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Lecturer / Senior Lecturer in Engineering with AI

Lecturer / Senior Lecturer in Engineering with AI

University of Bristol - School of Physiology, Pharmacology and NeuroscienceBristol, CT, US
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Overview

Join to apply for the Lecturer / Senior Lecturer in Engineering with AI role at University of Bristol - School of Civil, Aerospace and Design Engineering (CADE) . The School is seeking to make a permanent appointment to the position of Lecturer or Senior Lecturer in Engineering with Artificial Intelligence (AI). Bristol was recently announced as "AI University of the Year" and this appointment reflects the School's strategic commitment to AI for Engineering applications. The post will support the new postgraduate-taught programme in Engineering with AI (first intake planned for September 2026). The successful candidate will be expected to organise and potentially lead aspects of the teaching of this programme and contribute undergraduate teaching in machine learning (ML) and AI across existing Aero, Civil and Design programmes. The appointee will be appointed to a Grade J, K (Lecturer), or L (Senior Lecturer) position, based on skills, experience, and qualifications. The University aims to be inclusive and welcoming, supporting colleagues to reach their potential.

What will you be doing?

Role holders will be responsible for research, teaching, and related administration at undergraduate and postgraduate taught levels. For the senior lecturer level, the role will entail leadership in developing and overseeing research and teaching activities at all levels, with significant leadership and / or management contributions in research and teaching. Lecturer-level appointees are expected to contribute actively to teaching and research initiatives while developing independent portfolios. Senior Lecturer-level appointees should demonstrate a proven track record in independent teaching and research, securing external funding, long-term strategic planning, and contributing to management and leadership within the group.

The Main Purpose Of This Position Is To

  • develop and deliver high-quality teaching on the new MSc Engineering with AI programme and support the management of the programme
  • conduct high-quality research in the area of machine learning and AI as applied to engineering problems

The position will also provide effective academic administration within the CADE School of Engineering. The post will be on Pathway 1 (see Section 7 in Further Particulars).

Responsibilities

  • Deliver high-quality teaching on the MSc Engineering with AI programme and support programme management
  • Conduct and lead research in ML / AI as applied to engineering problems
  • Provide academic administration within CADE School of Engineering
  • Contribute to overall teaching and research initiatives and, for Senior Lecturer, demonstrate leadership in research and teaching activities

    • Qualifications and Experience

  • A strong research background in ML / AI applied to engineering problems relevant to the School (e.g., aerodynamics, fluids, aeroacoustics, composite structures, structural mechanics, flight dynamics, control)
  • A proven ability to perform independent research and collaborate effectively
  • A clear and innovative vision for future research that complements CADE activities
  • A passion for teaching with the ability to develop and deliver engaging education in ML / AI for engineering
  • A collaborative approach to research and teaching; willingness to make a significant impact through both areas

    • Additional information

  • For informal queries please contact Christian Allen (c.b.allen@bristol.ac.uk) or Bassam Esaied (bassam.elsaid@bristol.ac.uk)
  • To find out more about working at the Faculty of Engineering, see the staff blog : https : / / engineering.blogs.bristol.ac.uk / category / engineering-includes-me /
  • Contract type : Open ended
  • Work pattern : Full time
  • Grade : J / K / L
  • 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
  • School / Unit : Civil, Aerospace and Design Engineering School Team

    • Expiry

    This advert will close at 23 : 59 UK time on Thursday, 16th October. Interviews anticipated to take place on Friday, 31st October.

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    Lecturer • Bristol, CT, US