YOU SHOULD APPLY IF

You have:

• A relevant postgraduate research degree in Mathematics, Statistics, Machine Learning, or a related discipline, or possess equivalent professional experience.
• An interest in developing a mathematical understanding of AI to enhance the reliability, interpretability, and uncertainty awareness of AI methods.
• Technical and mathematical skills required for such research, regardless of prior AI experience.
• Relevant mathematical backgrounds including, but not limited to: Bayesian statistics, computational statistics, inverse problems, numerical analysis, probability, statistical machine learning, stochastic analysis, and uncertainty quantification.
• You can demonstrate the ability to develop new methodology or advance mathematical understanding.
• A demonstrated ability to produce academic writing of the highest publishable quality.

THE ROLE

We invite applications for a Senior Post-Doctoral Research Associate position to join the ProbAI Hub. The vision of the ProbAI hub is to develop a world-leading, diverse and UK-wide research programme in probabilistic AI. The hub will develop the next generation of mathematically principled, scalable and uncertainty-aware AI algorithms. This will be achieved through: bringing together world-leading researchers across Applied Mathematics, Computer Science, Probability and Statistics, who engage with a range of non- academic partners.
This Prob_AI Hub brings together research groups from the Universities of Lancaster, Bristol, Cambridge, Edinburgh, Manchester and Warwick. This position at Bristol is available immediately, for a fixed term of 3 years or until January 31, 2029, whichever is earlier.

WHAT WILL YOU BE DOING?

• Support and undertake research necessary to achieve the University of Bristol’s aims within the Prob_AI Hub.
• Publish in leading machine learning, AI, statistical, mathematical, or appropriate application journals.
• Contribute to publications in these journals jointly with other members of the project.
• Engage with other partner institutions and industrial project partners.
• Attend project meetings, events, workshops, and conferences.
• Develop code that implements the methods developed to support reproducible research practice