Research & Development
Postdoctoral Researcher in Computational Proteomics and Machine Learning
Summary
The postdoctoral researcher will develop computational and machine-learning approaches for analyzing tandem mass spectrometry data and peptide fragmentation. The role involves collaborating with experimental researchers and disseminating findings through publications and presentations.
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Opportunity summary
Employment type: Full time. Requisition: 4333. Department of Biochemistry and Molecular Biology, University of Southern Denmark Location:
Odense, Denmark Duration:
2 years, with the possibility of a 1-year extension Starting Date:
- 1 January 2027, or as soon as possible thereafter Project Description We invite applications for a postdoctoral position at the interface of computational proteomics, machine learning, and mass spectrometry.
- The successful candidate will join a pioneering research program focused on peptide ionization and fragmentation in LC-MS/MS, with the aim of developing new computational approaches for peptide fragmentation analysis.
- The project centers on large-scale, experimentally curated tandem mass spectrometry datasets and the development of new computational strategies for fragmentation analysis under analytically underexplored conditions.
- It relies on modern machine learning approaches to model fragmentation behavior, support spectral interpretation, and enable future advances in peptide identification workflows.
- The position is embedded in the Protein Research Group (PRG) at the University of Southern Denmark, an internationally recognized environment in proteomics and biological mass spectrometry1 …
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