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Lecturer (equivalent to Assistant Professor) in Machine Learning for Engineering
The School of Electrical and Electronic Engineering at the University of Sheffield seeks to appoint a Lecturer (equivalent to Assistant Professor) to build specialised expertise in the Machine Learning with a special focus on information theory.

Overview

The School of Electrical and Electronic Engineering seeks to appoint a Lecturer (equivalent to Assistant Professor) within the School’s Information and Communication theme and to build specialised expertise in the Machine Learning for Engineering sub-theme. Candidates from all areas in machine learning are encouraged to apply, with a special focus on the areas of (i) information theory and (ii) communications.

We seek ambitious researchers with a strong publication record and demonstrated potential to establish independent research programs of the highest calibre. Academic members will contribute to an environment of research excellence, scholarly activity, and high-quality teaching that will attract top students, world-leading researchers, and strategic industrial partners. The successful candidate will contribute to our vibrant research community and lead innovative research that addresses critical challenges in defence, and complex dynamical systems, and healthcare technologies, areas of growth for the School and aligned with the UKRI strategic priorities.

Please submit applications no later than March 30, 2026, using this link: .

Our diverse community of staff and students recognises the unique abilities, backgrounds, and beliefs of all. We foster a culture where everyone feels they belong and is respected. Even if your past experience doesn't match perfectly with this role's criteria, your contribution is valuable, and we encourage you to apply. Please ensure that you reference the application criteria in the application statement when you apply.

Applicants must provide the following documents when making their application - PDF documents are preferred:

  • CV (including a list of publications) 
  • Research Vision Statement
  • Teaching Vision Statement

A statement of published outputs in which you identify your three best peer reviewed publications.  For one of these you should provide a short statement of no more than 100 words describing the originality, significance and rigour (the extent to which the purpose of the work is clearly articulated, an appropriate methodology for the research area has been adopted, and compelling evidence presented to show that the purpose has been achieved) of the paper.