Postdoctoral Fellow - Machine Learning (Amii and Mila)

Competition 1405

This position is open for an immediate start, is two years in duration and offers a benefits package found at Postdoctoral Fellows Benefits.

Location - The position will begin as a hybrid in Edmonton, Alberta. Due to the collaborative nature of this project, the postdoctoral fellow may spend periods of time both at the University of Alberta and at the University of Montreal. However, accommodations for personal life events will be possible.

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

Founded in 1964, the Department of Computing Science at the University of Alberta is the oldest and one of the largest computing science departments in Canada. We have an international reputation for contributions in the many fields of computing, both in foundations and applications. The Department currently consists of 51 faculty members, over 300 graduate students, 20 post-doctoral fellows and research associates, over 1300 undergraduate students and 12 administrative staff. Our research partners come from a wide variety of industries and other academic disciplines.

Position 

We are seeking a postdoctoral researcher for a collaborative project jointly led by Prof Nidhi Hegde (University of Alberta, Amii) and Prof Dhanya Sridhar (Université de Montréal, MILA) and funded through the Canadian Institute for Advanced Research (CIFAR).

The focus of the project is on strategic classification and causal models. In particular, we aim to study long-term fairness and develop robust learning algorithms in a strategic classification framework.

The selected candidate will benefit from the motivating environments at both the Alberta Machine Intelligence Institute (Amii) and Mila - Quebec Artificial Intelligence Institute. Both institutes and affiliated universities offer numerous opportunities for professional development for postdocs to carve their paths, whether in academia or industry.

Duties 

• Participate in research on the above theme
• 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 and causal 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.