Fellow in AI/ML for Scientific Applications, Foundation Models, and AI Systems
Harvard University’s interdisciplinary institute for research on intelligence in natural and artificial systems.
Funding history
About Kempner Institute for the Study of Natural and Artificial Intelligence
The Kempner Institute brings together Harvard researchers, engineers, and students to study biological and machine intelligence, advance AI technologies, train researchers, and operate dedicated AI computing infrastructure.
Skills
About the Role
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.
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
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
Hiring Process
Short video presentation reviewing past work, followed by a Zoom interview for a subset of candidates.