Publisher
source

Muhammad Ismail

10 months ago

Fully Funded Graduate Student, PhD, and Postdoc Positions in AI, Biomedical Engineering, Robotics, and Engineering 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 at Smith Engineering, Queen's University are guaranteed funding for the default degree time (2 years for research Master's, 4 years for PhD) as long as the student remains in good standing. Stipends for PhD and postdoc positions are described as very competitive. Some positions have special funding (e.g., Bruce-Mitchell PhD).

Deadline

Expired

Country flag

Country

Canada

University

Queen's University

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Keywords

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

About this position

Smith Engineering at Queen's University, Canada, is recruiting graduate students and postdoctoral fellows for fully funded positions in a wide range of engineering and science disciplines. Research areas include artificial intelligence (AI), biomedical engineering, robotics, batteries, carbon conversion, fluid dynamics, high performance computing, human factors, power electronics, polymers, sensors, smart mining, software engineering, and water engineering. The program offers a collaborative and innovative environment with over 125 faculty members and 600 graduate students working on impactful projects.

Current open positions span multiple departments and research groups. For example, Dr. Zhixing Cao leads projects in AI-aided virtual cell modeling, combining machine learning and biophysics to advance biomedical discovery. Dr. Il-Min Kim's group focuses on agentic AI, vision-language models, and safe AI, with opportunities for PhD and postdoc candidates with strong coding and AI/ML backgrounds. Dr. Ali Etemad offers a fully funded PhD in multimodal foundation models at the Human-Centered AI and Interactive Machines (Aiim) lab. Dr. Yong Jun Lai seeks Master's and PhD students for microsensing technologies in biomedical engineering. Drs. Carlos Escobedo and Peter Davies supervise a Bruce-Mitchell PhD project on microphysiological models and bacterial infection strategies, with special funding and a deadline of February 27, 2026. Drs. Matthew Pan and Amy Wu are recruiting for the CINTHeA initiative, developing intelligent robotic platforms for healthy aging.

Applicants should have relevant academic backgrounds (computer science, engineering, mathematics, physics, biology, biomedical engineering) and skills such as programming (Python, TensorFlow, PyTorch), research experience, and a passion for multidisciplinary work. Some projects require expertise in microfluidics, organ-on-a-chip, cell culture, or mechatronics. The program values diversity and encourages applications from equity-seeking groups.

All full-time research graduate students are guaranteed funding for the default degree time (2 years for Master's, 4 years for PhD) as long as they remain in good standing. Stipends for PhD and postdoc positions are highly competitive, and some positions offer special funding. To apply, candidates should contact project supervisors directly by email with their CV, cover letter, and transcripts, or fill out the provided application forms. More details and supervisor contacts are available on the Smith Engineering website.

Funding details

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

What's required

Applicants should have a strong background in relevant fields such as computer science, engineering, mathematics, physics, biology, or biomedical engineering. Specific requirements may include a bachelor's or master's degree, research experience, programming skills (Python, TensorFlow, PyTorch), and a passion for multidisciplinary research. Some positions require experience in microfluidics, organ-on-a-chip, cell culture, or mechatronics. Excellent communication skills and the ability to work independently and collaboratively are valued. Equity-seeking groups are encouraged to apply.

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Professors

Professor

University Name
Country flag

Canada

Research Interests

Artificial Intelligence

Computational Neuroscience

Deep Learning

Human Factors

Biomedical Engineering

Professor

University Name
Country flag

Canada

Research Interests

Water Resources Engineering

Fluid Mechanics

Robotics

Smart Sensors

High-performance Computer

Professor

University Name
Country flag

Canada

Research Interests

Fluid Mechanics

Artificial Intelligence

Polymers

Electrical Engineering

Software Engineering