Doctor of Philosophy in Computer Science - Human Computer Interaction

The David R. Cheriton School of Computer Science has an international reputation in teaching, academics, research, and employment. We attract exceptional students from all over the world to study and conduct research with our award-winning faculty. You can participate in research projects in a wide variety of topics with our internationally acclaimed researchers. Our research spans the field of computer science, from core work on systems, theory and programming languages to human-computer interaction, DNA and quantum computing to theoretical and applied machine learning, just to name a few. As a graduate student, you will: Access research-intensive lab spaces. Gain the opportunity to publish your work in top conferences and journals. Present at premier conferences in front of peers, industry leaders, researchers, and experts in your field. As a graduate student, you will have the independence to pursue your preferred area of research with a faculty If you want to continue pursuing research and expand your learning, you will work with a supervisor to develop a thesis. As a graduate student at the PhD level you will be expected to conduct meaningful research that expands the scope of your graduate work.

Human computer interaction (HCI) focuses on the design, evaluation and implementation of interactive computing systems. In a nutshell, we make systems easier-to-use, more efficient, and more compelling. In pursuit of these goals, HCI draws upon a wide range of fields, including the behavioural sciences, social sciences, visual arts, design and engineering. Current research projects focus on crowdsourcing, citizen science, gesture-based interaction, touch input, novel applications of machine learning and information retrieval in end-user applications, and the intersection of art and HCI. HCI lab members are part of the GRAND digital media research network and we have past and ongoing collaborations with companies like Google, Pinterest and Thalmic Labs, industrial research labs like Microsoft Research, Autodesk Research, the Palo Alto Research Center (PARC), Ricoh Innovations, and Mitsubishi Electric Research Labs (MERL), institutions such as the Natural History Museum in London, and academic institutions like University of Toronto, the French Institute for Research in Computer Science and Automation (INRIA), Carnegie Mellon University, Harvard University, and University College London.

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