Research Fellow - Causality in Biological Systems at University College London
London, England, United Kingdom -
Full Time


Start Date

Immediate

Expiry Date

26 Sep, 25

Salary

52586.0

Posted On

07 Aug, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Good communication skills

Industry

Information Technology/IT

Description

ABOUT US

This is a two-year fellowship in the Gatsby Computational Neuroscience Unit (GCNU) funded by the UKRI AI Hub in Generative Models.
The AI Hub in Generative Models is a UK-wide research hub which will help to transform science, industry, the economy and society through developing the next generation of generative AI models, bringing together experts in Generative AI, from industry and academia, to collaborate on impactful projects.
The Gatsby Unit is a research centre at UCL supported by the Gatsby Charitable Foundation. Our work encompasses theoretical and computational neuroscience, computational statistics, machine learning and AI, threads drawn together by our focus on the mathematical foundations of adaptive intelligent behaviour.
The unit provides a unique environment in which a critical mass of researchers interact closely with each other and with other world-class research groups in related departments at UCL. The Unit has strong links with the Sainsbury-Wellcome Centre (SWC) for Neural Circuits and Behaviour, the Centre for Computational Statistics and Machine Learning, as well as other groups at UCL, and at institutions around the world. Collaboration within and outside the Unit is actively encouraged and supported through the provision of a generous annual travel allowance to support conference, workshop and collaborative research visits.

Responsibilities

Modern “virtual-cell” foundation models hope to one day predict how any combination of drugs or gene edits will affect living cells—but because of the complex interactions that arise in biological systems, this will only be possible if we can design the right experiments to collect data to train them. In this role you will create new statistically efficient causal and interaction models with the aim of elucidating cellular interactions. and develop machine learning methods relevant to the task-domain, including causal and generative models. The successful candidate will work day-to-day with Prof Arthur Gretton (UCL) and Dr Jason Hartford (Manchester) and will deploy successful methods to co-designing new CRISPR screens with Dr Mo Lotfollahi (Wellcome Sanger Institute).

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