Professor

Peter Davies

Has open position

Professor

Queen's University

Canada

Research Interests

Fluid Mechanics

10%

Artificial Intelligence

10%

Mechanical Engineering

10%

Medical Science

10%

Electrical Engineering

10%

Biomedical Engineering

10%

Software Engineering

10%

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Positions(1)

Publisher
source

Muhammad Ismail

Queen's University

.

Canada

Fully Funded Graduate Student, PhD, and Postdoc Positions in AI, Biomedical Engineering, Robotics, and Engineering at Queen's University

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.

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