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Natural scientist (f/m/x) - Extended Multi Target RADAR Tracking
Job Description
Req ID:  4197
Place of work:  Neustrelitz
Starting date:  sofort
Career level:  Experienced professionals, Graduates
Type of employment:  Part time, Full-time
Duration of contract:  3 years with option to extend

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 Institute of Communications and Navigation at the German Aerospace Centre (DLR) is dedicated to mission-oriented research in selected areas of communications and navigation. The work ranges from theoretical foundations to the demonstration of new procedures and systems in a real environment and is embedded in the DLR programs Space, Aeronautics, Transport, Security and Digitalization. 

 

What to expect

The Nautical Systems department of the DLR Institute of Communications and Navigation develops and tests new procedures and technologies for shore-based and on-board support in ship navigation, among other things. 

 

The focus of the “Traffic Situation Systems” (VLS) working group is on the fusion and evaluation of data on moving objects from different sensors and sources. The aim is to derive a robust traffic situation picture from cooperative and non-cooperative systems. To this end, the working group primarily researches stochastic methods of sensor fusion, methods from the fields of machine learning and artificial intelligence, as well as their efficient implementation on multi-core architectures with the aim of generating real-time situation pictures.

 

As far as it is compatible with our operational procedures, we offer you the opportunity to carry out your work under the conditions of mobile working. In addition, you can organise your working hours flexibly, provided that you work during core working hours.

 

Your tasks

  • expand scientific knowledge in the field of radar-based ship tracking and demonstrating this knowledge in measurement campaigns
  • develop innovative algorithms for tracking extended objects using static and dynamic X-band radar stations
  • conduct intensive literature research in the field of multisensor extended target tracking for RADAR and LiDAR-based sensor sources
  • develop and implemet classic and neural network-based algorithms for object tracking in Python, C++, and CUDA

 

Your profile

  • You have a university degree (master's/diploma) in natural sciences (e.g., physics, applied mathematics) or engineering (e.g., computer science, control engineering) or other courses of study relevant to the position with a grade of good or better.
  • You have initial expertise in the field of object tracking and Kalman filters.
  • You have experience in analyzing large data sets (big data).
  • You already have research experience in the field of machine learning (ML) and/or artificial intelligence (AI).
  • You have experience in modeling/creating/developing applications for real-time data processing in Python or C++.
  • You have the ability to write journal articles and technical documentation.
  • You have good German skills and very good English skills (spoken and written).

 

Remuneration will be paid up to pay group 13 TVöD depending on qualifications and tasks assigned.

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 4197) please contact:

 

Dr. Michailas Romanovas
Tel.:  +49 3981 480 464
Apply now