Research Scientist, Soft Matter Simulations
Core
Apply soft matter physics and molecular simulation expertise to accelerate the discovery and optimization of complex soft matter systems like polymers, colloids, and gels using coarse-grained and atomistic modeling, mesoscale simulation, and agentic AI systems.
Role type
Research Scientist (Soft Matter Simulations)
Builds
Atomistic, coarse-grained, and mesoscale simulation capabilities; predictive ML models for formulation selection; agentic AI systems for autonomous scientific discovery and closed-loop experimentation.
Domain
Soft matter physics, molecular dynamics, AI/ML, computational materials science
Deliverable
production ML models
Required skills
Soft matter physics (polymers, colloids, surfactants, gels, liquid crystals), atomistic and coarse-grained molecular dynamics, mesoscale methods (DPD, Monte Carlo, SCFT), Python scientific software development, HPC/cloud simulation automation, agentic AI systems
Preferred skills
Compiled languages (C++, Rust, Fortran), GPU acceleration (JAX, PyTorch), open source simulation packages (LAMMPS, HOOMD-blue, GROMACS, OpenMM), ML potentials, active learning and Bayesian optimization pipelines
Technologies
Python, JAX, PyTorch, LAMMPS, HOOMD-blue, GROMACS, OpenMM, HPC, cloud infrastructure
Responsibilities
Implement and deploy simulation capabilities for soft matter systems; engineer simulation software with modern scientific libraries; translate simulation outputs into descriptors and datasets for ML models; develop and deploy agentic AI systems; communicate physical insights and model limitations to collaborators.
Seniority
Senior, hands-on IC
