Lecturer/Senior lecturer/Reader in Mathematics Ref 9878
Hours: full time part time hours considered
Requests for flexible working options will be considered (subject to business need).
Salary: starting at £43,414 to £51,805 (Lecturer B)/£53,353 to £61,823 (Senior Lecturer/Reader) per annum, pro rata if part time
Placed on: 14 November 2022
Closing date: 13 January 2023. Applications must be received by midnight of the closing date.
Expected Interview date: Mid February 2023
Expected start date: April 2023 or as soon as possible thereafter
The University of Sussex invests in Mathematics
The Department of Mathematics at the University of Sussex invites applications for the position of Lecturer/Senior Lecturer/Reader in Mathematics in the field of Data Science with particular focus on application driven impact related research.
Areas of interest include:
- mathematical aspects of machine learning, deep learning and AI
- life sciences including human health
- inverse problems with applications to stochastic models and uncertainty quantification
This post is one of three new positions that are being advertised within the Department to enable further expansion in response to increasing student numbers and external research funding success. The intent is to complement or complete the existing competences in our Department.
The successful candidate will be an independent, enthusiastic and committed academic with a top research track record who is a team player and would enjoy working in a young, dynamic and growing Department.
In the 2021 research excellence framework (REF), 98% per cent of our research outputs were classified as world-leading (4*) or internationally excellent (3*).
Current research in mathematics at Sussex is grouped into Analysis and Partial Differential Equations, Geometry and Topology, Mathematics Applied to Biology, Mathematical Physics, Numerical Analysis and Scientific Computing and Probability and Statistics.
Please indicate which position (Lecturer/Senior lecturer/Reader) you are applying for in your application.
Please contact Professor Peter Giesl firstname.lastname@example.org 01273 877442 for informal enquiries.
The University is committed to equality and valuing diversity, and applications are particularly welcomed from women and black and minority ethnic candidates, who are under-represented in academic posts in Science, Technology, Engineering, Medicine and Mathematics (STEMM) at Sussex.
The University of Sussex values the diversity of its staff and students and we welcome applicants from all backgrounds.
You can find out more about our values and our EDI Strategy, Inclusive Sussex, on our webpages.
The University requires that work undertaken for the University is performed from the UK.
Visa Sponsorship Queries:
This role has been assigned an eligible SOC code and meets the salary requirements for Skilled Worker Sponsorship if full time. Please consult our Skilled Worker Visa information page for further information about Visa Sponsorship.
How to apply
Download our academic application form [DOC 199.50KB] and Personal Details and Equal Opportunities Form [DOC 119.50KB] and fill in all sections.
Email your completed application, and personal details and equal opportunities form, to email@example.com
You should attach your application form and all documents to the email in PDF format (we are unable to accept applications as google.docs or .pages) and use the format job reference number / job title / your name in the subject line.
You can also send your application by post to Human Resources Division, Sussex House, University of Sussex, Falmer, Brighton, BN1 9RH.