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Lecturer in the Data-Centric Engineering Group (E&R)

University of Exeter - College of Engineering, Mathematics & Physical Sciences

Location: Exeter
Salary: The starting salary will be from £35,845 on Grade F, depending on qualifications and experience
Hours: Full Time
Contract Type: Permanent
Placed On: 11th June 2021
Closes: 11th July 2021
Job Ref: P76484

The role

The University of Exeter is seeking to make an appointment into Datacentric Engineering group within the Department of Engineering. The University welcomes applications which build on Exeter’s growing research strengths in this area and face our research and teaching within the department, but makes connections to the Institute of Data Science and AI (, and the University’s partnership with the Alan Turing Institute ( We strongly welcome interdisciplinary applications, with research areas of interest including, but are not limited to:

  • Machine Learning and Artificial Intelligence with engineering (for example Machine Learning Control, Reinforcement Learning, Deep Learning, Safe AI, Trustworthiness and Ethics)
  • Uncertainty Quantification
  • High Performance / Scientific Computing

The position of Lecturer will be based in the Engineering department, led by Professor David Butler ( and affiliated to the Institute for Data Science and Artificial Intelligence ( The successful candidate will join the Datacentric Engineering group ( lead by Professor Tim Dodwell in our Exeter campus.

The University of Exeter seeks to consolidate its position as an international leader for global change research and application, and as part of that the Engineering department is focusing on the following strategic objectives: to deliver excellence in fundamental research, to drive translation of research into practical outcomes, to further develop our significant industry engagement enabling exploitation of IP, to build long term international partnerships, to actively support strategic regional and university initiatives, and to develop cross-college educational opportunities at all levels.

To help us achieve these objectives we seek to appoint an individual who has an interdisciplinary outlook and who will build upon our strengths by bringing together expertise in a range of complementary fields. The University of Exeter provides an excellent environment for interdisciplinary research. The post-holder is expected to develop strong working collaborations with the Global Systems Institute (, the Environment and Sustainability Institute ( and our Institute for Data Science and Artificial Intelligence ( We encourage proactive engagement with industry, business and community partners to enhance the impact of research and education and improve the employability of our students. We therefore particularly welcome applications from academic staff with strong connections and funded projects with industrial partners as well as those who are involved in projects which develop impact.

About you

For a Lecturer post you will have:

  • A PhD in Mechanical Engineering / Mathematics / Computer Science or a suitable related discipline and have an independent, internationally-recognised research programme in a relevant active field of research
  • Sufficient knowledge in engineering applications to develop relevant education and research programmes;
  • A strong record in attracting funding for research, or demonstrate potential to attract such funding
  • Teamwork skills to work in collaboration with existing members of the Engineering department, as well as colleagues in the wider College of Engineering, Mathematics and Physical Sciences;
  • An active approach to inter-disciplinary and multi-disciplinary research
  • Enthusiasm for delivering high quality undergraduate programmes
  • Strong connections and funded projects with business and community partners
  • Involvement in projects which develop impact.

Please ensure you read our Job Description and Person Specification for full details of this role.

Informal enquiries can be directed to Professor Tim Dodwell, Chair in Computational Mechanics and Turing AI Fellow (01392 725899, or Professor David Butler, Head of Engineering (01392 724064,

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