Postdoctoral AI Researcher in AI/ML for Foundation Models, Scientific Applications, and AI Systems
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Kempner Institute for the Study of Natural and Artificial Intelligence Postdoctoral AI Researcher in AI/ML for Foundation Models, Scientific Applications, and AI Systems
Description
You will conduct research under the general supervision of Kempner faculty. You will advance foundation models, agentic workflows, tool-augmented models, and AI systems for high-impact scientific applications. You will contribute to advanced machine-learning research and develop as an independent scholar.
Responsibilities
- Conduct research under the general supervision of Kempner faculty
- Advance foundation models, agentic systems, and AI approaches for scientific applications
- Contribute to foundational machine-learning and domain-informed scientific applications
Requirements
- PhD in a related quantitative field
- PhD received on or after September 15, 2024, or completion of PhD requirements by October 15, 2026
- Modern AI/ML
- Deep learning
- PyTorch or JAX
- Publication record in leading conferences or journals
- Machine learning model implementation, training, evaluation, or fine-tuning
- Python
- Research code maintenance
- AI-assisted and agentic coding tools
- Technical communication
Benefits
- Benefits-eligible appointment