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source

University of Tübingen

PhD Position in Machine Learning and Genomics for Antimicrobial Resistance Diagnostics University of Tübingen in Germany

Degree Level

PhD

Field of study

Computer Science

Funding

Part-time 65% PhD position paid according to TV-L, usually E13. The position is limited until 2029-11-30, with extension possible. The post offers close supervision, technical support, and access to a newly established research group; no interview expenses are covered.

Deadline

Oct 6, 2026

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Country

Germany

University

University of Tübingen

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Keywords

Computer Science
Microbiology
Biology
Antibiotic Resistance
Medical Science
Genomic
Statistics
Bacterial Genomic
Bioinformatic
ML

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About this position

PhD position at the Institute for Medical Microbiology, Medical Virology and Hygiene, University of Tübingen, in a newly established research group (AG Sattler) working at the interface of machine learning, genomics, bioinformatics, microbiology, and clinical microbiology.

The project focuses on antimicrobial resistance diagnostics, including development and clinical evaluation of machine-learning models to detect resistance plasmids directly from routine MALDI-TOF mass spectra, genomic analysis of carbapenemase-producing Enterobacterales and mobile genetic elements using short- and long-read whole-genome sequencing, and building linked MALDI-TOF/genome datasets for generalisable predictive models. Experimental validation through conjugation, plasmid curing, and stability assays is also part of the work.

The position is part-time (65%) and paid according to TV-L, usually E13. It is limited until 30.11.2029, with extension possible. The role offers close supervision, technical support, and the chance to help shape a new research environment, with participation in national and international consortia such as DZIF TTU-HAI and ESGEM-AMR.

Applicants should have a completed Master's degree in bioinformatics, microbiology, or a comparable subject; strong Python programming skills; Linux and bioinformatics tool experience; and practical experience with machine learning and/or whole-genome sequencing analysis. Interest in bacterial genomics and clinical microbiology, plus a structured, independent, team-oriented working style and scientific rigour, are emphasized. A first publication is ideally expected.

Application deadline: 06.10.2026. Apply online through the university job portal with CV, cover letter, and supporting documents. Contact for questions: Dr. Janko Sattler.

Funding details

Part-time 65% PhD position paid according to TV-L, usually E13. The position is limited until 2029-11-30, with extension possible. The post offers close supervision, technical support, and access to a newly established research group; no interview expenses are covered.

What's required

Completed Master's degree in bioinformatics, microbiology, or a comparable subject. Confident programming in Python and experience working in a Linux environment with bioinformatics tools are required. Practical experience with machine learning and/or whole-genome sequencing data analysis is expected. Applicants should have interest in bacterial genomics and clinical microbiology, willingness to combine computational work with bench experiments, and an independent, structured, team-oriented working style with scientific rigour; a first publication is ideally expected.

How to apply

Apply online via the university job portal by 2026-10-06. Submit a CV, cover letter, and supporting documents/zeugnisse. Direct questions can be sent to Dr. Janko Sattler.

More information can be found here

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