Computational Scientist I/II, Soft Matter Formulations, Solids and Melts

Develop machine learning models and tools to accelerate discovery of solid and viscoelastic soft materials, connecting formulation choices and processing history to structure, morphology, and end-use performance. Build structure-property and cure-/processing-aware representations using experimental, simulation, rheological, thermal, mechanical, and formulation datasets. Create active learning workflows aligned with high-throughput formulation workcells and partner with experimental teams to translate model uncertainty and recommendations into practical decisions.