Postdoc in AI-Powered Proteomics & Peptide Fragmentation

University of Southern Denmark - SDU; Odense; On-site; DKK 480,000 - 600,000; Full time

Benefits offered by this job

Pension plan

International collaboration

Job summary

The University of Southern Denmark invites applications for a postdoctoral position at the interface of computational proteomics, machine learning, and mass spectrometry. You will develop ML workflows for large-scale tandem MS data and work closely with experimental colleagues to advance peptide fragmentation analysis.

Located in Odense, the Protein Research Group offers an interactive environment and access to state-of-the-art MS platforms.

Qualifications

• PhD in computational proteomics, bioinformatics, machine learning, computer science, chemometrics, analytical chemistry, or closely related field.
• Strong experience in machine learning and/or deep learning applied to complex scientific datasets.
• Proficiency in Python and relevant machine learning/data science frameworks.
• Experience with data preprocessing, curation, and quality control for large and complex datasets.

Responsibilities

• Develop computational and machine learning workflows for large-scale analysis of tandem mass spectrometry data.
• Contribute to the structuring, curation, and quality control of large experimental MS/MS datasets.
• Build data-driven models for peptide fragmentation analysis using experimentally generated spectra.
• Integrate variables such as peptide sequence, precursor charge state, collision energy, and peptide modifications into computational frameworks.
• Evaluate model performance using suitable similarity, quality, and generalization metrics.
• Investigate how models may help reveal fragmentation trends and chemically meaningful patterns in large-scale MS/MS datasets.
• Work independently on model development and implementation while interacting closely with experimental researchers.
• Disseminate findings through peer-reviewed publications, conference presentations, and open scientific resources.

Skills

Machine learning

Python

Independent problem solving

Data preprocessing

Analytical mindset

Interdisciplinary collaboration

Mass spectrometry knowledge

Education

PhD in computational proteomics or related field

Tools

TensorFlow/PyTorch

MS/MS data analysis tools

Job description

The University of Southern Denmark invites applications for a postdoctoral position at the interface of computational proteomics, machine learning, and mass spectrometry. You will develop ML workflows for large-scale tandem MS data and work closely with experimental colleagues to advance peptide fragmentation analysis.

Located in Odense, the Protein Research Group offers an interactive environment and access to state-of-the-art MS platforms.