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Associate Lecturer in Data Science

University of the West of England
Bath
4 weeks ago
Applications closed

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About us: UWE, Bristol School of Computing and Creative Technologies is a leading provider of Higher Education programmes in the West of England. We provide undergraduate provision in computer science, software engineering, cyber security, information science, digital media and games and music technology and mathematics. We offer state of the art facilities to deliver professionally focussed programmes across our discipline range.

About you: Due to the growth in our programmes we are currently looking for associate lecturers to provide support for lectures, tutorials, computer labs, project supervision and marking of assessments in data science.

Associate lecturers are contracted for a fixed number of hours within an academic year. The current full rate of renumeration of £49.70 per unit of work covers (Teaching + preparation) teaching, associated marking and preparation.

We are looking for individuals who have a strong knowledge of core computing topics. We are specifically seeking expertise in

  • Machine learning
  • Data management
  • Artificial intelligence
  • Data visualisation and analytics
  • Data mining
  • Cloud computing
  • Natural language processing
  • User experience and design

You should have a relevant postgraduate qualification, preferably to PhD level and have some experience of working in a higher education environment.

UWE Bristolis an ambitious university, together, our people are working hard to advance knowledge, inspire people and transform futures. We are looking for people with the skills and ambition to help us achieve those aims.

Further information

Closing Date:5pm on Monday 7th July 2025.

Please note that early applications are encouraged as we reserve the right to close the advert should we feel able to appoint appropriate candidates.

UWE is committed to supporting and promoting equality and diversity to create an inclusive working environment. We believe this can be achieved through attracting, developing, and retaining a diverse range of staff from many different backgrounds who share our ambition to be a university recognised for the success and impact of our practice-oriented programmes; our strong industry networks and our inclusive global outlook.


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National AI Awards 2025

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