PhD Studentship in Safety Assurance of Machine Learning for Autonomous Driving Systems at York University York University in United States

Professor Alvine Boaye Belle at York University (Lassonde School of Engineering, Toronto, Canada) is recruiting two PhD students to join her research group.

The research focus is the safety assurance of machine learning-enabled autonomous driving systems, with projects at the intersection of software engineering, machine learning, and safety science, especially for the automotive domain.

Eligibility highlights: applicants should hold an MSc in Computer Science (preferably Software Engineering), have at least a B+ GPA or equivalent, know software modeling concepts, be proficient in Python, and have strong knowledge of Generative AI technologies. Good interpersonal, analytical, writing, and communication skills are expected, and applicants must be fluent in English.

Important restriction: the post states that international students are no longer eligible because the admission deadline for international applicants has already passed. The opening is therefore only for Canadian citizens and permanent residents.

Deadline: June 30, 2026. Expected start date: September 1, 2026 or January 1, 2027.

How to apply: email a complete application package containing a CV, 1–2 recent publications if any, and a cover letter explaining how you meet the criteria. The professor’s profile page provides contact details, including email.

Research keywords: software engineering, machine learning, safety assurance, autonomous driving systems, generative AI, software modeling, automotive AI.