Research Scientist, Generative Modelling for Materials and Chemistry (Generative AI)

TL;DR

Research Scientist (Generative AI): Building state-of-the-art generative models for chemistry and materials to accelerate scientific discovery with an accent on foundation models and complex physical systems. Focus on designing models to navigate vast chemical spaces and bridging the gap between in silico modeling and real-world discovery.

Location: London, UK

Company

A multidisciplinary AI research laboratory dedicated to accelerating scientific discovery by bringing together experts in machine learning, physics, chemistry, and biology.

What you will do

• Design and train advanced AI models, including transformers and generative models, to represent the structure and properties of complex physical systems.
• Develop deep scientific domain knowledge to identify and implement novel modeling approaches.
• Design and execute robust ML experiments and communicate results through clear verbal and written reports.
• Collaborate with other scientists and engineers to shape the overall research roadmap.

Requirements

• PhD or equivalent experience in Computer Science, Computational Chemistry, Materials Science, or Physics.
• Specialization in atomistic simulation or structural biology.
• Fluency in generative models and transformers.
• Hands-on experience with modern deep learning frameworks.
• Excellent collaboration and communication skills.

Nice to have

• Record of high-impact published work at the intersection of AI, chemistry, and materials science.
• Demonstrated experience in geometric deep learning.