AI Research Fellow / Postdoc – Probabilistic ML

The International Society for Bayesian Analysis; Manchester; On-site; GBP 30,000 - 65,000; Full time

Job summary

The International Society for Bayesian Analysis is seeking to fill research positions in machine learning at various levels at the University of Manchester. Candidates will engage in groundbreaking research funded by the Turing AI World-Leading Researcher Fellowship, focusing on probabilistic modelling in diverse areas including human-AI interaction and drug design. Ideal applicants will have strong expertise in specific machine learning topics and a passion for collaborative research.

Qualifications

• Expertise in machine learning, particularly in Bayesian methods and probabilistic modelling required.
• Strong background in one or more specific areas such as reinforcement learning or experimental design.
• Interest in collaboration within multidisciplinary teams, especially in drug design and AI applications.

Responsibilities

• Develop new methods for probabilistic machine learning and inference.
• Engage in collaborative research projects involving AI in experimental design.
• Contribute to studies in drug design and personalized medicine.

Skills

Bayesian inference

Probabilistic modelling

Machine teaching

Automated experimental design

Reinforcement learning

Privacy-preserving learning

Simulator-based inference

Inverse reinforcement learning

Likelihood-free inference

Education

PhD in relevant field

Job description

The International Society for Bayesian Analysis is seeking to fill research positions in machine learning at various levels at the University of Manchester. Candidates will engage in groundbreaking research funded by the Turing AI World-Leading Researcher Fellowship, focusing on probabilistic modelling in diverse areas including human-AI interaction and drug design. Ideal applicants will have strong expertise in specific machine learning topics and a passion for collaborative research.