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PhD positions in Human Factors of Autonomous Driving
The Human Systems Lab (http://www.hslab.org) at the University of Windsor is looking for highly motivated candidates for a PhD in Human Factors of Autonomous Driving with a start date of Fall 2023. The multidisciplinary research team led by Dr. Francesco N. Biondi and Dr. Balakumar Balasingam has active projects in the fields of Transportation Human Factors, Cognitive Ergonomics, Cognitive Load Estimation and Fatigue Detection. The projects are funded via collaborations with both public and private partners.
Key references to previous work:
Biondi et al. (2021). On the cost of detection response task performance on cognitive load. Pillai, P. et al. (2020). Response time and eye tracking datasets for activities demanding varying cognitive load. Biondi et al. (2019). Human–vehicle cooperation in automated driving: A multidisciplinary review and appraisal.
Qualification requirements
- Master’s degree in Psychology, Industrial Engineering, Cognitive Science, Kinesiology or related fields with a minimum 80% GPA in the last 2 years
- Excellent English skills (written and oral)
- Past experience conducting experimental and Human Factors studies.
- Past experience in signal processing and machine learning.
- Knowledge of R, Matlab, and Python
- All students can apply, but candidates from outside Canada are invited to consider University of Windsor’s tuition fees for international students before applying (available at http://www.uwindsor.ca/intl/)
Main duties and responsibilities
- Signal processing, data modeling, and machine learning
- Data collection using physiological measures and driving simulator
- Data processing using software such as R, Matlab, and Python.
- Dissemination of research findings at conferences and via publications
What we offer
- Graduate assistant scholarships (~$5,000/each).
- Competitive entrance scholarship of $7,500 for the first year (80% GPA required).
- Research funding available
- Excellent career opportunities to collaborate with project partners and work in Automotive Human Factors.
How to apply
Submit the application package below to hslab@uwindsor.ca
• Resume
• Cover Letter
• Research Statement
• Transcript
Key references to previous work:
Biondi et al. (2021). On the cost of detection response task performance on cognitive load. Pillai, P. et al. (2020). Response time and eye tracking datasets for activities demanding varying cognitive load. Biondi et al. (2019). Human–vehicle cooperation in automated driving: A multidisciplinary review and appraisal.
Qualification requirements
- Master’s degree in Psychology, Industrial Engineering, Cognitive Science, Kinesiology or related fields with a minimum 80% GPA in the last 2 years
- Excellent English skills (written and oral)
- Past experience conducting experimental and Human Factors studies.
- Past experience in signal processing and machine learning.
- Knowledge of R, Matlab, and Python
- All students can apply, but candidates from outside Canada are invited to consider University of Windsor’s tuition fees for international students before applying (available at http://www.uwindsor.ca/intl/)
Main duties and responsibilities
- Signal processing, data modeling, and machine learning
- Data collection using physiological measures and driving simulator
- Data processing using software such as R, Matlab, and Python.
- Dissemination of research findings at conferences and via publications
What we offer
- Graduate assistant scholarships (~$5,000/each).
- Competitive entrance scholarship of $7,500 for the first year (80% GPA required).
- Research funding available
- Excellent career opportunities to collaborate with project partners and work in Automotive Human Factors.
How to apply
Submit the application package below to hslab@uwindsor.ca
• Resume
• Cover Letter
• Research Statement
• Transcript