Graduate Students have a variety of research opportunities available to them. For additional information, contact Professor A. Banihashemi, the Associate Chair of Graduate Studies.
MASc and PhD Students
Students enrolled in the MASc and PhD programs typically engage in research with their supervisor. In addition to formal supervisor based research opportunities, students may also consider fellowships and other projects included below. Many faculty members will list projects via their personal websites which can be found here: Systems and Computer Engineering Faculty, Cross-Appointed Faculty, and Adjucts.
A number of fellowships offered by Ericsson are available to outstanding graduate students at both MASc and PhD levels. In addition to attractive financial support, these fellowships provide excellent opportunities to collaborate with Ericsson on a variety of interesting projects. Whether you are already a graduate student at the SCE Department or still considering our gradate programs, you can apply to the Ericsson-Carleton 5G Fellowships from here. For further information, you can contact your supervisor or the Associate Chair for Graduate Studies (gchair@sce.carleton.ca).
Ericsson-Carleton 5G Fellowships
- 2025-2026 Research Projects
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Project Several graduate positions in the BioMechatronics Lab Supervisor Dr. C. Rossa Website https://www.biomechatronics.ca/opening/ Student Category MASc/PhD Project Description The Biomechatronic Lab is actively seeking motivated graduate and undergraduate students to join our research team. We welcome applications from Canadian and international candidates, and offer a supportive multidisciplinary environment with competitive stipends. Areas of research include mechatronics, robotics, teleoperation, instrumentation, and medical imaging. Pre-requisite Prospective students are encouraged to contact Dr. Rossa to discuss both listed and unlisted projects at any time. Project Multiple Projects Supervisor Dr. Jason Jaskolka Website https://carleton.ca/cybersea/positions-available/ Student Category MASc/PhD Project Description The Cyber Security Evaluation and Assurance (CyberSEA) research lab is looking for suitable candidates with research interests and background in one or more of the following areas, including but not limited to, cyber security evaluation and assurance, threat modeling, security-by-design, and formal methods and data-driven approaches for software and security engineering. Please see the above project inventory for more details.
Project Machine learning for biomedical informatics Supervisor Dr. J. Green Website www.sce.carleton.ca/faculty/green Student Category MASc/PhD Project Description The cuBIC lab has several ongoing projects applying machine learning to problems in biomedical informatics. These include both medical informatics (e.g. patient monitoring in the NICU) and bioinformatics (e.g. protein/RNA analysis). Project Advanced research on Cyber-Physical systems, Modeling, and Simulation Supervisor Prof. Gabriel A. Wainer Website https://arslab.sce.carleton.ca | @ARSlab_CU Student Category MASc/PhD Project Description Project Description ARSLab is a cutting-edge Modeling & Simulation research lab based in the Department of Systems and Computer Engineering. It’s located in the Carleton University Centre for Visualization and Simulation (V-Sim), and is overseen by Prof. Gabriel A. Wainer. The research focuses on the automated generation executable models from system specifications, utilizing the Discrete Event System Specification (DEVS) formalism. We’re dedicated to expanding this work with new theory, methodologies, development tools, and integrating 3D visualization with simulation results. The research includes applications in varied areas, ranging from forest fire simulation, supervisory control systems for avionics and real-time embedded systems software. Project Ultrasound imaging and measurements for biomedical applications Supervisor Dr. Yuu Ono Website www.sce.carleton.ca/faculty/ono Student Category MASc/PhD Project Description R&D on ultrasonic sensors, methods, system, signal processing, and machine learning for tissue characterization, biomedical monitoring and diagnosis. The projects include (but not limited to): muscle monitoring and characterization, cardiovascular monitoring, lung ultrasound, and ultrasound elastography. Project Multiple Projects Supervisor Dr. Leila Mostaço-Guidolin Website https://www.teb-lab.com/ Student Category UG / MASc / PhD / MEng Project Description The Tissue Engineering & Biomaterials (TEB) Lab welcomes enthusiastic undergraduate and graduate students to join our growing, multidisciplinary team. We offer a collaborative environment and access to state‑of‑the‑art facilities. Current research themes span biomaterials design, cell‑ and tissue‑engineering, organ‑on‑chip platforms, advanced label‑free microscopy (confocal, multiphoton, Raman) and image analysis & machine learning. Pre‑requisite: Interested candidates are encouraged to read the details of the open positions and reach out to Dr. Mostaço-Guidolin to discuss the open positions. Please ensure you follow the application guidelines posted.
- 2022-2023 Research Projects
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Project Machine Learning applied to Network Management Supervisor Dr. B. Esfandiari Website https://carleton.ca/nmai/ Student Category MASc/PhD Project Description The goal of the project is to apply machine learning techniques to logs of network management traces, and to extract rules that can automate some of the more repetitive tasks of a human operator. The provided data may need to be cleaned and pre-processed in order to be usable by a machine learning algorithm. The choice of the algorithm is up to you, but needs to be justified given the nature of the data. Relevant metrics should be used to assess the performance of your algorithm. Pre-requisite students must have taken, and excelled at, one of the machine learning or pattern classification courses offered in the program. Project Ultrasound imaging and measurements for biomedical applications Supervisor Dr. Yuu Ono Website www.sce.carleton.ca/faculty/ono Student Category MASc/PhD Project Description R&D on ultrasonic sensors, methods, system and signal processing for tissue characterization, biomedical monitoring and diagnosis. The projects include (but not limited to): muscle monitoring and characterization, cardiovascular monitoring including artery diameter tracking and measurement, ultrasound elastography. Project Multiple Projects Supervisor Dr. Jason Jaskolka Website https://carleton.ca/cybersea/positions-available/ Student Category MASc/PhD Project Description The Cyber Security Evaluation and Assurance (CyberSEA) research lab is looking for suitable candidates with research interests and background in one or more of the following areas, including but not limited to, cyber security evaluation and assurance, threat modeling, security-by-design, and formal methods and data-driven approaches for software and security engineering. Please see the above project inventory for more details.
Project Resource Management on BigData Processing Platforms Supervisor Dr. S. Majumdar Website www.sce.carleton.ca/faculty/majumdar.html Student Category MASc/PhD Project Description Research on various issues underlying allocation and scheduling is underway. The focus of attention is parallel processing systems including MapReduce/Hadoop, Spark and specialized stream processing platforms. Project Machine learning for biomedical informatics Supervisor Dr. J. Green Website www.sce.carleton.ca/faculty/green Student Category MASc/PhD Project Description The cuBIC lab has several ongoing projects applying machine learning to problems in biomedical informatics. These include both medical informatics (e.g. patient monitoring in the NICU) and bioinformatics (e.g. protein/RNA analysis).
MEng Students
MEng students have the opportunity to engage in a course based project with a faculty member in the Department of Systems and Computer Engineering. In this course, MEng students collaborate with a professor to conduct an engineering study, analysis, and/or design project. Learn more about MEng Projects.
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