Research Fellows and Postdocs in Probabilistic Machine Learning and Bayesian Inference
Aug 11, 2021
I am looking for researchers to join my new team in Manchester, UK, funded by the UKRI Turing AI World-Leading Researcher Fellowship programme "Human-AI Research Teams – Steering AI in Experimental Design and Decision-Making". Closing date of call: September 6, 2021.
The 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. Our aim is to develop machine learning systems that assist in experimental design and decision-making.
Keywords include: advanced user modelling, automatic experimental design, Bayesian inference, human-in-the-loop learning, machine teaching, privacy-preserving learning, reinforcement learning, and simulator-based inference. Mastery of all these areas is not expected; however, if you have expertise in multiple areas, please apply.
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. We have top-notch collaborators in each area, both in academia and industry, locally and internationally. Jointly funded positions with partner companies, hospitals, or collaborator groups can also be discussed.
For more information about these positions and a link to the application portal, please refer to the following:
- Great university with fluent collaboration with outstanding groups in various application fields.
- It is the place to be right now for machine learning, with a new Fundamental AI Research Centre launching alongside existing AI activities, including the Turing Institute partnership with 27 Turing Fellows and ELLIS Fellows.
- The most livable city in the UK (https://www.investinmanchester.com/why-manchester/living-in-manchester/quality-of-life).
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