PhD Student Position in Numerical Modeling and Design of Plasmonic Crystals for Solar Energy
Join a research project focused on advancing solar energy technology through the numerical modeling and design of plasmonic crystals.
Best for:Best for physics or engineering graduates with a strong background in numerical modeling and an interest in renewable energy.
Overview
This PhD position focuses on the computational design and numerical simulation of plasmonic crystals to enhance solar energy harvesting efficiency. The successful candidate will work within a research environment dedicated to advancing renewable energy technologies through advanced physics-based modeling. The role involves developing numerical models to optimize light-matter interactions at the nanoscale. Applicants are expected to demonstrate strong analytical skills and a background in physics or a related engineering discipline. The position offers an opportunity to contribute to cutting-edge research in the field of solar energy.
What you'll do
- Develop and implement numerical models for the simulation of plasmonic crystal structures.
- Analyze light-matter interactions at the nanoscale to improve solar cell efficiency.
- Conduct literature reviews to stay current with advancements in plasmonics and solar energy.
- Collaborate with research team members to integrate computational findings into experimental designs.
- Document research methodologies, simulation results, and findings for publication in academic journals.
- Present research progress and findings at internal meetings and scientific conferences.
Requirements
Degree required: Master's degree in Physics, Engineering, or a closely related field.
Degree offered: PhD
Language: Proficiency in English is required for research and publication; French proficiency is not explicitly stated but may be beneficial.
Instruction: English
- Proficiency in numerical modeling and simulation software.
- Strong foundation in electromagnetism and optics.
- Experience with programming languages relevant to scientific computing, such as Python, MATLAB, or C++.
- Analytical and problem-solving skills applied to complex physical systems.
Funding & terms
How to apply
Deadline: 2026-11-30
Interested candidates should apply through the official portal provided by Campus France. Ensure all required academic documents and supporting materials are prepared for submission.
- CV
- Academic transcripts
- Cover letter
- Research statement
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