Imperial College London, Department of Mathematics

Position ID: 434-CR [#18562]
Position Title: Chair or Readership in Statistics
Position Location: London, London, United Kingdom [map]
Subject Area: Mathematics
Application Deadline: 2021/12/07 11:59PMhelp popup (posted 2021/10/11, listed until 2022/12/07)
Position Description:    

Chair or Readership in Statistics

Department of Mathematics

South Kensington Campus

Salary: From £81,791 per annum (Chair) From £71,448 per annum (Reader)

Summary of the post

Applications are invited from outstanding individuals for a Chair or Readership in Statistics, to start from October 2022, or sooner.

The Statistics Section in the Department of Mathematics is committed to research in Statistical Science, broadly interpreted. We undertake rigorous interdisciplinary research, developing methods for applied problems, and the statistical theory underpinning these methods. Expertise in statistical learning, Bayesian, computational, time series, spatio-temporal, and applied-probabilistic methods is deployed to a rich array of interdisciplinary collaborations, ranging from cyber-security, to astrostatistics, the mathematics of planet earth, biomathematics, medicine and epidemiology, public policy, energy, finance, and data-centric engineering.

The Section offers two MSc programmes, one in Statistics and a new online programme in Machine Learning and Data Science. It also leads the EPSRC-funded Centre for Doctoral Training in Modern Statistics and Statistical Learning (joint with Oxford Statistics and Imperial Computing). Our new online MSc is enabling significant expansion in the Section over the next several years, including multiple staff hires.

With 29 academic staff, many postdoctoral researchers, and over 50 PhD students the Section offers an engaging, diverse, and lively research culture. The Section is based in the Huxley Building on an attractive site in South Kensington in the internationally-significant Albertopolis cultural district in central London. The members of the section are involved in a range of activities including lectures, workshops, seminars, departmental colloquia and a rich range of collaborations with academic, industry and government. The Statistics Section is a key player in IX: an exciting new strategic initiative providing an environment for research, education and entrepreneurship across artificial intelligence, data science and digital technologies based at Imperial’s White City campus. Further details of the Section and its activities are available on Statistics Section’s website.

Full information on duties, responsibilities and criteria can be found in the Job Description.

Closing date: 7th December 2021

Further information:

Please see our Further Particulars for more information about the College and the benefits available to staff.

For informal discussions about this position, please contact Professor Guy Nason, Head of the Statistics Section (g.nason@imperial.ac.uk)

Queries relating to the application process should be directed to: Mrs Maria Monteiro, Senior Appointments Manager. (m.monteiro@imperial.ac.uk)

We are committed to equality of opportunity, to eliminating discrimination and to creating an inclusive working environment for all. We therefore encourage candidates to apply irrespective of age, disability, marriage or civil partnership status, pregnancy or maternity, race, religion and belief, gender identity, sex, or sexual orientation. We are an Athena SWAN Silver Award winner, a Disability Confident Leader and a Stonewall Diversity Champion.

The College is a proud signatory to the San-Francisco Declaration on Research Assessment (DORA), which means that in hiring and promotion decisions, we evaluate applicants on the quality of their work, not the journal impact factor where it is published. For more information, see https://www.imperial.ac.uk/research-and-innovation/about-imperial-research/research-evaluation/

The College believes that the use of animals in research is vital to improve human and animal health and welfare. Animals may only be used in research programmes where their use is shown to be necessary for developing new treatments and making medical advances. Imperial is committed to ensuring that, in cases where this research is deemed essential, all animals in the College’s care are treated with full respect, and that all staff involved with this work show due consideration at every level.

http://www.imperial.ac.uk/research-and-innovation/about-imperial-research/research-integrity/animal-research/


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Postal Mail:
Department of Mathematics
Imperial College London
South Kengsington Campus
London
SW7 2AZ
Web Page: https://www.imperial.ac.uk/jobs

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