Department of Statistics, 24-29 St Giles, Oxford, OX1 3LB

This post is fixed-term for 2 years in the first instance

The Department of Statistics is recruiting a Florence Nightingale Bicentenary Fellow. These are career development positions intended to carry around half the teaching load of an ordinary Oxford faculty position. The successful candidates would be expected to take up their role in September 2026. Funding for research costs of £2,000 per year will be available.

The post holders will join the dynamic and collaborative Department of Statistics. The Department carries out world-leading research in computational statistics, machine learning, theoretical statistics, and probability as well as applied statistics fields, including statistical and population genetics, bioinformatics and statistical epidemiology.

The successful candidates will hold a doctorate in the field of statistics or a related subject. The Department seeks candidates with interests in any field of research which integrates well with the research carried out within the Oxford Protein Informatics group.

Department of Statistics, 24-29 St Giles, Oxford, OX1 3LB

This post is fixed-term for 2 years in the first instance

The Department of Statistics is recruiting a Florence Nightingale Bicentenary Fellow. These are career development positions intended to carry around half the teaching load of an ordinary Oxford faculty position. The successful candidates would be expected to take up their role in September 2026. Funding for research costs of £2,000 per year will be available.

The post holders will join the dynamic and collaborative Department of Statistics. The Department carries out world-leading research in computational statistics, machine learning, theoretical statistics, and probability as well as applied statistics fields, including statistical and population genetics, bioinformatics and statistical epidemiology.

The successful candidates will hold a doctorate in the field of statistics or a related subject. The Department seeks candidates with interests in any field of research which integrates well with the research carried out within the Oxford Protein Informatics group.