Publisher
source

York University

PhD Position in AI, Computer Vision, and Mobile Software for Digital Health at York University York University in Canada

Degree Level

PhD

Field of study

Computer Science

Funding

Available

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Country

Canada

University

York University

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Keywords

Computer Science
Data Science
Biomedical Engineering
Electrical Engineering
Information Technology
Artificial Intelligence
Software Engineering
Computer Vision
Digital Health
Medical Science
Bioimaging
Data Security
Mobile Application

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About this position

A PhD position is available at York University in Toronto, Canada, with LAB-HA and Prof. Razieh (Neda) Salahandish.

The project focuses on AI, computer vision, mobile software, and digital health, with research themes including image-based biosensing, secure data systems, and mobile applications.

Ideal applicants should have a master's degree in computer science, computer engineering, software engineering, data science, or a related field. Strong Python and Git skills are required, along with hands-on experience in AI/ML, computer vision/image processing, scalable data pipelines, data security, and software testing. Android and/or iOS development experience is valued, and industry, co-op, or startup experience is a plus.

This opening is for domestic applicants only. No funding details or deadline were stated in the post.

To apply, email your CV, academic transcripts, a short research statement, GitHub or representative code samples, and any relevant mobile-app or deployed-software links to [email protected]. Use the subject line: LAB-HA PhD Application - Your Name.

Funding details

Available

What's required

Master's degree in computer science, computer engineering, software engineering, data science, or a related field. Strong Python and Git experience are required. Hands-on experience with AI/ML and computer vision/image processing is expected, along with scalable data pipelines, data security, and software testing. Android and/or iOS development experience is preferred, and industry, co-op, and startup experience are valued. Domestic applicants only.

How to apply

Email a CV, academic transcripts, a short research statement, GitHub repository or representative code samples, and any published mobile-app or deployed-software links to [email protected]. Use the subject line "LAB-HA PhD Application - Your Name". Applications are accepted by email only.

More information can be found here

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