Senior Research Associate In Probabilistic Ai

The role We invite applications for 2 Senior Post-Doctoral Research Associate positions to join the Prob_AI Hub. The vision of the Prob_AI 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-rigorous, 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. These two positions are available until 31st March 2025, one position will be based at Lancaster, but the other position can be based at any of the universities involved with the hub. Considering operational needs, we are ideally seeking a candidate who can start as soon as possible. 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 You should apply if A relevant postgraduate research degree in Mathematics, Statistics, Machine Learning, or a related discipline, or possess equivalent professional experience. A focus on 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. Please ensure you state clearly in your cover letter which position or positions you wish to be considered for when applying. These are full-time positions, though we will consider applicants requesting part-time or other flexible working arrangements. Applications must be made through this link.  Additional information Contract type: Open ended with fixed funding until 31/03/2025 This advert will close at 23:59 GMT on Wednesday 17th of April 2024 For informal queries, contact details: Professor Anthony Lee - anthony.lee@bristol.ac.uk Professor Paul Fearnhead, paul.fearnhead@lancaster.ac.uk Our strategy and mission We recently launched our strategy to 2030 tying together our mission, vision and values. 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.