Chair or Readership in Statistics
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...
Job listing information
- Reference NAT01136
- Date posted 7 April 2022
- Closing date 17 June 2022
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.
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.
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 (email@example.com)
Queries relating to the application process should be directed to: Mrs Maria Monteiro, Senior Appointments Manager. (firstname.lastname@example.org)
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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.
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.
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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 reassignment, sex, or sexual orientation. We are an Athena SWAN Silver Award winner, a Disability Confident Leader and a Stonewall Diversity Champion.
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