Research Associate/Senior Research Associates in Computational Neuroscience and Machine Learning (2 roles)

University of Bristol

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Town/City:

Bristol


Position type:

Full time


Salary:

£34,304 - £43,434

02 Aug 2022
16 Aug 2022

Full details:

Reference number: BRI-ACAD106228

The role

Two postdoctoral positions are available to work at the intersection of computational neuroscience and machine learning, funded by a grant from the Medical Research Council. You will develop a new generation of AI-driven computational models capable of learning challenging tasks while being consistent with a range of experimental findings.

Diversity leads to new creative solutions. We strongly encourage applications from under-represented groups, such as women, racial and ethnic or any other minorities (we are also a member of ALBA, a network for diversity in neuroscience). Bristol is known for its exciting mix of cultures and backgrounds, making it a unique open-minded city to live in.

 

What will you be doing?

The job-holder will be based in the Neural and Machine Learning group (neuralml.github.io) led by Rui Ponte Costa at the University of Bristol Computer Science Department. There is the opportunity to collaborate with leading experimental neuroscience groups, such as the Mellor Lab (Bristol), Kepecs Lab (Washington), Poort Lab (Cambridge) and Khan Lab (Kings College), but also leading machine learners, such as ‪Caglar Gulcehre (Google Deepmind) and Yoshua Bengio (MILA). You will be part of the lively Bristol Computational Neuroscience Unit, Intelligent Systems Labs.

This post is offered on a full time, fixed term contract for 6 months in a first instance, beginning around September 2022.

 

You should apply if

You should ideally have a PhD in Computational Neuroscience or Machine Learning, but we also welcome applications from interested candidates with PhDs in related disciplines such as Neurobiology, Computer Science, Physics, Mathematics, or related.

 

We welcome applications from all members of our community and are particularly encouraging those from diverse groups, such as members of the LGBT+ and BAME communities, to join us.

Remember to mention Global Academy Jobs when you apply