Lecturer in Machine Learning and Big Data Analytics
Imperial College London - Department of Mathematics and Data Science Institute
|Salary:||£46,410 to £52,350 per annum|
|Placed on:||3rd October 2016|
|Closes:||28th November 2016|
Salary range: £46,410- £52,350 per annum
Imperial College London is a world leading university whose reputation for excellence in research and teaching attracts students and staff of the highest international quality. The three Faculties – Engineering, Natural Sciences and Medicine - together with the Business School explore the interface between science, medicine, engineering and management.
The Statistics section of the Department of Mathematics and the Data Science Institute seek applications for a joint lectureship, a permanent appointment to start in 2017. The post holder will work at the interface of statistical science and data science. Further information about the Statistics Section can be found at www3.imperial.ac.uk/statistics, and information about the Data Science Institute can be found at www.imperial.ac.uk/data-science. Candidates will have a PhD (or equivalent) in Statistics or a closely related discipline, and will have research interests at the intersection of statistical science or data science. Candidates must be able to demonstrate a strong research record. Some experience of teaching at undergraduate and/or postgraduate level across a range of subjects in Statistics, and a track record is essential. It is also essential that candidates are able to show evidence of the ability to secure research funding and sustaining a vigorous research programme.
For informal discussions about this position, please contact Professor Niall Adams, Head of the Statistics Section (firstname.lastname@example.org), or Professor, Yike Guo, Director of the Data Science Institute (email@example.com).
Applications should be made by submitting the completed Lecturer (Clinical and Non-Clinical) application and Recruitment monitoring form, along with your full CV, to be sent via email to Ms Angela Kehoe, Senior HR Manager, Telephone: 00 44 (0) 20 7594 5653, e-mail: firstname.lastname@example.org reference number NS2016198KL
Committed to equality and valuing diversity. We are also an Athena Bronze SWAN Award winner, a Stonewall Diversity Champion and a Two Ticks Employer.
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