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Internship –Wave Optical Simulations for Micro-optical Structures (f/m/x)

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Location
Oberkochen, Germany
Type
Internship
Seniority
Internship
Education
Master
Source
Workday

Description

For a variety of modern optical systems, reliable characterization and simulation of wave-optical propagation effects is crucial. Depending on the application, this may involve selecting, adapting, or comparing different numerical approaches, ranging from efficient wave-propagation algorithms to rigorous solvers such as finite-difference time-domain (FDTD) methods and related techniques. The choice of a suitable method with respect to numerical complexity, performance, and accuracy therefore plays a fundamental role. As part of this internship or thesis, promising approaches will be investigated and compared for relevant application examples, such as optical waveguides, photonic integrated circuits, printed micro-optic components, or semiconductor optics. This project within ZEISS Corporate Research and Technology provides insight into a highly dynamic R&D environment with many exciting research fields.

Your Role

  • Screen literature and open-source codebases

  • Select suitable wave-optical propagation algorithms and approaches from in-house or open-source implementations

  • Select relevant use cases and appropriate evaluation metrics

  • Develop Python code for the evaluation and visualization of various tools and algorithms for selected applications

  • Conduct simulations and analyze results

  • Document and present results

Your Profile

  • You are enrolled in a Bachelor’s or Master's program of physics, optics, or mathematics

  • You have basic knowledge of optics

  • You have basic programming skills in python

  • You have excellent organization, problem-solving, communication, and innovation skills

  • You are fluent in English and German

Sounds exciting? Then become part of #teamZEISS and help us shape the future! Please provide your complete application documents (CV, transcript of records, etc.).

Your ZEISS Recruiting Team:

Franziska Gansloser

Skills

Python