Engineer (f/m/d) - Error modelling and spatial AI for safe multisensor navigation

German Aerospace Center (DLR); Oberpfaffenhofen; Vor Ort; EUR 65.000 - 75.000; Vollzeit

Zusammenfassung

German Aerospace Center (DLR) in Oberpfaffenhofen is seeking an experienced engineer to design and implement innovative multisensor navigation algorithms. You will develop error models, create realistic simulation scenarios with 3D tools and game engines, and implement and evaluate solutions in C/C++ and Python.

Responsibilities include analyzing simulation results, assessing error propagation, and validating methods with hardware data collected during measurement campaigns.

Qualifikationen

• Master’s degree in engineering or related field; strong maths and statistics.
• Knowledge of multisensor navigation, visual navigation and machine learning.
• Experience with Vision Transformers for image perception.
• Proficiency in Python and C/C++.
• Excellent English skills.

Aufgaben

• Design and development of innovative algorithms to improve multisensor navigation for road, rail and air transport.
• Development of error models to quantify the integrity of multisensor navigation methods.
• Creation of realistic simulation scenarios using 3D modelling tools, e.g. game engines.
• Development and implementation of a simulation and evaluation environment using C/C++ and Python.
• Analysis of simulation results to assess error propagation and probabilities.
• Validation of methods using hardware data from measurement campaigns.

Kenntnisse

Python

C/C++

Machine learning

Vision Transformers

Ausbildung

Master’s degree in engineering or related field

Tools

Game engines

Jobbeschreibung

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 selected 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.

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

Prof. Dr. Michael Meurer
Tel.: [phone]