Funded MSc/MASc Position in Automated Vehicles, HMI and Driving Safety at Toronto Metropolitan University
Toronto Metropolitan University
Assistant Professor Gelareh Hajian is recruiting a funded research master’s student at Toronto Metropolitan University to study automated vehicles, human-machine interaction and driving safety among aging and dementia populations using statistics and machine learning.
Assistant Professor Gelareh Hajian is recruiting a funded research master’s student in the Department of Mechanical, Industrial and Mechatronics Engineering at Toronto Metropolitan University.
The project investigates automated vehicles, human-machine interaction and driving safety in aging and dementia populations. The student will work with driving and physiological data and help conduct experimental driving studies.
Research activities may include statistical analysis of driving and physiological data; machine-learning and artificial-intelligence methods for driving behaviour; automated-vehicle takeover and safety-performance analysis; aging, cognitive decline and dementia-related driving challenges; and experimental data collection.
Degree clarification: the recruitment announcement describes this as an MSc position. Toronto Metropolitan University's official thesis-based research degree in Mechanical and Industrial Engineering is the Master of Applied Science (MASc), so shortlisted applicants should confirm the exact registration pathway with the supervisor.
Funding note: the announcement confirms that this is a funded position but does not state the stipend amount, tuition coverage, funding duration or other benefits. Applicants should confirm the complete funding package before accepting an offer.
How to apply: email Gelareh Hajian with your CV, transcript and a brief research statement. The start date is immediate or flexible. Shortlisted candidates must also complete Toronto Metropolitan University's formal graduate admission process.
Benefits
- A funded research master's position at Toronto Metropolitan University.
- Supervised research on automated vehicles, human-machine interaction and driving safety.
- Experience applying statistical and machine-learning methods to driving and physiological data.
- Experimental research addressing aging, cognitive decline and dementia-related mobility challenges.
- The exact stipend, tuition coverage, duration and benefits must be confirmed with the supervisor.
Eligibility summary
- Applicants seeking a research-based master's opportunity in engineering or a closely related discipline.
- Academic background in biomedical, electrical, computer or mechanical engineering, or a related field.
- Interest or experience in machine learning, human-machine interaction and statistics.
- No nationality restriction is stated in the announcement; international applicants must verify current academic, English-language, study-permit and funding conditions.
- Applicants must satisfy the university's current admission requirements for the applicable graduate program.
Requirements
- Relevant engineering or related academic preparation.
- Interest or experience in machine learning, human-machine interaction and statistics.
- Ability and motivation to conduct quantitative analysis and experimental research.
- Eligibility for the relevant Toronto Metropolitan University graduate program.
Documents required
- Current curriculum vitae.
- Academic transcript.
- Brief research statement explaining your interests and fit with the project.
- Any additional documents required during the university's formal graduate admission process.
Language/test requirements
How to submit applications
Provider: Department of Mechanical, Industrial and Mechatronics Engineering, Toronto Metropolitan University
Email your CV, transcript and a brief research statement to gelareh.hajian@torontomu.ca. The start date is immediate or flexible.
Listing-board disclaimer
Prime Scholarship Alerts is a listing board only and does not provide application procedures or guarantee scholarship awards. Verify all requirements, deadlines, fees, and application instructions through the provider before applying.