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.
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
Wir freuen uns darauf, dich kennenzulernen!
Fragen zu dieser Position (Kennziffer 5091) beantwortet dir gerne:
Prof. Dr. Andreas Gerndt
Tel.: +49 531 295 2782