Computational Scientist I/II, Soft Matter Formulations , Complex Fluids

Develop scientific ML models and workflows for complex fluids and soft matter formulations. Build structure-property models that link composition, microstructure, and processing conditions to properties like rheology, phase stability, dispersion/aggregation, sedimentation, shelf-life, wetting, surface tension, foaming, and thermophysical performance. Create active learning pipelines across continuous compositional spaces and integrate mesoscale/continuum simulation outputs (e.g., coarse-grained MD, dissipative particle dynamics, CFD-linked features) to improve experimental decision-making and collaborate with experimental teams.