These challenges await you:

• Review data obtained from the study to define and classify different driving patterns

• All drivers were asked to drive a specific test route in a simulated environment

• Each driver had to negotiate pre-determined scenarios on the road as they drove along the simulated environment

• Goal would be to review the data and determine specific patterns in driving behaviour

• The logic will be used for Valeo Customer projects

• You will interact and work with an ADAS engineering team

• Deliverables include (but not limited to) a report of the research work that is listed above, source code (prototype software implementation) that will be tested in a prototype vehicle

• Support the development of a rule based approach to determine specific driver manoeuvres

You inspire us with that:

• Prior knowledge of driver assistance systems (lane centering, lane keep assist etc.) and motivation to bring new ideas to improve the functions

• Experience in software coding in C/C++, Python.

• Experience in Matlab and Simulink

• Interest in working with data

• Knowledge of git/github

• Agile way of working

• Business fluent in English, German is a plus

• Be enrolled as a student in computer science, electrical engineering, mechatronics, automotive engineering, aerospace engineering, mathematics, physics, or a comparable field

Good to know:

• Your contact person: Alessa Knapp, Alessa.Knapp@valeo.com

• We value equal opportunities and welcome applications from people with diverse backgrounds as well as from people with disabilities.

• For data protection reasons, please submit your application documents exclusively online via the job portal on our website

Follow us on LinkedIn and Kununu !