WEITERE INFORMATIONEN

The successful candidate will be employed under a regular employment contract.
The position is to be filled at the earliest possible date and offered for a fixed term initially for 3 years.
An extension is possible.
The fixed-term employment is possible as it constitutes one of the fixed-term options of the Wissenschaftszeitvertragsgesetz (German Act on Fixed-term Scientific Contracts).
This is a part-time contract position.
The standard weekly hours will be 31,52 hours.
It is an 80% position.
The successful candidate has the opportunity to pursue a doctoral degree in this position.
The salary is based on the German public service salary scale (TV-L).
The position corresponds to a pay grade of EG 13 TV-L.

UNSER PROFIL

The Institute of Highway Engineering (ISAC) at RWTH Aachen University is seeking a motivated PhD student to join our research team. This innovative research aims to significantly improve pedestrian safety at urban intersections by developing AI-based models to predict distracted pedestrian behaviour using trajectory data, visual cues, and real-time simulations.
The project addresses the critical issue of pedestrian safety by creating predictive AI tools that can proactively identify and respond to distracted pedestrian behaviour at road crossings. The research leverages advanced simulation environments, machine learning, and thermal imaging technologies to detect behavioural anomalies indicative of distraction. Ultimately, the developed solutions will be validated through controlled simulations and real-world field tests, contributing to safer urban mobility.

Please refer the Job description for details