Machine Learning Research Scientist Graduate (Atomistic AI) - 2026 Start (PhD)

The AI for Science team has been focusing on tackling challenges in natural sciences, including biology, physics, and materials, with computational tools such as Machine Learning, Computational Chemistry, High-throughput Computation. Our goal is to create breakthroughs in natural science with new methodology and help the world.

• Stay up to date with cutting-edge research and collaborate with the team to develop a broad and in-depth understanding of key technical domains.
• Apply interdisciplinary approaches-combining machine learning, quantum chemistry, molecular dynamics, and other methods-to explore novel applications in biology and materials science.
• Integrate internal and external research outcomes to drive real-world implementation of research achievements and create widespread impact.