"Postdoctoral Fellow - Machine Learning (Amii and Mila)"

Department:

Faculty of Science – Department of Computing Science

Position Type:

Full-Time Postdoctoral Fellowship

Part of the Postdoctoral Fellows Association

Duration: 2 years

Start Date: Open for immediate start

Location: Primarily in Edmonton, Alberta, with collaborative work periods at the Université de Montréal (MILA). Hybrid arrangements and accommodations for personal life events are possible.

Project Overview:

The University of Alberta invites applications for a Postdoctoral Fellow position in Machine Learning and Causal Inference, focused on:

Strategic Classification

Causal Models

Long-term Fairness

Robust Learning Algorithms

This collaborative project is led by:

Prof. Nidhi Hegde (University of Alberta & Amii)

Prof. Dhanya Sridhar (Université de Montréal & Mila)

And funded by the Canadian Institute for Advanced Research (CIFAR).

The selected fellow will benefit from the vibrant, world-renowned environments at both Amii (Alberta Machine Intelligence Institute) and Mila (Quebec Artificial Intelligence Institute), with strong support for professional development, academic advancement, and career transitions into industry.

Duties and Responsibilities:

Conduct cutting-edge research on strategic classification and causal learning

Publish in top-tier ML conferences and journals (e.g., NeurIPS, ICML, ICLR)

Collaborate closely with Prof. Hegde, Prof. Sridhar, and research teams at Amii and Mila

Present work at conferences and workshops

Mentor and potentially co-supervise graduate or undergraduate students

Minimum Qualifications:

PhD in Computing Science, Machine Learning, Statistics, or a related area

Strong publication record in relevant venues (e.g., NeurIPS, ICML, AISTATS, UAI, JMLR)

Strong communication skills in English (both written and spoken)

Preferred Qualifications:

Demonstrated expertise in:

Optimization

Causal Learning

Theoretical ML frameworks

Proven ability to work independently and collaboratively on complex research problems

Experience working in interdisciplinary or collaborative research teams

Application Instructions:

Submit:

1. Cover Letter including:

• Summary of past work and its relevance to the project
• Link to a representative publication with a brief explanation of your contribution
• Statement of interest and motivation

1. Curriculum Vitae (CV)
2. List of 3 references (names and contact info)

Priority and Equity:

• Priority will be given to Canadian citizens and permanent residents
• The University of Alberta is deeply committed to equity, diversity, and inclusion. Applications from women, Indigenous peoples, members of visible minorities, persons with disabilities, and 2SLGBTQIA+ individuals are strongly encouraged.

Benefits:

• Comprehensive benefits package
• See Benefits Overview

About the Institutions:

University of Alberta – Computing Science Department

• Established in 1964, Canada’s oldest and one of the largest CS departments
• Home to 51 faculty, 300+ grad students, 20 postdocs, and Amii-affiliated researchers

Amii (Alberta Machine Intelligence Institute)

• One of three national AI institutes under the Pan-Canadian AI Strategy
• A major hub for ML & AI research and commercialization

Mila (Quebec Artificial Intelligence Institute)

• The largest academic deep learning research center globally
• Based at Université de Montréal, with collaborations across Canada and beyond

Questions?

For specific inquiries, please reach out to either:

• Prof. Nidhi Hegde – [University of Alberta / Amii]
• Prof. Dhanya Sridhar – [Université de Montréal / Mila]

Note: Only applicants selected for interviews will be contacted.

Apply early — review of applications will continue until the position is filled.