Advance computer vision research on driver gaze behavior with the NRC in Hamilton. Use deep learning and eye-tracking analysis onsite full time. As a Postdoctoral Fellow, you will study how human drivers adapt attention across changing weather conditions. Your research will develop interpretable metrics from gaze patterns using spectral graph analysis, then extend those findings through deep learning. The resulting pipeline will address scanpath analysis, future gaze trajectory forecasting, and future driving-action prediction. The fellowship lasts two years and includes work with a multidisciplinary research team, plus participation in other projects supporting well-rounded postdoctoral training.

Key Responsibilities
- Study driver eye-gaze behavior under adverse weather
- Extract interpretable metrics from gaze patterns




- Develop deep learning forecasting models
- Predict future gaze trajectories and driving actions
- Contribute to multidisciplinary research and training

Requirements:
- PhD obtained within three years or completion within six months
- Significant advanced deep learning development and application experience
- Python or C++ coding experience
- Experience using PyTorch, TensorFlow, Scikit-learn, NumPy, Pandas, and OpenCV
- Assets include human factors, graph theory, hardware, or research publication experience Bring computer vision, deep learning, and research expertise to an NRC fellowship examining attention in adverse weather.

📌 Computer Vision Research Postdoctoral Fellow (Canada)
🏢 National Research Council Canada
📍 Canada