maintenance strategy.
-    Coordinate research progress with other research teams in the entire research team

Job Requirements

•    Applicants should have a PhD degree in civil or mechanical engineering or related disciplines 
•    Possess fundamental knowledge in fatigue and fracture, structural integrity assessments and data driven machine learning algorithms.
•    Has laboratory experience in designing, conducting, and instrumenting structures. 
•    Strong written and spoken communications. 
•    Open to fixed-term contract