Postdoctoral Fellow - Multimodal Models and Machine Learning

This position has an initial appointment of 1 year, with the possibility of renewal.

Location - This role is in-person at North Campus Edmonton.

We invite applications for 2 Postdoctoral Fellow positions in machine learning and artificial intelligence, with a focus on multimodal foundation models and related areas. The successful candidate will join a collaborative research group lead by Dr. Xingyu Li, contribute to ongoing projects, and develop an independent research agenda aligned with the group’s broader interests.

Research areas of interest may include, but are not limited to:

• multimodal foundation models

• vision-language models and multimodal large language models

• trustworthy AI, robust generalization, and model evaluation

• efficient learning, adaptation, and representation design

• multimodal reasoning and structured understanding

This position offers the opportunity to pursue high-impact research in a fast-moving area of AI, work closely with graduate students, and publish in leading venues. The initial appointment will be for one year, with the possibility of extension for a second year.