Imperial College London seeks a Chair or Reader in Statistics

Imperial College London seeks a Chair or Reader in Statistics

Imperial College London seeks a full-time, permanent Chair or Reader in Statistics in the Department of Mathematics.

About the Post
Job Title: Chair or Reader in Statistics
SalaryStarting salary: From £81,791 per annum (Chair); From £71,448 per annum (Reader)
LocationDepartment of Mathematics, South Kensington Campus
 Closing Date7 December 2021 (Midnight GMT)

About the Department
The Statistics Section in the Department of Mathematics is committed to research in Statistical Science, undertaking 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.

Two MSc programmes are offered: 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). The new online MSc is enabling significant expansion in the Statistics Section over the next few years, including multiple staff hires.
With 29 academic staff, many postdoctoral researchers, and over 50 PhD students, the Statistics Section offers an engaging, diverse, and lively research culture. It 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.

About Imperial College London
Imperial College London is the UK’s only university focussed entirely on science, engineering, medicine and business and we are consistently rated in the top 10 universities in the world.
You will find our main London campus in South Kensington, with our hospital campuses located nearby in West and North London. We also have Silwood Park in Berkshire and state-of-the-art facilities in development at our major new campus in White City.
We work in a multidisciplinary and diverse community for education, research, translation and commercialisation, harnessing science and innovation to tackle the big global challenges our complex world faces.
It’s our mission to achieve enduring excellence in all that we do for the benefit of society, and we are looking for the most talented people to help us get there.
Further information
Please see the 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)