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), machine learning, biomedical engineering, robotics, sensors, microfluidics, high performance computing, smart mining, software engineering, polymers, fluid dynamics, human factors, power electronics, carbon conversion, and water engineering. The program offers a collaborative and inclusive environment, with over 125 faculty members and 600 graduate students working on cutting-edge projects to address global challenges. Graduate students (Master's and PhD) and postdocs are guaranteed funding for the standard degree duration (2 years for research Master's, 4 years for PhD) provided they remain in good standing. Stipends are highly competitive, and some positions, such as the Bruce-Mitchell PhD, offer special funding. The research environment is multidisciplinary, with opportunities to work on impactful projects such as AI-aided virtual cells, agentic AI, multimodal foundation models, microsensing technologies for pathogen detection, organ-on-a-chip models, and intelligent robotic platforms for healthy aging. Applicants should have a strong background in relevant fields, including computer science, engineering, mathematics, physics, biology, or biomedical engineering. Specific positions may require expertise in AI/ML, coding (Python, PyTorch/TensorFlow), microfluidics, organ-on-a-chip, cell culture, or device fabrication. Previous research experience and publications are preferred for some roles. The program values curiosity, creativity, and a passion for multidisciplinary research, and encourages applications from equity-seeking groups. To apply, candidates should contact project supervisors directly by email, submitting a CV, cover letter, and academic transcripts. Some positions may require completion of an online form. The application deadline for certain positions is February 27, 2026, but many positions have flexible start dates. For more information and a list of supervisors, visit the Smith Engineering graduate and postdoc positions webpage. Key supervisors include Dr. Zhixing Cao (AI and Chemical Engineering), Il-Min Kim (AI and Electrical Engineering), Ali Etemad (Human-Centered AI), Yong Jun Lai (Biomedical Engineering), Carlos Escobedo and Peter Davies (Chemical Engineering and Biomedical Sciences), Matthew Pan and Amy Wu (Biomedical Mechatronics). Research groups offer access to state-of-the-art resources and personalized mentorship. Queen's University is committed to fostering an inclusive and supportive environment, welcoming diverse perspectives and backgrounds. This is an excellent opportunity for motivated students and researchers to contribute to innovative projects and advance their careers in engineering and science.

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.

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.