Senior Research Associate in Probabilistic AI

University of Bristol Law School; Bristol; On-site; GBP 43,000 - 51,000; Full time

Job summary

A leading UK university is seeking a Senior Post-Doctoral Research Associate to join the Prob_AI Hub. This position involves undertaking research in probabilistic AI, publishing findings, and developing methodologies. Candidates should possess a relevant postgraduate degree and strong mathematical skills. The role offers a salary of £43,482 - £50,253 per annum and can accommodate flexible working arrangements.

Qualifications

• A relevant postgraduate research degree or equivalent professional experience.
• Interest in mathematical understanding of AI.
• Demonstrated academic writing ability.

Responsibilities

• Support and undertake research for the Prob_AI Hub.
• Engage with partner institutions and industrial partners.
• Attend project meetings, events, and conferences.

Skills

Mathematical skills

Statistical knowledge

Machine Learning

Education

Postgraduate research degree in Mathematics, Statistics, or related field

Job description

Overview

We invite applications for a Senior Post-Doctoral Research Associate position 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 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.

Responsibilities

• 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.
• 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.

Additional information

Contract type: Open ended with fixed funding for 3 years or until January 31, 2029, whichever is earlier.

Work pattern: Full time, although we will consider applicants requesting part-time or other flexible working arrangements.

Grade: J/Pathway 2

Salary: £43,482 - £50,253 per annum

School/Unit: School of Mathematics

This advert will close at 23:59 UK time on 09/10/2025

For informal queries, please contact: Professor Anthony Lee, [e-mail]

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.