Computational Scientist I/II, Soft Matter Formulations , Complex Fluids
Tasks
- Build structure property models for composition to microstructure to bulk properties
- Build tools to interpret complex fluid data and prioritize formulations
- Collaborate with experimental teams to align models with measurement workflows
- Communicate model performance uncertainty and recommendations
- Create active learning workflows over compositional spaces
- Define modeling targets for rheology and phase stability
- Develop machine learning models for complex fluid systems
- Incorporate mesoscale and continuum simulation coupling into ML workflows
- Model shelf life and interfacial and wetting behavior
- Predict dispersion aggregation and sedimentation behavior
Perks/Benefits
- Commuter benefits
- Dental insurance
- Educational assistance
- Flexible time off
- Life and disability insurance
- Medical insurance
- Paid parental leave
- Subsidized lunch program
- Vision insurance
Skills/Tech-stack
Active Learning | Coarse Grained Molecular Dynamics | Computational Fluid Dynamics | Data Analysis | Data Modeling | Dissipative particle dynamics | Experimental Data Modeling | Experimental data | Fluid Dynamics | Formulation science | Interfacial science | Machine Learning | Molecular Dynamics | Particle dynamics | Phase Stability | Python | Python Data | Python data analysis | Rheology | Structure-property relationships
Education
Regions
Countries
States
Cities
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