Publisher
source

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

Expired

Country flag

Country

Canada

University

Queen's University

Suggested positions

Publisher
source

Nanyang Technological University

Country flag

Singapore

NTU College of Engineering in Singapore is promoting fully funded PhD opportunities for research careers in high-impact areas including AI, sustainability, robotics, biomedical engineering, and renewable energy. The post highlights competitive funding options such as the Nanyang President’s Graduate Scholarship, NTU Research Scholarship, and industry-partnered fellowships. It also notes flexible entry conditions: GRE is not required, English tests can be replaced by an interview, and outstanding...

Computer Science
Environmental Science
Biomedical Engineering
+7 more

1 month ago

Publisher
source

Jie Wang

University of Manitoba

Country flag

Canada

Postdoctoral opportunity in safe robot autonomy and mobile manipulation at the University of Manitoba in the Robot Autonomy Lab . The project focuses on reliable robot autonomy in complex, dynamic environments using wheeled quadruped robots and mobile manipulators. Research directions include safe navigation in crowded environments, uncertainty-aware planning and control , mobile manipulation , coordinated whole-body control for everyday tasks such as object retrieval, door opening, and elevator...

Computer Science
Mechanical Engineering
Electrical Engineering
+2 more

2 weeks ago

Publisher
source

Université du Québec à Trois-Rivières

Country flag

Canada

PhD opportunity in Canada at Université du Québec à Trois-Rivières (UQTR) , in collaboration with the Hydrogen Research Institute (IRH) and OPAL-RT Technologies . The project focuses on advanced modeling of perception systems for an autonomous intelligent tractor operating in challenging agricultural environments. Research topics include sensor noise and disturbance modeling for camera, LiDAR, and radar , evaluating how perception uncertainty affects trajectory planning and energy consumption , ...

Computer Science
Environmental Science
Agriculture
+5 more

3 weeks ago

Publisher
source

Université du Québec à Trois-Rivières

Country flag

Canada

Fully funded PhD position in Canada at Université du Québec à Trois-Rivières (UQTR) . The project is in the areas of AI , Machine Learning , Hydrogen Fuel Cells , and Energy Management . This is a strong fit for students interested in computational methods for energy systems, intelligent control, sustainable energy technologies, and applied research at the intersection of computer science and engineering. The post explicitly states that the position is fully funded . No deadline, eligibility det...

Computer Science
Mechanical Engineering
Electrical Engineering
+5 more

2 days ago

Publisher
source

University of Southampton

Country flag

United Kingdom

PhD opportunity at the University of Southampton in robotics, ultrasonic sensing, civil engineering, mechanical engineering, mechatronics, and materials characterisation . This project, Robotic ultrasonic drilling for real-time, minimally invasive subsurface damage characterisation in degraded concrete , develops a robotic ultrasonic drilling system for high-resolution assessment of internal damage in concrete exposed to harsh conditions such as marine environments, fire, radiation, and freeze-t...

Computer Science
Environmental Science
Signal Processing
+8 more

1 week ago

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.

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts and confirm requirements with the university.

Professors

Professor

University Name
Country flag

Canada

Research Interests

Artificial Intelligence

Computational Neuroscience

Deep Learning

Materials Science

Smart Sensors