* 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
Studiengänge:
* Computer Science
* Artificial Intelligence
* Robotics
* Math, Data Science or comparable degree program
Studienschwerpunkt e:
* 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