PhD Candidate for Intelligent Scenario Generation for Assisted and Autonomous Driving (m/f/d)
PhD Candidate for Intelligent Scenario Generation for Assisted and Autonomous Driving (m/f/d)
Ingolstadt, DE, 85053 München, DE, 80807 Berlin, DE, 10178 Wolfsburg, DE, 38440
PhD Candidate for Intelligent Scenario Generation for Assisted and Autonomous Driving (m/f/d)
We are CARIAD, the automotive software company of the Volkswagen Group. Our teams build automotive software platforms and digital customer functions for iconic brands like Audi, Volkswagen, and Porsche – supporting the Volkswagen Group in becoming the leading automotive technology company. With CARIDIANS in Germany, the USA, China, Estonia, and India, we are transforming automotive mobility for everyone.
Join us and be part of this exciting journey!
YOUR TEAM
The aim of our PhD Program is to promote innovative topics that are relevant to CARIAD. We cooperate with top universities and bring new research projects to life. Our PhD candidates get the opportunity to create new innovations in their projects for CARIAD and the respective scientific field. All PhD projects are accompanied by a supervisor professor and a dedicated CARIAD mentor. Essential trainings for the PhD candidates complete the PhD Program.
For the department Assisted and Autonomous Driving Functions we are looking for a PhD candidate for the project “Intelligent Scenario Generation for Assisted and Autonomous Driving”. Our department works on the development of state-of-the-art assisted and autonomous driving functions with an end-to-end mentality and responsibility. Our team “Verification, Validation and Data Analytics” deals with enablement, data analytics, automated test case evaluation and deriving decisions from data. As a team.
WHAT YOU WILL DO
- PhD project with the working title: Intelligent Scenario Generation for Assisted and Autonomous Driving
- Leverage the power of GenAI to solve complex scenario generation problems, incl. corner cases
- Conduct research on data driven scenario extraction methods using large language models for driving systems
- Design an end to end pipeline from scenario extraction to scenario simulation to ensure generated scenarios comply with all the standards
- Collaborate with cross functional teams in AI research, scenario simulation and validation
- Developing a method to evaluate scenarios regarding its uniqueness, severity, novelty and criticality measures
WHO YOU ARE
- Master's degree in a relevant field: Mechatronics, Robotics, Computer Science, etc.
- Know-How and first hands-on knowledge of applying GenAI in context of scenario generation
- First experience with LLM APIs (especially Microsoft Azure)
- Very good programming skills (e.g. Python)
- A conscientious and independent way of working
- Fluency in English and good communication skills, German would be a plus
NICE TO KNOW
- Duration: 3 years
- Working with high ranked University
- Remote work options
- Possibility to supervise students
- Temporary work from abroad in selected countries
- 30 days paid leave
- Special Events e.g. PhD-Tag (Doktorandentag), Trainings
- Note: please upload your transcrip of records
Important: The PhD admission requirements are set by the university and candidates have to fulfill these requirements before starting their projects. Candidates need a confirmation by the supervisor professor before onboarding (not necessary for application) - If you have further questions about the candidate journey at CARIAD, please contact us: careers@cariad.technology
At CARIAD, we embrace individuality and diversity because we believe our differences make us stronger. We actively seek to build teams with a variety of backgrounds, perspectives, and experiences. Our goal is to create an environment where everyone feels valued and empowered to contribute. If you need assistance with your application due to a disability, please reach out to us at careers@cariad.technology - we are happy to support you.
We are CARIAD, the automotive software company of the Volkswagen Group. Our teams build automotive software platforms and digital customer functions for iconic brands like Audi, Volkswagen, and Porsche – supporting the Volkswagen Group in becoming the leading automotive technology company. With CARIDIANS in Germany, the USA, China, Estonia, and India, we are transforming automotive mobility for everyone.
Join us and be part of this exciting journey!
YOUR TEAM
The aim of our PhD Program is to promote innovative topics that are relevant to CARIAD. We cooperate with top universities and bring new research projects to life. Our PhD candidates get the opportunity to create new innovations in their projects for CARIAD and the respective scientific field. All PhD projects are accompanied by a supervisor professor and a dedicated CARIAD mentor. Essential trainings for the PhD candidates complete the PhD Program.
For the department Assisted and Autonomous Driving Functions we are looking for a PhD candidate for the project “Intelligent Scenario Generation for Assisted and Autonomous Driving”. Our department works on the development of state-of-the-art assisted and autonomous driving functions with an end-to-end mentality and responsibility. Our team “Verification, Validation and Data Analytics” deals with enablement, data analytics, automated test case evaluation and deriving decisions from data. As a team.
WHAT YOU WILL DO
- PhD project with the working title: Intelligent Scenario Generation for Assisted and Autonomous Driving
- Leverage the power of GenAI to solve complex scenario generation problems, incl. corner cases
- Conduct research on data driven scenario extraction methods using large language models for driving systems
- Design an end to end pipeline from scenario extraction to scenario simulation to ensure generated scenarios comply with all the standards
- Collaborate with cross functional teams in AI research, scenario simulation and validation
- Developing a method to evaluate scenarios regarding its uniqueness, severity, novelty and criticality measures
WHO YOU ARE
- Master's degree in a relevant field: Mechatronics, Robotics, Computer Science, etc.
- Know-How and first hands-on knowledge of applying GenAI in context of scenario generation
- First experience with LLM APIs (especially Microsoft Azure)
- Very good programming skills (e.g. Python)
- A conscientious and independent way of working
- Fluency in English and good communication skills, German would be a plus
NICE TO KNOW
- Duration: 3 years
- Working with high ranked University
- Remote work options
- Possibility to supervise students
- Temporary work from abroad in selected countries
- 30 days paid leave
- Special Events e.g. PhD-Tag (Doktorandentag), Trainings
- Note: please upload your transcrip of records
Important: The PhD admission requirements are set by the university and candidates have to fulfill these requirements before starting their projects. Candidates need a confirmation by the supervisor professor before onboarding (not necessary for application) - If you have further questions about the candidate journey at CARIAD, please contact us: careers@cariad.technology
At CARIAD, we embrace individuality and diversity because we believe our differences make us stronger. We actively seek to build teams with a variety of backgrounds, perspectives, and experiences. Our goal is to create an environment where everyone feels valued and empowered to contribute. If you need assistance with your application due to a disability, please reach out to us at careers@cariad.technology - we are happy to support you.
Ingolstadt, DE, 85053 München, DE, 80807 Berlin, DE, 10178 Wolfsburg, DE, 38440