PhD in Theoretical & Computational Nanocrystal Growth

ETH Zürich; Zürich; Vor Ort; CHF 60.000 - 70.000; Vollzeit

Benefits dieser Stelle

Advanced computing facilities

Training and teaching opportunities

International conferences attendance

Zusammenfassung

ETH Zurich's Optical Materials Engineering Laboratory seeks a curious doctoral student to develop theoretical and computational models of semiconductor nanocrystal growth, focusing on CdSe nanoplatelets, magic-sized nanocrystals, and later quantum dots. You will integrate DFT calculations, mass-balance models, and kinetic Monte Carlo simulations, collaborating with experimentalists, and using ETH's HPC resources.

The position is four years at 100% employment.

Qualifikationen

• MSc degree in chemistry, chemical engineering, mechanical engineering, materials science, physics, computational science, or related.
• Strong background in thermodynamics, kinetics, or materials modeling is preferred.
• Experience with theory-experiment collaboration and HPC is advantageous.

Aufgaben

• Develop theoretical/computational descriptions of nucleation and growth of nanocrystals.
• Combine DFT, mass-balance models, and kinetic Monte Carlo to explain growth regimes.
• Collaborate with experimentalists and utilize ETH HPC resources.

Kenntnisse

Density functional theory

Kinetic Monte Carlo

Numerical solutions

Scientific programming

High-performance computing

Ausbildung

MSc in chemistry

MSc in chemical engineering

MSc in mechanical engineering

MSc in materials science

MSc in physics

MSc in computational science

Tools

DFT software

Monte Carlo simulations

Numerical solvers

Scientific computing environments

Jobbeschreibung

ETH Zurich's Optical Materials Engineering Laboratory seeks a curious doctoral student to develop theoretical and computational models of semiconductor nanocrystal growth, focusing on CdSe nanoplatelets, magic-sized nanocrystals, and later quantum dots. You will integrate DFT calculations, mass-balance models, and kinetic Monte Carlo simulations, collaborating with experimentalists, and using ETH's HPC resources.

The position is four years at 100% employment.