PhD - Statistical Methods for the Safety of Automated Driving
PhD - Statistical Methods for the Safety of Automated Driving
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Job Description
Autonomous driving is one of the most demanding research topics of our time. The enormous complexity of realworld driving situations gives rise to an outstanding challenge: How can it be assessed whether an automated driving system is safe to drive without any supervision knowing that there are so many more situations out there that no one might even think of from todays perspective
- In this position you will face this challenge under the aspect of statistical validation: You will bridge the gap between theory and application by contributing to mathematical theory (particularly to probability theory and statistics) as well as by applying your ideas and concepts to realworld driving data.
- You will work in a team of interdisciplinary scientists. By appropriate statistical modelling you will investigate the possibility to look beyond the data and to anticipate the remaining risks that are hiding out there.
Qualifications :
- Education: excellent Master degree in Mathematics or comparable
- Experience and Knowledge: profound knowledge in probability theory and statistics (desirable: experience in the area of extreme value theory beneficial: advanced knowledge in goodnessoffit testing likelihood theory and/or dependence modelling) basic programming skills (e.g. MATLAB Python R) and the willingness to extend them further are required
- Personality: highly selfmotivated logicalstructured thinking flexible communicative as well as team player
- Working Practice: structured goaloriented selfdependent and creative
- Enthusiasm: passion for new ideas and for the application of mathematical theory to realworld problems
- Languages: fluent in English or German with good reading and writing skills in English
Additional Information :
The final Phd topic is subject to your university.
Start: April 2025 or according to prior agreement
Please submit all relevant documents (incl. curriculum vitae certificates).
You want to work remotely or parttime we offer great opportunities for mobile working as well as different parttime models or jobsharing. Feel free to contact us.
Diversity and inclusion are not just trends for us but are firmly anchored in our corporate culture. Therefore we welcome all applications regardless of gender age disability religion ethnic origin or sexual identity.
Need support during your application
Sarah Schneck (Human Resources)
Need further information about the job
Stefan Aulbach (Functional Department)
49 9
Remote Work :
No
Employment Type :
Fulltime
Employment Type
Full-time
