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The Cognitive Ergonomics and Transportation Labs at the University of Windsor are looking for 2 highly-motivated candidates for MS in Engineering or Kinesiology in Automotive Human Factors (start date: Fall 2019 or Winter 2020). The project is in collaboration with Major Automotive Companies and funded by a federal grant. Project goals are understanding and measuring the effect of using automated vehicle technology on driver workload.
Main duties and responsibilities
The student will work under the supervision of a multidisciplinary team of experts in Human Factors, Civil Engineering, and Machine Learning. Their duties will include (but are not limited to):
-Data collection using physiological measures and driving simulator
-Data analysis using software such as R and Matlab
-Dissemination of research findings at conferences and via publications
Qualification requirements
-Bachelor’s Degree in Engineering (for a MS in Engineering), Human Factors and Ergonomics (for MS inKinesiology), or related fields with a minimum 80% GPA in the last 2 years
-Past experience in conducting experimental and Human Factors work (preferred but not required)
-Excellent English skills (written and oral)
-All students can apply, but candidates from outside Canada are invited to consider University of Windsor’stuition fees for international students before applying (available at http://www.uwindsor.ca/intl/)
What we offer
-3 GA scholarships (~$5,000/each) guaranteed over the 2-year program
-Competitive entrance scholarship of $7,500 for the first year (80% GPA required)
-$6,000/year of extra funding (up to $10,000/year based on performance)
-Excellent career opportunities to collaborate with project partners and work in Automotive Human Factors
Research Team
-Dr. Francesco Biondi (Cognitive Ergonomics and Human Factors)
-Dr. Chris Lee (Human Factors and Transportation Engineering)
-Dr. Yong Hoon Kim (Transportation Engineering and Autonomous Vehicles)
-Dr. Bala Balasingam (Machine Learning)
MS flyer_no image.pdf
Applicants should submit (1) their CV, (2) description of research interest (1-page), and (3) email addresses of 2 references in one pdf to uwindsordriving@gmail.com
Main duties and responsibilities
The student will work under the supervision of a multidisciplinary team of experts in Human Factors, Civil Engineering, and Machine Learning. Their duties will include (but are not limited to):
-Data collection using physiological measures and driving simulator
-Data analysis using software such as R and Matlab
-Dissemination of research findings at conferences and via publications
Qualification requirements
-Bachelor’s Degree in Engineering (for a MS in Engineering), Human Factors and Ergonomics (for MS inKinesiology), or related fields with a minimum 80% GPA in the last 2 years
-Past experience in conducting experimental and Human Factors work (preferred but not required)
-Excellent English skills (written and oral)
-All students can apply, but candidates from outside Canada are invited to consider University of Windsor’stuition fees for international students before applying (available at http://www.uwindsor.ca/intl/)
What we offer
-3 GA scholarships (~$5,000/each) guaranteed over the 2-year program
-Competitive entrance scholarship of $7,500 for the first year (80% GPA required)
-$6,000/year of extra funding (up to $10,000/year based on performance)
-Excellent career opportunities to collaborate with project partners and work in Automotive Human Factors
Research Team
-Dr. Francesco Biondi (Cognitive Ergonomics and Human Factors)
-Dr. Chris Lee (Human Factors and Transportation Engineering)
-Dr. Yong Hoon Kim (Transportation Engineering and Autonomous Vehicles)
-Dr. Bala Balasingam (Machine Learning)
MS flyer_no image.pdf
Applicants should submit (1) their CV, (2) description of research interest (1-page), and (3) email addresses of 2 references in one pdf to uwindsordriving@gmail.com