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Engineer (f/m/d) - Error modelling and spatial AI for safe multisensor navigation
Job Description
Req ID:  5546
Place of work:  Oberpfaffenhofen
Starting date:  as soon as possible
Career level:  Experienced professionals, Graduates
Type of employment:  Part time, Full-time
Duration of contract:  2 years

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 12,000 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:  5546 
Place of work:  Oberpfaffenhofen 
Starting date:  as soon as possible 
Career level:  Experienced professionals; Graduates 
Type of employment:  Full-time; Part time 
Duration of contract:  2 years 
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 selcted areas of communications and navigation. These are embedded in the DLR programmes on space, aviation, transport and security.

 

What to expect

In contrast to the techniques currently in commercial use, the Institute’s research focuses on ensuring the reliability and integrity of the position information determined. The underlying idea is that fully autonomous driving or flying is only possible if it can be demonstrated that multisensor navigation is safe within the specified parameters. To this end, it is necessary to analyse how different types of measurement errors affect the system and how these propagate statistically through the various processing stages. This is very challenging for the neural networks typically used today, so new approaches are to be developed, analysed and evaluated. You will be expected to contribute to the development and analysis of reliable methods for visual navigation and sensor fusion within the aforementioned overarching research area. 

 

Your tasks

  • Design and development of innovative algorithms to improve multisensor navigation, meeting stringent safety requirements for road, rail and air transport
  • Development of error models to quantify the integrity of multisensor navigation methods, e.g. calibration error and detection error
  • Creation of realistic simulation scenarios using 3D modelling tools, e.g. game engines, to generate training data and test the developed methods 
  • Development and implementation of a suitable simulation and evaluation environment using programming languages such as C/C++ and Python
  • Analysis of the simulation results obtained to assess error propagation and error probabilities
  • Validation of the developed methods using hardware data collected during measurement campaigns

 

Your profile

  • A completed university degree (Master’s / University Diploma) in engineering (e.g. Computer Science, Aerospace Engineering, Electrical Engineering and Information Technology) or other degrees relevant to the role
  • Solid foundations in mathematics and statistics
  • Knowledge of multisensor navigation, visual navigation and machine learning
  • Knowledge of the application of Vision Transformers for image perception
  • Good knowledge of the programming languages Python and C/C++
  • Very good English skill

 

Remuneration depends on qualifications and job assignment up to pay grad 13 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 look forward to getting to know you!

 

If you have any questions about this position (Vacancy-ID 5546) please contact:

 

Prof. Dr. Michael Meurer 
Tel.: +49 8153 28 3065 
Apply now