"Post Doc Fellow - foundation models for anomaly detection"

Post Doc Fellow position on 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.

Qualifications:

Doctoral degree in Computer Science or related

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