PhD scholarship in Computational Nanoelectronics Simulations - DTU Physics
Tasks
- Apply machine learning to extend density functional theory to large system sizes
- Build first principles based multiscale computational workflows for screening calculations
- Collaborate with experimental partners to interpret results
- Contribute to development of open source computational tools
- Develop predictive models for electron transport in twisted interfaces
- Perform electron transport calculations using density functional theory and nonequilibrium green function methods
- Predict interface atomic and electronic structure using density functional theory
Perks/Benefits
Skills/Tech-stack
Atomistic simulations | Density Functional Theory | Electron transport | Machine Learning | Moiré Patterns | Non Equilibrium Green Functions | Open Source | Scientific programming | Twist Angle Modeling
Education
Roles
PhD researcher | Research Scientist | Researcher | Scientist
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