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!

Vacancy-ID:  3007 
Place of work:  Oberpfaffenhofen 
Starting date:  baldmöglichst 
Career level:  Experienced professionals; Graduates 
Type of employment:  Full-time; Part time 
Duration of contract:  3 Jahre 
Remuneration:  Remuneration is in accordance with the Collective Agreement for the Public Sector – Federal Government (TVöD-Bund)

The Institute of Communications and Navigation, with sites in Oberpfaffenhofen and Neustrelitz, is dedicated to mission-oriented research in selected areas of communications and navigation. These are embedded in the DLR programmes on space, aviation, transport and security.

What to expect

The group for Advanced Information Processing aims to apply the latest theoretical findings to real applications in the field of information technology. In particular, it focuses on the development and implementation of advanced concepts of quantum error correction for quantum computers and memories. As pioneers in this field, they play a crucial role in ensuring the reliability and efficiency of quantum technologies that have the potential to transcend the limits of conventional information technology.

Your tasks

• Development of new machine learning techniques for satellite communication
• Development of new communication protocols for federated learning, also for devices with limited computing capacities or limited energy budget
• Application of ML solutions to define advanced communication strategies for remote monitoring of sources in IoT systems considering terrestrial and/or non-terrestrial connectivity
• Implementation and application of the research results in specific projects for future transmission systems
• Acquisition, planning and management of national and international projects in the subject area

Your profile

• University degree (Master’s/Diploma Uni) in engineering (e.g. electrical engineering, information technology or communications engineering) or in the natural sciences (e.g. physics, mathematics) or other courses of study relevant to the position
• PhD in one of the abovementioned fields or comparable, with a focus on communications engineering or several years of professional experience in this field.
• Several years of experience in the theoretical foundations of communications/information technology
• Several years of experience in the field of machine learning, especially for appli-cations in communications technology
• Experience with PyTorch and/or TensorFlow libraries for machine learning
• Several years of international work experience, outside Europe desirable
• Experience in planning and managing scientific research projects

Remuneration depends on qualifications and job assignment up to pay grad 14 TVöD.

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 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 3007) please contact:

Dr. Sandro Scalise 
Tel.: +49 8153 28 2856