Carlos Escobedo

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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.