Publisher
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Queen's University

Fully Funded Master's, PhD, and Postdoc Positions in AI, Biomedical Engineering, Robotics, and Engineering Fields at Queen's University Queen's University in Canada

Degree Level

Master's, PhD, Postdoc

Field of study

Computer Science

Funding

All full-time research graduate students (Master's and PhD) at Smith Engineering are guaranteed funding for the default degree time (2 years for Master's, 4 years for PhD) as long as the student remains in good standing. Stipends are described as very competitive for PhD and postdoc positions. Some positions have special funding (e.g., Bruce-Mitchell PhD). Funding typically covers tuition and living expenses.

Deadline

Feb 27, 2026

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Country

Canada

University

Queen's University

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Keywords

Computer Science
Environmental Science
Biomedical Engineering
Mechanical Engineering
Electrical Engineering
Materials Science
Artificial Intelligence
Fluid Mechanics
Software Engineering
Water Resources Engineering
Batteries
Robotics
Mining
Smart Sensors
Machinelearning
Polymers
Human Factors
Power And Power Electronics
High-performance Computer

About this position

Smith Engineering at Queen's University in Canada is recruiting graduate students and postdoctoral fellows for fully funded positions in a wide range of engineering research areas. Opportunities are available for Master's, PhD, and Postdoc candidates to join projects in AI, biomedical engineering, batteries, carbon conversion, fluid dynamics, high performance computing, human factors, power electronics, polymers, robotics, sensors, smart mining, software engineering, and water engineering. The faculty comprises over 125 members and supports more than 600 graduate students, fostering a collaborative and multidisciplinary research environment.

Research topics include AI-aided virtual cell modeling, agentic AI, multimodal foundation models, microsensing technologies for pathogen detection, organ-on-a-chip and microfluidics for biomedical applications, and intelligent robotic platforms for healthy aging. Supervisors such as Dr. Zhixing Cao, Il-Min Kim, Ali Etemad, Yong Jun Lai, Carlos Escobedo, Peter Davies, Matthew Pan, and Amy Wu lead projects across departments including Chemical Engineering, Electrical and Computer Engineering, Mechanical Engineering, and Biomedical and Molecular Sciences.

All full-time research graduate students are guaranteed funding for the standard degree duration (2 years for Master's, 4 years for PhD), provided they remain in good standing. Stipends are competitive, and some positions offer special funding. The program values diversity and encourages applications from equity-seeking groups. Applicants should have strong academic backgrounds in relevant fields, research experience, programming skills, and a passion for multidisciplinary research. Specific requirements vary by project and may include experience in microfluidics, device fabrication, machine learning, or clinical practice.

To apply, candidates should contact project supervisors directly by email, submitting a CV, cover letter, and transcripts. Some positions require filling out an online form. The application deadline for certain positions is February 27, 2026, but many projects have flexible start dates and ongoing recruitment. For more information and a full list of open positions, visit the Smith Engineering graduate and postdoc recruitment page.

Funding details

All full-time research graduate students (Master's and PhD) at Smith Engineering are guaranteed funding for the default degree time (2 years for Master's, 4 years for PhD) as long as the student remains in good standing. Stipends are described as very competitive for PhD and postdoc positions. Some positions have special funding (e.g., Bruce-Mitchell PhD). Funding typically covers tuition and living expenses.

What's required

Applicants should have a strong academic background in relevant fields such as computer science, engineering, mathematics, physics, biology, or biomedical engineering. Specific requirements may include a master's or bachelor's degree, research experience, publications, strong programming skills (Python, TensorFlow, PyTorch), and solid problem-solving and communication abilities. Some positions value experience in microfluidics, organ-on-a-chip, MEMS, device fabrication, or clinical practice. Equity-seeking groups are encouraged to apply. Motivation, creativity, and ability to work independently and collaboratively are highly valued.

How to apply

Contact the relevant supervisor directly by email with your CV, cover letter, and transcripts. For some positions, fill out the provided application form. Review the list of open projects and supervisors on the Smith Engineering website. Ensure your application materials highlight your research interests and relevant experience.

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