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Master Thesis (f/m/x) - QML-based parameterization of the boundary layer height
Job Description
Req ID:  2539
Place of work:  Oberpfaffenhofen
Starting date:  01.10.2025
Career level:  Student research project and final thesis
Type of employment:  Part time
Duration of contract:  6 - 12 Monate

Remuneration: Remuneration is in accordance with the Collective Agreement for the Public Sector - Federal Government (TVöD-Bund)

Enter the fascinating world of the German Aerospace Center (Deutsches Zentrum für Luft- und Raumfahrt e. V.; DLR) and help shape the future through research and innovation! We offer an exciting and inspiring working environment driven by the expertise and curiosity of our 11,000 employees from 100 nations and our unique infrastructure. Together, we develop sustainable technologies and thus contribute to finding solutions to global challenges. Would you like to join us in addressing this major future challenge? Then this is your place!

The DLR Institute of Atmospheric Physics in Oberpfaffenhofen conducts research into the physics and chemistry of the global atmosphere from the ground
up to 120 km altitude.

 

What you can expect
The Department of Earth System Model Evaluation and Analysis develops innovative methods for evaluating and analysing Earth system models in comparison with observational data with the aim of better understanding and predicting the Earth system. In the Klim-QML project, we are developing the first prototype of a climate model improved with quantum machine learning (QML) methods.


Your tasks

  • Development of a QML-based parameterisation for the boundary layer height
  • carrying out simulations with the ICON-XPP earth system model to generate training data
  • Compression of the training data for use in a QML model
  • Documentation and software as open source

 

Your profile

  • enrolled in a master's program in physics, quantum technology, computer science or a similar field
  • very good programming skills (preferably Python), including machine learning methods
  • Enthusiasm, motivation and creativity
  • fluency in English (written and spoken)
  • Experience in quantum machine learning or climate modelling is an advantage

Depending on qualification and assingnment of tasks, remuneration will be up to pay grade EG05 TVöD Bund.

 

We offer

DLR stands for diversity, appreciation and equality for all people. We promote independent work and the individual development of our employees both personally and professionally. To this end, we offer numerous training and development opportunities. Equal opportunities are of particular importance to us, which is why we want to increase the proportion of women in science and management in particular. Applicants with severe disabilities will be given preference if they are qualified.

 

We look forward to getting to know you!

 

If you have any questions about this position (Vacancy-ID 2539) please contact:

Mierk Schwabe 
Tel.: +49 8153 28 4239 
Apply now