Professor of Artificial Intelligence

University of Bristol
Bristol
2 months ago
Applications closed

Related Jobs

View all jobs

Lecturer / Senior Lecturer in Artificial Intelligence - (7931)

Lecturer / Senior Lecturer in Artificial Intelligence

AI & Computer Vision Associate (KTP Associate)

Data Scientist Assistant

Geospatial Artificial Intelligence Research Scientist

Research Software Engineer: Geospatial Artificial Intelligence (Geo-AI)

The role


The School of Engineering Mathematics and Technology at the University of Bristol is seeking to appoint a Professor of Artificial Intelligence.


The successful candidate will join us at an exciting time. Bristol has a rapidly expanding profile in AI, including leadership of three UKRI AI hubs and the ProAI Centre for Doctoral Training. We host the national Isambard AI supercomputer, and the University of Bristol was named AI University of the Year 2024.


Our School has a rich interdisciplinary environment with particular strengths in Digital Health, Robotics, and Autonomous Systems. We are launching several new undergraduate and MSc programmes in AI, supported by multiple Faculty appointments across 2025–27. Our new Temple Quarter Enterprise Campus, scheduled to open in 2026, will provide a vibrant hub for research, innovation, and collaboration. Several specialist initiatives including the Temple Quarter Research Hub and community micro-campuses are already active, strengthening our connections with Bristol’s thriving tech and creative sectors.


What will you be doing?


The successful candidate will provide academic and strategic leadership within our AI community and will play a key role in shaping the direction of a fast-growing School.

Responsibilities include:

  • Conducting world-class research in AI and developing strategies for securing research funding for both your group and the wider AI community within the School.
  • Delivering high-quality, research-informed teaching that enriches the student experience.
  • Fostering a positive, inclusive, and supportive working culture, prioritising staff well-being, development, and retention.


You should apply if


You have a strong track record of foundational contributions to AI research and are either:

  • already an established full Professor, or
  • on a strong upward career trajectory with clear potential for leadership within the discipline and the wider University environment.


We particularly welcome applicants who hold prestigious fellowships such as UKRI Future Leaders, EPSRC Open, and ERC awards. We are especially interested in candidates who complement and extend our existing AI research portfolio in areas including:

  • Natural Language Processing and Large Language Models
  • Distributed and Collective Artificial Intelligence
  • Reinforcement Learning and Multi-Agent Systems
  • Scientific Machine Learning
  • AI in Robotics (Embodied AI)


For a full description of responsibilities and selection criteria, please refer to the attached candidate brochure.


Additional information


Contract type: Open ended

Work pattern: Monday - Friday, 35 hours per week

Grade: Grade M - Professorial Range 2

Salary: Competitive

School/Unit: The School of Engineering Mathematics and Technology, Faculty of Science and Engineering

This advert will close at 23:59 UK time on Wednesday, 31st January.

The interview date will be confirmed in due course.

For any informal enquiries, please contact Professor Jonathan Lawry, ().


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.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.

What Hiring Managers Look for First in AI Job Applications (UK Guide)

Hiring managers do not start by reading your CV line-by-line. They scan for signals. In AI roles especially, they are looking for proof that you can ship, learn fast, communicate clearly & work safely with data and systems. The best applications make those signals obvious in the first 10–20 seconds. This guide breaks down what hiring managers typically look for first in AI applications in the UK market, how to present it on your CV, LinkedIn & portfolio, and the most common reasons strong candidates get overlooked. Use it as a checklist to tighten your application before you click apply.

The Skills Gap in AI Jobs: What Universities Aren’t Teaching

Artificial intelligence is no longer a future concept. It is already reshaping how businesses operate, how decisions are made, and how entire industries compete. From finance and healthcare to retail, manufacturing, defence, and climate science, AI is embedded in critical systems across the UK economy. Yet despite unprecedented demand for AI talent, employers continue to report severe recruitment challenges. Vacancies remain open for months. Salaries rise year on year. Candidates with impressive academic credentials often fail technical interviews. At the heart of this disconnect lies a growing and uncomfortable truth: Universities are not fully preparing graduates for real-world AI jobs. This article explores the AI skills gap in depth—what is missing from many university programmes, why the gap persists, what employers actually want, and how jobseekers can bridge the divide to build a successful career in artificial intelligence.