Finite difference time domain simulations for video-rate holography

Leuven - Master projects/internships
More than two weeks ago

Visualize the 3D display technology of the future with state-of-the-art optical simulators

Holography creates true 3D imaging by illuminating a sub-wavelength patterned structure. While static holograms are established since decades, video rate holography has not been realized due to very challenging resolution and bandwidth requirements. However, the ever-evolving silicon industry has made it plausible to target both requirements. The proposed Master thesis topic is making use of state-of-the-art semiconductor technology in realizing real 3D video projection.


This master thesis addresses the underlying principle of a holographic display, namely the light propagation in a slab waveguide with a metamaterial cladding. To achieve efficient and precise light outcoupling it is essential to understand the modulation requirements of the waveguide. Within this thesis, the candidate is performing time-dependent modelling of light propagation in various device designs by finite difference time domain simulations (FDTD) using a commercial software package. The target is to determine the experimental boundaries for material and design parameters that are used in the practical realization of the project.


Knowledge of the MATLAB or Python programming language are beneficial.


The candidate is going to join an interdisciplinary and multicultural team of highly skilled scientists and engineers that work at the forefront of research. We offer you the opportunity to make your next career step by working in one of the world’s premier research centers in nanotechnology at its headquarters in Leuven, Belgium.

You can expect from us a thorough training at the start of your job. We teach you how to work with the advanced algorithms and you gain a good inside on the experimental part related to your computational work.

Type of project: Internship, Thesis

Duration: minimum 6 months

Required degree: Master of Science, Master of Engineering Science

Required background: Computer Science, Nanoscience & Nanotechnology, Physics

Supervising scientist(s): For further information or for application, please contact: Guillaume Croes (

Only for self-supporting students

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