I'm looking for a Postdoctoral Fellow to join my research group in collaboration with a well-funded science- and research-focused startup operating in the Bay Area and Montreal.

Research themes

- Deep Representation Learning
- Out-of-Distribution Generalization
- Analogical Reasoning for Deep Learning
- Few-Shot Transfer Learning

Research goal How can we transfer knowledge from an existing distribution to a current one using only a handful of examples? We're interested in learning representations and transfer mechanisms that enable robust adaptation with minimal data. The project is still being shaped, making this a great opportunity to help define the research direction from the ground up.

Ideal background

- Deep Learning
- Representation Learning




- Strong mathematical foundations
- Research experience and publication record

Start date: ASAP Funding secured Initial appointment: 1 year , with potential extension and possible transition to the startup for the right candidate While the position is primarily aimed at postdoctoral researchers , PhD or Master's candidates who are an exceptionally good fit may also be considered.

No LLMs!!! No Foundation Models!

To apply send me

- CV
- Publication list
- Reference letters 1-3
- All University Transcripts

📌 Postdoc in Machine Learning – Out of distribution learning and few shot domaine adaptation (Montreal)
🏢 Mila - Quebec Artificial Intelligence Institute
📍 Montreal