Job Postings

2 Master’s positions in Automotive Human Factors

August 1, 2019   |   Categories: Job Postings

Last Updated on August 16, 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 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


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)

Applicants should submit (1) their CV, (2) description of research interest (1-page), and (3) email addresses of 2 references in one pdf to

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