Masterarbeit Sensor-Ready Gaussian Scene Representations for Simulation in Autonomous Driving

Aufgaben

• What are the limitations of existing Gaussian-based scene representations for sensor simulation, and how can they be extended to become sensor-ready?
• Which semantic and physical attributes must be encoded in Gaussian primitives to enable flexible simulation of different sensor modalities?
• How well can sensor-ready Gaussian representations support re-simulation of sensor data compared to real-world observations?

Anforderungen

Studiengänge:

• Computer Science
• Artificial Intelligence
• Robotics
• Math, Data Science or comparable degree program

Studienschwerpunkte:

• Software development / programming
• Machine learning / deep learning
• Digital image processing
• Statistics / data science

Fachkenntnisse:

• Solid understanding of popular machine learning and deep learning concepts
• Experience with computer vision
• Experience with Gaussian splatting is a bonus

IT-Kenntnisse:

• Confident use of Microsoft Office, Git, and Linux (Ubuntu)
• In-depth knowledge of Python, C, or C++
• Proven experience with popular machine learning frameworks

Sprachkenntnisse:

• English (fluent spoken and written)
• German is an advantage

Soft Skills:

• High level of initiative
• Strong analytical skills
• Structured and independent way of working
• Ability to work in a team
• Goal-oriented

Wir begrüßen ausdrücklich die Bewerbung von Menschen mit Behinderung, deren Integration uns ein besonderes Anliegen ist.

Fähigkeiten

• Es ist kein Abschluss erforderlich
• Du beherrscht Englisch

Was wir bieten

Vertrag: praktikums, ausbildungsplätze, trainee