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Imperial College London

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CDT MRes and PhD Studentship in Peptide Cellular Uptake, High-Throughput Live-Cell LC-MS and Machine Learning Imperial College London in United Kingdom

Degree Level

Master's, PhD

Field of study

Computer Science

Funding

Available

Deadline

Dec 2, 2026

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Country

United Kingdom

University

Imperial College London

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Keywords

Computer Science
Chemistry
Biomedical Engineering
Deep Learning
Biology
Peptide Chemistry
High-throughput Screening
Pharmacy
ML

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About this position

PepPERMIT is a CDT studentship project at Imperial College London combining experimental peptide science with machine learning to understand how peptides enter living cells.

The research will systematically investigate peptide cellular uptake using high-throughput live-cell liquid chromatography–mass spectrometry (LC-MS) and computational analysis. The student will work on laboratory screening of peptides, peptide synthesis and the generation of chemical datasets describing peptide properties and uptake behaviour.

A major component of the project is the application of machine learning and deep learning to extract useful patterns from these datasets and prioritise peptides with desirable characteristics. By predicting cell permeability and incorporating it into peptide drug design, the research aims to help prevent promising therapeutic compounds from failing later in the drug-discovery pipeline.

The project is carried out in close collaboration with Rebecca Birolo and under the supervision of Anna Barnard and Pietro Sormanni. It offers an interdisciplinary research environment spanning peptide chemistry, live-cell analysis, high-throughput screening, computational modelling and drug discovery.

Funding details

Available

How to apply

Review the project information and submit an application through Imperial College London's current applications portal using the provided application link before 2 December 2026.

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