Job description

Job summary

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

The Statistics Section in the Department of Mathematics undertakes research across a broad spectrum of applied probability and statistics. Current staff research interests include algebraic statistics, astrostatistics, Bayesian statistics including Bayesian nonparametrics, biostatistics, causal inference, change detection, clustering, computational Bayes, computational statistics, extreme values, finance, inverse problems, mathematical statistics, multiscale methods, networks, random measures, robust statistics, statistical signal and image processing, statistical machine learning, statistical theory, stochastic processes, survival analysis, time series and topological data analysis. 

We are interested in hiring an excellent candidate in ANY area of Statistics or Applied Probability. 

The Statistics Section offers two main 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 30 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.

Duties and responsibilities

As Chair or Reader, you will work in the area of Statistics within the Department of Mathematics. You will contribute to the academic mission of Imperial College London to deliver world class scholarship, education and research. In addition, you will be required to contribute to leadership and administration within the Department.

Essential requirements

To be successful, you will have:

• A PhD (or equivalent) in Statistics, Mathematics or a closely related discipline.
• An established national reputation and a developing international reputation and expertise in the field of Statistics, Mathematics or a closely related discipline.
• A significant track record in attracting high levels of research funding.
• An excellent record of research, evidenced by a portfolio of research publications, confirming national/ international standing (commensurate with career stage).
• Extensive experience of teaching at undergraduate and/or postgraduate level across a range of subjects in Statistics.

Further information

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

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

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)  

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/  

Documents

• Job description for Chair or Readership in Statistics.pdf