Research positions available in machine learning at all levels: Research Fellow, Postdoc, PhD s[...]

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

Research positions available in machine learning at all levels: Research Fellow, Postdoc, PhD student. Turing AI Fellowship, Univ Manchester, UK

Still some positions available in my new research group funded by the Turing AI World-Leading Researcher Fellowship: Human-AI Research Teams: Steering AI in Experimental Design and Decision-Making.

Positions are available at all stages; we seek to fill most positions now but leave some for future years as well:

– Research Fellow
– Postdoc
– PhD Student

The work involves probabilistic modelling in exciting new settings, and developing new methods for probabilistic machine learning and inference. Applicants with outstandingly strong expertise in one of following topics are welcome, or strong expertise in one and keen interest in working with expert colleagues on the others: automatic experimental design, Bayesian inference, human-in-the-loop learning, advanced user modelling, machine teaching, privacy-preserving learning, reinforcement learning, inverse reinforcement learning, simulator-based inference, likelihood-free inference.

There will be particularly good opportunities to join new work on collaborative modelling and decision-making with AI. And applications in drug design, synthetic biology, personalized medicine, and digital twins.

The positions are in the University of Manchester, which has recently strengthened its position as a centre for research into AI fundamentals and impactful applications, featuring:

– Brand-new ELLIS Unit Manchester (press release out any minute now…)
– Partnership with the Alan Turing Institute
– New Centre for Fundamentals of AI, with a number of excellent new faculty members joining
– Institute for Data Science and AI, with >900 researchers
– Excellent university with outstanding collaborators in other strong fields within a walking distance on the same campus
– Dual positions can be negotiated with research groups in cancer research, biotechnology, digital twins, medicine and health, both in academia, hospitals and companies. Get in touch.
– Most livable city in the UK

More info on the Turing AI World-Leading Researcher Fellowships: