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

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.

• Analogical Reasoning for Deep Learning

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.

• 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.