Job Description

The role

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The University of Bristol is seeking to appoint a Lecturer, Senior Lecturer, or Associate Professor in Data Science. You will join an existing group of 20+ academic colleagues engaged in data science research and in teaching on our family of four data science MSc degrees, alongside another 100 academic colleagues within our School of Engineering Maths and Technology. The University was crowned "AI University of the Year" at the 2024 National AI Awards, and is home to the new 220M National AI supercomputer Isambard.AI. You will contribute to our teaching in data science and should complement our interdisciplinary research culture in one of the four broad domains: data science for psychiatry and mental health-care; data-intensive computational neuroscience; data-intensive bioinformatics; and/or data science for economics/finance. You will join a vibrant and intensive research environment within the University, which was ranked fifth for research in the 2021 UK Research Excellence Framework. Fractional appointments (e.g. 50% of full-time) will be considered for exceptional candidates.

What will you be doing?

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You will be expected to produce high-quality research outputs individually, and/or with postgraduate students, and/or with academic colleagues in Bristol and/or at other universities in the UK and beyond. You should have a demonstrable potential to secure research funding, including through engagement with industry and other external partners. You will be expected to contribute to the effective running of the School by undertaking academic administration and leadership roles as specified by your line manager, and to take an active role in providing high quality and innovative teaching and assessment by contributing to one or more of our degree programmes in MSc Data Science, MSc Financial Technology with Data Science, MSc Economics with Data Science, and/or MSc Business with Data Science. You should also be an engaged personal tutor and/or project-supervisor to our taught students.

You should apply if

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You should be comfortable working in teams. You should have experience of teaching a range of topics in data science, or demonstrate a clear commitment to doing so. You'll have a strong research track-record in data-intensive research: either in core data science R&D, or in the application of data science tools and techniques to one or more challenging research areas. Experience of developing and applying data science in commercial contexts (industry/business) is particularly welcome. You will be expected to provide input to the overall strategic vision and ambition for the School. You should be willing to develop and/or demonstrate leadership skills, allowing you to effectively work collaboratively with groups of internal and external partners; and be able to act as a role model to our students and to other staff.

Additional information

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For informal queries, please contact: Felipe Campelo, Associate Professor in Data Science Email: f.campelo@bristol.ac.uk

To find out more about what it's like to work in the Faculty of Engineering, and how the Faculty supports people to achieve their potential, please see our staff blog:

https://engineering.blogs.bristol.ac.uk/category/engineering-includes-me/

Contract type: Open ended

Work pattern: Full time

Grade: J/K/L Pathway 1

Salary: Grade J or K in the range 43482- 58225 or on Grade L in the

range 59966 - 67468 per annum depending on experience

School/Unit: School of Engineering Mathematics and Technology

This advert will close

at

23:59 UK time

on 25/01/2026

Our strategy and mission

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We recently launched our strategy to 2030 tying together our mission, vision and values.

The University of Bristol aims to be a place where everyone feels able to be themselves and do their best in an

inclusive working environment where all colleagues can thrive and reach their full potential.

We want

to attract, develop, and retain individuals

with different experiences, backgrounds and perspectives - particularly people of colour, LGBT+ and disabled people - because diversity of people and ideas remains integral to our excellence as a global civic institution.


JOB NUMBER

ACAD108395

CONTRACT TYPE/WORK PATTERN

Open ended / Full time

POSTING END DATE

25 Jan 2026

FACULTY/DIVISION

Faculty of Science and Engineering

SALARY

Grade J 43,482 - 50,253 per annum; Grade K 50,253 - 58,225 per annum; Grade L 59,996 - 67,486 per annum