Computational Chemist (m/w/d)
Tasks
- Build QSPR and machine learning models for tribological property prediction
- Collaborate with external partners
- Conduct virtual screening of additives and lubricant formulations
- Contribute to digital twins of tribological systems
- Develop computational methods for lubricant and additive development
- Interpret analytical data
- Perform molecular modeling of base oils and additives
- Run and analyze molecular dynamics simulations
- Simulate interfacial adsorption and tribochemical processes
- Support development of new raw materials for lubrication
- Work with development and application engineering
Perks/Benefits
Skills/Tech-stack
Adsorption | Automation | Data Analysis | Density Functional Theory | Digital Twin | Machine Learning | Molecular Dynamics | Python | QSPR | ReaxFF | Tribochemistry | Virtual Screening
Education
Regions
Countries
States
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