Nathan Kirk

The University of St Andrews is offering PhD opportunities in Statistics for the 2027–28 academic year through its School of Mathematics and Statistics. The projects span statistical ecology, statistical medicine, molecular biology, statistical methodology and machine learning. Two projects are specifically highlighted by Lecturer of Statistics Nathan Kirk. The first, Bridging Quasi-Monte Carlo and Machine Learning , builds on recent work including Message-Passing Monte Carlo and NeuroLDS. The second, Efficient Sampling and Scalable Inference for Structured Spatio-Temporal Models , focuses on computational methods for structured data that vary across space and time. PhD students join a supportive research division with a strong record in statistics and related disciplines. The research environment includes weekly seminars, research group meetings, training through national postgraduate programmes, and an active doctoral community that organises academic and social events. The work is based in St Andrews, a historic university town on Scotland’s east coast, with beaches and cliff walks nearby.