Total 16 Junior Executive 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:

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

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

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

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

Job Requirements:

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

• Independent, highly analytical, proactive and a team player

• Excellent teamwork and verbal, written communication skills

• In-depth knowledge relevant to the project domain.

• Demonstrated capability to conduct innovative research.

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

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

• Ability to design and implement new experimental methods.

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

• Ability to initiate collaboration research in multidisciplinary team.

• Oversee and report project progress.

• Ability and willingness to work some flexible hours.

We regret that only shortlisted candidates will be notified.

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-Systems%2C-Machine-Learning%29%2C-School-of-Computing/32568-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 candidates will be responsible for working closely with the incoming Assistant Professor Dr Jiang Wenqi, 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:

• Machine Learning Systems
• Computer Systems
• Computer Architecture
• Databases

Only shortlisted candidates will be notified. 

Qualifications

• Bachelors or fresh Master’s degree in a relevant area for research assistant position
• Experience in research
• Solid background in computer systems, machine learning, or related areas

Established in 1992, the Wee Kim Wee School of Communication and Information (WKWSCI) is the only full-fledged communication school in Singapore and is a world-class centre of excellence with an international faculty, state-of-the-art research laboratories, and global institutional affiliations.

We are looking for a Research Assistant (1-year contract) to support a research project examining disinformation and propaganda operations across Southeast Asia and their impact on Singaporeans. The project will focus on the digital space, including social media and messaging apps.

Key Responsibilities:

• Collect, scrape, and clean large datasets from online platforms and media sources.

• Conduct computational analysis of disinformation and propaganda networks.

• Develop and apply data visualization techniques to present findings clearly.

• Collaborate on research design and methodology discussions.

• Co-author academic papers, conference submissions, and project reports.

• Support literature reviews and integrate computational insights into theoretical frameworks.

• Assist in preparing presentations and communicating findings to stakeholders.

• Assist in logistics, such as equipment purchasing and hiring student assistants

Job Requirements:

• Bachelor’s or Master’s degree in computer science, data science, information studies, or related fields.

• Strong programming skills (e.g., Python, R) for data scraping, cleaning, and analysis.

• Experience with data visualization tools and libraries (e.g., Tableau, matplotlib, ggplot).

• Familiarity with social media APIs and web scraping frameworks.

• Ability to run statistical and computational analyses (e.g., regression, network analysis, machine learning).

• Academic writing skills and willingness to co-author publications.

• Strong problem-solving skills and ability to work independently and collaboratively.

• Prior experience in computational social science or related projects is preferred; Entry level candidates with relevant skills are welcome to apply.

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

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

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

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

We are looking for a Research Assistant to work on computer vision. The role will focus on developing, designing, and implementing novel algorithms and models to address emerging problems in computer vision, such as Multimodal Large Language Models and Diffusion Models.

Key Responsibilities:

The research assistant will focus on the following tasks

• Data collection and processing

• Conducting experiments and analyzing results

• Providing general support for the lab

Job Requirements:

• Bachelor’s degree in Electrical Engineering, Computer Science, or related field

• Knowledge and experience in machine learning, computer vision and deep learning

• Good written and oral communication skills

• Proficiency in basics of programming languages such as Python

• Self-Motivated and takes initiative

We regret to inform you 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%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.

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.

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

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-%28Department-of-Computer-Science%29/32322-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The Natural Language Processing Group at the National University of Singapore invites applications for Research Assistants in the Department of Computer Science, School of Computing (SoC), in the research area of propaganda detection, which concerns automated detection of targeted and coordinated disinformation campaigns. The appointment is for a period of one (1) year.

Qualifications

The candidate should possess a Bachelor's or Master’s degree in computer science or a related discipline, with outstanding academic record. Strong programming skills (Python and PyTorch) and good command of English (both spoken and written) are also required. Candidates interested in pursuing a PhD degree in computer science are especially welcome to apply.

Interested candidates should apply with a cover letter, CV, degree certificates, academic transcripts, names and email addresses of three (3) referees.

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.

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-%28PLSE%2C-Software-Security%29%2C-School-of-Computing/32279-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 candidates will be responsible for working closely with the incoming Assistant Professor Dr. Chengpeng Wang (https://chengpeng-wang.github.io/) and lab members on one or more research projects in the area of intelligent code auditing. He/she should possess experience or interest in at least one of the following research areas:

• Software Engineering
• Programming Languages
• Software Systems Security

Only shortlisted candidates will be notified.

Qualifications

• Bachelors or fresh Master’s degree in a relevant area for research assistant position
• Experience in research in program static analysis, testing, or verification.
• Candidates with publications in top-tier conferences in Software Engineering, Programming Languages, or Security are preferred
• Familiarity with program analysis frameworks such as LLVM, Soot, etc., is preferred

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 successful applicant will be responsible for the development of

• Performing literature review and background study on collaborative AI

• Apply knowledge on foundation models to optimize training and inference processes

• Conduct experiments to compare with comprehensive baselines and validate results

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.

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/Temporary-Junior-Research-Assistant%2C-Computer-Science/32178-en_GB/

We regret that only shortlisted candidates will be notified.

Job Description

The National University of Singapore invites applications for the position of Junior Research Assistant in the Department of Information Systems and Analytics, School of Computing (SoC). SoC is strongly committed to research excellence in all its dimensions: The Junior Research Assistant will be responsible for working closely with the Principal Investigators and lab members on one or more research projects. He/she will work on the development of Velvet, a deductive program verifier embedded in Lean 4, within the Verification and Programming Languages group at NUS. 

Key Responsibilities:

• Implementing and testing new verification features in Velvet
• Write annotated programs to stress-test the specification language
• Contributing to the VelvetMark benchmark suite
• Survey related work in deductive verification
• Extending and maintaining the test suite
• Contributing to research on invariant inference and LLM-assisted verification 

Qualifications

• Bachelor's degree in Computer Science (or related area)
• Strong foundational knowledge of functional programming and type theory
• Familiarity with program verification concepts, including Hoare logic, weakest preconditions, and specification languages like Dafny or Why3
• Hands-on experience in at least one proof assistant or dependently typed language such as Lean 4, Rocq, or Agda

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 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.