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Kathryn Lilley

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1 month ago

Marie Curie AI for Proteomics PhD Position (Lilley Group) University of Cambridge in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

Available

Deadline

Sep 24, 2026

Country flag

Country

United Kingdom

University

University of Cambridge

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Keywords

Computer Science
Chemistry
Biology
Artificial Intelligence
Computational Biology
Mass Spectrometry
Probabilistic Modeling
Medical Science
Bayesian Statistics
Lc-ms
Statistics
Statistical Modelling
Bioinformatic

About this position

[Marie Curie Fellow Rates; fixed-term funding available from 2026-11-09 until 2029-09-30.]

Marie Curie AI for Proteomics PhD Position (Lilley Group) at the University of Cambridge, based in Central Cambridge, is an exciting doctoral opportunity at the interface of artificial intelligence, mass spectrometry proteomics, and computational biology. The project is part of the Horizon Europe MSCA Doctoral Network ProtAIomics, which brings together laboratories across Europe and supports 16 doctoral students working on advanced methods for proteomics research.

The successful candidate will collaborate with researchers at the University of Oxford and develop AI tools for the interrogation of subcellular proteomics data. The research sits at the intersection of probabilistic and statistical modelling, Bayesian inference, hierarchical data analysis, and computational pipelines for complex biological datasets. A strong emphasis is placed on handling ambiguous or overlapping signals, with a focus on proteomics data and related high-dimensional biological data such as mass spectrometry, RNA sequencing, or imaging.

Applicants should have strong programming skills and be able to build and extend statistical pipelines. Prior experience in computational proteomics or LC-MS/MS analysis is desirable, particularly peptide/protein identification or signal deconvolution. The role is explicitly doctoral in nature and is intended for a candidate who already meets the academic degree requirements for PhD study but does not yet hold a doctoral degree.

Funding is provided at Marie Curie Fellow Rates, and the post is fixed term. The funds for the position are available from 9 November 2026 until 30 September 2029, in the first instance. The application deadline is 24 September 2026.

Eligibility is governed by MSCA mobility rules: applicants must not have resided or carried out their main activity in the UK for more than 12 months in the 36 months immediately before recruitment. This position therefore particularly suits internationally mobile candidates with a strong quantitative and biological background who want to contribute to cutting-edge proteomics research in a leading Cambridge group.

Informal enquiries may be directed to Professor Kathryn Lilley via [email protected], and application-process questions should be sent to the Biochemistry HR Team at [email protected]. Applicants should apply online via the Cambridge jobs portal and quote reference PH51013.

Funding details

Available

What's required

Applicants must hold an academic degree that enables them to undertake doctoral studies and must not already possess a doctoral degree. MSCA mobility rules apply: applicants must not have resided or carried out their main activity (work, studies, etc.) in the UK for more than 12 months in the 36 months immediately before recruitment. Preferred candidates will have experience in probabilistic or statistical modelling of complex biological data such as mass spectrometry data, RNA sequencing, or imaging; experience with hierarchical data and resolving ambiguous, overlapping signals; strong programming skills; ability to build and extend statistical pipelines; interest in Bayesian inference applied to biology; and a background in computational proteomics or LC-MS/MS analysis, especially peptide/protein identification or signal deconvolution, is desirable.

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Professors

Professor at University of Cambridge

University Name
Country flag

United Kingdom

Research Interests

Cell Biology

Biochemistry

Omics

Metaproteomics

Protein Chemistry