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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

  • 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

If you want to deepen your experiences in software development, but are also looking for a working environment where you can bring in your own ideas and solutions, feel warmly invited to apply for this position. Our international team is always looking for new team members. We also offer the opportunity to work in our well-equipped software and visualization laboratories. We would also be happy if you might eventually be excited to carry out your final thesis with us.

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

We look forward to getting to know you!

If you have any questions about this position (Vacancy-ID 5091) please contact:

Prof. Dr. Andreas Gerndt

Tel.: +49 531 295 2782
Apply now

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