Chair or Readership in Statistics

Department of Mathematics

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Imperial College London, Exhibition Road, London, UK


  • Posted on: 28th Sep 2021
  • Salary: Internationally competitive
  • REF: NAT01007
  • Closes: 07th December 2021
  • Contract Type: Permanent
  • Hours: Full Time

Job description

Job summary

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.

Further information

Starting salary: From £81,791 per annum (Chair); From £71,448 per annum (Reader)

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 ( )

Queries relating to the application process should be directed to: Mrs Maria Monteiro, Senior Appointments Manager. ( )

Additional information

Please note that job descriptions cannot be exhaustive and the post-holder may be required to undertake other duties, which are broadly in line with the above key responsibilities.

All Imperial employees are expected to follow the 7 principles of Imperial Expectations:

  • Champion a positive approach to change and opportunity
  • Communicate regularly and effectively within, and across, teams
  • Consider the thoughts and expectations of others
  • Deliver positive outcomes
  • Encourage inclusive participation and eliminate discrimination
  • Develop and grow skills and expertise
  • Work in a planned and managed way

In addition to the above, employees are required to observe and comply with all College policies and regulations.

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.

For technical issues when applying online please email .

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