Total 47 Education / Training job vacancies

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 Associate to conduct life-cycle assessment on solid waste treatment and management systems.

Key Responsibilities:

• Design and implement experimental studies on solid waste treatment processes, including rigorous data analysis and comprehensive technical evaluation.

• Integrate experimental findings with quantitative modeling and life-cycle assessment (LCA) to assess system performance and environmental impacts.

Job Requirements:

• Master’s degree in Geotechnical Engineering, Environmental Engineering or related field

• At least 1 year of relevant experiences in life-cycle assessment

• 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.

We are seeking a highly motivated Research Engineer to join the NTU-Hyundai Motor Group Innovation Center Singapore (HMGICS) Corporate Lab. The successful candidate will lead the development and integration of advanced optical sensing and machine vision systems for Body-in-White (BIW) surface inspection in automotive manufacturing.

Key Responsibilities

• Design, develop and integrate optical sensing and machine vision systems for surface defect inspection.

• Support the setup, calibration and validation of imaging and measurement platforms.

• Conduct experiments, analyse system performance and recommend technical improvements.

• Collaborate with researchers, industry partners and vendors on system development and implementation.

• Develop testing protocols, maintain technical documentation, and prepare project reports and presentations.

• Support research activities, technology evaluation, and innovation initiatives related to industrial inspection systems.

Requirements

• Bachelor's degree in Mechanical Engineering, Electrical Engineering, Optical Engineering, Mechatronics, Robotics, or a related discipline.

• Knowledge of machine vision, optical instrumentation, sensing technologies, industrial automation, or related areas.

• Experience with imaging systems, sensors, system integration, experimental testing, or measurement systems will be advantageous.

• Familiarity with image processing, computer vision, Python, MATLAB, C++, LabVIEW, or equivalent tools is preferred.

• Strong analytical, problem-solving, communication, and project coordination skills.

• Ability to work effectively both independently and within multidisciplinary teams.

We regret to inform 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:

• Designing and developing scalable algorithms for building Data+AI systems.

• Writing research papers of high quality based on research results

• Building deployable Data+AI systems based on the research results.

Job Requirements:

• Preferably PhD in Computer Engineering, Computer Science, Electronics Engineering or equivalent.

• 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.

The School of Chemistry, Chemical Engineering and Biotechnology (CCEB) at NTU Singapore, in collaboration with Wageningen University & Research (WUR), is part of Singapore Indoor Farming System (SingFarm)—a CREATE-NRF programme focused on building a sustainable, data-driven food production model with strong industry relevance to contribute Singapore’s ambition in achieving 20 per cent local production of its fiber (vegetables, mushrooms etc.) by 2035. The candidate would be working in a multinational team at the forefront of Singapore’s agricultural innovation and food security.

The successful candidate will work in Work Package 3.3: Urban Demo Lab. In this role, you help translate research results from across the program into demonstrators and settings for collaborative exploration that allow key stakeholders to engage with emerging food production technologies – and each other. The Urban Demo Lab serves as a platform where researchers, industry partners, and other stakeholders explore applications, provide critical design feedback and identify opportunities for further innovation: it serves as an attractor for future projects and strategic alliances that maximize the urban impact of ongoing research and development.

As an innovation facilitator, your work provides the active interface that is needed between research, technology translation, and stakeholder engagement. By stimulating dialogue and collaborative learning, you identify critical friction zones and promising ways forward, effectively accelerating the uptake of scientific innovations in real-world applications.

Key Responsibilities:

• Collaborate with research teams to identify key elements of research suitable for demonstration.

• Facilitate workshops, meetings, and stakeholder sessions to explore research outcomes, gather feedback, and identify innovation opportunities.

• Translate scientific insights into demonstrators, prototypes, or other formats such as an overall performance dashboard that communicate application potential to diverse audiences.

• Contribute to identifying and engaging potential partners or funders interested in further development of promising ideas.

Job Requirements:

• Completed PhD in a relevant field (e.g., food systems, food production, sustainability transitions or related fields).

• Systems thinker with an interest in innovation in food production and controlled environment agriculture

• Experience translating scientific research into practical applications, demonstrators or stakeholder-facing outputs.

• Excellent communication skills and ability to work across disciplinary and organizational boundaries.

• Experience facilitating interdisciplinary collaboration, workshops, or stakeholder engagement is an advantage.

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

We regret that only shortlisted candidates will be notified.

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:

• Original Research & Experimentation: Designing, adapting, and executing scientific studies, mathematical models, or laboratory experiments.

• Project Management & Grants: Overseeing specific research projects, managing budgets, and assisting Principal Investigators (PIs) in writing competitive grant proposals.

• Scholarly Output: Publishing research in peer-reviewed journals, presenting at international conferences, and developing patent disclosures.

• Mentorship: Assisting the PI in supervising junior researchers, postgraduates, and undergraduate students.

• Collaboration: Partnering with industry stakeholders, government agencies, and other academic institutions to translate research into viable solutions.

Job Requirements:

• Preferably PhD in Computer Engineering, Computer Science, Electronics Engineering or equivalent.

• 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.

School of Civil and Environmental Engineering (CEE) is a leading school for sustainable built environment. The key objective is to support efforts to spearhead tertiary education, advance research innovations and provide professional services.

We are looking for a Research Fellow to work on an on-going project on risk analysis of subdaily rainfall events. The role will focus on rainfall network and statistical analysis, rainfall extreme evaluation, and climate change impact assessment.

Key Responsibilities:

• Carry out research works on rainfall analysis, network construction, and climate change impact assessment

• Publish journal papers

• Coordinate with other research staff or students in project discussions and deliverables
  

Job Requirements:

• PhD in Water Resources Engineering, Hydrology, or related fields

• A good academic publication record

• Familiar with a few key engineering software such as MATLAB, Python, R-language, and ArcGIS, etc.

• Good to have knowledge of network analysis, machine learning, neural networks, rainfall analysis, or multivariate statistical analysis skills

• Working experience is not required but some post-doc experience will be a plus
  

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

We are looking for a research engineer to customize and make our ground penetrating radar market ready. The role will focus on the hardware side of the project which involves the miniaturization of the GPR, antenna fabrication and integration, product improvement and customization for the market.

Key Responsibilities:

• Ground penetrating radar miniaturization, customization and integration

• Improve the product performance and make the product more appealing to the market

• Interact and coordinate with industry and customers to provide a service

• Present the product and explain the product well

• Help to raise funds for a spin-off and do marketing for the product.

• Other administrative duties as required.

Job Requirements:

• Bachelor qualification degree in Electrical and Electronic Engineering or related field

• At least some of relevant experiences in similar role / technical hands-on experience in hardware integration

• Familiarity with funding system in Singapore

• Good written and oral communication skills

• Proficiency in hardware integration, system programming

• Competent in hands-on work, presentation and fund raising.

• Interpersonal skill such as develop solutions under strict timelines, meticulous and eye for details / excellent organizational / time management skills.

• Entry level candidates are welcome to apply

We regret to inform 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:

• 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:

• To conduct independent research in quantum algorithm design.

• To seek and demonstrate practical utility of using AI for automating quantum algorithm design.

• To analyze complex wave-based physical systems and their high-dimensional parameter spaces in the context of quantum algorithm design.

• To produce publications in top conferences and journals.

• To offer guidance and assistance to any students involved in the project.

• To collaborate with industrial and academic partners.

• To collaborate with interdisciplinary teams, including experts in physics, chemistry, and those who work on quantum computing hardware.

• To perform any other duties related to the research program.

Job Requirements:

• Preferably Bachelor’s degree in Physics, Computer Science, Engineering, Mathematics, Machine Learning or relevant fields.

• Experience in interdisciplinary research involving physics, deep learning, and mathematics is preferred.

• Strong theoretical background in physics, quantum many-body physics, quantum algorithms, or closely related areas in complex physical systems (e.g., optics, photonics, or wave-based systems).

• Good programming skills in Python. Familiarity with scientific computing frameworks (e.g., PyTorch, TensorFlow, or quantum computing toolkits such as Qiskit or PennyLane) will be an advantage.

• Experience in quantitative modelling, optimization methods, or the analysis of complex physical systems is preferred.

• Capable of handling multiple tasks across projects and research activities.

• Show excellent communication skills, and willingness to learn.

• Able to excel as an effective team member.

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:

• Conduct independent and collaborative research on 3D reconstruction and generation, 3D digital human modeling, and video synthesis/editing.

• Publish research outcomes in top-tier journals and conferences.

• Mentor and supervise junior researchers and interns involved in related projects.

• Collaborate with industrial and academic partners.

• Perform any other duties related to the research program.

Job Requirements:

• Preferably PhD in Computer Engineering, Computer Science, Electronics Engineering or equivalent.

• Independent, highly analytical, proactive and a team player

• Excellent teamwork and verbal, written communication skills

• In-depth knowledge relevant to 3D reconstruction, digital human modeling, and video generation.

• 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 3D reconstruction, digital human modeling, or video generation 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:

• Read, understand, and summarize the latest literature on diffusion models, especially their use in sampling from un-normalized probability distributions

• Read, understand, and summarize the latest literature on inference in state-space models with particle filters

• Devise, implement, and inspect theoretical properties of new methods for inference using diffusion models

• Publish results in reputable international journals and conferences

• Present results and establish new research networks at reputable international conferences

• Participate in internal events (reading groups, seminars, etc.) as required

Job Requirements:

• Preferably Master’s degree in Computer Engineering, Computer Science, Electronics Engineering or equivalent.

• 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.

Job Description

• Deliver engaging theoretical and practical training aligned with CAAS standards.
• Lead flight demonstrations and practical assessments at training sites.
• Provide clear instruction on drone safety, flight planning, airspace classification, meteorology, and emergency procedures.
• Adapt training methods to suit individual learning styles and skill levels.
• Evaluate trainee performance and provide detailed feedback and guidance.
• Assist in updating training materials and ensuring course content remains current with evolving drone regulations and technology.
• Maintain accurate student records, reports, and certification tracking.
• Assist Head of Training to ensure successful yearly renewal of UATO & UABTO statuses
• Explore and if capable, take on other training roles within the company.

Requirements

• Certified drone piloting licence - UAPL cert with no limitations category is preferable.
• Experience delivering structured drone training or relevant training is useful.
• Understanding of aviation law, safety protocols and regulations is useful.
• Strong communication, facilitation, and interpersonal skills.
• Comfortable working outdoors in varied conditions for practical sessions.
• Willing to work selected week nights and alternate weekends for training classes.
• Location: Shan Road

The Climate Transformation Programme (CTP) aims to develop, inspire and accelerate knowledge-based solutions and educate future leaders to establish the stable climate and environment necessary for resilient, just, and sustainable Southeast Asian societies.

CTP will generate knowledge and innovation across disciplines including climate and Earth science, ecology, materials science, artificial intelligence, humanities, social sciences and the arts, finance, health, and engineering. It will also translate state-of-the-art scientific results into real world solutions for Singapore, and it will transfer these solutions to Southeast Asia (SEA) and beyond.

As part of this programme, Research Cluster 4: Novel engineering solutions for climate impacts, will explore engineering solutions to adapt to sea-level rise and climate-constrained water resources. The CTP research programme is summarised here: https://earthobservatory.sg/research/climate/climate-transformation-programme>.

The Research Fellow will be based in School of Civil and Environmental Engineering (CEE) and will be expected to work effectively for advancing the engineering solutions to mitigate the climate change impact which focus on new design concepts for seawalls and coastal defence systems. The position is expected to perform independent and collaborative research to meet the project objectives, to develop new solutions, to assist the management work of the project’s daily operation to facilitate the success of the project, and to publish high-quality journal papers to promote the international reputation of the university,

Key Responsibilities:

The Research Fellow will be responsible for:

• Conduct in-depth research on flexible seawall design and construction, considering durability, environmental impact, and cost-effectiveness.

• Conduct laboratory experiments to test the performance of flexible seawall in flume test.

• Perform numerical study of the model test. Analyze and interpret data to make informed recommendations for costal protection system design and optimization

• Writing and publication of results in high-quality peer-reviewed journals

• Writing project progress reports

• Assist in the daily project operation management.

Job Requirements:

• PhD degree in civil engineering, coastal engineering, ocean engineering or related field

• At least 1 year of relevant experience in coastal structure foundation design and hydrodynamics analysis

• Strong background in hydrodynamics analysis

• Expertise in laboratory coastal structure testing

• Expertise in FEM software (Ansys, Abaqus, Plaxis, Comsol etc.)

• Good written and oral communication skills

• Proficiency in oral and written English - essential for data analysis and communication with stakeholders

• Publication track record is an advantage

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

The School of Civil and Environmental Engineering (CEE) at Nanyang Technological University, 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.

The Research Fellow will contribute to the development of an AI-assisted, data-driven road safety analytics framework. The role involves integrating multi-source transport datasets, developing advanced analytical and machine learning models for risk identification, and supporting the design of evidence-based interventions within a unified GIS-enabled decision-support platform.

Key Responsibilities:

• Integrate and manage multi-source transport datasets, including traffic flow, telematics, road geometry, signal timing, and incident records.

• Develop and implement advanced analytics and AI/ML models to identify road safety risks and spatio-temporal patterns.

• Design and conduct simulation experiments to evaluate proposed safety interventions and quantify their impacts.

Job Requirements:

• PhD degree in transportation engineering or related field

• Expertise in data analytics and computer programming

• Knowledge in traffic safety, urban transportation studies, traffic flow theory, operation research 

• Publication track record must be good

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

We regret to inform 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.

Job Responsibilities:

• Literature review of existing methods and models

• Identify the weaknesses of existing models

• Propose and develop state-of-the-art methods to overcome existing problems.

• Train and evaluate the models and systemically compare them with recent models.

• Prepare papers and reports.

• Develop systems based on the developed models for agencies/commercial partners

• Supervise junior researchers and master students

Job Requirements:

• Preferably PhD in Computer Engineering, Computer Science, Electronics Engineering or equivalent.

• Independent, highly analytical, proactive and a team player

• Excellent teamwork and verbal, written communication skills

• In-depth knowledge of deep learning, specifically, foundation models, diffusion models is a must.
  1) For image/video watermarking: In depth knowledge of AI editing methods and property of generative models.

2)For video processing: In depth knowledge of open object detection, video summarization, key-frame extraction.

• 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.

• A strong publication record at top AI conferences or journals, such as CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, TPAMI, TIP, TIFS, and TMM

• Preferably publications related image/video watermarking or video processing

• Strong software implementation skills.

• Preferably 4 years+ research experience, including PhD study.

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:

• Expected to work closely with the PI and other team members to carry out research activities, including identifying promising research directions, conducting experiments, documenting research findings, and presenting these findings to the broader community.

• Expected to provide feedback and assistance to other team members and contribute to the overall growth of the team.

• Additional responsibilities include supporting team operations and proactively taking on new tasks when necessary to facilitate the team’s development.

• The candidate may also have opportunities to supervise junior researchers when appropriate.

Job Requirements:

• Preferably Bachelor’s degree in Computer Engineering, Computer Science, Electronics Engineering or equivalent.

• 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.

The School of Civil and Environmental Engineering (CEE) at Nanyang Technological University, 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.

The Senior Research Fellow will contribute to leading the development of an AI-assisted, data-driven road safety analytics framework. The role involves integrating multi-source transport datasets, developing advanced analytical and machine learning models for risk identification, and supporting the design of evidence-based interventions within a unified GIS-enabled decision-support platform.

Key Responsibilities:

• Lead and drive the overall project execution, including research direction setting, task coordination, and milestone delivery to ensure timely and high-quality outcomes.

• Provide leadership and supervision to the research team, mentoring junior researchers and coordinating collaborations with internal and external stakeholders.

• Integrate and manage multi-source transport datasets, including traffic flow, telematics, road geometry, signal timing, and incident records.

• Develop and implement advanced analytics and AI/ML models to identify road safety risks and spatio-temporal patterns.

• Design and conduct simulation experiments to evaluate proposed safety interventions and quantify their impacts.

Job Requirements:

• PhD degree in transportation engineering or related field

• At least four years of post-doctoral research experience

• Expertise in data analytics and computer programming

• Knowledge in traffic safety, urban transportation studies, traffic flow theory, operation research 

• Publication track record must be good

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

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

The School of Civil and Environmental Engineering (CEE) is a leading school for Sustainable Built Environment. The key objective is to support efforts to excellence in providing advanced education, spearheading groundbreaking research, and delivering unparalleled professional services.

We are looking for a Research Associate to enhance the blast resistance of precast structures and analyze progressive collapse in flat slab systems. The role will focus on creating safer and resilient environments, addressing critical challenges, such as structural safety and resilience, and contributing meaningfully to our overarching commitment to protect communities and foster innovation in construction safety.

Key Responsibilities:

• Conduct research and perform in-depth analyses to improve fire performance of concrete materials, structural systems and structural joints.

• Develop and implement innovative methods and solutions to enhance building safety and structural resilience.

• Collaborate with interdisciplinary teams to design, test, and optimize new materials and construction techniques.

• Support performance-based fire design, numerical modelling, testing framework development, and technical reporting.

• Ensure project compliance with safety standards while contributing to the university’s mission of fostering innovation and protecting community welfare.

Job Requirements:

• Master’s degree in Civil/Structural Engineering or related field

• Knowledge of structural fire engineering and performance-based fire design

• Experience in structural/material testing, modelling, or data analysis.

• Good written and oral communication skills

• Experience with reinforced and precast concrete structure design and analysis

• Proficiency in structural analysis software and CAD.

• Competent in analytical, problem-solving, and communication skills

We regret to inform 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:

• Lead experimental wet-lab efforts to scale up high-throughput screening of RNA therapeutics.

• Design and conduct chemical synthesis and analysis to generate high-quality datasets for training AI models.

• Mentor junior research lab members in experiments.

• Collaborate with a multidisciplinary team of researchers, including AI scientists and engineers.

• Stay current with advancements in RNA therapeutics innovation, contributing to the evolution of our methodologies.

• Participate in regular meetings and present findings to academic and industry stakeholders.

Job Requirements:

• Bachelor’s degree in Chemistry, Chemical Engineering, Pharmaceutical Sciences, Biochemistry, or a related field.

• Strong background in organic chemistry, medicinal chemistry and hands-on experience with wet-lab techniques (e.g., chemical synthesis and analysis, high-throughput screening) is preferred.

• Demonstrated interest or experience in RNA therapeutics and high-throughput innovation.

• Enthusiasm for interdisciplinary collaboration, particularly with computational team members focused on AI model development.

• Oversee and report project progress.

• Ability and willingness to work some flexible hours.

We regret that only shortlisted candidates will be notified.

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 Fellow to work on a project in the area of cyber-physical security analysis of modern power grids. The role will focus on cyber-physical modeling, simulation, and security assessment method development.

Key Responsibilities:

• Develop a high-fidelity Digital twin platform for modern power grid systems with coupled cyber-physical interaction layers.

• Simulate and access various cyber-attack vectors (e.g., data injection, remote control hijacking, protocol spoofing) to support power grid cyber-physical security assessment

• Provide an interface for external solution provides to test cybersecurity products virtually.

• Integrate with a Hardware-in-the-loop (HIL) platform for co-simulation tests on individual components in the power system.

Job Requirements:

• PhD degree in Electrical Engineering or related subjects.

• Expert knowledge in power system modeling and simulation

• Research experience with power system cyber-physical modeling and simulation.

• Excellent verbal and written communication skills in English - essential for data analysis and communication with stakeholders

• Strong analytical and conceptual abilities.

• Relevant industry working experience is highly preferred.

• Able to work independently and in a team to realize proposed research work.

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

NTU, CEE is a leading school for Sustainable Built Environment.

We are looking for a Research Fellow to support the development of smart connectors for modular floating breakwaters. The role will focus on simulation, prototyping, lab testing and developing smart connectors for modular floating breakwaters.

Key Responsibilities:

• Design and build connector models

• Simulation and optimization of connectors

• Fabricate connectors and conduct lab tests

• Publish several papers in top journals.

• Write proposals for further development.

• Mentor students

Job Requirements:

• PhD degree in civil engineering or related field

• At least 1 year of relevant experience in signal processing and machine learning.

• Good written and oral communication skills

• Proficiency in ANSYS, and lab test skill

• Ability to work independently and develop solutions under strict timelines

We regret that only shortlisted candidates will be notified.

NTU, CEE is a leading school for Sustainable Built Environment.

We are looking for a Research Associate to support the development of hybrid vision-vibration digital twin for steel structures. The role will focus on simulation, lab testing and developing smart connectors for modular floating breakwaters.

Key Responsibilities:

• Develop modelling techniques for hybrid digital twins.

• Fabricate steel building models with corrosions.

• Develop AI and model updating techniques to calibrate the model.

• Publish several papers in top journals.

• Write proposals for further development.

• Mentor students.

Job Requirements:

• MSc degree in civil engineering or related field

• At least 1 year of relevant experience in structural analysis and machine learning.

• Good written and oral communication skills

• Proficiency in ABAQUS, MATLAB, and lab test skill

• Ability to work independently and develop solutions under strict timelines

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:

• Lead the design, implementation, and evaluation of the project’s core technical components in expert-in-the-loop agentic AI for manufacturing.

• Develop process-centric AI methods and software tools for BPMN modelling, Petri/CPN formalisation, process mining, conformance checking, and token-based what-if analysis.

• Build and integrate LLM-enabled multi-agent components for expert elicitation, structured questioning, explanation, and knowledge update workflows.

• Design and maintain semantic / causal knowledge graph and provenance mechanisms for validated write-back of rules, parameters, and process knowledge.

• Conduct experiments, benchmarking, and technical validation on manufacturing control-tower and process-design use cases, including performance overlays and policy evaluation.

• Work closely with project investigators, collaborators, and domain experts to translate operational requirements into concrete technical modules and research deliverables.

• Prepare technical reports, research publications, software artefacts, and presentations arising from the project.

• Support project coordination, documentation, milestone tracking, and supervision of junior research personnel or students where required.

Job Requirements:

• Preferably PhD in Computer Engineering, Computer Science, Electronics Engineering or equivalent.

• 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.

To support the new research project titled: Singapore Parkinson's Disease Programme (SPARKLE) - Theme 5: Neurotech Intervention, we establish a sub-project on “Human Gait Detection via Acoustic-enabled Footstep Tracking under NTU-CCDS. In line with NTU’s vision and mission to nurture leaders through research, this project aims to attract both local and international talents with prior experience in relevant fields to achieve intended research output.

Key Responsibilities:

• To independently undertake research in artificial intelligence and computer vision tools.

• To use these tools for interpret the acoustic sensing results.

• To produce research reports and/or publications as required by the funding body or for dissemination to the wider academic community.

• To attend, contribute, where necessary lead relevant meetings, and effectively interact with medical experts from SGH and NNI.

• To provide guidance and support to any students associated with the project.

• To undertake any other duties relevant to the programme of research.

Job Requirements:

• Preferably PhD in Computer Science/Engineering or equivalent.

• Independent, highly analytical, proactive and a team player

• Excellent teamwork and verbal, written communication skills

• In-depth research experience in artificial intelligence and computer vision.

• 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.

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

• Ability to initiate collaboration research in multidisciplinary team.

• Oversee and report project progress.

We regret that only shortlisted candidates will be notified.

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.

The role will focus on application of smart contracts in energy applications. The Blockchain Specialist will lead the design, implementation, and optimization of the platform’s blockchain infrastructure. This includes developing smart contracts, integrating Hyperledger Fabric and Avalon frameworks, implementing TEEs for confidential execution, and ensuring secure, tamper-proof dual-hash validation. The specialist will also oversee performance, scalability, and security of on-chain and off-chain operations.

Key Responsibilities

• Design and implement API connectors for IoT devices, metering infrastructure, SCADA, and DERMS platforms.

• Integrate the blockchain platform with corporate ERPs, billing systems, and financial institutions.

• Ensure secure, low-latency data exchange between on-chain smart contracts and off-chain systems.

• Develop data validation and reconciliation workflows to minimize disputes and errors.

• Support deployment of pilot projects (e.g., REIDS facility) and coordinate with DER operators.

• Collaborate with blockchain specialists, AI engineers, and regulatory teams to meet compliance requirements.

Job Requirements:

• Master’s in Computer Science, Electrical Engineering, or related fields.

• Experience with cloud platforms, microservices architecture, and real-time data pipelines.

• Strong problem-solving skills and ability to work across multiple stakeholders.

• Prior exposure to energy market operations, PPAs, or VPPs is a plus.

• Understanding of IoT integration, metering protocols (Modbus, MQTT), and DER operations.

• Knowledge of cryptography, consensus algorithms, and security best practices.

• Prior experience in energy markets or financial settlement systems is highly desirable

• Proven experience in systems integration and API development (REST, gRPC, MQTT).

• Familiarity with IoT and smart metering protocols, SCADA/DERMS, and energy management systems.

• Knowledge of blockchain integration, smart contracts, and dual-hash validation workflows.

• At least 2 years of relevant experiences in similar role / technical hands-on experience in specific scope

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