Total 8 computer security job vacancies in Education / Training category

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

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

Key Responsibilities:

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

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

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

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

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

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

Job Requirements:

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

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

• Knowledge of cybercrime concepts and LLM prompt techniques.

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

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

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

We regret that only shortlisted candidates will be notified.

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

NUS Career Portal link: https://careers.nus.edu.sg/job/Research-Fellow-%28Computer-Science%29/33203-en_GB/?st=148CE054359BE2C7B80B2B9D9F4D62543197147D

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 conduct research in areas of efficient AI, multimodal understanding, vision and robotics.

Only shortlisted applicants will be notified.

Job Requirements

• Ph.D. in Computer Science or a closely related field
• Excellent research skills, including data analysis, interpretation, and scientific writing
• Good publication record
• Strong communication and collaboration skills
• Ability to work independently and manage multiple tasks effectively

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.

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, Cluster 5 Climate and finance markets will measure and price climate risk in financial markets, design innovative risk financing solutions to climate change, and quantify economic impact of climate policies.

The Research Fellow will be based in the Nanyang Business School and will contribute to interdisciplinary research under Cluster 5, with a particular emphasis on empirical analysis, AI-enabled data construction, and policy-relevant research outputs.

Duties and Responsibilities:

• Design, develop, and execute empirical research projects related to climate risk, financial markets, and climate policy, in alignment with the objectives of Cluster 5: Climate and Finance Markets under the Climate Transformation Programme.

• Construct, clean, and analyze large-scale datasets combining financial, environmental, and policy information, including both structured and unstructured data sources.

• Apply artificial intelligence and large language model (LLM) tools to extract, structure, and analyze information from unstructured sources such as corporate disclosures, regulatory filings, policy documents, and project-level reports.

• Develop and maintain retrieval-augmented generation (RAG) pipelines and related AI-enabled research workflows to support dataset construction, empirical analysis, and evidence synthesis.

• Implement rigorous empirical and quantitative methods to measure and price climate-related risks in financial markets and to assess the economic and financial impacts of climate policies.

• Contribute to the preparation of academic manuscripts for submission to leading peer-reviewed journals, as well as policy-oriented reports and research outputs.

• Collaborate closely with faculty investigators, research staff, and interdisciplinary partners across the University and with external collaborators.

• Support project coordination activities, including documentation of research workflows, version control of code and data, and supervision or mentoring of research assistants where appropriate.

Key Competency and Qualifications Requirements:

• PhD (or PhD near completion) in Computer Science, Finance, Economics, or a related quantitative discipline.

• Strong training in quantitative, empirical, or computational research methods.

• Experience working with large-scale datasets, including unstructured text data.

• Familiarity with AI and large language model (LLM) tools; experience with retrieval-augmented generation (RAG) frameworks is an advantage.

• Strong programming skills (e.g., Python, R, or similar).

Interested applicants are invited to submit a full CV and cover letter in one document. Enquiries about this position can be made to Asst Prof Chen Zhimin.

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 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.

The Fraunhofer Singapore Research Centre FSR@NTU, belongs to the independent research centre at Nanyang Technological University (NTU). Fraunhofer-Gesellschaft (www.fraunhofer.de) is one of the world’s leading applied research organizations with around 30,800 employees, predominantly scientists and engineers in Germany. In Singapore, Fraunhofer operates two independent but closely related and cooperative organizations: Fraunhofer-NTU Centre FSR@NTU and Fraunhofer Singapore Research Ltd. Fraunhofer Singapore Research Ltd is the 1st affiliate of the Fraunhofer-Gesellschaft in Asia. Both entities are legally independent entities working in close collaboration in joint facilities.

We invite applicants to join the centre as a Research Associate (full-time). You will be part of the research team and will work on projects in the area of post-quantum cryptographic migration and cryptographic agility within the QUASAR-CREATE programme, Thrust 3. The work focuses on enabling the secure transition of existing digital infrastructures and systems to quantum-safe cryptographic solutions.

You will conduct research and development in post-quantum security, investigating methods for analyzing cryptographic dependencies, assessing migration readiness, and ensuring secure and reliable transition processes. You will translate research results into practical tools, frameworks, and automated migration pipelines, and implement working prototypes that demonstrate how migration methods and crypto-agile architectures can be applied in real-world systems and infrastructures.

Key Responsibilities:

• Conduct research and development on post-quantum cryptographic migration and cryptographic agility in complex systems and infrastructures

• Design, implement, and evaluate tools, frameworks, and migration pipelines enabling the transition to quantum-safe cryptography

• Analyse software and system architectures with respect to cryptographic dependencies, migration readiness, and transition risks

• Develop and demonstrate proof-of-concept prototypes and migration frameworks in collaboration with project partners

• Contribute to the design and implementation of migration analysis platforms and supporting tool-chains

• Prepare technical reports, scientific publications, and project documentation

Job Requirements:

• MSc/MEng in Computer Science, Cybersecurity, Information Security, Software Engineering, or a closely related field

• Strong foundation in applied cryptography, computer security, and secure system design

• Understanding of post-quantum cryptography and cryptographic agility concepts is required

• Experience or strong interest in cryptographic migration, secure software development, or security of complex distributed systems

• Good understanding of classical cryptographic protocols, cryptographic libraries, and secure communication systems

• Experience in programming (e.g., Python, C/C++, Rust, Go, or similar) and developing security-related tools or prototypes

• Experience with software architecture analysis, system security evaluation, or migration of software/infrastructure systems is preferred

• Ability to work independently and to develop solutions under strict timelines is a must.

• Good communication skills and some interdisciplinary interest is desired, to be able to interact with researchers at the Centre.

We regret that only shortlisted candidates will be notified.