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Master- und Projektarbeiten bei Prof. Calà Lesina in der AG "Computational Photonics" offen

Master's theses and project work with Prof. Calà Lesina in "Computational Photonics"

© Oleg Magni/Pexels.com/bearb. PhoenixD

In the field of optics and photonics, various topics for Master''s theses are available in the research group "Computational Physics" of Prof. Calà Lesina. Depending on the candidate''s qualifications, this can also be a student research project. Prof. Calà Lesina is a member of PhoenixD and team leader of the research group "Computational Photonics" at HOT - Hannover Centre for Optical Technologies.

The following topics are open:

1) Import of complex CAD geometries into in-house nanophotonics software

My group develops in-house a 3D Maxwell’s equations solver by exploiting parallel computing and the finite-difference time-domain (FDTD) method. The software is used to study how light interacts with nanostructured materials, so called metamaterials, to obtain optical properties beyond what the material itself can achieve. We currently cannot simulate geometries created with a CAD software, such as Solidworks or AutoCAD. The student will work on this integration. This will enable the simulation of highly complex geometries in nanophotonics.

2) Inverse design of nanophotonic structures with deep neural networks

Optical metasurfaces represent a revolutionary tool to manipulate the behaviour of light at the nanoscale. They can reduce the footprint of traditional optical components, e.g., flat lenses, and achieve optical properties otherwise not available (tunable beam steering, wavefront manipulation, etc), thus finding applications in all domains of optics and photonics. The design of metasurfaces rely on full-wave simulations combined with optimization algorithms, such as topology optimization, genetic algorithms, and particle swarm. In recent years, deep neural networks have been introduced for the inverse design of metasurfaces and nanostructured materials in general. The student will develop deep neural network techniques for the inverse design of optical metasurfaces.

Required qualifications for all projects/thesis:

  • Very good programming skills,
  • Very good knowledge of electromagnetic fields theory,
  • Excellent communication in English.

To apply please send CV and transcripts the office of Prof. Antonio Calà Lesina (office-calalesina@hot.uni-hannover.de).