University of Melbourne14 followers61 jobs

Research Fellow in Computational & AI Modelling (Infectious Diseases)

GraduateJuniorFull-timeHybridParkville NSW 2337, AustraliaPosted 2 months agoVerified 2 months ago
Pending fitX of Y criteria met

About the job

This Research Fellow job is all about driving AI-based modelling to tackle infectious disease challenges. By collaborating closely with leading experimental teams at the Doherty Institute and Cumming Global Centre, you will develop robust computational tools that have a real-world health impact. The team thrives on diversity, mentorship, and innovation, creating an environment where everyone can grow as an independent researcher.

You'll be responsible for

🔬

Leading AI-driven computational modelling

Lead AI-driven computational modelling using viral and immunological datasets to identify and prioritise vaccine and therapeutic targets.
🛠️

Developing software tools

Develop, test and maintain reproducible software tools and workflows for large-scale infectious disease data analysis.
📈

Collaborating with experimental partners

Collaborate with experimental partners to integrate modelling insights, interpret results and co-author high-impact publications and reports.

Key criteria

🧠

PhD in relevant field

Hold a PhD in engineering, biology, computer science, or related area.

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🤖

Machine learning expertise

Demonstrated experience with machine learning in health or engineering contexts.

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💻

Programming skills

Proficient in Python, R, or Julia for scientific programming tasks.

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Meet the team

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5 criteria for this job
PhD in relevant field
Hold a PhD in engineering, biology, computer science, or related area.

View

Machine learning expertise
Demonstrated experience with machine learning in health or engineering contexts.

View

Programming skills
Proficient in Python, R, or Julia for scientific programming tasks.

View

Data analysis experience
Experience analyzing large-scale infectious disease datasets effectively.

View

Interdisciplinary collaboration
Proven ability to work in diverse teams across various disciplines.

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