Total 74 computer security job vacancies in Education / Training category in Australia

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:

• Formulate research problems and seek effective solutions

• Engage in cutting-edge research, contribute to publications

• Collaborate with team members, and assist in guiding junior students to complete their research projects.

• Assist in deploying the advanced solutions to real-world applications such as cyber security compliance.

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.

Key Responsibilities:

• Develop and optimize AI models, including data preparation, training and evaluation.

• Collaborate with teams to implement models and improve performance based on results.

• Design and conduct human behavioral experiments, including developing protocols and ensuring compliance.

• Collect and analyze experimental data and interpret findings to support research objectives.

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

• Strong coding and implementation skills in developing AI models

• In depth understanding of neural circuits for controlling eye movements in neuroscience

• Strong communication skills in terms of writing and reading academic papers, and presenting research works in public settings

• Candidates must have strong computational background

• Candidates must have coding experiences in deep reinforcement learning and deep learning

• Candidates must also have strong neuroscience backgrounds especially in designing and conducting human behavioral experiments

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 Master’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.

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

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

The Centre for Information Sciences and Systems (CISS) is a key research center within the School of EEE at NTU, Singapore. It focuses on advancing information processing and communication technologies to support Singapore's Smart Nation initiative. The research areas include communication systems, 5G and beyond 5G systems, advanced sensing technologies, application of deep learning and AI for wireless systems, etc.

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

We invite applications for the position of Research Associate. The candidate shall support pioneering and innovative research in the application of flexible antennas for the beyond 5G wireless communication systems at School of Electrical and Electronic Engineering, NTU. In this role, the candidate shall involve designing, modeling, and analyzing innovative flexible antenna-enabled communication systems to improve signal efficiency, channel capacity, and network performance. The successful candidate will conduct theoretical research, collaborate with faculty and researchers in the School of EEE, and contribute to high-impact publications.

Key Responsibilities:

• To undertake research and development in the topic of flexible antennas and NTU’s responsibilities.

• Preparation of conference and journal papers for publication of research findings.

• Collaborate with colleagues in School of Electrical and Electronic Engineering in the area of wireless communications.

• Participation in all project meetings; preparation and presentation of talks, posters and reports to disseminate the results of these studies. 

• Participation in national and international conferences and workshops to present the results of the project to a wider audience and to learn about current advances in the field. 

• Any other duties appropriate to the grade as delegated by the Principal Investigator

Job Requirements

• Master’s degree in Electrical and Electronic Engineering, Computer Science, or related field

• Knowledge of flexible antennas, wireless communications, and machine learning

• Good skill set in signal processing and optimization techniques 

• Proficiency in Python for modeling and machine learning applications

• Effective communication, teamwork, and presentation abilities

• Self-motivated, organized, and able to meet research milestones and deadlines

We regret to inform you 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 seeking to hire a Research Engineer to support an advanced research programme on vector search on high-dimensional vectors. This role directly contributes to NTU’s mission of advancing cutting-edge AI technologies by developing next-generation methods that improve the performance, reliability, and efficiency of vector search systems.

The Research Engineer will work closely with the Principal Investigator and research team to design, implement, evaluate, and optimize algorithms and systems for high-dimensional vector search—an essential component of NTU’s strategic thrust in AI, computing, and digital innovation.

Key Responsibilities:

• Conduct research and development on vector search, including storage, indexing, and system building.

• Design and implement experimental frameworks, benchmarking pipelines, and prototype systems for evaluating vector search performance across hardware and software platforms.

• Collaborate with project team members to prepare technical reports, documentation, datasets, and research artifacts.

• Support the preparation of research publications, codes, and grant-related deliverables.

• Participate in regular team meetings and contribute to the problem-solving, design, and implementation of new research ideas.

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 (including algorithms, systems, data structures, machine learning).

• Demonstrated capability to conduct innovative research.

• Ability to design and implement new experimental methods.

• Ability to initiate collaboration research in multidisciplinary team.

• Oversee and report project progress.

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 and development in machine learning, multimodal AI, and vision language models

• Implement and evaluate deep learning models and algorithms for research projects

• Process and manage large scale datasets for training and evaluation

• Write research papers, technical reports, and project documentation

• Collaborate with team members and external collaborators on research activities

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:

• The candidate will research and develop a methodology/framework for multimodal large language models.

• The candidate will research and develop a methodology/framework for hallucination mitigation.

• The candidate is required to report its research findings in the form of a report and/or present its research findings in international peer-reviewed conferences/journals.

• The candidate is to be involved in the mentoring of Masters/FYP students

Job Requirements:

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

• Good R&D experience in multimodal large language models

• 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.

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:

• The candidate will research and develop a methodology/framework for multimodal large language models.

• The candidate will research and develop a methodology/framework for hallucination mitigation.

• The candidate is required to report its research findings in the form of a report and/or present its research findings in international peer-reviewed conferences/journals.

• The candidate is to be involved in the mentoring of Masters/FYP students

Job Requirements:

• Preferably Bachelor’s Degree In Computer Engineering, Computer Science, Electronics Engineering Or Equivalent.

• Good R&D experience in multimodal large language models

• 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.

We regret that only shortlisted candidates will be notified.

Job Description:

• Deploy to Airport Passenger/Staff Screening Areas and Access Control Points.
• The 4 roles of an AvSO are Front loader, Hand-Held Metal Detector Operator/Pat-Down Searcher, Manual Bag Searcher and Explosive-Trace Detect Operator.

Requirements:

• Min 1 ‘N’ / 'O' Level
• Able to perform 12hours shift
• Applicants without prior experience are welcome to apply as training will be provided
• Singaporeans Only

Salary & Benefits:

• Gross Salary up to $3,190
• Medical, Dental & Leaves entitlement

----- Interested applicants may Apply Now ----

Interested applicants are invited to apply directly at the NUS Career Portal

Your application will be processed only if you apply via NUS Career Portal

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
• Strong communication and collaboration skills
• Ability to work independently and manage multiple tasks effectively

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.

ANGEL is seeking a highly motivated Research Scientist in the area of green computing, with a focus on computing and networking system energy efficiency optimization. The postdoc will play a key role in advancing our research agenda on sustainable data canters and energy-aware computing, bridging system-level performance with energy consumption reduction.

Key Responsibilities:

• Conduct research on energy-efficient computing systems, including CPU/GPU/accelerator architectures, virtualization, and workload scheduling;
• Develop models and algorithms for energy-aware scheduling, workload prediction, and performance–energy trade-off optimization;
• Investigate network system energy efficiency, including traffic scheduling, topology optimization, and SDN-based solutions;
• Perform trace-driven evaluation using large-scale cluster datasets (e.g., Google cluster data, Alibaba traces);
• Contribute to the design of green cloud and edge computing architectures;
• Publish results in top-tier conferences and journals, and collaborate with industrial and academic partners.

Requirements:

• PhD in Computer Science, Computer Engineering, Electrical & Electronic Engineering, or related disciplines;
• Strong research background in systems, networking, or distributed computing, with demonstrated focus on energy efficiency;
• Experience in workload modeling, power/performance optimization, and energy-aware scheduling;
• Knowledge of optimization methods (e.g., convex optimization, combinatorial optimization, reinforcement learning) for energy management;
• Familiarity with simulation and modeling tools (e.g., gem5, NS3, CloudSim, GreenCloud);
• Experience with large-scale workload traces and trace-driven performance evaluation;
• Proficiency in Python, C++ or Java for system-level experimentation;
• Strong publication record in relevant venues (e.g., SIGMETRICS, ASPLOS, OSDI, INFOCOM, IEEE TPDS);
• Cross-disciplinary research experience integrating computing/IT systems with energy system modelling is a plus;
• Industrial or collaborative project experience in cloud/edge systems, high-performance computing, or energy-efficient networks is desirable;
• Fluent spoken and written English for research work.

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 independently undertake research in computer vision and machine learning.

• 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 PhD degree in Computer Science or equivalent.

• Have a solid foundation in the following areas: Computer Vision, 3D vision;

• Strong publication records in top-tier computer vision and machine learning conferences/journals, such as CVPR, ICCV, ECCV, NeurIPS, ICLR, ICML, etc.;

• Knowledge of scientific or engineering software like PyTorch, TensorFlow, etc.;                                                               

• Demonstrate outstanding communication skills, clear logical thinking, and willingness to learn.

We regret that only shortlisted candidates will be notified.

CYSREN was established to address these concerns through multi-disciplinary research and development around cybersecurity, leveraging NTU’s core competencies in Engineering, Exact Sciences, International Studies and Business, among others.

We have a dedicated core team that uses its domain expertise and global experience while leveraging on NTU’s vibrant research culture and comprehensive R&D infrastructure to deliver state-of-the-art R&D projects. We engage with local as well as global agencies and industry partners to develop capabilities for a number of areas of strategic importance including:

• cyber worthiness of autonomous vehicles

• cyber risk management, advanced threat intelligence

• secure-by-design for IoT and policy

• governance of cybersecurity

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

The Research Associate will support the development of advanced research prototypes and technical capabilities for the Agentic AI project.

Responsibilities:

• Responsible for the design and development of software components for the agentic AI framework.

• Develop algorithms and system architectures for autonomous AI agents, including reasoning, planning, and tool interaction modules.

• Implement research prototypes and experimental platforms for evaluating AI agent capabilities.

• Conduct experiments and performance evaluations for AI models and agent systems.

• Improve system robustness, scalability, and efficiency through iterative development and testing.

• Collaborate with researchers and engineers to integrate AI agent capabilities into practical applications.

• Prepare technical documentation, reports, and research publications.

• Support the management of project deliverables and research milestones.

Requirements:

• Master’s degree in Computer Science, Computer Engineering, or related discipline

• Strong programming experience in Python or similar languages

• Knowledge of machine learning, AI systems, or autonomous agents

• Experience with scalable software systems and cloud-based development environments

• Familiarity with software engineering practices including version control and testing

• Strong analytical, problem-solving, and communication skills

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

We are seeking to appoint a Research Associate to contribute to NTU’s mission of advancing cutting-edge research and industry translation in software engineering and cybersecurity. The successful candidate will work on the industry project focusing on the automated open-source component detection and emulation-based fuzz testing technologies for automotive software systems.

The role involves developing scalable binary analysis frameworks, AI-driven program understanding techniques, and automated security testing pipelines for embedded MCU and SOC platforms. The candidate will collaborate closely with academic researchers and industry engineers to transform research prototypes into deployable, high-performance solutions aligned with industrial requirements.

Key responsibilities:

• Develop and optimize automated binary analysis and open-source component detection systems.

• Design and enhance emulation-based fuzz testing frameworks for embedded environments.

• Apply AI and large language model (LLM)-based techniques to improve program analysis and vulnerability assessment.

• Support system integration, benchmarking, deployment, and technical documentation.

Requirements:

• A Masters degree in Computer Science, Software Engineering, Artificial Intelligence, or a related discipline.

• Strong research track record in software engineering, AI for code, or software security (e.g., publications in reputable international venues).

• Experience in program analysis, intelligent software systems, or LLM-based code intelligence.

• Strong programming skills in Python and/or C/C++.

• Ability to work independently and collaboratively in academia–industry joint projects.

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