Research Fellow - Trustworthy AI & Cybersecurity
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What you'll do
- Drive High-Impact Research: Design and execute experimental and empirical research, publishing top-tier papers in leading conferences and journals.
- Advance Secure AI Systems: Investigate safety, privacy-preserving technologies, adversarial machine learning, explainable AI, or secure software engineering.
- Collaborate and Translate: Work within a supportive team, present findings at national and international conferences, and translate research into practical outcomes.
- Mentorship and Growth: Assist in co-supervising research students and contribute to competitive research grant proposals.
- Academic Engagement: Participate in departmental workshops, research committees, and occasional research-aligned teaching development activities.
What they're looking for
- A PhD in Computer Science, Information Technology, or a closely related field (or near completion).
- Specialised Research Focus: Proven expertise in trustworthy AI or cybersecurity, such as AI safety, adversarial machine learning, privacy preservation, explainable/responsible AI, or software security.
- Strong Publication Track Record: Demonstrated experience writing and publishing high-quality, peer-reviewed research papers.
- Technical Proficiency: Ability to design computational/experimental frameworks with strong hands-on programming skills and research tool proficiency.
- Problem-Solving and Innovation: Strong diagnostic skills with a knack for tackling complex technical challenges independently and creatively.
- Communication and Collaboration: Excellent written and verbal communication skills, with a collaborative mindset and collegiate working style.
Summarised by NextRaise from the employer’s description, which follows in full below.
Full description from employer
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Research Fellow - Trustworthy AI & Cybersecurity
Job No.: 697810
Location: Clayton campus
Employment Type: Full-time
Duration: 3 year fixed-term appointment
Remuneration: Level A plus 17% super
- Amplify your impact at a world top 50 University
- Join our inclusive, collaborative community
- Be surrounded by extraordinary ideas - and the people who discover them
The Opportunity
Are you passionate about building secure, reliable, and responsible AI systems? We are seeking a talented and driven Research Fellow (Level A) to join our dynamic team and make high-impact contributions to the critical fields of Trustworthy AI and Cybersecurity.
In this research-focussed role, you will lead and contribute to cutting-edge projects focused on evaluating, building, and deploying secure software systems powered by AI. Working closely alongside a collaborative research team and top-tier academics, you will publish in premier international venues, translate research into real-world impact, and help shape competitive funding proposals.
This position offers an exceptional launching pad to accelerate your academic career, build leadership through student co-supervision, and expand your research network.
Key Responsibilities
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Drive High-Impact Research: Design and execute experimental and empirical research, publishing top-tier papers in leading conferences and journals.
-
Advance Secure AI Systems: Investigate safety, privacy-preserving technologies, adversarial machine learning, explainable AI, or secure software engineering.
-
Collaborate and Translate: Work within a supportive team, present findings at national and international conferences, and translate research into practical outcomes.
-
Mentorship and Growth: Assist in co-supervising research students and contribute to competitive research grant proposals.
-
Academic Engagement: Participate in departmental workshops, research committees, and occasional research-aligned teaching development activities.
What We’re Looking For
Qualifications
-
A PhD in Computer Science, Information Technology, or a closely related field (or near completion).
Knowledge and Skills
-
Specialised Research Focus: Proven expertise in trustworthy AI or cybersecurity, such as AI safety, adversarial machine learning, privacy preservation, explainable/responsible AI, or software security.
-
Strong Publication Track Record: Demonstrated experience writing and publishing high-quality, peer-reviewed research papers.
-
Technical Proficiency: Ability to design computational/experimental frameworks with strong hands-on programming skills and research tool proficiency.
-
Problem-Solving and Innovation: Strong diagnostic skills with a knack for tackling complex technical challenges independently and creatively.
-
Communication and Collaboration: Excellent written and verbal communication skills, with a collaborative mindset and collegiate working style.
Why Join Us?
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Focus on Research: Dedicated research-only role with minimal administrative overhead.
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Mentorship and Leadership: Work directly under a leading Professor in Software Systems and Cybersecurity, gaining invaluable academic guidance and supervision experience.
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Career Growth: Opportunities to present at premier conferences, build external partnerships, and expand your academic profile.
About Monash University
At Monash, work feels different. There’s a sense of belonging, from contributing to something ground breaking – a place where great things happen.
We value difference and diversity, and welcome and celebrate everyone's contributions, lived experience and expertise. That’s why we champion an inclusive and respectful workplace culture where everyone is supported to succeed.
Some 20,000 staff work for Monash around the world. We have 95,000 students, four Australian campuses, and campuses in Malaysia and Indonesia. We also have a major presence in India and China, and a significant centre and research foundation in Italy.
In our short history, we have skyrocketed through global university rankings and established ourselves consistently among the world's best tertiary institutions. We rank in the world’s top-50 universities in rankings including the QS World University Rankings 2026.
Together with our commitment to academic freedom, you will have access to quality research facilities, infrastructure, world-class teaching spaces, and international collaboration opportunities.
Learn more about Monash.
Today, we have the momentum to create the future we need for generations to come. Accelerate your change here.
Monash supports flexible and hybrid working arrangements. We have a range of policies in place enabling staff to combine work and personal commitments. This includes supporting parents.
To Apply
For instructions on how to apply, please refer to 'How to apply for Monash Jobs'. Your application must address the Key Selection Criteria.
Diversity is one of our greatest strengths at Monash. We encourage applications from Aboriginal and Torres Strait Islander people, culturally and linguistically diverse people, people with disabilities, neurodivergent people, and people of all genders, sexualities, and age groups.
We are committed to fostering an inclusive and accessible recruitment process at Monash. If you need any reasonable adjustments, please contact us at hr-recruitment@monash.edu in an email titled 'Reasonable Adjustments Request' for a confidential discussion.
Your employment is contingent upon the satisfactory completion of all pre-employment and/or background checks required for the role, as determined by the University.
Enquiries: Prof. Yang Xiang, IEEE Fellow, Faculty of Information Technology, +61 (0) 414324238 or yang.xiang@monash.edu
Position Description: Research Fellow - Trustworthy AI and Cybersecurity
Applications Close: Tuesday 6th October 2026, 11:55pm AEDT
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Monash University recognises that its Australian campuses are located on the unceded lands of the people of the Kulin nations, and pays its respects to their elders, past and present.
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