• Design, develop, and implement AI algorithms capable of real-time traffic violation detection using edge computing.
• Create a gamification framework that incorporates behavioral psychology to motivate and educate drivers towards safer driving habits.
• Analyze data from multiple sources, including high-definition traffic cameras and IoT sensors, ensuring all protocols comply with privacy laws.
• Work collaboratively with traffic management authorities to integrate the developed technologies into existing systems and streamline real-time data usage.
• Evaluate the effectiveness of the technology through both quantitative metrics and qualitative feedback, iterating the system based on findings.

The VITRONIC Research Chair is spearheading an ambitious project designed to significantly reduce traffic violations and accidents through the innovative use of Artificial Intelligence (AI) and gamification. This research initiative seeks to develop a sophisticated AI system capable of detecting traffic violations in real time, which is then paired with a gamification-based coaching system tailored to individual driver behaviors. The aim is to transform the traditional punitive approach to law enforcement into a more engaging, educational, and ultimately effective method of promoting safer driving practices. This project represents a pioneering effort to merge technological advancements with psychological strategies to address a pressing global issue of road safety. As a PhD researcher in this high-impact project, you will contribute to the creation and integration of cutting-edge technologies designed to improve road safety, reduce accidents, and foster a culture of proactive compliance with traffic regulations.

• You hold a Masters degree in a relevant field such as Engineering, Computer Science, Data Analytics or Transportation Sciences. A computer science or data science background is a plus. (or equivalent)
• You have prior exposure to or interest in behavioral sciences and gamification applications.
• Demonstrable experience with machine learning, computer vision, AI, and edge computing is a plus.
• You have a proficiency in programming languages relevant to AI development, such as Python or Java.
• You have strong analytical skills, are capable of handling complex data structures and large datasets.
• You are proficient in the use of common software programs, especially MS Office applications.
• You are willing to further improve your knowledge and skills in line with professional needs.
• You are able to present and report on project results clearly.
• You are willing to go on short trips abroad and have the ability to travel easily between Belgium, United Arab Emirates (Dubai) and Germany.
• You have the necessary qualities to function within a multidisciplinary research group.
• You have excellent written and verbal communication skills (English), possibly with a history of academic publications.

You will be appointed and paid as PhD student.
We offer you a full-time position in a fixed-term contract (2 x 2 years, after positive mid-term evaluation). Starting date to be agreed upon.

The selection procedure consists of a preselection based on application file and an interview.

Apply now
Apply up to 10.09.2024