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