University of Essex, Mathematical Sciences

Position ID: 2926-L1 [#20029, REQ05950]
Position Title: Lecturer in Statitics
Position Type: Academic admissions
Position Location: Colchester, County (optional) CO4 3SQ, United Kingdom [map] sort by distance
Subject Area: Statistics
Application Deadline: 2022/06/17 11:59PMhelp popup finished (2022/05/16, finished 2022/12/24, listed until 2022/06/17)
Position Description:    

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Department of Mathematical Sciences (DMS) This is an exciting opportunity to join the Department of Mathematical Sciences (DMS). The Department is a growing and vibrant department in the Faculty of Science and Health. DMS is internationally known for its research in a range of areas and offers an excellent education to its students.

The research of the department is structured in several research themes in different areas of Data Science and Mathematics. The new Lecturers are expected to contribute to the Research Theme of Statistical Methodology. We wish to add capability to the Department’s existing research in this area as well as open up and develop new research activities that will become recognized as outstanding and internationally leading. Of special interests are Bayesian computational statistics, causal inference and biostatistics and statistical interface with big data and data privacy applications.

We are now looking to appoint two Lecturers in Statistics to be a part of the department expansion strategy to improve its research profile in statistics and the provision of statistics and data science teaching and learning. The post may include teaching on our actuarial science, data science and statistics courses at undergraduate and/or postgraduate level. This may include delivering statistics, data science, or actuarial science modules with existing lecture materials and developing new master level modules. It will also include supervising Statistics, Data Science and Actuarial Science master students.

Applicants should have evidence of a clear publication plan for submission to future Research Excellence Framework (REF) programmes and evidence of a research agenda, engagement in high-quality research activity and a developing research profile, along with a relevant doctoral level research degree in Mathematics or Statistics or related discipline or equivalent professional experience or practice or be close to completion of PhD. You will also have experience of designing and planning learning activities, developing effective learning environments and approaches to student support and guidance and research interests in some field of statistical methodology or applied probability.

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Contact: Sophie Bromage, 01206872595
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