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Frank Kjeldsen

1 week ago

Postdoctoral Researcher in Computational Proteomics and Machine Learning University of Southern Denmark in Denmark

Degree Level

Postdoc

Field of study

Computer Science

Funding

Postdoctoral position for 2 years with the possibility of a 1-year extension. Competitive salary and benefits according to Danish collective agreements, including pension and support for international candidates where relevant.

Deadline

Nov 17, 2026

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Country

Denmark

University

University of Southern Denmark

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Keywords

Computer Science
Data Science
Chemistry
Biomedical Engineering
Biology
Analytical Chemistry
Peptide Chemistry
Mass Spectrometry
Bioinformatic
ML

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About this position

University of Southern Denmark (SDU), Department of Biochemistry and Molecular Biology, is recruiting a Postdoctoral Researcher in Computational Proteomics and Machine Learning in Odense, Denmark.

The project sits at the interface of computational proteomics, machine learning, and mass spectrometry, with a focus on peptide ionization, fragmentation in LC-MS/MS, and large-scale tandem MS/MS dataset analysis. The successful candidate will join the Protein Research Group (PRG), an interdisciplinary environment with eight PI-led teams and more than 50 researchers and students.

Research topics include peptide fragmentation analysis, spectral interpretation, peptide chemistry, gas-phase ion behavior, post-translational modifications, reproducible computational pipelines, and data-driven modeling of experimentally curated mass spectrometry data. The role involves developing and evaluating machine learning workflows, curating datasets, building predictive models, and collaborating closely with experimental researchers generating high-quality MS data.

Applicants must hold a PhD or equivalent in computational proteomics, bioinformatics, machine learning, computer science, chemometrics, analytical chemistry, or a closely related field. Strong Python and ML/deep learning experience are required, along with experience in data preprocessing, curation, and quality control for large datasets. Interest in the chemistry-computation-mass spectrometry interface is essential; experience with proteomics, neural networks, explainable AI, FAIR workflows, and scalable pipelines is an advantage.

The appointment is for 2 years with the possibility of a 1-year extension. Salary and benefits follow Danish collective agreements and include pension; support for international candidates is mentioned. Applications must be submitted electronically via the Apply now portal and should include a motivation letter, CV, degree certificates/transcripts, and reference contact information.

Deadline: 2026-11-17.

Funding details

Postdoctoral position for 2 years with the possibility of a 1-year extension. Competitive salary and benefits according to Danish collective agreements, including pension and support for international candidates where relevant.

What's required

Applicants must have a PhD or equivalent in computational proteomics, bioinformatics, machine learning, computer science, chemometrics, analytical chemistry, or a closely related field. Required experience includes machine learning and/or deep learning on complex scientific datasets, independent computational model design and implementation, proficiency in Python and relevant ML/data science frameworks, and experience with preprocessing, curation, and quality control of large datasets. Interest in the interface of computation, chemistry, and mass spectrometry is required; experience with mass spectrometry-based proteomics, neural network architectures, model interpretability, FAIR workflows, and collaborative interdisciplinary research is desirable.

How to apply

Apply electronically via the university's 'Apply now' link. Prepare a motivation letter, CV, copies of degree certificates and transcripts, and contact information for references/recommendation letters. Submit before the deadline; incomplete or late applications will not be considered.

More information can be found here

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