PhD Student in Computational Proteomics: The Technical University of Munich (TUM) invites applications for a PhD position in the Marie Curie ProtAIomics project, focusing on confidence prediction of AI peptide property models for single-cell proteomics data analysis. This role offers a unique opportunity to contribute to cutting-edge research in computational proteomics while gaining valuable experience in an interdisciplinary environment.
Designation
PhD Student in Computational Proteomics (F/M/D)
Research Area
Confidence prediction of fine-tuned AI peptide property models for single-cell proteomics data analysis.
Location
Technical University of Munich (TUM), Germany
Eligibility/Qualification
- Master’s degree in Data Engineering, Data Science, Bioinformatics, Informatics, or a related field.
- Essential skills:
- Theoretical and practical knowledge in statistical analysis, data mining, data integration, machine learning, deep learning, and bioinformatics.
- Familiarity with confidence/conformal prediction techniques.
- Desirable skills:
- Understanding of proteomic or related technologies.
- Basic knowledge of biological and (bio)chemical concepts.
- Strong motivation, flexibility, and ability to work on multiple projects.
- Good communication skills and proficiency in English.
Job Description
- Develop methods for model confidence estimation using conformal prediction and related techniques.
- Integrate confidence estimation into peptide property prediction workflows.
- Evaluate methods on diverse datasets, particularly in single-cell proteomics.
- Contribute to an enhanced data analysis pipeline for improved peptide and protein identification, particularly for post-translational modifications.
How to Apply
Interested candidates are encouraged to submit their applications through the ProtAIomics online application portal.
Last Date to Apply
30 November 2025
For more information about the project and application details, visit ProtAIomics online application portal.
