Location: | Oxford |
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Salary: | £48,235 to £57,255 Grade 8, per annum, (with a discretionary range to £62,407) pa |
Hours: | Full Time |
Contract Type: | Fixed-Term/Contract |
Placed On: | 25th November 2024 |
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Closes: | 6th January 2025 |
Job Ref: | 176627 |
The Department of Statistics is recruiting for two Florence Nightingale Bicentenary Fellows in Statistics. 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 by 1 September 2025 at the latest. 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 finance (including arbitrage and market microstructure), statistical and population genetics, bioinformatics and statistical epidemiology. We aim to hire two candidates who can teach computational statistics and advanced simulation topics or other mainstream topics in statistics.
The successful candidates will hold a relevant PhD/DPhil with post-qualification research experience in statistics or a related subject. For Grade 7, the successful applicants are not required to have post-qualification research experience, but will hold or be close to completion of a relevant PhD/DPhil. They will have a strong publication record and sufficient specialist knowledge to develop research projects, along with effective teaching and supervision skills.
If you would like to discuss this post and find out more about joining the academic community in Oxford, please contact Christl Donnelly (christl.donnelly@stats.ox.ac.uk) or Frank Windmeijer (frank.windmeijer@stats.ox.ac.uk). All enquiries will be treated in strict confidence and will not form part of the selection decision.
This post is fixed-term for three years.
Only applications received before 12.00 midday on 06 January 2025 will be considered.
Interviews will be held on 27 January 2025.
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