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Deutsches Zentrum für Luft- und Raumfahrt (DLR)

Master student Mechanical, Automotive Engineering or similar (f/m/x)

Stuttgart 36000 - 60000 € / Jahr (geschätzt)

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Deutsches Zentrum für Luft- und Raumfahrt (DLR)

Auf einen Blick

Aufgaben: Forschung zur Sicherheitsbewertung autonomer Fahrzeuge mittels Risikobewertungsmethoden und Fahrsimulatoren.
Arbeitgeber: DLR, zertifiziert als familienfreundlicher Arbeitgeber mit flexiblen Arbeitszeiten und Home-Office-Optionen.
Mitarbeitervorteile: Flexible Arbeitszeiten, gelegentliches Home Office, etabliertes Frauennetzwerk.
Warum dieser Job: Beitrag zur Weiterentwicklung sicherer autonomer Fahrsysteme durch innovative Forschungsarbeit.
Gewünschte Qualifikationen: Bachelor in Maschinenbau, Fahrzeugtechnik oder ähnlichem, Englischkenntnisse, Teamfähigkeit.
Andere Informationen: Erfahrung mit Fahrsimulatoren und Programmierkenntnisse sind von Vorteil.

Das voraussichtliche Gehalt liegt zwischen 36000 - 60000 € pro Jahr.

Addressing the challenge of ensuring the safe performance of Autonomous Vehicles (AV) stands as a pivotal obstacle to the widespread adoption of this transformative technology. This research initiative encompasses a multifaceted approach aimed at understanding and enhancing the safety landscape of autonomous vehicles. Risk Assessment Methods (RAM) are techniques used by the AV to assess the risk within a given scene in a scenario and decide the best course of action. Currently, there are various RAMs that evaluate distinct risks, considering diverse sources in different scenarios. This project seeks to leverage simulation tools and software, utilising the driving simulator, CarMaker, to investigate and assess different RAMs.

The first objective of the work is to develop an overview of the state-of-the-art RAMs with a particular focus on a subset of methods that are applicable to similar scenarios or that assess the same risk. Subsequently, a select number of the investigated RAMs will be implemented into the driving simulator CarMaker. The aim of this step is to provide empirical evidence regarding the effectiveness and limitations of RAMs. Furthermore, the evaluation of the safety performance of each RAM will be conducted, scrutinising their ability to anticipate and respond to potential hazards in diverse driving scenarios. Through these systematic investigations, the project aims to contribute valuable insights to the refinement and selection of optimal RAMs, thereby advancing the safety and reliability of autonomous driving systems.

Content of the work:

literature research on the safety of autonomous vehicles
literature research on different risk assessment methods for autonomous vehicles
implementation of RAM into a driving simulator (CarMaker)
verification and validation of implemented method.
analysis and comparison of the performance of different RAMs
evaluation of the safety performance of each RAM
identification of possible future development
documentation of methodology and findings

DLR is certified as a family-friendly employer. We offer flexible working hours and occasional home office. A women’s network has been established at our institute.

Are you committed, cooperative, conscientious and responsible? Then apply for a job with us!

Bachelor’s degree in Mechanical, Automotive Engineering or similar proficiency in English good written and verbal communication skills ability to work as part of a team

Gewünschte Qualifikationen

Previous experience with a driving simulator (e.g. CarMaker) is advantageous Previous coding experience (preferably C++/Python) is advantageous

Payment

Je nach Qualifikation und Aufgabenübertragung bis Entgeltgruppe 5 TV EntgO Bund.