专业详情

The Department of Statistics in the University of Oxford is a world leader in research in probability, bioinformatics, mathematical genetics and statistical methodology, including computational statistics, machine learning and data science. Oxford’s Mathematical Sciences submission came first in the UK on all criteria in the 2021 Research Excellence Framework (REF) and in 2016 the department moved to a newly-refurbished building in the centre of Oxford.

Much of the department’s research is either explicitly interdisciplinary or draws its motivation from application areas, ranging from genetics, immunoinformatics, bioinformatics and cheminformatics, to finance and the social sciences. The department is also part of a number of Centres for Doctoral Training (CDT) which admit graduate students; StatML (Modern Statistics and Statistical Machine Learning), an EPSRC CDT in applicable modern statistical theory and methods as well as on the underpinnings of statistical machine learning in association with Imperial; Mathematics of Random Systems: Analysis, Modelling and Algorithms, an EPSRC CDT in the area of probabilistic modelling, stochastic analysis and their applications in association with Imperial and Oxford Mathematics; Sustainable Approaches to Biomedical Science: Responsible and Reproducible Research (SABS R3), an EPSRC CDT focusing on quantitative and predictive research at the interface between the mathematical and physical, and the biological and medical sciences, focussing on industrially relevant challenges in collaboration with 22 pharmaceutical and biotech companies.

You will be expected to acquire transferable skills as part of your training and to prepare a research poster or give a research presentation each year in the department.

You are expected to teach approximately 12 contact hours per year in undergraduate and graduate courses in the department. This is mentored teaching, beginning with simple marking, to reach a point where individual students are leading whole classes of 10 to 12 undergraduate students. You will be encouraged to participate in social events and to take part in public engagement. The department also offers career development events.