Development of machine learning methods to redesign protein dynamics

Protein function is often coupled with conformational changes. This project is aimed at developing machine learning methods to inform protein design. The student will be required to design, develop and implement software solutions to guide the selection of mutations for rational design of protein dynamics in a series of bacterial proteins. The student will be a member of the Computational Design Lab and of the Synthetic Biology Theme. Requirements: 1. BSc and/or MSc degree in computer science, computational biology, computational chemistry or bioinformatics. 2. Background in biomolecular simulations, software development in Python and Linux/UNIX.

How to apply

If you are interested in applying for the above PhD topic please follow the steps below:

1. Contact the supervisor by email or phone to discuss your interest and find out if you would be suitable. Supervisor details can be found on this topic page. The supervisor will guide you in developing the topic-specific research proposal, which will form part of your application.
2. Click on the 'Apply here' button on this page and you will be taken to the relevant PhD course page, where you can apply using an online application.
3. Complete the online application indicating your selected supervisor and include the research proposal for the topic you have selected.

Good luck!

This is a self funded topic

Brunel offers a number of funding options to research students that help cover the cost of their tuition fees, contribute to living expenses or both. See more information here: https://www.brunel.ac.uk/research/Research-degrees/Research-degree-funding. The UK Government is also offering Doctoral Student Loans for eligible students, and there is some funding available through the Research Councils. Many of our international students benefit from funding provided by their governments or employers. Brunel alumni enjoy tuition fee discounts of 15%.