MOBIUS: MOnitoring Biomolecular Interactions Using Synthetic cells

Start date

1 October 2026

Duration

3.5 years

Application deadline

Funding source

Faculty of Engineering and Physical Sciences

Funding information

Fully funded studentship opportunities covering home university fees, additional research training, travel funds and UKRI standard rate (£21,805 for 2026/27 academic year) – please check your project of interest for full funding offer details.

About

A fully funded 3.5-year PhD studentship is available to start from October 2026 under the supervision of Dr Wooli Bae (School of Mathematics and Physics) and Dr Roman Bauer (School of Computer Science and Electric Engineering) at the University of Surrey. 

In this project, we propose a new paradigm for drug discovery by combining bottom-up synthetic biology, biophysics and computational modelling. We are particularly interested in membrane proteins which accounts for 60% of the available drugs in the market and serve as primary interface between a cell and its environment. We will construct synthetic cells as micrometre-sized bioreactors to investigate interactions between membrane-associated proteins (most popular drug targets) and small as potential therapeutics. 

Computational modelling will be accompanied to design candidate molecules, which are then physically produced and screened directly inside the synthetic cells. By isolating the winner cells showing high-affinity binding via high-resolution imaging, we generate precise datasets that serve as feedback for computational modelling.

Our procedure creates a rapid active learning cycle. Experimental data retrains the model, improving the accuracy of the next molecular generation for generation of experimental data. By merging the biological functionality of synthetic cells with the versatility of machine learning, project MOBIUS establishes a pipeline for next-generation de novo drug discovery.

The project has flexibility to match the background and interest of the candidate. You will develop and optimise synthetic cell systems, perform high-throughput screening to generate a large dataset which will be incorporated using computational modelling. 

We are looking for a highly motivated multidisciplinary candidate with experimental skills in molecular biology (PCR, membrane formation, protein expression) or fluorescence microscopy with image analysis. A strong interest in computational modelling is desired. 

Eligibility criteria

You will need to meet the minimum entry requirements for our Physics PhD programme.

Open to candidates who pay UK/home rate fees. See UKCISA for further information.

How to apply

Applications should be submitted via the Physics PhD programme page. In place of a research proposal, you should upload a document stating the title of the project that you wish to apply for and the name of the relevant supervisor.

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Application deadline

Contact details

Wooli Bae
E-mail: w.bae@surrey.ac.uk
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