OpenFieldDoctor of Philosophy (PhD) in Data Science & Causal Machine Learning
Doctoral research position within the Centre for Industrial AI and Data Science exploring causal inference, trustworthy machine learning, and high-dimensional health data mining.
Application checklist & requirements
These requirements reflect published university guidelines available at the last review. Review official department guidelines before submission.
- Academic degree / Prerequisites
- Bachelor with First Class Honours or Master's degree in CS, Data Science, or Statistics
- English language proficiency
- IELTS 6.5 (writing 6.5, speaking 6.0)
- Standardized testing (GRE/GMAT)
- Not required
- Thesis / Research statement
- Demonstrated programming skills and research preprint or thesis chapter
- Recommendation letters
- Two academic referee reports
How much will it cost? How much funding is available?
- Financial support / stipend
- AUD $34,210/year RTP stipend + AUD $5,000/year industry top-up scholarship
- Application fee
- AUD $0
- Tuition / joining costs
- Covered by tuition fee offset
Dates and verification
- Application deadline
- November 15, 2026 (Round 1 2027 commencement)
- Last source review
- 2026-10-15
Important verification note
Facts reflect official University of South Australia documentation reviewed 2026-10-15. Admissions, funding allocations, and eligibility thresholds are evaluated by the university.
Reviewed 2026-10-15 · Editorial standards · Report an issue