PhD in Plasmonic Crystals for Solar Energy — Numerical Modeling

Ecole Polytechnique Federale de Lausanne

Schweiz

On-site

CHF 55,000 - 70,000

Part time

14 days+

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Benefits offered by this job

International research environment
PhD supervision
Financial support

Job summary

Ecole Polytechnique Federale de Lausanne invites applications for a First Stage Researcher (R1) to pursue a PhD in the field of physics and microengineering. The project focuses on numerical modeling of nanostructured materials for solar energy applications within an SNSF program, with international collaboration and a strong emphasis on experimental design and data interpretation.

The successful candidate will work in a cutting-edge lab at EPFL, conduct simulations, analyze results, and publish

Qualifications

  • Master's-level degree in Physics, Optics, Micro-/Nanotechnology, Materials Science, Energy, or a related field.
  • Experience with numerical modeling and simulations is required.
  • Interest in micro-/nanostructures, solar energy and energy-related materials.

Responsibilities

  • Assume full responsibility for the PhD dissertation and research project.
  • Design and execute experiments in collaboration with international partners.
  • Analyze and interpret experimental results and publish in peer-reviewed journals.
  • Present at international conferences and contribute to teaching.

Skills

FDTD simulations
Light-matter interaction theory
Team collaboration
Independent working
English proficiency

Education

Master's degree in Physics/Optics/Materials Science

Tools

UV-VIS-NIR ellipsometry
UV-VIS-NIR spectrophotometry

Job description

Ecole Polytechnique Federale de Lausanne invites applications for a First Stage Researcher (R1) to pursue a PhD in the field of physics and microengineering. The project focuses on numerical modeling of nanostructured materials for solar energy applications within an SNSF program, with international collaboration and a strong emphasis on experimental design and data interpretation.

The successful candidate will work in a cutting-edge lab at EPFL, conduct simulations, analyze results, and publish

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