Hybrid Student computer science (f/m/x) - Real-time Visualization of Clouds in CosmoScout VR (Braunschweig) bei Deutsches Zentrum für Luft- und Raumfahrt
Deutsches Zentrum für Luft- und Raumfahrt · Braunschweig, Deutschland · Hybrid
- Optionales Büro in Braunschweig
The DLR Institute of Software Technology sees software as a catalyst for research and innovation. The institute's staff, currently numbering around 200, make a significant contribution to advancements in the fields of aviation, space, energy, transportation, and security through the development of state-of-the-art software solutions and innovative research.
Our areas of competence include reliable and safety-critical software systems, artificial intelligence, high-performance computing and quantum computing, human-system interaction and visualisation, software and systems engineering as well as digital platforms and digital twins.
What to expect
The Visual Computing and Engineering department develops interactive visualization and modeling methods to collaboratively make digital twins and complex technical systems experientially accessible – from the early design phase to the analysis of large scientific datasets in immersive 3D environments.
The department develops a real-time solar system visualization called CosmoScout VR. The application is used for visualizing scientific data in the solar system for either retrospective data analysis or for mission planning. CosmoScout VR has a plugin for visualizing procedural clouds. While they look good and perform well on a local scale, global views are computationally very demanding and are displaying artifacts. Also, the procedurally generated clouds do currently not represent real weather data. The goal of this thesis is to enhance the performance of the cloud generation and / or (depending on thesis type) integrate real world weather data.
Your tasks
- analysis of the existing cloud visualisation in CosmoScout VR to identify the current performance bottlenecks and artefacts in global views
- investigation and implementation of optimisation strategies to improve the performance of procedural cloud generation, especially for global views
- integration of real weather data into the cloud plugin to increase the scientific accuracy and realism of cloud rendering
- development and application of algorithms to reduce artefacts in the cloud visualisations at different viewing levels
- performance testing and validation of the improved cloud generation
Your profile
- university studies in computer sciences or similar
- experience in computer graphics with frameworks lile OpenGL, Vulkan, Direct3D, WebGPU or similar
- good experience with typed programming languages, like C++, C# or Rust
We look forward to getting to know you!
If you have any questions about this position (Vacancy-ID 2634) please contact:
Andreas Gerndt
Tel.: +49 531 295 2782
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