AI Residency Program, Material Science (2026 Cohort)
Core
Full-time research residency bridging academic research and industry applications in AI for materials science, focusing on open-science projects.
Role type
Research Scientist (AI for Materials Science)
Builds
Novel approaches to scientific discovery and ML-accelerated simulations
Domain
Materials Science + Artificial Intelligence
Deliverable
research
Required skills
Python, deep learning frameworks (PyTorch), large-scale datasets handling, modern AI/ML architectures, strong research background
Preferred skills
ML applications in scientific domains, Bayesian optimization, active learning, generative models, reinforcement learning, open-source contributions
Technologies
PyTorch, high-performance compute infrastructure
Responsibilities
Design and execute independent research projects, collaborate with scientists and engineers on open-science initiatives, explore domains like ML-accelerated simulations and agentic science, contribute to collaborative team research, share findings internally and externally
Seniority
Early-career researcher (Bachelor's to PhD level)