2 Master’s positions in Automotive Human Factors

Updated: about 2 months ago
Deadline: 06 Sep 2019

About the position 

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's title is "On the effect of partially-automated driving on driver cognitive load: developing warning strategies to minimize collision risk" and is in collaboration with Automotive Companies and funded by a SSHRC 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’s tuition 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) - francesco.biondi@uwindsor.ca

-Dr. Chris Lee (Human Factors and Transportation Engineering) - cclee@uwindsor.ca

-Dr. Yong Hoon Kim (Transportation Engineering and Autonomous Vehicles) - YongHoon.Kim@uwindsor.ca

-Dr. Bala Balasingam (Machine Learning) - Balakumar.Balasingam@uwindsor.ca


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


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