Scientific activities / projects

Development of innovative data science methods in the field of climate computing

Starting date

1 December 2018

Duration of contract

3 years


up to German TVöD 14

Type of employment


"Cutting-edge research requires excellent minds – particularly more females – at all levels. Launch your mission with us and send in your application now!" Prof. Pascale Ehrenfreund - Chair of the DLR Executive Board

Your mission:

The German Aerospace Center (DLR) and Friedrich-Schiller-University (FSU) Jena in collaboration with the Max-Planck Institute for Biogeochemistry established a research group on Climate Informatics at the new DLR Institute of Data Science in Jena, Germany. Climate Informatics is a challenging and promising research field where a concentrated effort will have a high impact both to advance science and to address climate change topics of critical importance for the society. The group develops innovative data science methods and closely works with experts in the climate sciences. The core methodological topics include graphical models, causal inference, nonlinear time series analysis, and deep learning via a close collaboration with the machine learning group at FSU Jena. But the methods are flexible and open for your ideas!

Your tasks:

  • development of data science algorithms for causal inference
  • application of methods on observed and simulated Earth system data
  • implementation of methods in well-documented software (ESMValTool)
  • publication of results in peer-reviewed journals
  • presentation of results on national and international conferences

To support your international research experience, all positions have a generous travel budget for conferences and extended research stays. Currently, we have collaborators at Imperial College London, Oxford, Carnegie Mellon University, National Center for Atmospheric Research (NCAR), and California Institute of Technology.

Your qualifications:

  • Master in (applied) mathematics, statistics, computer science, physics, or data science
  • PhD in (applied) mathematics, statistics, computer science, physics, or data science
  • creativity and strong motivation to develop new algorithms and learning paradigms for using machine learning for climate science applications
  • several years of experience in machine learning, data mining and statistical models
  • desire and ability to work in an interdisciplinary team
  • commitment and dedication to develop robust, working systems
  • excellent programming expertise in Python and general knowledge in computer science
  • fluency in written and oral English

Your benefits:

Look forward to a fulfilling job with an employer who appreciates your commitment and supports your personal and professional development. Our unique infrastructure offers you a working environment in which you have unparalled scope to develop your creative ideas and accomplish your professional objectives. Our human resources policy places great value on a healthy family and work-life-balance as well as equal opportunities for persons of all genders (m/f/non-binary). Individuals with disabilities will be given preferential consideration in the event their qualifications are equivalent to those of other candidates.

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Technical contact

Dr. Jakob Runge
Institute of Data Science

Phone: +49 2203 601-3770

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Vacancy 26779

HR department Berlin

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DLR site Jena

DLR Institute of Data Science

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