Are you interested in applying cutting-edge data-driven methodologies to a wide range of interdisciplinary fields? We are offering six fully funded PhD studentships, providing a stipend of approximately £26,000–£28,000 (net) annually. Potential PhD topics span all the research areas in the School of Engineering Mathematics and Technology at the University of Bristol. These studentships include a year of collaborative team-based training and leadership development. In return, successful candidates will contribute to supporting our Data Science MSc students; therefore, an enthusiasm for teaching is essential.

At the University of Bristol, we strive to build a culture of inclusion and empathy where people can be themselves at work, recognising the value that diversity of people, perspective and experience bring to our ability to innovate and to maintain our position as a leading research-intensive university.

For more information, see our post on how to apply. The deadline for applications is 26 February 2025.

Applying to the Data-Driven Engineering and Sciences PhD Programme

 Posted on 28 January 2025  |  David A. W. Barton

We are building a new cohort-based PhD programme that is based on a first year of high-quality training in research and leadership. We are aiming to recruit six students. You will be a team; you will work and learn together. We expect that you will come from diverse backgrounds across STEM (Science, Technology, Engineering, and Mathematics). So, when you are selected, we will work with each of you to provide your own personalised first year of training and research. [Read More]

Isambard-AI: supercomputing at Bristol

 Posted on 19 January 2025  |  David A. W. Barton

Isambard-AI is set to become the UK’s fastest and most powerful supercomputer, purpose-built for AI research following build completion in Summer 2025. Designed to provide open-source intelligence, it will transform research and drive AI-led breakthroughs in critical areas like automated drug discovery and climate research. There is also significant potential to recycle its heat output for nearby infrastructure. Built in a climate-controlled modular data centre and backed by cutting-edge Hewlett Packard Enterprise and NVIDIA technology, phase one of Isambard-AI is already up and running, and despite only representing a small part of the overall machine, is currently the second greenest supercomputer in the world and the 128th most powerful. [Read More]