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Postdoctoral Fellow
2 weeks ago
**Department** Faculty of Science - Computing Science
**Hours per week** **Posted date** September 4, 2024
**Closing date** Will remain open until filled.
**Position Type** Full Time
**Description**:
This position is open for an immediate start, is two years in duration, and offers a benefits package found at Postdoctoral Fellows Benefits.
**Location** - Work primarily takes place at North Campus Edmonton. This role is hybrid with a mix of remote and in-person.
**Working at the University of Alberta**
- The University of Alberta acknowledges that we are located on Treaty 6 territory, and respects the histories, languages and cultures of First Nations, Métis, Inuit and all FirstPeoples of Canada, whose presence continues to enrich our vibrant community._
The University of Alberta is a community of knowledge seekers, change makers and world shapers who lead with purpose each and every day. We are home to over 14,000 faculty and staff, more than 40,000 students and a growing community of 300,000 alumni worldwide.
Your work will have a meaningful influence on a fascinating cross-section of people — from our students and community members, to our renowned researchers and innovators, making discoveries and generating solutions that make the world healthier, safer, stronger and more just. Learn more.
**Working for the Department of Computing Science**
**Position**
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.
**Duties**
- Participate in relevant research and direct projects
- Work with and potentially co-supervise students
- (Co)-write high impact scientific publications
- Present your work at top-tier conferences
**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
**_ In your cover letter, summarize your past work, link to a representative publication with a description of it, and include a list of three references._**
We thank all applicants for their interest; however, only those individuals selected for an interview will be contacted.
