Postdoctoral Fellow Position title
Postdoctoral Fellow – Machine Learning
Department
Faculty of Science – Computing Science
Postdoctoral Fellow Position Summary
The Foundations of Robust and Trustworthy Machine Learning (FORT) lab led by Prof Nidhi Hegde has an immediate opening for a postdoctoral researcher. The FORT lab focuses on a fundamental approach to developing robust and trustworthy algorithms for machine learning. This largely applies to notions of privacy and fairness, but also to more general concepts of robustness and stability. Applications range from supervised learning to bandits to language models to image segmentation. The current open position is for a project on Distributionally Robust Optimization as applied to these themes.
The selected candidate will be hosted in the FORT lab, in the Department of Computing Science at the University of Alberta and the Alberta Machine Intelligence Institute (Amii). Both Amii and the University of Alberta offer numerous opportunities of professional development for postdoctoral researchers to carve their paths, whether in academia or industry.
Qualifications
Minimum Qualifications
- PhD in computing science or a related area, with a focus on machine learning and statistics
- Evidence of high-quality research, such as publications in relevant top-tier venues
- Effective communicator in English, both written and spoken
Preferred Qualifications
- Expertise in optimization and theory in machine learning is sought
- Expertise in one or more of game theory, information theory, online learning is an asset
Benefit (Salary)
Position benefit package: Postdoctoral Fellows Benefits.
Application Deadline
Open until filled.
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