Postdoctoral AI Researcher in AI/ML for Foundation Models, Scientific Applications, and AI Systems at Kempner Institute for the Study of Natural and Artificial Intelligence – Harvard University | Jobyssey
Postdoctoral AI Researcher in AI/ML for Foundation Models, Scientific Applications, and AI Systems
Kempner Institute for the Study of Natural and Artificial Intelligence · Harvard University ·
A postdoctoral researcher at Harvard's Kempner Institute who advances foundation models, agentic workflows, tool-augmented models, and AI systems for high-impact scientific applications. Day to day: conduct ML research under Kempner faculty supervision, publish, and develop as an independent scholar using Python with PyTorch or JAX.
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