The Foundations of Robust and Trustworthy Machine Learning (FORT) lab led by Prof Nidhi Hegde has an immediate open position 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. We are seeking to fill this position immediately. The position is for one year, renewable for an additional year. The position also offers a benefits package found at Postdoctoral Fellows Benefits.
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.
Please submit at the link below the following:
We thank all applicants for their interest; however, only those individuals selected for an interview will be contacted.