Applications of AI in drug design

 

Artificial Intelligence is rapidly becoming the default in modern drug design. We seek to develop new methods and applications to invent new pharmaceuticals initially for applications in anti-ageing.

Start date

1 October 2022

Duration

3.5 years

Application deadline

Funding source

Doctoral Training Partnership

Funding information

UK fees covered. Stipend of £16,062 p.a. (for 2022-23).

About

We have used machine learning to search databases to propose new drug candidates from a machine learning model from test data. We seek to extend both the scope and applications of this technology to new areas. This project would suit someone with prior knowledge of python or someone willing to learn. We are currently active in Anti-ageing research and there will be the opportunity to liaise with our biological colleagues over testing of compounds and with our colleagues in the Quantum Biology Centre at the University.

Related links

Surrey builds AI to find anti-ageing chemical compounds Random forest classification for predicting lifespan-extending chemical compoun…

Eligibility criteria

Applicants are expected to hold a first or upper-second class degree in a relevant discipline (or equivalent overseas qualification), or a lower second plus a good Masters degree (distinction normally required).

UK candidates only, only UK fees covered.

 

How to apply

Applications should be submitted via the Chemistry PhD programme page on the "Apply" tab. Please clearly state the studentship title and supervisor on your application.

PhD Chemistry


Application deadline

Contact details

Brendan Howlin
23 AZ 02
Telephone: +44 (0)1483 686248
E-mail: B.Howlin@surrey.ac.uk
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