- Amsterdam, North Holland, Netherlands
- On-site
- Full-time · Intern
6-month MSC project internship focused on predicting melting point and viscosity of heavy/branched alkanes using hybrid DFT-ML methodology.
Responsibilities
- Formulate a next-generation of Group Contribution framework
- Augment classical first- and second-order structural groups with DFT-derived molecular descriptors and machine-learning corrections
- Use machine learning algorithms to learn higher-order interactions between structural groups and quantum-mechanical descriptors
- Complete an MSc thesis and final presentation
Requirements
- MSc