OpenFieldPhD in Statistical Physics of Complex Networks and Machine Learning
Doctoral research within the Non-linearity and Complexity Research Group (NCRG), applying mean-field theory and statistical physics to analyze loss landscapes and generalizability in deep neural networks.
Application checklist & requirements
These requirements reflect published university guidelines available at the last review. Review official department guidelines before submission.
- Academic degree / Prerequisites
- First Class UK Honours or Master's in Theoretical Physics, Applied Mathematics, or CS
- English language proficiency
- IELTS 6.5
- Standardized testing (GRE/GMAT)
- Not required
- Thesis / Research statement
- Strong background in statistical mechanics, message-passing algorithms, or random matrix theory
- Recommendation letters
- Two academic letters of recommendation
How much will it cost? How much funding is available?
- Financial support / stipend
- Full 3.5-year studentship: £19,237/year stipend + research computing allocation
- Application fee
- £0
- Tuition / joining costs
- 100% waived under EPSRC grant
Dates and verification
- Application deadline
- January 15, 2027
- Last source review
- 2026-10-15
Important verification note
Facts reflect official Aston University 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