5 phd-machine-learning positions at Carleton University

Fulbright Canada Research Chair in North American Politics, Carleton University

The Department of Political Science at Carleton University is one of the largest in Canada. It encompasses thirty-five faculty members, who teach and research in all fields of the discipline and

Instructor I/II: Computer Science

computing, graphics, HCI, high-performance computing, machine learning, and networks. The School offers a Bachelor of Computer Science degree and graduate programs at the Master’s and Ph.D. levels. For more

Assistant Professor – School of Mathematics and Statistics

- track appointment in Data Science and Analytics at the rank of Assistant Professor beginning July 1, 2024. Candidates will have a PhD in Data Science and Analytics, Statistical Science or a related field

Assistant or Associate Professor and Canada Research Chair, Tier II – Business Analytics

expertise in one or more of the following areas: artificial intelligence (AI), data analytics, machine learning (ML), statistics, or other related areas. The ideal candidate would have an ongoing research

Instructor – Systems and Computer Engineering (Embedded Systems)

undergraduate and graduate students. It participates in a broad range of undergraduate and graduate programs. Qualifications At the time of appointment, candidates must: Have earned a PhD in Computer Engineering