"StatML CDT Administrator"

The Department of Statistics is seeking to appoint a StatML CDT Administrator.

The EPSRC CDT in Statistics and Machine Learning (StatML) is a four-year PhD/DPhil research programme. It trains the next generation of researchers in statistics and machine learning, who develop widely-applicable novel methodology and theory and create application-specific methods, leading to breakthroughs in real-world problems in government, medicine, industry and science. The programme is run jointly with Imperial College London, and is supported by the Engineering and Physical Sciences Research Council (EPSRC), with additional support from within the Universities.

The postholder will join the team based at the Department of Statistics, and will be responsible for the day-to-day administration of the Centre for Doctoral Training, including but not limited to financial administration, academic administration, events planning and management, and record-keeping. They will work in close collaboration with their counterpart at Imperial.

You will have good first degree or equivalent experience and experience of financial management. You will also have experience of planning and delivering a range of events and/or training activities, including development, planning, delivery, and evaluation. Experience of working in a higher education environment is a desirable.

We proudly hold a Race Equality Charter Bronze Award and a departmental Athena SWAN Silver Award, which guide our progress towards advancing racial and gender equality. As part of our commitment to openness, inclusivity and transparency, we would particularly welcome applications from women and black and minority ethnic candidates, who are currently under-represented in positions of this type at Oxford. Applicants will be selected for interview purely based on their ability to satisfy the selection criteria as outlined in full in the job description. You will be required to upload a statement setting out how you meet the selection criteria, a curriculum vitae, and the contact details of two referees as part of your online application.

Please direct informal enquiries about the post to names and emails, quoting vacancy reference 184858

Only applications received before 12.00 noon UK time on 6th March 2026 can be considered. Interviews are anticipated to be held week commencing 16th March 2026

Location: Statistics, 24-29 St Giles’, Oxford, OX1 3LB

Vacancy ID: 184858