11 Apr Postdoctoral Researcher – Computer Vision for Human Pose Estimation
Postdoctoral Researcher – Computer Vision for Human Pose Estimation
Department: School of Physiotherapy
Principal Investigator: Shaun Boe, Laboratory for Brain Recovery and Function (boelab.com)
Location: Remote
Description:
This position (up to 2 years as part of an academic-industry partnership) involves developing a pose estimation and body movement tracking feature for use in a Unity app, and is co- lead by Dr. Shaun Boe and Axem Neurotechnology (axemneuro.com).
The successful applicant will be expected to work collaboratively with members of Axem Neurotechnology on the strategic plan for this feature’s development (i.e., choice of technologies and prototyping plan), and to work independently on its development and validation with support from Axem’s Unity developer(s).
Requirements for this role:
- Completed PhD
- Strong background in computer vision
Assets for this role:
- Strong communication skills
- Experience with Unity
- Evidence of expertise in computer vision and/or machine learning techniques related to computer vision (e.g., convolutional neural networks)
- Understanding of the strengths/weaknesses of contemporary tools for human pose estimation
- Experience with on-device machine learning
Noteworthy aspects of this role:
- Allows for exclusively remote work and flexible hours
- No lab administration burden
- No requirement to mentor/train students
- Enables both industry and academic (i.e., publishing) experience
Schedule: Part-time (hourly expectations to be negotiated)
Salary = Up to $56,000 CAD per annum plus benefits (https://www.dal.ca/dept/hr/Total-Compensation/Benefits/Post-DoctoralFellows.html)
Term of appointment = Up to 2 years
Start Date = Flexible
This Postdoctoral Fellowship is made possible thanks in part to funding from Mitacs.
Please click here to apply.
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