Job Overview

Role type: Full‑time; Fixed term for 18 months
Faculty: Engineering and Information Technology
School: Electrical, Mechanical and Infrastructure Engineering
Salary: Level A.5 – A.8 (AUD 106,273 – 118,416 p.a.) plus 17% superannuation

Responsibilities

- Lead AI‑driven computational modelling using viral and immunological datasets to identify and prioritise vaccine and therapeutic targets.
- Develop, test and maintain reproducible software tools and workflows for large‑scale infectious disease data analysis.
- Collaborate with experimental partners to integrate modelling insights, interpret results and co‑author high‑impact publications and reports.
- Contribute to teaching, mentoring and supervision of students and junior researchers in computational and AI modelling.
- Seek research funding, build an independent research agenda and actively present findings at national and international forums.

Qualifications

- PhD in electrical engineering, computational biology, computer science, physics, statistics, or applied mathematics.
- Strong expertise in machine learning, AI or computational modelling applied to health or engineering problems.
- Experience with scientific programming tools such as Python, R or Julia, plus Linux and high‑performance computing platforms.
- Ability to work effectively in interdisciplinary teams across engineering, infectious diseases and health sciences, using initiative and sound judgement.
- Track record of producing quality research outputs, including peer‑reviewed publications, and ability to communicate complex concepts to diverse audiences.




- Experience contributing to grant proposals and supervising students and research assistants.

Benefits

- 17% superannuation
- Supportive flexible work arrangements underpinned by a commitment to inclusion and well‑being
- Career development opportunities, including access to tailored programmes such as Academic Women in Leadership and learning platforms (e.g., LinkedIn Learning)
- Progressive leave provisions including leading parental leave, gender affirmation leave and cultural leave
- Salary packaging and access to discounted services (e.g., Bupa health insurance, Melbourne Theatre Company discounts)
- Health and well‑being services including an Employee Assistance Programme

Equal Opportunity and Diversity

The University of Melbourne is an Equal Prospect Employer and a child‑safe organisation. We are committed to creating an inclusive and fair workplace where everyone is valued, respected, and empowered to succeed. We welcome applicants from all backgrounds, identities, and experiences. Aboriginal and Torres Strait Islander applicants are encouraged to connect with our Indigenous Employment & Development team.

Visa and Security

This role is eligible for visa sponsorship and we welcome international applicants. A Working with Children Check is required for all positions.

Application Process

Please submit a resume and a cover letter outlining your interest and experience as part of the application process. Include responses to the Selection Criteria found in the Position Description. For further information, refer to the attached PD.

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📌 Research Fellow in Computational & AI Modelling (Infectious Diseases) (Australia)
🏢 The University Of Melbourne
📍 Australia