Total 45 Education / Training job vacancies

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, develop research proposals and attract additional external fundings when appropriate.

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.

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%2C-Computer-Science-%28School-of-Computing%29/32522-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for the position of Research 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. In particular, the research fellow is going to investigate the design of novel database systems on modern hardware (e.g., GPUs and/or Non-volatile memory) and data science applications.

Only shortlisted applicants will be notified.

Qualifications

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

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

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Assistant%2C-Computer-Science-%28School-of-Computing%29/32467-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for the position of Research Assistant in the Department of Computer Science, School of Computing (SoC). SoC is strongly committed to research excellence in all its dimensions: searching for fundamental results and insights, developing novel computational solutions to a wide range of applications, building large-scale experimental systems, 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 successful candidate will be responsible for working closely with the Principal Investigator and lab members on one or more research projects. He/she should possess experience or interest in at least one of the following research areas:

• Cybersecurity Attacks & Defences
• Programming Languages & Software Engineering
• CS Education Pedagogy

Only shortlisted candidates will be notified.

Qualifications

• Bachelor’s degree (or a fresh Master’s degree) in a relevant field
• Research experience in the relevant area(s)

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-%28Computer-Science%29/32470-en_GB/?st=268F709592288E636706A7A9A3F4FD9E1228D918

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for the position of Research Assistant in the Department of Computer Science, School of Computing (SoC). SoC is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights, developing novel computational solutions to a wide range of applications, building large-scale experimental systems 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 successful candidates will be responsible for working closely with the Principal Investigator and lab members on one or more research projects. 

Only shortlisted candidates will be notified.

Job Requirements

•  Bachelor’s or Master's degree in Computer Science
•  Experience in Research
•  Demonstrated ability to carry out independent research or project work.
•  Excellent communication, documentation, and teamwork skills.

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 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.

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 independently undertake research in 3D computer vision and visual generation.

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

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

• To attend, contribute, and where necessary lead relevant meetings.

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

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.

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 the security, reliability, and fairness of smart contracts and decentralized applications (DApps).

• Design and develop analysis techniques and tools to detect vulnerabilities in blockchain systems.

• Formulate and evaluate models and metrics for fairness in decentralized environments.

• Develop prototype systems and perform experiments on real-world datasets and platforms.

• Publish research outcomes in high-quality venues and prepare technical reports.

• Collaborate with team members and support mentoring of students.

• Ensure timely completion of project milestones and deliverables.

Job Requirements:

• PhD degree in Computer Science, Computer Engineering, or a related field.

• Strong background in smart contract security, blockchain systems, or software security.

• Experience in program analysis, formal methods, or vulnerability detection techniques is preferred.

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

• Familiarity with decentralized platforms (e.g., Ethereum) and related tooling is a plus.

• Good publication record in relevant areas (e.g., security, software engineering, blockchain) is advantageous.

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

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:

• Responsible for conducting research, mentoring graduate and undergraduate students.

• Responsible for reviewing and publishing papers.

• Brainstorming research ideas and formulating problems.

• Developing methods and conducting experiments in both simulation and real-world robotic systems.

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.

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%2C-Computer-Science-%28School-of-Computing%29/32440-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The appointee will independently spearhead a high-impact research agenda in human-AI co-creativity, which intersects HCI, Generative AI, and Educational Theory. Centering on the lab’s mission to scaffold rather than substitute human expertise, the candidate will conceptualize and lead projects that investigate how AI can be architected as interactive tutors or palettes to empower creativity.

Responsibilities extend beyond project execution to include: shaping the lab’s strategic research direction regarding the ethical and cognitive implications of AI in creative workflows; forging and managing high-level collaborations with external academic and industrial partners; and leading the design of novel evaluative frameworks to measure the long-term development of a user's artistic vision. The appointee will also play a critical role in lab mentorship, acting as a senior advisor to PhD students, and will take a proactive lead in securing research funding through grant proposal development.

Qualifications

The successful candidate must possess a PhD in Human-Computer Interaction, Computer Science, or a related field, with a distinguished track record of independent research as evidenced by first-author publications in flagship venues (e.g., CHI, UIST). Candidates must demonstrate a strong ability to synthesize AI capabilities with complex human needs, specifically in the domain of creativity and expertise development. We are particularly seeking scholars who can leverage Singapore’s unique multicultural landscape to pioneer situated, context-aware AI systems that honor and amplify local creative practices.

Beyond technical excellence in building AI-powered systems, the role requires exceptional intellectual leadership and the capacity to critique and evolve the lab’s core philosophies. The candidate will lead efforts to center underrepresented perspectives within the Singaporean and broader Southeast Asian sociotechnical context to challenge and expand global AI design paradigms. Proven experience in mentoring junior researchers and a demonstrated potential for successful grant writing are highly desirable. The candidate should be prepared to operate as a senior member of the laboratory, contributing significantly to its intellectual atmosphere, lab culture, and professional standing.

About ACP: Shaping the Future of Digital Innovation

For over 27 years, ACP has been a trusted leader in Information & Communication Technology (ICT) solutions, partnering with Government Ministries, Statutory Boards, and leading enterprises across Singapore and Southeast Asia. Established in 1997, we drive innovation and digital transformation for organisations including MOE, iMDA, GovTech, GIC, SUTD, SMRT, Lazada, and Carousell.

Our expertise spans beyond Singapore—we serve as the Exclusive Regional Distributor for Articulate, Vyond, JetBrains, and Inmagine across the Philippines, Thailand, Indo-China, and Indonesia. Backed by a dynamic team of 60+ professionals and recognized certifications including the Data Protection Trustmark, Bizsafe Level 3, and Total Defence Award, we are committed to building a culture of innovation and excellence.

Join our team and help shape how the next generation learns, creates, and innovates.

Position Overview

We are seeking a talented ICT Support & Training Specialist to join our education initiatives. You will play a pivotal role in empowering students and educators through cutting-edge technology, mentoring in emerging digital skills, and fostering a collaborative learning environment.

Job Description

ICT & Project Support

• Support HOD/ICT in school ICT projects and digital initiatives
• Assist in implementation of ICT programmes in line with MOE guidelines
• Coordinate with ICT team, vendors, and Desktop Engineers
• Assist in ICT asset and equipment management
• Support LMS and e-learning platforms (e.g. Google Classroom)

Media & Administrative Support

• Design posters, digital materials, and school collaterals
• Provide photography, videography, and basic video editing for school events
• Support website updates and digital content management
• Assist in AV setup for school events and examinations
• Compile and archive student ICT projects and works

Teaching & Learning Support

• Support teachers in using ICT tools for lessons
• Assist in e-learning activities and digital classroom integration
• Help conduct basic ICT training for students
• Support ICT-related CCA activities and competitions

ICT Training & Support

• Assist in ICT training sessions for staff and students
• Support training on ICT and AV equipment usage
• Help improve training materials and digital learning resources

Requirements

• Diploma in IT, Multimedia, Design, or related field
• At least 1 year of relevant experience (school experience preferred)
• Proficient in Microsoft 365 and Google Workspace
• Knowledge of Adobe Creative Suite or similar media tools
• Basic video editing and design skills
• Familiar with AI tools is an advantage
• Good communication and teamwork skills

The School of Mechanical & Aerospace Engineering (MAE) is a robust, dynamic and multi-disciplinary international research community comprising of world-class scientists and bright students. MAE prides itself in its excellent research capabilities in areas including advanced manufacturing, aerospace, biomedical, energy, industrial engineering, maritime engineering, robotics, etc. The school is equipped with state-of-the-art research infrastructure, housing a comprehensive range of cluster laboratories, test bedding facilities, research centres/institutes and corporate laboratories. Cutting-edge research in MAE addresses the immediate needs of our industries and supports the nation’s long-term development strategies. In the new era of industrial 4.0 and sustainable living, MAE is rigorous in developing new competencies to support the growth and competitiveness of our engineering sector in the global landscape. MAE has grown to be leader in Engineering Research, ranking amongst the top engineering schools in the world.

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

The research associate will focus on Vision-Language Model based situation awareness and decision-making for autonomous vehicles

Key Responsibilities:

• The research associate will be leading the development of Vision-Language Model based situation awareness and decision-making models for autonomous vehicles.

• The work will involve model training, test rig set-up, and experimental validation

Job Requirements:

• The candidate must at least have a Master Degree in AI, Robotics, Automation, Mechanical Engineering, Control Engineering, Mechatronics, Computer Science, etc.

• Strong background in AI, Large Language Model, autonomous driving, deep learning, interaction modelling, prediction, robotics and automation.

• Candidates having relevant research or working experience in LLM/VLM and AI decision-making algorithms for end-to-end autonomous driving will be preferred.

• Good communications skills and the ability to work independently and facilitate projects with minimal supervision.

• Able to contribute to Journal/Conference papers with good presentation skills.

• Able to plan and organize well and adhere to deadlines

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

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. 

Key Responsibilities:

• Review the literature related to UAV communications and networking

• Develop new AI algorithms for UAV networking and management

• Implement and test the algorithms under realistic scenarios

• Evaluate performance of the proposed algorithms and compare the algorithms with benchmarks

• Publish the results in top-tier journals and conferences

Job Requirements:

• Bachelor’s degree in electrical or computer engineering or computer science

• Good publication record with papers accepted/published in top-tier journals and conferences

• Good research experience in AI and machine learning as well as wireless networking

• Independent, highly analytical, proactive and a team player

• Excellent teamwork and verbal, written communication skills

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-%28Human-computer-interaction%2C-Teen-AI-Safety-and-Digital-Well-Being-Project%29%2C-DID/32381-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

We are seeking a motivated Research Assistant to join a funded research project on AI safety and youth digital well-being in Singapore. The project focuses on designing empowerment-oriented tools that support healthier teen-mobile technology relationships without relying on surveillance, monitoring, or enforcement.
This role is ideal for someone interested in research and design at the intersection of technology, well-being, and youth. The successful candidate will contribute to a project that combines empirical research, co-design, community engagement, and the development of real-world systems.
Role responsibilities
•    Support and help lead studies with teens and relevant stakeholders in Singapore
•    Assist with or help organize co-design workshops and community engagement activities
•    Identify design and technical requirements for the project
•    Contribute to the design, development, and field deployment of a system
•    Support broader research activities, including data collection, synthesis, coordination, and documentation
Depending on the candidate’s experience and background, the role may involve different levels of responsibility in research design, project coordination, analysis, prototyping, and writing.
Who should apply

This position would be a strong fit for candidates interested in human-computer interaction (HCI), teen digital well-being, online safety, AI safety, CSCW, and human-centered technology design. We especially welcome applicants with a strong interest in youth-related issues, whether through research, volunteering, education, mentoring, social work, community engagement, design, or related experience.

Candidates who bring prior experience working with youth or teens in Singapore, whether through educational activities, mentoring, volunteering, workshops, outreach, or research are most welcome. Familiarity with the Singapore education system, including secondary schools, junior colleges, and polytechnics, would be highly valuable, as would awareness of local digital well-being, online safety, or AI literacy initiatives relevant to young people.

This position may also be a strong fit for candidates considering future PhD study, particularly in interactive systems design, HCI, or related areas. Applicants who would like to pursue graduate study at NUS are welcome to mention this in their cover letter.

Position structure
We are looking for a candidate who can contribute to the project over a longer period, potentially for about one year. 
Note: Appointment rank will depend on the candidate’s qualifications, experience, and degree background  

How to apply
Please submit your CV and a brief cover letter. In your cover letter, please describe your relevant background and explain how you meet the core requirements and at least one of the preferred qualifications. If you have experience across multiple preferred areas, please highlight that as well.
Questions about the position may be directed to jcho@nus.edu.sg

Qualifications

Core requirements
•    Strong interest in teen, adolescent, or youth digital well-being, online safety, AI safety, and/or HCI
•    Basic understanding of research, design research, HCI, or human-centered technology development
•    Motivation to contribute to a longer-term project with real-world impact in Singapore
•    Ability to work collaboratively and responsibly with research and community partners
Preferred qualifications
Applicants should ideally demonstrate strength in one or more of the following areas:
•    System development, especially experience with web application development using modern frameworks such as React; experience with mobile app development, deployment workflows, or app release processes would be a plus

•    HCI, CSCW, co-design research, or community engagement

•    Web or app design, interface design, and/or public-facing educational materials

•    Research experience, including academic projects, publications, or papers in relevant journals or conferences, especially ACM venues

•    Experience working with youth, adolescents, families, schools, or community organizations

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 motivated Research Scientist to conduct innovative research and develop intelligent algorithms and system frameworks that optimize cost, performance, and scalability. The role focuses on leveraging machine learning and reinforcement learning to enhance storage and service efficiency under dynamic workloads, while bridging theoretical research with practical implementation through close collaboration with cross-functional teams.

Job Description:

• Conduct cutting-edge research in cloud computing, edge computing, service computing, and distributed storage systems.

• Design and develop novel algorithms and system frameworks for cost optimization, latency reduction, auto-tiering, caching, and cloud-edge collaborative data management.

• Apply advanced machine learning and reinforcement learning methods to optimize storage and service systems under dynamic workloads.

• Collaborate with researchers and project teams to translate theoretical advances into practical, scalable computing systems.

Job Requirements:

• PhD in Computer Science, Software Engineering, Distributed Systems, Cloud Computing, or a related field.

• Strong research background in service computing, cloud computing, edge computing, and distributed storage systems.

• Solid knowledge of optimization algorithms, system design, and intelligent resource management methods.

• Ability to work independently and effectively in collaborative research environments.

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

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 motivated Research Scientist to conduct innovative and impactful research in advanced machine learning, with a focus on recommendation systems, graph neural networks, and multimodal AI, by designing novel models and methodologies, and leveraging large-scale structured and unstructured data to enhance intelligent decision-making and real-world application performance.

Job Description:

• Conduct high-quality research in recommendation systems, graph neural networks, and multimodal machine learning.

• Design and develop novel AI models for sequential recommendation, cross-domain learning, self-supervised learning, and knowledge distillation.

• Analyze large-scale structured and unstructured data, including user behavior, graph data, and multimodal content such as text and images.

Job Requirements:

• PhD in Computer Science, Software Engineering, Artificial Intelligence, or a related field.

• Strong research background in recommendation systems, graph neural networks, and multimodal representation learning.

• Solid programming and model development skills in machine learning and deep learning frameworks.

• Ability to work independently and collaboratively in academic and interdisciplinary research environments.

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-Associate-%28Computer-Science%29/32368-en_GB/?st=6FA442CB56FD2E974BE5044B8B37AC6F38088E32

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for the position of Research Associate 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 Associate will be responsible for working closely with the Principal Investigator (PI) on one or more research projects.

Only shortlisted applicants will be notified.

Job Requirements

• Masters or Ph.D. in Computer Engineering/Computer Science
• Minimum 2 years of relevant professional experience
• Experience in Research
• Strong communication and collaboration skills
• Ability to work independently and manage multiple tasks effectively

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-%28Peace-and-Security%29/32369-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The Centre for International Law (CIL) was established in 2009 as a university-level research institute at National University of Singapore (NUS). CIL engages in both legal and multi-disciplinary research on a wide variety of international law issues. Its mission is to enable Singapore and the Asia-Pacific region to play a more significant role in the promotion and development of international law. CIL's vision is to become a regional intellectual hub and thought leader for research and teaching in international law. Further information about CIL is available at https://cil.nus.edu.sg/

CIL invites applications for the position of Senior Research Fellow. This two-year contractual appointment supports the expansion of the Centre's Peace and Security Programme and aims to enhance the research capabilities of emerging scholars by providing a dynamic and supportive academic environment.

Responsibilities: 

The successful candidate will be expected to:

• Conduct high-quality research on issues related to peace and security, with particular emphasis on states’ conduct in cyberspace, autonomous weapons systems, and international humanitarian law (IHL).
• Produce and publish research in leading peer-reviewed journals.
• Develop and deliver courses within the field of peace and security, including those addressing cyber operations, emerging military technologies, and the application of IHL.
• Assist in the organisation of seminars, workshops, conferences, and related academic events.

CIL provides its research staff with extensive professional development opportunities through NUS events, seminars, and training programmes. Staff members also have opportunities to participate in regional and international academic engagements, including conferences, workshops, and symposiums.

Qualifications

• A PhD in Public International Law with a minimum of three (3) years of postdoctoral research experience;
• A demonstrated record of research excellence, evidenced by high-qualitiy scholarly publications;
• Proven capacity to conduct independent research in the field of peace and security within international law; including expertise in states’ conduct in cyberspace, autonomous weapons systems, and IHL.
• A strong record of journal publications or book chapters in international law is highly desirable; 
• Excellent command of English, proficiency in an additional language is considered an asset.

Application Procedures

Interested applicants are invited to submit their applications through the NUS Career Portal, including the following documents:

• A cover letter outlining relevant experience, motivation for joining CIL, and research interests;
• A comprehensive curriculum vitae (maximum three pages) including educational background and work history;
• University transcripts;
• One (1) sample of written work;
• Names and contact information of at least three (3) referees, including the PhD supervisor.

Please note only shortlisted candidates will be contacted.  For enquiries, please email Ms Huong Tam at huong.tam@nus.edu.sg.

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 programming and software development for graph data management.

• Design and implement machine learning models for optimizing graph data management.

• Conduct experiments and evaluations of the designed algorithms and systems.

• Help with research presentation works such as high-quality paper writing.

Job Requirements:

• Preferably Master 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.

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.

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

We are looking for a Research Assistant to support an AI-enabled battery recycling research project that advances sustainable energy and circular economy goals. The role will focus on developing data-driven models and decision tools to improve the efficiency, yield, and cost effectiveness of battery recycling workflows, supporting experimental and simulation studies across the battery lifecycle, and implementing algorithms for process monitoring and optimization so that recycling operations can be more reliable, scalable, and environmentally responsible.

Key Responsibilities:

• Conduct literature review and problem scoping on battery recycling, including process routes such as hydrometallurgy, pyrometallurgy, and direct recycling.

• Build datasets from experiments, sensors, and public sources, and then perform data cleaning, labeling, and feature engineering for battery recycling tasks.

• Develop AI and machine learning models for recycling process prediction and decision support, such as forecasting metal recovery, impurity levels, energy use, and emissions.

• Develop optimization and control methods for recycling resource management, such as reagent usage, temperature profiles, scheduling, and throughput, under safety and quality constraints.

• Support experimental coordination and analysis, including interpretation of characterization and assay results (as applicable), and then translate findings into model inputs and evaluation.

• Prepare technical reports, documentation, and research manuscripts, and also contribute to project presentations and meeting updates.

• Collaborate with the PI and team members, and coordinate with external partners when needed, to ensure milestones and deliverables are met.

Job Requirements:

• Bachelor qualification degree in Computer Science, Electrical Engineering, or related disciplines

• Strong research experience with a good track record of publications.

• Familiarity with machine learning and optimization, such as supervised learning, reinforcement learning, or constrained optimization.

• Good written and oral communication skills for preparing technical reports, presentations, and draft manuscripts.

• Proficiency in hard skills, such as implementing and evaluating algorithms in Python, and maintaining reproducible experimentation.

• Competent in soft skills, such as problem scoping and analytical skills for experimental results interpretation.

• Interpersonal skill, such as good teamwork and collaboration skills to work closely with the PI, team members, and external partners.

• Entry level candidates are welcome to apply.

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