Postdoctoral AI Researcher in AI/ML for Foundation Models, Scientific Applications, 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 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.
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
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
Benefits
- Benefits-eligible appointment
Hiring Process
Short video presentation reviewing past work, followed by a Zoom interview for a subset of candidates.