Postdoctoral Fellow: Graph RL for Driver Vision

Automotive and Surface Transportation; London; On-site; CAD 83,000 - 117,000; Full time

Job summary

A leading research organization in Canada is seeking a Postdoctoral Fellow in Reinforcement Learning and Vision. The successful candidate will develop frameworks for analyzing driver gaze behavior under adverse weather, contributing to innovative research. Candidates with a PhD in a related field and significant experience are encouraged to apply. This full-time position based in London, Ontario offers a competitive salary ranging from $83,985 to $116,641.

Benefits

Competitive salary

Comprehensive health and dental coverage

Robust pension plan

Career development opportunities

Qualifications

• Significant experience in reinforcement learning.
• Experience in publishing in leading journals and conferences.
• Experience with graph theory considered an asset.
• Experience with data collection and hardware setup is an asset.
• Experience in writing clear and concise code in Python/C++.

Responsibilities

• Develop a graph-based inverse reinforcement learning framework.
• Analyze and forecast eye-gaze scanpaths of human drivers.
• Derive quantifiable metrics that capture shifts in gaze patterns.

Skills

Reinforcement learning

Graph theory

Data collection and hardware setup

Coding in Python/C++

Human factors research

Education

PhD in Computer Engineering, Computer Science, or a related field

Job description

A leading research organization in Canada is seeking a Postdoctoral Fellow in Reinforcement Learning and Vision. The successful candidate will develop frameworks for analyzing driver gaze behavior under adverse weather, contributing to innovative research. Candidates with a PhD in a related field and significant experience are encouraged to apply. This full-time position based in London, Ontario offers a competitive salary ranging from $83,985 to $116,641.