Masterbeit Uncertainty-Aware Sensor Fusion Using Bayesian Neural Networks
Masterbeit Uncertainty-Aware Sensor Fusion Using Bayesian Neural Networks
Masterbeit Uncertainty-Aware Sensor Fusion Using Bayesian Neural Networks
Masterbeit Uncertainty-Aware Sensor Fusion Using Bayesian Neural Networks
Dr. Ing. h.c. F. Porsche AG
Automobile und Zweiräder
Weissach
- Art der Beschäftigung: Vollzeit
- Vor Ort
Masterbeit Uncertainty-Aware Sensor Fusion Using Bayesian Neural Networks
Über diesen Job
Aufgaben Aufgaben
- Identify and understand relevant literature on Bayesian neural networks and sensor fusion.
- Integrate a Bayesian neural network component into an existing sensor fusion model.
- Run a benchmark with different sensor configurations to assess whether configuration uncertainty can be captured by the Bayesian component
Anforderungen 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 statistical models
- Experience with 3D data processing and sensor data fusion 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