Conduct methodological research at the frontier of machine learning
Collaborate across a vibrant national network of leading universities and industry partners
Define the scope of the project together with the candidate and tailor to strengths and interests

Requirements

PhD (or near completion) in Machine Learning, AI, Statistics, Applied Mathematics, or a related field
Research experience in at least one of: probabilistic machine learning, diffusion/flow-based models
Proficiency in modern ML toolchains (e.g., PyTorch, JAX) and reproducible research practices
A track record of high-quality publications
Excellent communication skills and a collaborative mindset

Benefits

Leading-edge research
Working within one of the world’s leading universities
Contributing to the work and purpose of the University
Competitive salary
A diverse and vibrant international community
Comprehensive Staff Benefits including generous annual leave entitlement, a defined benefits pension scheme, a wide range of staff discounts, family-friendly initiatives, and flexible work options

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

machine learningprobabilistic machine learningdiffusion modelsflow-based modelsstatisticsapplied mathematicsreproducible research practices

Soft Skills

excellent communication skillscollaborative mindset

Certifications

PhD in Machine LearningPhD in AIPhD in StatisticsPhD in Applied Mathematics