The School of Engineering Mathematics and Technology at the University of Bristol is seeking to make an academic appointment in Financial Technology either at Lecturer, Senior Lecturer or Associate Professor level. The successful candidate will join us at an exciting time – Bristol has a rapidly expanding profile in AI, including leading three UKRI AI hubs and the ProAI Centre for Doctoral Training. We host the UK’s national Isambard AI supercomputer and the University of Bristol was AI University of the Year in 2024. Our School has a rich interdisciplinary applications environment with particular strengths in developing the fundamentals of AI and also in applying AI in Financial Technology and other areas such as Digital Health, and Robotics and Autonomous Systems. Our new Temple Quarter Innovation Campus will open in summer 2025, strengthening our connections with the rich tech start-up community in the Bristol area.
What will you be doing?
The postholder will be expected to conduct internationally excellent research and will join our research group called the Financial Engineering Lab (FEL), which is a sub‑group of the Intelligent Systems Lab (ISL). We are particularly interested in candidates who research at the interface of Fintech and AI, and in areas related to computational finance and financial engineering, for example:
* AI for finance
* Automated trading
* Agent‑based modelling of financial systems
* Blockchain‑based decentralised finance
* Financial machine learning
The postholder will also be expected to carry out excellent research‑led teaching and related admin duties to support in particular our MSc Financial Technology with Data Science. For the Associate Professor level there will be leadership responsibilities across teaching and research.
You should apply if
Your research work involves financial technology (e.g., AI for finance, decentralised finance, etc.) and you have experience in teaching in this area (or a strong desire to do so for lecturer level). For the senior lecturer/associate professor level you should have strong evidence of leadership in research, teaching and administration. For the lecturer level we are seeking future leaders in their field and so we are looking for people who can demonstrate their leadership potential. We are particularly interested in candidates with experience of large‑scale data engineering on commercial cloud service stacks such as GCP, AWS, or MSAzure, and their associated machine learning platforms such as Sagemaker and Vertex, as well as candidates with experience of decentralised application development in Ethereum blockchains. For a full view of the responsibilities and our requirements, please refer to the attached candidate brochure.
Additional information
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/.
Work pattern: Full time
Grade: J/K/L/Pathway 1
Salary: Full time Grade: J / K / L
Grade J £43,482 - £50,253 per annum; Grade K £50,253 - £58,225 per annum. The grade of the role offered will be determined based on the skills, qualifications, and experience you bring to the position.
This advert will close at 23:59 UK time on Tuesday 3rd February 2026
School/Unit: Engineering Mathematics and Technology School Team
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.
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