Post Doc Fellow - foundation models for anomaly detection

Starting March 1, 2026:

For a 1-year funded project on developing foundation models for anomaly detection; with a focus on studying generalization to real-world tasks; including but not limited to designing pretraining datasets, studying training dynamics, working on multi-task pretraining over a mixture of synthetic and realistic data priors. (The term may be renewed for another year, upon mutual interest.)

The position must be in-person.

Note that a written reference from your PhD advisor as well as from an external collaborator are requested.

The position will remain open until filled.

Doctoral degree in Computer Science or related

1. Resume

2. Research Statement/Project Proposals

3. 2 Recommendation letters (1 advisor, 1 external)