PhD Student Generative AI Automated Driving (f/m/d)
PhD Student Generative AI Automated Driving (f/m/d)
Wolfsburg, DE, 38436
PhD Student Generative AI Automated Driving (f/m/d)
The future of mobility is changing. What do we contribute to this? Volkswagen produces vehicles in 14 countries and delivers them to customers in more than 150 markets worldwide. Electromobility, smart mobility and digital transformation are our core topics for the future. For many millions of people, Volkswagen is the epitome of mobility – not only today, but also tomorrow. Become part of it and help develop new solutions with your curiosity and ideas. You can expect a diverse team that supports you and with whom you can grow together and develop your potential.
Questions about this position can be answered by Fabian Wenzel at fabian.wenzel@volkswagen.de
Brief Role Description
As part of Volkswagen Group Innovation, our team deals with AI & Data Analytics tasks in the development of digital services for different Volkswagen Group brands. This includes topics such as processing and analyzing vehicle data as well as integrating artificial intelligence (AI) into digitized vehicles. State-of-the-art AI methods address perception and scene understanding problems in automated driving. We investigate the effect of difficult and adverse driving scenarios as part of testing processes. Within these fields of innovation, we offer you the possibility to participate in the research and development of intelligent algorithms in an interdisciplinary team and to help shape the mobility of tomorrow.
Possible Tasks within this Role
-
Undertaking a PhD in the research area "Generative AI for Autonomous Driving"
-
Collaborating on a complex problem in the exciting field of automated driving, particularly with deep neural networks for scene understanding and scenario generation
-
Developing algorithms for the systematic detection of traffic scenes with anomalies or adverse conditions
-
Using generative AI for the synthetic creation or augmentation of scenarios
-
Investigating such methods and publishing selected results at scientific conferences or in professional journals
The final doctoral topic is defined together with the professor (f/m/d). The prerequisite for the cooperation is the confirmation of supervision as well as a confirmed delimitation of topics by the professor (f/m/d) of a university or research institution entitled to confer a doctorate.
Qualification requirements
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Good to very good university degree with eligibility for a doctorate in computer science, robotics, mathematics, physics, engineering or comparable courses
-
Fluent English skills (at least B2 level)
-
Good knowledge of programming with Python, C++
-
Profound knowledge in machine learning (ML) and in ML frameworks such as PyTorch
-
EU driving license (passenger car)
At Volkswagen, we value an inclusive and diverse culture. We offer a trustworthy environment because we live up to our corporate principles.
Responsibility – Sincerity – Courage – Diversity – Pride – Cohesion – Reliability
The future of mobility is changing. What do we contribute to this? Volkswagen produces vehicles in 14 countries and delivers them to customers in more than 150 markets worldwide. Electromobility, smart mobility and digital transformation are our core topics for the future. For many millions of people, Volkswagen is the epitome of mobility – not only today, but also tomorrow. Become part of it and help develop new solutions with your curiosity and ideas. You can expect a diverse team that supports you and with whom you can grow together and develop your potential.
Questions about this position can be answered by Fabian Wenzel at fabian.wenzel@volkswagen.de
Brief Role Description
As part of Volkswagen Group Innovation, our team deals with AI & Data Analytics tasks in the development of digital services for different Volkswagen Group brands. This includes topics such as processing and analyzing vehicle data as well as integrating artificial intelligence (AI) into digitized vehicles. State-of-the-art AI methods address perception and scene understanding problems in automated driving. We investigate the effect of difficult and adverse driving scenarios as part of testing processes. Within these fields of innovation, we offer you the possibility to participate in the research and development of intelligent algorithms in an interdisciplinary team and to help shape the mobility of tomorrow.
Possible Tasks within this Role
-
Undertaking a PhD in the research area "Generative AI for Autonomous Driving"
-
Collaborating on a complex problem in the exciting field of automated driving, particularly with deep neural networks for scene understanding and scenario generation
-
Developing algorithms for the systematic detection of traffic scenes with anomalies or adverse conditions
-
Using generative AI for the synthetic creation or augmentation of scenarios
-
Investigating such methods and publishing selected results at scientific conferences or in professional journals
The final doctoral topic is defined together with the professor (f/m/d). The prerequisite for the cooperation is the confirmation of supervision as well as a confirmed delimitation of topics by the professor (f/m/d) of a university or research institution entitled to confer a doctorate.
Qualification requirements
-
Good to very good university degree with eligibility for a doctorate in computer science, robotics, mathematics, physics, engineering or comparable courses
-
Fluent English skills (at least B2 level)
-
Good knowledge of programming with Python, C++
-
Profound knowledge in machine learning (ML) and in ML frameworks such as PyTorch
-
EU driving license (passenger car)
At Volkswagen, we value an inclusive and diverse culture. We offer a trustworthy environment because we live up to our corporate principles.
Responsibility – Sincerity – Courage – Diversity – Pride – Cohesion – Reliability
Wolfsburg, DE, 38436