Wissenschaftliche:r Mitarbeiter:in (m/w/d), EG 14 TV-H
Core
Develop machine learning and deep learning methods for analyzing cyclist behavior using vehicle sensor data (cameras, LiDAR) and conducting research on intelligent embedded systems.
Role type
Senior research scientist (PhD level)
Builds
Production ML models for autonomous driving perception and research prototypes
Domain
Automotive (Autonomous Driving) + Computer Vision + Machine Learning
Deliverable
production ML models
Required skills
Deep Learning, Computer Vision, Machine Learning, Data Analysis, Python, Cross-labeling techniques, Model fusion, Experimental design
Preferred skills
Grant acquisition, Team leadership, Supervising PhD students, Project management
Technologies
PyTorch, TensorFlow, Scikit-learn, Pandas, OpenCV, NumPy, SLURM, LiDAR, Radar, Cameras
Responsibilities
Develop ML procedures for capturing cyclist behavior, implement cross-labeling approaches for data annotation, merge information from multi-modal models, plan and execute lab and field experiments, conduct research within the DyNaMo project, lead a small research team
Seniority
Senior, hands-on IC with leadership responsibilities