Total 233 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-Fellow-%28AEM%29/33293-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

This project aims to model the structural response of reinforced concrete structures under different impact loading conditions. The eventual structural response ranges from having localized damaged components, to a partial or total collapse of the building.   

The candidate is expected to:

•    Perform a thorough literature review of available data and available modelling methods that can reproduce a realistic collapse scenario
•    Develop a systematic modelling approach for the selected modelling platform
•    Validate the modelling approach
•    Perform numerical parametric studies and develop design guidelines for structural robustness  

Job Requirements

•    Possess a PhD degree in a relevant field, with demonstrated experience in the following:
•    Structural robustness and progressive collapse of RC structures.
•    Modelling of structural response under column loss scenarios.
•    Large deformation kinematics of rigid bodies. 
•    Strong written and spoken communications. 
•    Open to fixed-term contract.

Hiring Teacher to teach:

• GCE O Level Mathematics
• GCE O Level Additional Mathematics

Location: Kovan Campus

Working hours: Mon-Fri 8.30am to 5.30pm

Salary range: $3000 to 3800 per month (commensurate with experience)

Responsibilities:

• Prepare and conduct lessons according to the course syllabus and scheme of work
• Provide necessary supervision to the students and report students’ discipline issues to the Student Affairs staff
• Schedule and prepare examination papers and assignments
• Monitor the performance and progress of each student, including academic counselling
• Give feedback to Management about the continual improvement of the class performance
• Mark and grade all course work, assignments and examination papers
• Give feedback to Management on the course proceedings at the end of semester/course/modules
• Participate in programme review meetings

Requirements:

• Minimum a Bachelors Degree
• At least 1 year of relevant experience

HOW TO APPLY:

Please send in your resume to: HR@DIMENSIONS.EDU.SG & indicate in the subject as "Secondary Math Teacher".

We regret that only shortlisted candidates will be notified.

School of Electrical and Electronic Engineering is one of the founding Schools of the Nanyang Technological University. Built on a culture of excellence, the School is renowned for its high academic standards and research. With over 3,000 undergraduates students and 2,000 graduate students it is one of the largest EEE schools in the world and ranks 4th in the field of Electrical & Electronic Engineering in the 2025 QS World University Rankings by Subjects.

Today, the School has become one of the world’s largest engineering schools that nurtures competent engineers and researchers. Each year, the School graduates over a thousand students who are ready to take on great ambitions and challenges.

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

We are looking for a Research Fellow to support research and development activities in power electronics and energy systems. The role involves designing, developing, and testing advanced power electronic converters and control systems for applications such as renewable energy integration, energy storage, and smart grids. The Research Fellow will also contribute to research proposal preparation, project execution, and dissemination of research outcomes.

Key Responsibilities:

• Conduct research and development in power electronics converters, control, and energy systems.

• Design, simulate, and develop power electronic converter prototypes and associated control algorithms.

• Perform experimental testing, data analysis, and performance evaluation of power electronic systems.

• Develop simulation models using tools such as MATLAB/Simulink, PLECS, or PSCAD.

• Support the design, integration, and testing of laboratory prototypes and hardware setups.

• Contribute to research proposal preparation, including literature review, technical writing, and development of project ideas.

• Assist in technical reporting, documentation, and publication of research outcomes in journals and conferences.

• Collaborate with research team members, students, and industry partners.

• Support supervision of graduate students and research assistants when required.

• Ensure proper laboratory safety practices and equipment maintenance.

Job Requirements:

Qualifications

• PhD degree in Electrical Engineering, Power Electronics, or a related field.

• Strong background in power electronics, converter design, and control systems.

• Experience with simulation tools such as MATLAB/Simulink, PLECS, PSCAD, or equivalent.

• Experience in hardware prototyping, testing, and laboratory experimentation is preferred.

• Prior experience in research proposal writing or technical grant preparation is an advantage.

Competencies

• Strong analytical and problem-solving skills.

• Ability to work independently and collaboratively in a research environment.

• Good technical writing and communication skills.

• Ability to manage multiple research tasks and deadlines.

• Strong interest in renewable energy systems, power electronics, and sustainable energy technologies.

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

The School of Civil and Environmental Engineering (CEE) is a leading school for Sustainable Built Environment.

The School plays an integral role in spearheading tertiary education, advancing research innovations and providing professional services in a number of key disciplines in Civil and Environmental Engineering and Maritime Studies fields, with the objective of contributing to the technological and economic advancement of Singapore and beyond.

The School’s mission in research is to achieve excellence by providing a conducive and intellectually stimulating environment to enable high quality work in strategic directions that are of significant impact to industry, science and technology.

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

We are looking for a Research Engineer I to join a CITIES OF TOMORROW (CoT) R&D project for VERTICAL 5: CITY IN NATURE. The project plays a pivotal role in ensuring a resilient urban environment against climate change and contributes to NTU strategic research in Resilient Urbanisation & Natural Ecosystems that is aligned with Singapore’s national Research, Innovation and Enterprise 2025 plan.

Key Responsibilities:

• Assist in field and laboratory tests

• Develop test protocols

• Compile test data and maintain database

• Conduct analysis and evaluation

• Assist to prepare budgets, reports and papers

Job Requirements:

• Bachelor’s degree in relevant discipline or related field

• Ability to work both indoors and outdoors

• Good written and oral communication skills for report writing

• Knowledge of software like Python and 3D modelling software will be an advantage.

• Class 3 driving license (Singapore) will be an advantage.

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

Job Summary

Kaneko Optical is a luxury eyewear brand from Japan, delivering heartful service with a straightforward work style. Learn to develop expert adjustment and refraction skills whilst supporting daily retail operations in a brand-focused environment.

Responsibilities

• Apply advanced frame adjustment techniques such as polishing and integrating fixed nosepads to maintain high-quality eyewear standards
• Continuously improve refraction skills through ongoing training
• Manage daily retail operations eg. stock inventory control, maintaining store cleanliness
• Deliver consistent, brand-focused customer service and support business growth
• Uphold Kaneko Optical’s brand values by focusing exclusively on one lens brand and handcrafted frames without commission-based sales pressure

Required competencies and certifications

• Pre/Full-Registered optician (D+R) with the Opticians Board (OOB)

Preferred competencies and qualifications

• Strong teamwork skills to contribute positively to a collaborative retail environment

Other Information

• Location: Ngee Ann City
• Working Hours: 9 hours per day (excluding 1-hour undisturbed break)
• Leave: 8 days off per month; 10 annual leave days (increasing by 1 per year, capped at 14)
• Salary: $2500 to $4000

Benefits:

• Full OOB License Fee support
• Medical expenses coverage
• Annual Wage Supplement (AWS)
• Performance Bonus

Interested applicants please contact: Eunice

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-%28Cancer-Science-Institute%29/33300-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The Research Fellow will have opportunities to work with well-characterised clinical samples, state-of-the-art laboratory platforms, and an extensive network of local and international collaborators while contributing to high-impact publications and future clinical translation.

Key Responsibilities

• Design, plan, and execute independent research projects aligned with the laboratory's scientific objectives.
• Investigate mechanisms by which DNA damage and DNA repair defects influence innate and adaptive immune responses in cancer.
• Study immunogenic cell death, cytosolic nucleic acid sensing pathways, and tumour immune microenvironment modulation following genotoxic chemotherapy.
• Develop and optimise molecular and cellular assays related to DNA repair, immune activation, and cancer biology.
• Perform and interpret experiments using cell line models of epithelial and lymphoid malignancies.
• Apply quantitative microscopy and histopathological imaging techniques to investigate immune modulation pathways in human tumour samples.
• Analyse and interpret complex experimental datasets using appropriate statistical and computational approaches.
• Collaborate with clinicians and translational researchers to analyse patient-derived clinical specimens and develop clinically relevant biomarkers.
• Contribute to the design and evaluation of novel chemotherapy-immunotherapy combination strategies.
• Prepare manuscripts for publication in peer-reviewed journals and present findings at scientific conferences.
• Assist in preparing research grant applications and progress reports.
• Mentor graduate students, research assistants, and junior laboratory members where appropriate.
• Contribute to laboratory management, protocol development, and maintenance of high standards of scientific integrity and research compliance.
• Foster a collaborative, respectful, and inclusive research culture.

Qualifications

• PhD in Cancer Biology, Immunology, Molecular Biology, Cell Biology, Biomedical Sciences, Genetics, or a related discipline.
• Strong publication record in peer-reviewed scientific journals.
• Demonstrated expertise in one or more of the following:DNA damage response and DNA repair biologyCancer immunologyMolecular and cellular biologyImmunofluorescence and quantitative microscopyFlow cytometryCRISPR/Cas9 genome editingGenomic and transcriptomic analysesCancer cell culture and functional assays
• Experience working with animal models and/or human clinical specimens would be advantageous.
• Familiarity with bioinformatics or computational analysis of biological datasets is desirable.
• Excellent scientific writing, presentation, and communication skills.
• Ability to work both independently and collaboratively within multidisciplinary 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-AssistantAssociate-%28QC-Analytical-Chemist%29/28267-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for Research Assistant/ Research Associate (QC Analytical Chemist) in the Department of Clinical Imaging Research Centre (CIRC) Yong Loo Lin School of Medicine. CIRC is a dedicated molecular imaging research centre. It is equipped with on-site capability for the preparation of PET radiopharmaceuticals in a state-of-the-art GMP-certified facility. CIRC is positioned to support both academic and commercially led clinical research programs, with dedicated clinical imaging facilities area advanced modalities of PET-CT and PET-MRI. For more details on what we do, do visit https://medicine.nus.edu.sg/circ/. Appointments will be made on a two-years contract basis with the possibility of extension.

Purpose of the post

The QC Analytical Chemist will be responsible to, and work closely with Head of QC, to ensure the successful and safe release of radiopharmaceuticals manufactured at CIRC. The QC Analytical Chemist’s principal role will be to perform all quality control tests required by pharmacopeia. Alongside with maintaining the inventory of raw materials, maintenance of equipment and all the necessary documentation required for the QC laboratory in compliance to PIC/S GMP.

Main Duties and Responsibilities

The QC Analytical Chemist will be responsible for:

• Performing routine QC release testing (HPLC, GC, radioTLC etc) on radiopharmaceutical to ensure quality and safe for clinical use in compliance with PIC/S GMP requirements.
• Support routine QC operations such as daily equipment checks, monthly standard calibration, documentation activities.
• Conducting routine microbial testing activities such as microbial plate incubation, sterility testing, bioburden testing, etc and liaising with third party contractors if required.
• Managing raw materials, including inventory control, purchasing, receipt and status tracking of raw materials.
• Developing and validating QC test methods for the radiopharmaceutical QC release testing.
• Assisting in preparation and maintenance of Standard Operating Procedures (SOPs), Work Instructions (WIN), Recordsheets (REC), etc and fill in Batch Manufacturing Records (BMR).
• Supporting in the managing of equipment in the QC and Metabolite laboratories, including qualification, operation, maintenance, cleaning, calibration and re-qualification activities.
• Supporting Production in Research & Development activities when required.
• Maintaining cleanliness and housekeeping within QC laboratories, raw material storage areas, and the cyclotron facility.
• Handling chemical and biohazard waste disposal activities for QC department in accordance with safety and regulatory requirements.
• Adhering to the university’s safety and health policies and guidelines.
• Performing environmental monitoring activities in cleanroom facilities, including environmental and airborne particle sampling, when required
• Undergoing cross-training to support routine radiopharmaceutical manufacturing activities in Production, where necessary.
• Any adhoc duties assigned in support of departmental and operational needs

Physical Demands and Work Environment

Personnel should be comfortable with:

• exposure to radiation when handling radioactive samples.
• handling of chemicals for QC testing (flammables, acids, and bases).
• Handling chemical and biohazard waste
• Occasion lifting heavy objects such as lead shield containment (lead pots)
• Comfortable with routine and repetitive work
• Standard working hours with occasional overtime

Qualifications

The applicant should:

(a) Have a minimum of BSc degree in Chemistry, Biochemistry, pharmacy or a related field;

(b) Good knowledge and experience on GMP (Good Manufacturing Practice) or GLP (Good Laboratory Practice);

(c) Preferably hands-on experience with operating and maintaining analytical instruments such as HPLC, GC, and also aseptic isolator for sterility testing.

(d) Have good analytical processing skills, as well as,

(e) Have good critical thinking and proactiveness at work

Remuneration will be commensurate with the candidate’s qualifications and experience.

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

We regret that only shortlisted candidates will be notified.

R&D & Robotics Manager

Responsible for driving innovation, automation, and digital transformation initiatives across the Company's construction operations. Identifying, evaluating, developing, and implementing construction technologies, robotics, AI solutions, and productivity-enhancing systems to improve safety, quality, efficiency, and sustainability.

Lead research and development projects, collaborate with project teams, technology partners, government agencies, and academic institutions, and oversee the deployment of robotics and advanced technologies on construction sites.

Research & Development (R&D)

• Develop and execute the Company's innovation and technology roadmap aligned with business objectives.
• Conduct research on emerging construction technologies, robotics, AI, IoT, BIM, DfMA, and automation solutions.
• Identify opportunities to improve productivity, quality, safety, and cost efficiency through innovation.
• Lead feasibility studies, proof-of-concept (POC), pilot testing, and implementation of new technologies.
• Evaluate technology investments and prepare business cases with ROI analysis.

Robotics & Automation Management

• Lead the deployment and management of construction robotics and automated equipment.
• Evaluate, select, and implement robotic solutions for site operations such as: Rebar tying robots, Layout marking robots, Inspection drones, Autonomous surveying equipment, Concrete finishing robots, Material handling and logistics automation.
• Monitor robotics performance and optimize operational effectiveness.
• Develop SOPs and maintenance plans for robotic systems.

Project Management

• Manage innovation projects from conceptualization through implementation.
• Coordinate with consultants, suppliers, vendors, technology providers, and stakeholders.
• Monitor project schedules, budgets, deliverables, and performance outcomes.
• Ensure projects are completed within approved timelines and budgets.

Government Grants & Industry Collaboration

• Identify and secure funding opportunities from BCA, Enterprise Singapore, and other government agencies.
• Prepare grant applications, project proposals, and supporting documentation.
• Manage grant compliance, reporting requirements, and project audits.
• Establish partnerships with research institutes, universities, and technology providers.

Training & Change Management

• Conduct training and awareness programs on new technologies and robotics systems.
• Support operational teams during technology implementation and transition.
• Promote a culture of innovation and continuous improvement throughout the organization.

Compliance & Safety

• Ensure all robotics and automation systems comply with regulatory, safety, and operational requirements.
• Conduct risk assessments for technology implementation and site deployment.
• Work closely with WSH teams to ensure safe operation of automated equipment.

About Company

Founded in 2022, XG Tech is driving the future of smart vehicles. Its mission is to empower the digital transformation of automobiles, moving from distributed computing to a centralized, cross-domain platform.

XG Tech focuses on the intelligent cockpit—the next frontier of differentiation—while seamlessly integrating advanced driving systems. By reimagining cars as mobile living spaces, XG Tech aligns with the evolving trend of vehicles becoming the “third living space.”

Role Summary
As a Research Scientist (AutoResearch on LLM), you will focus on cutting edge AI-Driven AI development using Autoresearch(Automated MachineLearning) for Large Language Models (LLM). You will design and deploy automated research frameworks that autonomously discover. optimize, and train the next-generation LLM architectures. You will bridge the gap between hardware constraints and model design ensuring that the automatically optimized architectures achieve or exceed the pre-training efficiency and downstream performance of state of the art established base models

Key Responsibilities

• Design, build and scale automated search and optimization systems (Such as Neural Architecture Search, evolutionary algorithms, or LLM-driven research agents) to autonomously discover optimal LLM architectures
• Analyze and integrate hardware level constraints (e.g. tensor parallel limits, memory bandwidths, latency, cache hierarchies, FLOPs, and energy efficiency of target silicon) into the optimization loop
• Scale up discovered architectures to perform large-scale pre-training. Ensure the final models meet to exceed the performance, training efficiency, and convergence rate of existing top-tier foundation models
• Develop accurate, cost effective proxy task, evaluation protocols, and scaling laws to predict full-scale LLM performance from early-stage automated search limits
• Collaborate closely with chip architects, system/compiler engineers, and foundation model researchers to co-optimize hardware execution efficiency and model training algorithms
• Stay at the forefront of AutoML, hardware-software co-design, and LLM pre-training literature, contributing to peer-reviewed publications and IP generation where applicable

How will you stand out

• Master's or PhD degree in Computer Science, Electrical Engineering, Applied Mathematics, or a related quantitative field with a focus on Deep Learning
• Strong research background in LLM pre-training, Transformer architectures, and scaling dynamics
• Hands-on experience with AutoResearch, AutoML, automated optimization algorithms, or using AI agents/LLMs for automated scientific discovery
• Solid understanding of GPU/accelerator architectures, memory hierarchies, parallel training strategies(tensor, pipeline, data parallel) and hardware performance profiling
• Production grade coding skills in Python and deep learning frameworks (e.g. Pytorch, JAX, Megatron-LM, Deepspeed).
• Demonstrated experience in training, scaling and evaluating large scaling models from scratch
• Having first author publications in top tier machine learning or system conferences (e.g. NeurIPS, ICML, ICLR, ASPLOS, ISCA, MLSys) is preferred
• Experience writing custom kernels (e.g. Triton, CUDA) or working with machine learning compilers are preferred
• Direct experience working with silicon/chip design teams to customize model architectures for specific ASIC/GPU/FPGA constraints.
• Experience building self improving AI Loops or automated coding research assistants

XG Tech is committed to providing equal employment opportunities by country, state, and local laws. XG Tech does not discriminate against employees or applicants based on conditions such as race, color, gender identity and/or expression, sexual orientation, marital and/or parental status, religion, political opinion, nationality, ethnic background or social origin, social status, disability, age, indigenous status, and union.

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

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28Coastal-modelling-with-AI%29/33271-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The Research Fellow (RF) will conduct research in the field of coastal dynamics, with a focus on the development and application of machine-learning-enhanced coastal models. The project aims to advance nearshore hydrodynamic modelling by integrating data-driven and physics-based approaches for simulating wave propagation, wave transformation, and wave–current interaction from deep water to shallow coastal environments.

The successful candidate will work on developing and improving depth-integrated, phase-resolving coastal models, with machine learning techniques incorporated to enhance model accuracy, efficiency, parameterisation, uncertainty quantification, and/or surrogate modelling. The research may involve the use of observational, experimental, or high-fidelity numerical data to train, validate, and improve model performance.

The developed model will be applied to coastal engineering problems, including wave transformation, nearshore circulation, and extreme coastal processes. Depending on the project needs, the model may also be coupled with high-resolution CFD models to enable multi-scale coastal process modelling.

Job Requirements

•    Possess a PHD in related field such as coastal and ocean engineering. 
•    Preferably with experience and knowledge in numerical modelling, hydrodynamics, wave theories, and artificial intelligence. 
•    Strong written and spoken communications. 
•    Strong quantitative skills. 
•    Having pior good publication record is advantageous.
•    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-%28Sustainable-Composite-Materials-for-Coastal-Infrastructure%29/33280-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore is seeking a motivated Research Fellow to join an applied research project on bio-based Fiber Reinforced Polymer (FRP) composites for low-carbon corrosion protection of steel structures in severe marine environments.

The project aims to develop and validate sustainable FRP systems derived from bio-based resins as a next-generation solution for protecting coastal and marine infrastructure. The Research Fellow will work closely with a multidisciplinary team from NUS and industry partner Fyfe Asia Pte Ltd, contributing to laboratory testing, durability assessment, field exposure studies, and life-cycle evaluation of bio-based FRP technologies.

The successful candidate will have the opportunity to work on a high-impact national research project aligned with Singapore’s coastal protection, infrastructure resilience, and sustainability goals. This role offers strong exposure to industry collaboration, applied materials research, marine durability testing, and technology translation.

Key responsibilities include:

•    Conduct material characterization of bio-based FRP composites, including mechanical and physical property testing.
•    Design and perform durability tests under simulated marine conditions, including salt spray, water resistance, UV exposure, chemical resistance, accelerated aging, and long-term exposure studies.
•    Evaluate the corrosion protection performance of FRP-wrapped steel and compare it with conventional protection methods such as coatings and galvanizing.
•    Support field investigations and exposure testing at coastal or marine test sites.
•    Analyze experimental data and develop service-life insights for FRP-protected steel structures.
•    Assist in life-cycle cost and carbon emission assessments comparing bio-based FRP with conventional FRP and traditional corrosion protection technologies.
•    Prepare technical reports, research publications, presentations, and project deliverables.
•    Collaborate with academic researchers, industry partners, and relevant stakeholders to support technology validation and translation.

Why Join Us?
This is an opportunity to contribute to a timely and impactful research project addressing one of the most pressing challenges for coastal cities: protecting critical infrastructure in harsh marine environments while reducing carbon emissions. You will work with a multidisciplinary academic-industry team, gain hands-on experience in advanced FRP materials and marine durability research, and help translate sustainable materials technology into real-world coastal protection applications in Singapore and beyond.

Job Requirements

•    Possess a PhD in Civil Engineering, Materials Science and Engineering, Mechanical Engineering, or a closely related discipline.
•    Strong background in one or more of the following areas:
     - FRP composites or polymer-based materials/
     - Corrosion protection of steel structures/
     - Marine durability of construction materials/
     - Sustainable construction materials/
     - Structural materials testing/
•    Familiarity with relevant standards such as ASTM, ISO, ACI, ABS, or equivalent testing and design guidelines would be advantageous.
•    Ability to conduct independent research, analyze data rigorously, and prepare high-quality technical reports and publications.
•    Good communication skills (Written and spoken) and the ability to work effectively in a multidisciplinary team involving university researchers and industry partners.
•    Open to fixed-term contract. 

1) Provides a professional level of executive support to Management staff to ensure that work functions operate as seamlessly as possible

2) Handles incoming and outgoing email correspondence effectively

3) Drafts and prepares written correspondence effectively

4) Follows through on all outstanding matters ensuring that open issues are effectively resolved

5) Ensures that all invoices, etc. have the necessary approvals before following through on payments

6) Assist and administer HR Matters and documents

7) Performs duties in a highly conídential and ethical manner

8) Any other duties as may be assigned.

· Liaise and meet up with clients and government agencies.

· Screen potential business deals by analyzing market strategies, deal requirements, potential, and financials; evaluating options; resolving internal priorities.

· Identify trendsetter ideas by researching industry and related events, publications, and announcements.

· Develop negotiating strategies and positions by studying integration of company strategies and operations; examining risks and potentials in educations partner’s needs & goals;

· Identify, explore and pursue new business opportunities

Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a leading college that is known for its excellent curriculum, outstanding and impactful research, and world-renowned faculty.

A hot bed of cutting-edge technology and groundbreaking research, the College aims to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and grow. We welcome you to join our community of faculty, students and alumni who are shaping the future of AI, Data Science and Computing.

Key Responsibilities:

• Conduct research on 3D/4D scene reconstruction and rendering (e.g., NeRF, 3D Gaussian Splatting, novel view synthesis) and on scene understanding and interaction.

• Develop generative AI for video and 3D/4D generation, world models, and vision-language models (VLMs) / vision-language-action (VLA) systems, with supporting large-scale data pipelines.

• Publish in top-tier venues, contribute to open-source releases, mentor junior researchers, and report project progress.

Job Requirements:

• Master’s degree in Computer Science, Computer Engineering, Electronics Engineering, AI, Machine Learning or equivalent.

• Strong research record in computer vision / machine learning, with solid programming skills (e.g., Python, PyTorch) and demonstrated ability to conduct innovative research.

• Independent, highly analytical, proactive and a team player

• Excellent teamwork and verbal, written communication skills

• In-depth knowledge relevant to the project domain.

• Demonstrated capability to conduct innovative research.

• The ability and willingness to adapt and incorporate novel ideas and approaches in scientific industry.

• Demonstrated ability to formulate hypothesis and design effective experimental plans.

• Ability to design and implement new experimental methods.

• High-level expertise in the required experiment or modelling methods.

• Ability to initiate collaboration research in multidisciplinary team.

• Oversee and report project progress.

• Ability and willingness to work some flexible hours.

We regret that only shortlisted candidates will be notified.

Young and research-intensive, Nanyang Technological University, Singapore (NTU Singapore) is ranked among the world’s top universities. NTU’s College of Computing and Data Science (CCDS) is a leading college that is known for its excellent curriculum, outstanding and impactful research, and world-renowned faculty.

A hot bed of cutting-edge technology and groundbreaking research, the College aims to groom the next generation of leaders, thinkers, and innovators to thrive in the digital age. Located in the heart of Asia, NTU’s College of Computing and Data Science is an ‘exciting place to learn and grow. We welcome you to join our community of faculty, students and alumni who are shaping the future of AI, Data Science and Computing.

Key Responsibilities:

• Assist in conducting research on cybercrime and AI-enabled threats using large language models (LLMs), artificial intelligence techniques, and empirical security analysis methods.

• Support the design and implementation of research prototypes and tools for AI-driven cyber threat analysis, malicious activity detection, and cybercrime measurement.

• Collaborate with academic and industry partners by assisting in project-related research tasks, experiments, documentation, and technical discussions in cybercrime and AI security research.

• Support the preparation of research outputs, including literature reviews, experiment summaries, technical reports, figures, tables, and manuscript drafts for academic publication.

• Assist in proposal preparation and grant-related documentation in areas such as cybercrime, AI-driven cybercrime measurement, and AI security.

• Assist in building and maintaining experimental platforms, benchmarks, and datasets for cybercrime measurement, threat analysis, and LLM security.

Job Requirements:

• A Bachelor degree in Computer Science, Cyber Security, or a related discipline.

• Research or applied experience in cybercrime measurement, AI-enabled cybercrime analysis, or LLM security through coursework, projects, internships, or research activities.

• Knowledge of cybercrime concepts and LLM prompt techniques.

• Proficiency in programming languages such as Python, C/C++, and Java.

• Familiarity with vulnerability analysis, network analysis, and cybercrime comprehension techniques through coursework, projects, or hands-on practice.

• Ability to support academic writing and research outputs, including literature reviews, technical reports, experiment summaries, and manuscript preparation for international conferences.

We regret that only shortlisted candidates will be notified.