Tasks
Research tasks:
Analysis of existing camera-radar fusion architectures with regard to extensibility for different radar configurationsInvestigation of methods for normalizing and integrating point cloud data from different radar generationsDevelopment of a model and a training strategy for generalization across different radar systemsBenchmarking the developed approach on open-source datasets and synthetic data from CARLA
Requirements
Degree programs:
Computer ScienceArtificial IntelligenceRoboticsAutomotive EngineeringData Science or comparable degree program
Areas of study:
Software development and programmingMachine learning and deep learningComputer visionSignal processing
Expert knowledge:
Experience in machine learning and deep learningUnderstanding of sensor data fusionFundamentals of radar and camera sensor technologyFundamentals of 3D data processing
IT skills:
Proficiency in MS OfficeSound 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 initiativeStrong analytical skillsStructured and independent working styleTeamwork skillsGoal orientationFor more detail, salary and company information, use the apply link
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