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Masterthesis: Student (f/m/x) - Natural Sciences, Engineering or Computer Science
Job Description
Req ID:  1604
Place of work:  Oberpfaffenhofen
Starting date:  by arrangement
Career level:  Student research project and final thesis
Type of employment:  Part time
Duration of contract:  by arrangement

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 Remote Sensing Technology Institute (IMF) is an institute of the German Aerospace Center DLR. It is located in Oberpfaffenhofen (near Munich), Berlin-Adlershof, Neustrelitz (Mecklenburg-Vorpommern) as well as an office in Bremen. IMF and the German Remote Sensing Data Center (DFD) together comprise the Earth Observation Center EOC – a center of competence for earth observation in Germany.

 

What to expect

The EO Data Science department of the Remote Sensing Technology Institute develops modern signal processing and AI methods for current and future Earth observation missions. The tasks include scientific research in the field of artificial intelligence for Earth observation as well as the initiation, implementation and management of scientific and innovative projects.

 

As part of your studies, we offer you the opportunity to write a final thesis on the topic Pre-training Foundation Models for Remote Sensing.

 

Your tasks
We will discuss the details of your tasks with you.

 

Your profile

  • ongoing scientific studies in natural sciences, engineering or computer sciences
  • interest in our research topics
  • motivation and initiative
  • communication and teamwork skills
  • good written and spoken English skills

 

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 1604) please contact:

Anja Rösel 
Tel.: +49 8153 28 4330 
Apply now