Doctoral Position in Theoretical Modeling of Nanocrystal Growth
Develop theoretical and computational models to understand and control semiconductor nanocrystal growth at ETH Zurich.
Best for:Best for graduate students with a strong background in thermodynamics, statistical mechanics, or computational materials modeling who want to bridge theory and experiment.
Overview
The Optical Materials Engineering Laboratory at ETH Zurich invites applications for a fully funded doctoral position focused on the theoretical modeling of semiconductor nanocrystal growth. The successful candidate will combine density functional theory, mass-balance rate equations, and kinetic Monte Carlo simulations to investigate how diverse nanocrystal morphologies emerge. Working closely with experimentalists, the doctoral student will use ETH Zurich's high-performance computing infrastructure to establish a universal theoretical growth framework. Applicants are expected to hold a relevant master's degree and demonstrate a strong quantitative foundation in physics, chemistry, materials science, or related computational disciplines.
What you'll do
- Develop theoretical frameworks and computational models for semiconductor nanocrystal nucleation and growth.
- Perform density functional theory calculations to evaluate surface, edge, and vertex energies of surfactant-terminated nanocrystals.
- Construct mass-balance and rate-equation models to analyze the coupled growth and dissolution of nanocrystal populations.
- Conduct kinetic Monte Carlo simulations to study early-stage morphological development and growth condition selections.
- Collaborate closely with experimentalists to align simulation predictions with optical and stability measurements.
- Contribute to general laboratory activities, assist with teaching duties, and supervise bachelor and master students.
Requirements
Degree required: MSc in chemistry, chemical engineering, mechanical engineering, materials science, physics, computational science, or a closely related discipline
Degree offered: PhD
Language: English; fluent oral and written communication skills
Instruction: English
- Strong background in thermodynamics, kinetics, statistical mechanics, solid-state physics, physical chemistry, or materials modeling
- Demonstrated quantitative foundation and enthusiasm for learning new computational techniques
- Ability to work independently and maintain a professional approach to research
- Collaborative mindset suited for working in an international research group
- Must hold or be close to completing an eligible master's degree
- Must meet admission requirements for the doctoral program at ETH Zurich
Funding & terms
How to apply
Prepare all required application documents combined into a single PDF file. Submit your application exclusively through the ETH Zurich online application portal. Emailed or postal submissions will not be reviewed.
- Cover letter
- CV
- Diplomas
- Course transcripts
- Contact details for at least three academic or professional references
Contact
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