Postdoctoral Research Assistant in Probabilistic Machine Learning

1 month ago


Manchester, United Kingdom The International Society for Bayesian Analysis Full time
Research Opportunities in Probabilistic Machine Learning

The International Society for Bayesian Analysis is seeking a highly skilled Postdoctoral Research Assistant to join our team in Manchester, UK. As part of our Human-AI Research Teams – Steering AI in Experimental Design and Decision-Making project, funded by the UKRI Turing AI World-Leading Researcher Fellowship programme, we aim to develop machine learning systems that assist in experimental design and decision-making.

Our research focuses on fundamental research in probabilistic modelling and Bayesian inference, applied to the challenges of steering machine learning systems, particularly when goals are not precisely specified. The successful candidate will have the opportunity to work on advanced user modelling, automatic experimental design, Bayesian inference, human-in-the-loop learning, machine teaching, privacy-preserving learning, reinforcement learning, and simulator-based inference.

We are looking for a researcher who can contribute to the development of machine learning systems that assist in experimental design and decision-making. The team will have excellent opportunities to apply these methods to medicine, especially cancer research and remote medicine; experimental design in synthetic biology and drug design; and digital twins.

Key Responsibilities:

  1. Conduct research in probabilistic modelling and Bayesian inference
  2. Develop machine learning systems that assist in experimental design and decision-making
  3. Collaborate with the team to apply these methods to various application fields

Requirements:

  • PhD in a relevant field
  • Strong background in machine learning and probabilistic modelling
  • Excellent programming skills
  • Good communication and collaboration skills


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