The University of Calgary is offering fully funded PhD and MSc positions in the Department of Computer Science, supervised by Assistant Professor Miti Mazmudar. The research focus is on Privacy-Enhancing Technologies (PETs), human-centered software engineering, and interdisciplinary approaches that combine privacy, security, and software development. The lab specializes in designing efficient privacy-enhancing technologies for modern distributed architectures and integrating them into software engineering lifecycles, with a strong emphasis on user-centered design and practical impact.

Applicants should have a solid background in applied cryptography, computer networks, software engineering (including cloud computing), and human-computer interaction. Demonstrated excellence in relevant undergraduate courses, projects, or industry experience is expected. The group does not focus on machine learning or artificial intelligence, so candidates with interests solely in those areas are not a fit. The positions are fully funded, covering tuition and providing a stipend for living expenses, though the exact amount is not specified.

To apply, candidates should submit their application through the University of Calgary's graduate admissions process and also email Dr. Miti Mazmudar with a CV (including GitHub and Google Scholar if applicable), transcripts, and a research statement (maximum two pages). The email subject line should begin with 'UofC Application'. The start date for both positions is Fall 2026, and the application deadline is December 28, 2025. For more information, applicants can visit Dr. Mazmudar's academic page and review the graduate program requirements.

Key research areas include privacy-enhancing technologies, human-centered software engineering, applied cryptography, computer networks, cloud computing, human-computer interaction, and interdisciplinary research in privacy and security. The University of Calgary provides a collaborative and innovative environment for graduate students interested in advancing privacy and security in software systems.