PhD Scholarship "Cancer Biology and Machine Learning"
3 weeks ago
La Trobe University scholarship, in partnership with the Australian Office of National Intelligence, will be awarded to an outstanding applicant interested in connecting spatial and spectral information to understand complex materials systems at the molecular level with machine learning.
Position
Position to be based at La Trobe Melbourne Campus. An amount of $40,000 per annum for 3.5 years, fee relief additional, fortnightly stipend.
Responsibilities
The PhD Student will work with tumour sections to develop multiple instance learning and weak supervision / spatial transcriptomics models to individualise tumour type, associated biomarkers and genomic characteristics to high precision. The resulting multipurpose machine learning workflows will lead to rapid precision diagnoses and effective individualized cancer care plans. Coding and user interface development skills will be developed.
Benefits
• A stipend scholarship for three and a half years, with a value of $40,000 per annum (pro-rata), to support living costs.
• A fee-relief scholarship for up to four years.
• Opportunities to work with La Trobe's researchers in state-of-the-art laboratories and access to professional development programs.
• Collaborative project with time spent at Olivia Newton-John Cancer Research Institute and CSIRO.
• Opportunities to travel to conferences in Australia and overseas.
Eligibility Criteria
To be eligible to apply, applicants must:
- Be Australian citizens, Australian permanent residents, or New Zealand special category visa holders (strict requirement).
- Meet the entrance requirements for the Doctor of Philosophy.
- Agree to be enrolled full-time and undertake research at La Trobe University Melbourne (Bundoora) campus if selected.
In selecting successful applicants, priority is given to candidates who:
- Have an outstanding record of prior performance.
- Have completed a Masters by Research or other significant body of research, such as an honours research thesis or lead authorship of a peer‑reviewed publication, assessed at a La Trobe Masters by research standard of 75 or above.
- Have outstanding grounding in relevant disciplines including cancer biology, cancer medicine, physics, chemistry, engineering, machine learning / data science, coding.
How To Apply
This is an Expression of Interest process. To express interest, candidates must email oni.scholarship@latrobe.edu.au with:
- Current academic transcript including Masters / Honours grades (or completion date).
- A statement outlining motivation, suitability, skills and experience relevant to the PhD project, and how this opportunity fits career plans.
- A statement confirming eligibility as Australian citizen, permanent resident, or NZ special category visa holder.
Shortlisted applicants will be interviewed and may be asked to participate in further evaluation activities. The successful applicant will be required to have a Working with Children Check (WWCC) prior to commencing, to be paid by the applicant. The University will review expressions of interest before inviting full applications.
See Also
https://www.latrobe.edu.au/study/scholarships/other/connecting-spatial-and-spectral-information-understanding-complex-materials-systems-at-the-molecular-level-with-machine-learning-phd-scholarship
Contact for Further Information
Professor Paul Pigram, oni.scholarship@latrobe.edu.au
Closing date
24/09/2025
Scholarship code: SRS-25030
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Melbourne, Victoria, Australia La Trobe University Full timeDetails - La Trobe University PhD Scholarship "Cancer Biology and Machine Learning"La Trobe University PhD Scholarship "Cancer Biology and Machine Learning"Apply nowJob no:569338Work type:Fixed TermLocation:Melbourne (Bundoora)Categories:Computing Engineering & Mathematical SciencesPosition to be based at La Trobe Melbourne Campus.An amount of $40,000 per...
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Melbourne, Victoria, Australia La Trobe University Full timeDetails - La Trobe University PhD Scholarship "Cancer Biology and Machine Learning"La Trobe University PhD Scholarship "Cancer Biology and Machine Learning"Apply now Job no: 569338Work type: Fixed TermLocation: Melbourne (Bundoora)Categories: Computing Engineering & Mathematical SciencesPosition to be based at La Trobe Melbourne Campus.An amount of $40,000...
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