← Zur Jobübersicht

Research Position as PhD Student (f/m/d, E13 TV-L, 75%)

Eckdaten

Hochschule
Uni Tübingen
Website
uni-tuebingen.de ↗
Standort
Tübingen
Stellenart
PhD / Doktorandenstelle
Anstellungsart
Teilzeit
Vergütung
E13 TV-L
Bewerbungsfrist
06.07.2026
Fachgebiete
Bioinformatik, Biologie, Data Science, Humanmedizin, Informatik, Medizinische Informatik

Research Position as PhD Student (f/m/d, E13 TV-L, 75%)

Faculty of Science, Department of Computer Science

Bewerbungsfrist
: 06.07.2026

Prof. Dr. Nico Pfeifer’s Chair for Methods in Medical Informatics, Department of Computer Science at the University of Tübingen, distinguished as excellent by the Federal Government of Germany, is inviting applications for a

3-year Research Position as a Ph.D. Student 
(f/m/d, E13 TV-L, 75%)

starting on 15th September 2026 or as soon as possible.

The position

The position is available within a multidisciplinary effort to develop new machine learning-based techniques for Natural Products Genome Mining at the Cluster of Excellence Controlling Microbes to Fight Infections (CMFI).

As a researcher, you will be welcomed at Pfeifer Lab and a vibrant campus environment in charming Tübingen. We have extensive knowledge at the interface between statistical machine learning, digital medicine, and computational biology, and plenty of collaboration opportunities beyond international borders. Prof. Nico Pfeifer is a member of the Cluster of Excellence Machine Learning: New Perspectives for Science, a PI in the Cluster of Excellence Controlling Microbes to Fight Infections, and a faculty member of the International Max Planck Research School for Intelligent Systems.

Your Responsibilities

  • develop and extend ML-based methods for Genome Mining
  • collaborate closely with colleagues in machine learning, genome mining and infection biology
  • present findings in peer-reviewed publications and international conferences

Your Profile

  • a university degree (M.Sc. or equivalent) in Machine Learning, Bioinformatics, Medical Informatics, Computer Science, or a related discipline
  • strong programming/scripting skills (Python, R, C++, Java) and knowledge of ML frameworks (PyTorch, etc.)
  • a keen interest in interdisciplinary teamwork
  • proficiency in English
  • experience in Data Science, Machine Learning or Statistics
  • experience in the analysis of high-throughput data (multi-omics)
  • experience with Vibe Coding is a plus
  • experience in Chemistry is a plus

Our Offer

  • cutting-edge research at a highly renowned university,
  • collegial work atmosphere,
  • remuneration in accordance with the TV-L (collective agreement for public employees of the German federal states) as well as all corresponding benefits,
  • international collaboration opportunities,
  • local & global networking opportunities incl. conferences, workshops, summer schools, etc.
  • 30 days/year of paid vacation,
  • life and family-friendly work conditions,
  • career mentoring,
  • visa and onboarding assistance,
  • access to sports facilities, libraries, discounted public transportation, etc.

We value diversity in science, and particularly look forward to receiving applications from women, non-binary people and researchers from underrepresented groups across cultures, genders, ethnicities, and lifestyles. We actively promote the compatibility of science, work, professional development, family life and care work. In case of equal qualification and experience, physically challenged applicants are given preference.

How to apply

Please email your application (including your motivation letter, curriculum vitae, certificates, and contact details of 2 academic references) with the subject “Application CMFI PhD” to Prof. Dr. Nico Pfeifer:
mm-coordinator@inf.uni-tuebingen.de

Application deadline: 6th July 2026.

Um dich für diesen Job zu bewerben, besuche bitte uni-tuebingen.de.

Newsletter

Erhalten Sie mit unserem Newsletter wöchentlich die Top-Stellenanzeigen von deutschen Hochschulen direkt per E-Mail. Jederzeit kündbar. Keine Werbung.