Research Fellow Trustworthy AI & Cybersecurity
Clayton, OH - USA
Job Summary
Job No.:697810
Location:Clayton campus
Employment Type: Full-time
Duration: 3year 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
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 Were 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
Focus on Research: Dedicated research-only role with minimal administrative overhead.
Mentorship and Leadership: Work directly under a leading Professor in Software Systems and Cybersecurity gaining invaluable academic guidance and supervision experience.
Career Growth: Opportunities to present at premier conferences build external partnerships and expand your academic profile.
About Monash University
We value difference and diversity and welcome and celebrate everyones contributions lived experience and expertise. Thats why we champion an inclusive and respectful workplace culture where everyone is supported to succeed.
Some 20000 staff work for Monash around the world. We have 95000 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 worlds best tertiary institutions. We rank in the worlds top-50 universities in rankings including the QS World University Rankings 2026.
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 disabilitiesneurodivergent 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 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) or
Position Description:Research Fellow - Trustworthy AI and Cybersecurity
Applications Close: Tuesday 6th October 202611:55pm AEDT
Supporting a diverse workforce
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.