The School of Civil, Aerospace and Design Engineering (CADE) is seeking to appoint a permanent Lecturer or Senior Lecturer in Engineering with Artificial Intelligence (AI). This reflects the School's strategic commitment to AI in engineering, following Bristol's recent recognition as "AI University of the Year."
We welcome applicants with strong academic or industrial research backgrounds. You should demonstrate deep knowledge of your research area and present clear plans for future research that complement and expand existing activities.
This post will support the launch of a new MSc in Engineering with AI (first intake September 2026). The successful candidate will contribute to the design, delivery, and potentially leadership of this programme. You will also support undergraduate teaching in machine learning (ML) and AI across our Aero, Civil, and Design programmes, all ranked in the UK's top five.
If you're passionate about advancing engineering science through AI and eager to collaborate with leading experts, we encourage you to apply. Appointment will be at Grade J, K (Lecturer), or L (Senior Lecturer), depending on experience and qualifications.
What will you be doing?
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You will contribute to research, teaching, and academic administration at undergraduate and postgraduate levels. Senior Lecturers will take on leadership roles in developing and overseeing research and teaching, with a significant contribution to strategic planning and management.
Lecturers (Grades J/K) will actively support the School's teaching and research while building independent portfolios. Senior Lecturers (Grade L) should demonstrate a strong track record in independent research, securing funding, strategic development, and leadership within academic teams.
Main Purpose of the Role
Deliver high-quality teaching on the new MSc Engineering with AI and support its management.
Conduct impactful research in ML and AI applied to engineering challenges.
Provide effective academic administration within CADE.
This post is on Pathway 1 (see Section 7 in Further Particulars).
You should apply if
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A strong research background in ML/AI applied to engineering (e.g. aerodynamics, fluids, aeroacoustics, composites, structures, flight dynamics, control).
Proven ability to conduct independent research and collaborate effectively.
A clear, innovative vision for future research that enhances CADE's current strengths.
A passion for teaching and delivering engaging, high-quality education in ML/AI.
A collaborative approach to both research and teaching.
Additional information
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For informal queries please contact:
Christian Allen (
c.b.allen@bristol.ac.uk
)
Bassam Esaied (bassam.elsaid@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:
School/Unit: Civil, Aerospace and Design Engineering School Team
This advert will close
at
23:59 UK time
on
Sunday 2nd November.
The interviews are anticipated to take place on Wednesday 19th November.
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
ACAD108269
CONTRACT TYPE/WORK PATTERN
Open ended / Full time
POSTING END DATE
02 Nov 2025
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
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