Research Fellow - Trustworthy AI & Cybersecurity

Monash • Clayton, NC

10d • Hybrid

About The Position

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.

Requirements

• A PhD in Computer Science, Information Technology, or a closely related field (or near completion).
• Proven expertise in trustworthy AI or cybersecurity, such as AI safety, adversarial machine learning, privacy preservation, explainable/responsible AI, or software security.
• Demonstrated experience writing and publishing high-quality, peer-reviewed research papers.
• Ability to design computational/experimental frameworks with strong hands-on programming skills and research tool proficiency.
• Strong diagnostic skills with a knack for tackling complex technical challenges independently and creatively.
• Excellent written and verbal communication skills, with a collaborative mindset and collegiate working style.

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.

Benefits

• Dedicated research-only role with minimal administrative overhead.
• Work directly under a leading Professor in Software Systems and Cybersecurity, gaining invaluable academic guidance and supervision experience.
• Opportunities to present at premier conferences, build external partnerships, and expand your academic profile.
• Access to quality research facilities, infrastructure, world-class teaching spaces, and international collaboration opportunities.
• Flexible and hybrid working arrangements.
• Support for combining work and personal commitments, including support for parents.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: Ph.D. or professional degree