General information

The graduate school will provide funding for 24 doctoral student positions.

The graduate school program is addressed to excellent students with mathematics, computer science, natural sciences and engineering master degrees from all over the world who are willing to work at the interface between domain-related research and data science. Applicants must have appropriate knowledge concerning computer science in general, since HDS-LEE does not provide education in computer science fundamentals such as programming.

Candidates will be offered a clearly structured three-year program comprising:

  • Block course “data science methods and applications”
  • Compulsory elective training courses, e.g. training days at the Jülich Supercomputing Center (JSC)
  • Annual retreat
  • Annual data science conference
  • Participation in international conferences
  • Transferable skills and career advancement

Since the official program language is English, language courses may also be taken. German skills are not mandatory. However, non-German speakers are generally advised to choose German courses from the transferable skills curriculum during their first year of study, as German language knowledge is very important for daily life and for pursuing a future career in Germany.

Doctoral researchers in HDS-LEE are appointed with a three-year fully-paid (100% in German payscale E13), with a probation period of six months. Optionally, and in agreement with the supervisor, the appointment can be interrupted for up to six months for an industrial internship.

The criteria for admission include

  • A completed master’s degree in mathematics, computer science, natural sciences or engineering
  • TOEFL or equivalent evidence of English-speaking skills (English as main school subject in the Abitur is considered equivalent)
  • A high level of scholarship as indicated, for example, by bachelor and master study transcripts and reference letters


The application documents must include

  • Application letter explaining your motivation for the position and your research interests
  • Curriculum vitae
  • Bachelor and master study transcript(s) and certificate(s) from universities previously attended
  • TOEFL score or equivalent evidence of English-speaking skills (English as main school subject in the Abitur is considered equivalent)
  • At least two letters of recommendation / reference letters

Please submit the application documents for your desired position as a PDF. Deadlines are indicated in the job advertisements.

Equal career prospects for women and men. Severely disabled applicants with equal qualification will be given preferential consideration.

Open Positions

 Hybrid Data Assimilation for Applications in Cryosphere Physics - Julia Kowalski

 Process-Inspired Data Acquisition for Autonomous Ice Exploration - Julia Kowalski

 Structure identification of mesoscopic biological interaction networks from data - Andreas Schuppert

 A land surface-subsurface monitoring system for the African continent

 Uncertainty Estimation of Deep Neural Network Predictions - Achim Basermann

 Neural networks as reduced models for high-fidelity flow simulations in bioreactors and energy-efficient manufacturing processes

 Geometry-aware image analysis for microfluidic live-cell experimentation - Benjamin Berkels

 Pathway-Based drug discovery of novel analgesics

 An approach to tracking the provenance of data acquisition and analysis in neuroscience

 Binding interface classification employing image recognition impact for structural biology and drug discovery

 A Framework for Meta Data Analysis and Interactive Exploration of large FAIR data sets: A Plant Phenotyping example

 Exploitation of street canyon observations for inner city air quality forecasts and emission optimization