Lecturer/Senior Lecturer in Statistics

The Statistics Section of Imperial’s Department of Mathematics conducts internationally excellent research across a broad range of areas including serious interdisciplinary research, the development of statistical methodology aimed at solving significant applied problems, and cutting-edge statistical theory. Applicants with strong track records of excellence in research and teaching are encouraged to apply. Statistics is a lively discipline, so we welcome diverse applicants with experience in industrial, government, or commercial collaboration. Further information about the Statistics Section can be found at http://www.imperial.ac.uk/statistics . Start date: September 2024.

Duties and responsibilities

You will work in the field of statistical science, broadly interpreted, and will undertake a self-directed program of research and scholarship at a level commensurate with the current standards of international excellence in the Section. The role will involve teaching in the MSc in Statistics, the MSc in Machine Learning and Data Science (online) and the Undergraduate Mathematics programmes, supervising Research and PhD students in addition to managing staff such as Research Associates. You will promote the reputation of the Statistics Section through scientific meetings, scholarship, and other outwardly-facing activities.

Essential requirements

• Hold a PhD (or equivalent) in Statistical Science or a closely related mathematical discipline
• Research interests in some field of statistical science or statistical learning and, ideally, the development of this field in an area of application
• Proven abilities to conduct a personal research programme at the highest level and to attract competitive research funding, and ability to demonstrate strong leadership potential
• Experience of collaborative research (desirable)
• Experience of teaching at undergraduate and postgraduate levels and an interest in online education
• Excellent verbal and written communication skills are essential, particularly with researchers in non-mathematical disciplines.

Further information

This is a permanent, full-time role but part-time may be considered for exceptional candidates.

Further information about the Department, and further particulars of the post, can be found at the website http://www.imperial.ac.uk/mathematics

For informal discussions about this position, please contact Professor Almut Veraart, Head of the Statistics Section, [email protected]

For technical issues when applying online please email [email protected] .

The College is currently trialling a Work Location Framework until early 2023. Hybrid working may be considered for this role and the role holder may be expected to work 60% or more of their time onsite, with 40% the minimum time spent onsite. The opportunity for hybrid working will be discussed at interview.

More information is available on the following web page: Work Location Categories (from 30 September 2023) tendersglobal.net Administration and support services tendersglobal.net Imperial College London

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 /

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