What are the responsibilities and job description for the Postdoctoral Appointee - Federated Learning for Foundation Models position at Argonne National Laboratory?
The Mathematics and Computer Science Division (MCS) at Argonne National Laboratory is seeking a Postdoctoral Appointee to conduct cutting-edge research in machine learning, with a focus on the efficient training and deployment of foundation models in a federated learning framework. The Postdoctoral Appointee will work on the development and optimization of federated learning techniques to enable the training of large-scale foundation models across distributed clients, addressing key challenges such as data heterogeneity and communication efficiency.
The appointee will contribute to the conceptual framework, design, and implementation of federated learning architectures, with a particular emphasis on improving model performance, scaling across distributed systems, and ensuring privacy and security in data handling.
- Position Requirements
Required skills and qualifications :
Preferred skills and qualifications :
Postdoctoral Family
Postdoctoral Appointee
Long-Term (Fixed Term)
Full time
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