Computational Scientist I/II, Soft Matter Formulations, Solids and Melts
Tasks
- Build structure property models for solid and viscoelastic materials
- Build tools to interpret material data and recommend decisions
- Communicate model behavior uncertainty and recommendations
- Create processing aware representations for formulation and cure
- Define modeling targets for mechanical and thermal performance
- Design active learning workflows for formulation experiments
- Develop machine learning models for polymers and soft materials
- Incorporate molecular descriptors polymer descriptors and simulation outputs
- Partner with experimental teams to align models with measurements
Perks/Benefits
- Bike share memberships
- Commuter benefits
- Dental insurance
- Disability insurance
- Educational assistance
- Flexible time off
- Life insurance
- Medical insurance
- Paid parental leave
- Subsidized lunch
- Vision insurance
Skills/Tech-stack
Active Learning | Data Analysis | Deep learning | Experimental Design | Experimental data | Experimental data analysis | Machine Learning | Materials Science | Polymer science | Python | Rheology | Simulation | Soft matter | Soft matter physics | Uncertainty Estimation
Education
Master of Engineering | Master of Science | PhD | PhD in Chemical Engineering
Roles
Regions
Countries
States
Cities
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