PhD in AI for Proteomics & Subcellular Data

University of Cambridge; Cambridge; On-site; GBP 18,000 - 22,000; Full time

Job summary

The University of Cambridge invites applications for a PhD doctoral position in AI in proteomics within the Horizon Europe MSCA Doctoral Network, ProtAIomics, hosted across European labs with collaboration from Oxford. You will develop AI tools for subcellular proteomics data, focusing on probabilistic modelling and Bayesian inference.

The role requires strong programming skills and a background in hierarchical data and complex biological signals, with a keen interest in LC-MS/MS analysis and

Qualifications

• Applicants must be eligible to undertake doctoral studies in the UK.
• Experience with probabilistic or statistical modelling of complex biological data (mass spectrometry, RNA sequencing, imaging).
• Strong programming skills required and ability to build statistical pipelines.
• Interest in Bayesian inference applied to biology and proteomics.

Responsibilities

• Develop AI tools for interrogation of subcellular proteomics data within ProtAIomics.
• Collaborate with European labs and the University of Oxford on cross-disciplinary projects.
• Contribute to pipeline development and data analysis for MSCA network.
• Present results and contribute to publications and conferences.

Skills

Programming

Probabilistic modelling

Bayesian inference

Hierarchical data

Mass spectrometry

Education

Academic degree enabling doctoral studies

Tools

Python

R

Job description

The University of Cambridge invites applications for a PhD doctoral position in AI in proteomics within the Horizon Europe MSCA Doctoral Network, ProtAIomics, hosted across European labs with collaboration from Oxford. You will develop AI tools for subcellular proteomics data, focusing on probabilistic modelling and Bayesian inference.

The role requires strong programming skills and a background in hierarchical data and complex biological signals, with a keen interest in LC-MS/MS analysis and