Postdoctoral Appointee - Federated Learning and Foundation Model

The Postdoctoral Appointee role at Argonne National Laboratory focuses on advancing the understanding and training of foundation models, particularly in distributed and federated settings. The position involves conducting research on optimization and training dynamics for large-scale machine learning, designing efficient and private training algorithms, and contributing to open-source software. The appointee will collaborate with university and national laboratory partners, publish research, and mentor students while growing their professional skills.