Imperial College London invites applications for a Chair or Reader in Statistics, to start from October 2022, or a date to be agreed. APPLICATIONS NOW CLOSED.
Role: Chair or Readership
Salary: from £81,791 (chair) from £71,448 (reader)
Tenure: Full-time, permanent
Location: South Kensington Campus
Closing Date: 17 June 22 Midnight GMT
About the RoleThe 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. 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.
About the Role
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. 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.
Job ResponsibilitiesYou 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. 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. 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. Further details of the Section and its activities are available on Statistics Section’s website.
Job Responsibilities
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. 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. 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. Further details of the Section and its activities are available on Statistics Section’s website.
Selection CriteriaWe are interested in hiring an excellent candidate in ANY area of Statistics or Applied Probability. Essential requirements are: 1) A PhD (or equivalent) in Statistics, Mathematics or a closely related discipline. 2) An established national reputation and a developing international reputation and expertise in the field of Statistics, Mathematics or a closely related discipline. 3) A significant track record in attracting high levels of research funding. 4) An excellent record of research, evidenced by a portfolio of research publications, confirming national/ international standing (commensurate with career stage). 5) Extensive experience of teaching at undergraduate and/or postgraduate level across a range of subjects in Statistics.
Selection Criteria
We are interested in hiring an excellent candidate in ANY area of Statistics or Applied Probability. Essential requirements are: 1) A PhD (or equivalent) in Statistics, Mathematics or a closely related discipline. 2) An established national reputation and a developing international reputation and expertise in the field of Statistics, Mathematics or a closely related discipline. 3) A significant track record in attracting high levels of research funding. 4) An excellent record of research, evidenced by a portfolio of research publications, confirming national/ international standing (commensurate with career stage). 5) Extensive experience of teaching at undergraduate and/or postgraduate level across a range of subjects in Statistics.
How To ApplyFull information on benefits, duties, responsibilities and criteria can be found in the Job Description. For informal discussions about this position, please contact Professor Guy Nason, Head of the Statistics Section by email to g.nason@imperial.ac.uk. Queries relating to the application process should be directed to: Mrs Maria Monteiro, Senior Appointments Manager by email to m.monteiro@imperial.ac.uk.
How To Apply
Full information on benefits, duties, responsibilities and criteria can be found in the Job Description. For informal discussions about this position, please contact Professor Guy Nason, Head of the Statistics Section by email to g.nason@imperial.ac.uk. Queries relating to the application process should be directed to: Mrs Maria Monteiro, Senior Appointments Manager by email to m.monteiro@imperial.ac.uk.