Fellow in AI/ML for Scientific Applications, Foundation Models, and AI Systems

You will conduct research under the direction of a Kempner Institute investigator. You will advance foundation models, agentic workflows, tool-using models, and AI systems for scientific applications, including life sciences. You will collaborate on foundational machine-learning and domain-informed research.

Responsibilities

• Conduct research under the direction of a Kempner Institute investigator
• Advance foundation models, agentic systems, and AI approaches for scientific applications
• Collaborate on foundational machine-learning and domain-informed scientific applications

Requirements

• Bachelor’s or master’s degree in a related quantitative field
• Modern AI/ML
• Deep learning
• PyTorch or JAX
• Research publications or substantial open-source research contributions
• Machine learning model implementation, training, evaluation, or fine-tuning
• Python
• Research code maintenance
• AI-assisted and agentic coding tools
• Technical communication