Mila - Quebec Artificial Intelligence Institute

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Postdoc in Machine Learning – Out of distribution learning and few shot domaine adaptation
Mila - Quebec Artificial Intelligence Institute
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Mila - Quebec Artificial Intelligence Institute
Montreal, QC
Full-time

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Mila - Quebec Artificial Intelligence Institute

Postdoc in Machine Learning – Out of distribution learning and few shot domaine adaptation

Montreal, QC, Canada

Job type: Full-time
Apply by: Oct 18, 2026

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At a glance

Automatically prepared from the listing. Check the original description for the full requirements.

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Responsibilities

The postdoctoral fellow will conduct research on deep representation learning, out-of-distribution generalization, and few-shot transfer learning. They will collaborate with a startup to develop mechanisms for robust knowledge transfer with minimal data.

Requirements

Candidates must have a strong background in deep learning, representation learning, and solid mathematical foundations. A proven research experience and publication record are required, with a preference for PhD or Master's graduates.

Experience

0 to 2 years

Education

postgraduate degree

Working hours

40 hours per week

Work arrangement

On-site

Skills

Deep Learning
Representation Learning
Out-of-distribution Generalization
Few-shot Transfer Learning
Analogical Reasoning
Mathematics
Research

Visa sponsorship

Not detected in the job text

Keywords

Deep Learning
Representation Learning
Out-of-distribution Generalization
Analogical Reasoning
Few-shot Transfer Learning
Mathematics
Research
Postdoc
Startup
Bay Area
Montreal
Data Adaptation

Original job description

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 new 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

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Open jobs in Canada

Postdoc in Machine Learning – Out of distribution learning and few shot domaine adaptation

Gestionnaire de projet - Systèmes de Calcul Haute Performance (mandat de 6 mois)

Conseiller.ère Principal.e, Conception et réalisation - Médias sociaux

Conseiller.ère, Gouvernance de l'IA / Advisor, AI Governance

Responsable, image de marque

Conseiller.ère principal.e - Médias et relations publiques