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  Deep learning for behavioural genetics: understanding the basic structure of behaviour in worms and humans


   MRC Laboratory of Medical Sciences (LMS)

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  Dr A Brown  No more applications being accepted  Funded PhD Project (UK Students Only)

About the Project

We are looking for someone who likes to work complex datasets, to visualise them, and to understand what they mean. If you have a knack for quantitative data analysis and good coding skills and would like to learn more biology, we want to hear from you.

We use large high-resolution datasets to understand the basic structure of behaviour in worms and humans. The goal is to identify the most informative features for genetic association studies and whole-animal drug screens. This position would give you access to rich datasets that are an ideal testbed for developing new methods for behaviour analytics with real biological impact. You will also work closely with experimentalists to put your methods into practice and follow leads that come out of analysis work.

Previous experience with Python and OpenCV is desirable. Experience with machine learning (including deep learning), image analysis, and tracking would also be an asset.

The Behavioural Genomics lab is a friendly interdisciplinary team headed by Dr André Brown in the Integrative Biology section of the LMS. For more information, see the group’s website at http://behave.lms.mrc.ac.uk/.



Funding Notes

This EPSRC studenthsip covers tuition fee payments and a tax-free stipend (£21,000pa) for 3.5 years.

Applicants should ensure they meet the residency requirements before applying:

• Settled status in the UK, meaning they have no restrictions on how long they can stay
and
• Been ‘ordinarily resident’ in the UK for three years prior to the start of the studentship. This means they must have been normally residing in the UK
and
• Not been residing in the UK wholly or mainly for the purpose of full-time education. (This does not apply to UK or EU nationals).