Postdoctoral Appointee - Foundation Models with Federated Learning
UChicago Argonne(1 month ago)
About this role
A postdoctoral researcher position focused on advancing foundation model methodologies for scientific and engineering applications, emphasizing training, adaptation, and evaluation in distributed and privacy-aware settings. The role involves independent research, development of novel methods, and dissemination of results through publications and open-source artifacts, with access to large-scale computing resources and interdisciplinary collaboration.
Required Skills
- Foundation Models
- Federated Learning
- Distributed Learning
- Privacy-Preserving ML
- Deep Learning
- Python
- PyTorch
- Experimentation
- Research Writing
- AI Tools
Qualifications
- PhD in Computer Science, Applied Mathematics, Electrical Engineering, Statistics, or Related Field (completed within last 0–5 years)
- Background Check
- Potential Government Access Authorization
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