AI-Driven Materials Discovery Scientist

Applied Intuition Inc.; Greater London; On-site; GBP 70,000 - GBP 100,000; Full time

Job summary

A leading AI research lab in London is seeking a Research Scientist specializing in Machine Learning and Material Science. This role requires a Ph.D. and focuses on leveraging AI to discover new materials through computational and experimental methods. The ideal candidate will design advanced machine learning models and collaborate with interdisciplinary teams. Excellent programming and communication skills are essential, and experience with atomistic simulations is a plus. This position offers a dynamic work environment with a commitment to diversity.

Qualifications

• Ph.D. in Materials Science, Physics, Chemistry, Computer Science, or a related field.
• Experience with atomistic simulation tools (e.g., VASP, LAMMPS, Quantum ESPRESSO).
• Proficiency in Python and deep learning frameworks (PyTorch, JAX, or TensorFlow).
• Strong programming skills for workflow management, data analysis, and tool automation.
• Excellent teamwork and communication skills.

Responsibilities

• Leverage AI and computational tools to identify novel materials.
• Understand existing physical property prediction pipelines to identify bottlenecks.
• Design and train advanced machine learning models to approximate calculations.
• Utilize Large Language Models to parse scientific literature.
• Implement active learning strategies to guide search campaigns.

Job description

A leading AI research lab in London is seeking a Research Scientist specializing in Machine Learning and Material Science. This role requires a Ph.D. and focuses on leveraging AI to discover new materials through computational and experimental methods. The ideal candidate will design advanced machine learning models and collaborate with interdisciplinary teams. Excellent programming and communication skills are essential, and experience with atomistic simulations is a plus. This position offers a dynamic work environment with a commitment to diversity.