Jobangebot connecticum Job-1764626
Master student Mechanical, Automotive Engineering or similar (f/
Deutsches Zentrum für Luft- und Raumfahrt (DLR)
Jobdatum: 12. August 2024
Einstiegsart: Abschlussarbeiten
Einsatzort:
70 Stuttgart; Baden-Württemberg
Arbeitgeber: Deutsches Zentrum für Luft- und Raumfahrt (DLR)
Jobdetails
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Info zum Arbeitgeber
Deutsches Zentrum für Luft- und Raumfahrt (DLR)
Wissenschaft & Forschung, Luft- und Raumfahrt, Energie, Verkehr, Sicherheit, Digitalisierung
Firmensprache
Deutsch, Englisch
Gründungsjahr
1907
Mitarbeiter
10.001 - 50.000
Branche
Energie, Forschung, IT Hardware, Luft- und Raumfahrttechnik, Sicherheit, Transport und Verkehr
Kontakt
Bei Fragen zu Stellenangeboten aus unserem Jobportal DLR.de/jobs wenden Sie sich bitte an die in den Stellenanzeigen genannten Ansprechpartnerinnen und Ansprechpartner.
Homepage
DLR.de
Karriere-Website
DLR.de/jobs
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Course paper/final thesis Enter the fascinating world of the German Aerospace Center (Deutsches Zentrum für Luft- und Raumfahrt; 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! Our Institute of Vehicle Concepts in Stuttgart is looking for a Master student Mechanical, Automotive Engineering or similar (f/m/x) Virtual Analysis of Risk Assessment Methods Used in Autonomous Vehicles What to expect: 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:
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!
What we expect from you:
What 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. Further information: Starting date: immediately
Duration of contract: 6 months
Type of employment: part time Remuneration: Je nach Qualifikation und Aufgabenübertragung bis Entgeltgruppe 5 TV EntgO Bund.
Vacancy-ID: 97098
Contact: Mel Vincent Dela Cruz Institut für Fahrzeugkonzepte Tel.: 0711 6862 8584 |
Info zur Bewerbung
Jobtitel:
Master student Mechanical, Automotive Engineering or similar (f/m/x)
Jobkennzeichen:
connecticum Job-1764626
connecticum Job-1764626
Bereiche:
Maschinenbau
Ingenieurwissenschaften: Maschinenbau
Jobdetails
Bewerbungsformular
Ingenieurwissenschaften: Maschinenbau
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