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Internship (f/m/x) - Unreal Engine Simulation for Photorealistic Forest and Wildfire Scenarios
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Internship (f/m/x) - Unreal Engine Simulation for Photorealistic Forest and Wildfire Scenarios
8 hours agoTechInternship
On-site
English
Required skills
PythonMachine LearningUnreal EngineComputer VisionC++
Job description
Short Description of Institute/Facility - Please insert text
Job Description
We are looking for a motivated student to support the development of a Unreal Engine based simulation environment for photorealistic forest scenes and wildfire related use cases. The positon is ideal for students interested in computer graphics, simulation, virtual environments and AI. The goal of the project is to create realistic and controllable virtual environments that can be used for wildfire research and synthetic data generation.
Your Mission
Your Qualification
If you have any questions about this position (Vacancy-ID 5091) please contact:
Prof. Dr. Andreas Gerndt
Tel.: +49 531 295 2782
Job Description
We are looking for a motivated student to support the development of a Unreal Engine based simulation environment for photorealistic forest scenes and wildfire related use cases. The positon is ideal for students interested in computer graphics, simulation, virtual environments and AI. The goal of the project is to create realistic and controllable virtual environments that can be used for wildfire research and synthetic data generation.
Your Mission
- Design and implement photorealistic forest environments in Unreal Engine
- Integrate and optimize environmental assets
- Integrate sensors to simulation
- Auto-labelling system for synthetic data
- Configure wildfire-related scenarios
Your Qualification
- You are studying in Computer Science, Mathematics, Data Science, or similar courses
- You own good knowledge in programming, preferably in C++ and Python
- Furthermore, you have interest in Computer Vision and Machine Learning
- You have also basic knowledge of Unreal Engine
- And you are a team player with creativity, independence and personal responsibility
If you have any questions about this position (Vacancy-ID 5091) please contact:
Prof. Dr. Andreas Gerndt
Tel.: +49 531 295 2782
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