Imperial College London, Department of Mathematics

Position ID: 434-LIS [#18108, NAT00992]
Position Title: Lecturer/Senior Lecturer in Statistics
Position Type: Other
Position Location: London, United Kingdom [map]
Subject Area: Mathematics
Application Deadline: 2021/10/24 11:59PMhelp popup (posted 2021/09/07, listed until 2021/10/24)
Position Description:    

*** the list date or deadline for this position has passed. ***

Lecturer/Senior Lecturer in Statistics Department of Mathematics £60,762 – £68,987 plus benefits Full time, permanent Reference NAT00992 South Kensington Campus

Job summary The Statistics Section of Imperial’s Department of Mathematics is undergoing significant expansion and seeks applications for multiple new Lectureships starting January 2022 or as soon as possible thereafter. This expansion includes developing and deploying a new MSc programme that will be delivered entirely online. The Statistics Section at Imperial 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 live discipline so we welcome diverse applicants with experience with industrial, government or commercial collaboration. Further information about the Statistics Section can be found at http://www.imperial.ac.uk/statistics. 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 Statistics (traditional and online) and 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 will be able 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 These are full-time roles 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 Guy Nason, Head of the Statistics Section, g.nason@imperial.ac.uk

Should you have any general queries please contact: recruitment@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/


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Postal Mail:
Department of Mathematics
Imperial College London
South Kengsington Campus
London
SW7 2AZ
Web Page: http://www.imperial.ac.uk

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