Tasks
Research tasks:
Analysis of existing camera-radar fusion architectures with regard to extensibility for different radar configurations
Investigation of methods for normalizing and integrating point cloud data from different radar generations
Development of a model and a training strategy for generalization across different radar systems
Benchmarking the developed approach on open-source datasets and synthetic data from CARLA
Requirements
Degree programs:
Computer Science
Artificial Intelligence
Robotics
Automotive Engineering
Data Science or comparable degree program
Areas of study:
Software development and programming
Machine learning and deep learning
Computer vision
Signal processing
Expert knowledge:
Experience in machine learning and deep learning
Understanding of sensor data fusion
Fundamentals of radar and camera sensor technology
Fundamentals of 3D data processing
IT skills:
Proficiency in MS Office
Sound knowledge of Python, C, or C++
Experience with Git, Gitlab, and Linux (Ubuntu)
Experience with machine Learning and AI frameworks (PyTorch, TensorFlow)
Language skills:
English (fluent in spoken and written form)
German is an advantage
Soft skills:
High level of initiative
Strong analytical skills
Structured and independent working style
Teamwork skills
Goal orientation
For more detail, salary and company information, use the apply link