PhD Scholarship in Machine Learning for Cancer Drug Response Prediction
A fully funded PhD position to predict cancer drug responses from pathology slides using machine learning.
Best for:Best for aspiring computational biologists or machine learning researchers with strong programming skills interested in translational cancer research.
Overview
Adelaide University's Centre for Cancer Biology invites applications for a fully funded PhD scholarship focusing on machine learning applications in oncology. The successful candidate will investigate whether computational models can predict major genomic changes directly from routine pathology slides to improve treatment selection. The project combines bioinformatics, statistics, and machine learning to pioneer new pathways in cancer diagnosis and precision medicine. Both domestic and international applicants are welcome to submit expressions of interest.
What you'll do
- Develop and apply machine learning algorithms to analyse pathology slide images and genomic data
- Investigate correlations between chromosomal alterations and tumour responses to various cancer therapies
- Process and integrate large-scale computational datasets to identify predictive biomarkers
- Collaborate with multidisciplinary researchers across biology, statistics, and clinical domains
- Prepare research findings for publication in peer-reviewed journals and presentation at academic conferences
Requirements
Degree required: Bachelor's or Master's degree in bioinformatics, computational biology, machine learning, statistics, or a related field
Degree offered: PhD
Language: English; standard institutional English language proficiency requirements apply for international candidates
Instruction: English
- Proficiency in programming languages such as Python or R
- Background in machine learning, statistics, bioinformatics, or computational biology
- Ability to manage and analyse complex biological or medical datasets
- Strong analytical and problem-solving capabilities
- Open to both domestic and international applicants
- Must meet the admission requirements for a PhD degree at Adelaide University
Funding & terms
How to apply
Deadline: 2026-09-30 (Australia/Adelaide)
Interested candidates should review the project details online and submit an expression of interest through the designated application portal. Ensure you reference project code SRTSR0685 during the submission process.
- CV
- Academic transcripts
- Expression of interest
Contact
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