Climate Informatics Group

Climate Informatics Website

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Hi, I’m Jakob!

The German Aerospace Center (DLR) and Friedrich-Schiller-University (FSU) Jena in collaboration with the Max-Planck Institute for Biogeochemistry currently establish a research group on Climate Informatics at the new DLR Institute of Data Science in Jena, Germany, that I am leading. 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 (based on graphical models, causal inference, nonlinear dynamics, deep learning) and closely works with experts in the climate sciences.

More about me here. I am looking forward to build up a highly motivated team and am happy to answer any questions, we especially encourage female applicants! Feel free to forward via mailing lists and to potential candidates!

Open positions:

  •  PhD or Postdoc: Development of data science methods for the detection of abrupt climate transitions and extreme events (English ad, Kennziffer 14408).
  •  Postdoc:  Ad soon to be published, contact me for details.

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!

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 qualification:

  • Master/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.
  • Practical knowledge of the current state-of-the-art in machine learning.
  • Desire and ability to work in an interdisciplinary team.
  • Commitment and dedication to develop robust, working systems.
  • Fluency in written and oral English.
  • Strong programming expertise in Python, C and C++ and general knowledge in computer science.

All contracts will initially last three years. The salary is according to the German TVöD scale (100% E13 or E14) including social security and health insurance benefits. DLR is a family-friendly employer with flexible work-time models and promotes your professional development through a wide range of qualification and further training opportunities.

Contact me for any questions. You can submit your application including a CV and a cover letter summarizing your research experience, interests, relations to the research topic, and a contact for a recommendation letter by following the links given above. Applications will be accepted until the positions are filled.