Join the forefront of autonomous driving innovation with our PhD position focusing on Explainable AI in Machine Vision. Dive into interdisciplinary research, combining engineering and humanities, to shape the future of AI-driven transportation.

The PhD position focuses on advancing the field of autonomous driving through the lens of Explainable AI (XAI) in Machine Vision. As AI systems become integral to autonomous vehicles, understanding and enhancing their transparency, safety, and accountability is paramount. This interdisciplinary project delves into technical aspects of AI, while also considering human factors and societal norms.

Tasks include reviewing relevant literature in AI safety and explainability, developing evaluation frameworks, and collaborating on engineering projects. The candidate will be part of the Mobile Perception Systems lab and the Philosophy & Ethics group, contributing to the LTP ROBUST consortium funded by NWO and NXP Semiconductors.

Qualifications 

• Master’s degree (or equivalent) in computer science, cognitive science, or related fields
• Interest and experience in social science and humanities, such as philosophy, psychology, or governance
• Proficiency in engineering, programming, and AI research (e.g., PyTorch, Tensorflow)
• Research-oriented mindset with an ability to work in interdisciplinary teams
• Fluency in English (C1 level)

How to Apply:

Interested candidates should submit:

• A cover letter detailing motivation and qualifications
• Curriculum vitae with publication list and contact information for three references
• A writing sample (~10 pages) demonstrating the integration of technical and social science/humanities expertise