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Robin Chhabra

4 months ago

PhD and Postdoc Positions in Robotics, Mechatronics, Soft Robotics, and Embodied AI at Toronto Metropolitan University Toronto Metropolitan University in United States

Degree Level

PhD, Postdoc

Field of study

Computer Science

Funding

CIRTA-funded positions. PhD funding is $55K/year for up to 3 years. Postdoc funding is $90K/year for up to 2 years.

Deadline

Expired

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Country

United States

University

Tokyo Metropolitan University

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Keywords

Computer Science
Machine Learning
Mechanical Engineering
Electrical Engineering
Aerospace Engineering
Artificial Intelligence
Robotics
Programming Language
Autonomous System
Mechatronics

About this position

Toronto Metropolitan University’s ELIXIR Lab (Embodied Learning and Intelligence for eXploration and Innovative Soft Robotics) is recruiting for PhD and postdoctoral positions through the Canada Impact+ Research Training Awards (CIRTA).

The lab works in robotics, mechatronics, embodied AI, soft and bio-inspired robotics, learning-based and geometric control, autonomous aerial and space systems, and human-centered robotics. This is a strong fit for candidates interested in intelligent, resilient robotic systems and adaptive robotic intelligence.

Funding: PhD positions are funded at $55K/year for up to 3 years, and postdoctoral positions are funded at $90K/year for up to 2 years. The post is explicitly CIRTA-funded.

Eligibility / preferences: Applicants should have a strong background in robotics, AI, machine learning, or control, plus solid programming skills in Python, C++, or MATLAB. The post asks applicants to include up to three research interests, a statement, CV, transcripts, and references.

How to apply: Email [email protected] with the subject line CIRTA Award Candidate: PhD/Postdoc. Early applications are encouraged.

Deadline: 2026-05-09.

Funding details

CIRTA-funded positions. PhD funding is $55K/year for up to 3 years. Postdoc funding is $90K/year for up to 2 years.

What's required

Strong background in robotics, AI, machine learning, or control, with solid programming skills in Python, C++, or MATLAB. Applicants should submit interests (up to 3), a statement, CV, transcripts, and references.

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