Research Fellow in Computational & AI Modelling (Infectious Diseases) Full-time NEW

Research Fellow in Computational & AI Modelling (Infectious Diseases)

Interdisciplinary AI infectious disease research / collaborate with Doherty Institute and Cumming Global Centre / inform next-generation vaccines and therapeutics

Join FEIT to drive AI modelling for infectious diseases and help shape future pandemic solutions.

Investing in you – 17% superannuation, benefits package including salary packaging, health and wellbeing programs, discounted services, and professional development opportunities.

Your next career opportunity In this Research Fellow role, you will drive AI-based modelling to tackle infectious disease challenges. You will collaborate closely with leading experimental teams at the Doherty Institute and Cumming Global Centre. You will develop robust computational tools that inform vaccines and therapeutics with real-world health impact.

What you will deliver:

• 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 your independent research agenda and actively present findings at national and international forums.

You may be a great fit if you:

• Hold a PhD in electrical engineering, computational biology, computer science, physics, statistics, or applied mathematics.
• Demonstrate strong expertise in machine learning, AI or computational modelling applied to health or engineering problems.
• Use scientific programming tools such as Python, R or Julia, plus Linux and high-performance computing platforms.
• Work effectively in interdisciplinary teams across engineering, infectious diseases and health sciences, using initiative and sound judgement.
• Produce quality research outputs, including peer-reviewed publications, and communicate complex concepts to diverse audiences.
• Contribute to grant proposals and support supervision of students and research assistants.

For more information check out our benefits page!

Your new team The School of Electrical, Mechanical and Infrastructure Engineering hosts world-class researchers tackling society's most pressing engineering challenges. Within the Department of Electrical and Electronic Engineering, you will contribute to interdisciplinary research program in computational modelling for infectious diseases under the supervision of Prof Matthew McKay and Dr Ahmed Abdul Quadeer.As part of FEIT, you will benefit from outstanding facilities and rich interdisciplinary networks.

Be Yourself The University of Melbourne is an Equal Opportunity Employer and a child-safe organisation. The diversity of our community enriches us all, and 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.

We're committed to a barrier-free recruitment process and ongoing workplace support, providing adjustments throughout. We warmly encourage applications from people with disabilities.

Aboriginal and Torres Strait Islander Applicants We aspire to be the University of choice for Indigenous Australians. Indigenous applicants are encouraged to connect with our Indigenous Employment & Development team.

Application essentials:

• Visit “apply with us” to learn more about the process, including tips and FAQs.
• This role is eligible for visa sponsorship and we welcome international applicants.
• A Working with Children Check is required for all positions.
• Please upload your resume and a cover letter outlining your interest and experience as part of the application process.
• Please upload your responses to the Selection Criteria, found in the Position Description.