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A prestigious academic institution in Bristol is seeking a talented individual for an academic appointment in Financial Technology at Lecturer, Senior Lecturer, or Associate Professor level. The successful candidate will play a key role in advancing research and teaching in this rapidly growing area, particularly focusing on AI applications for finance. Ideal applicants will demonstrate leadership potential and have experience in cloud technologies and decentralized applications. Competitive salary range is offered based on experience.
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.
You should apply if your research work involves financial technology (e.g., AI for finance, decentralized 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.
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.