Current vacancies, La Trobe University

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Job	Location	Date Closes
Research Centre Director - AIPCA	Melbourne (Bundoora)	26 Jan 2026
Join a university committed to excellence, innovation and impact. At La Trobe, you’ll lead a world class research institute shaping the future of primary care and ageing in Australia and beyond.
Lecturer, Podiatry	Melbourne (Bundoora)	23 Dec 2025
Using an evidence-based approach, the successful incumbent will develop, coordinate and teach subjects, thereby providing a high-quality and engaging experience for students.
Lecturer, Podiatry (TF)	Melbourne (Bundoora)	23 Dec 2025
La Trobe University is positioning itself as a leading provider of health and wellbeing education and research in Australia.
Research Fellow - Optimise +	Campus Independent	4 Jan 2026
Support the Optimise+ project: Strengthening LGBTQ+ community-controlled mental health and AOD services.
La Trobe University PhD Scholarship “AI-driven microscopy and spectroscopy”	Melbourne (Bundoora)
Funded by ONI NIDG award: Connecting Spatial and Spectral Information: Understanding Complex Materials Systems at the Molecular Level with Machine Learning.

Job	Closes
Research Centre Director - AIPCA	26 Jan 2026
Join a university committed to excellence, innovation and impact. At La Trobe, you’ll lead a world class research institute shaping the future of primary care and ageing in Australia and beyond.
Lecturer, Podiatry	23 Dec 2025
Using an evidence-based approach, the successful incumbent will develop, coordinate and teach subjects, thereby providing a high-quality and engaging experience for students.
Lecturer, Podiatry (TF)	23 Dec 2025
La Trobe University is positioning itself as a leading provider of health and wellbeing education and research in Australia.
Research Fellow - Optimise +	4 Jan 2026
Support the Optimise+ project: Strengthening LGBTQ+ community-controlled mental health and AOD services.
La Trobe University PhD Scholarship “AI-driven microscopy and spectroscopy”
Funded by ONI NIDG award: Connecting Spatial and Spectral Information: Understanding Complex Materials Systems at the Molecular Level with Machine Learning.