INTERNSHIP/MASTER'S THESIS: RADAR-BASED PERCEPTION FOR AUTONOMOUS DRIVING WITH DEEP LEARNING (F/M/D)

Are you passionate about deep learning and autonomous driving and eager to contribute to a revolutionary technology? As an intern or master's thesis student with a focus on perception in the E-LAB (www.the-e-lab.de), you will have the opportunity to actively contribute to the development of intelligent vehicles. Working closely with our team, you will support innovative neural network approaches for environmental perception in autonomous driving and help shape the mobility of tomorrow. The position is available immediately and has a minimum duration of six months. Literature Research: You conduct comprehensive literature research on perception methods using RADAR, LiDAR and cameras. Framework Implementation: You implement and compare different open-source frameworks for the perception of automated driving. Neural Networks: You train neural networks and analyze the results. Documentation: You document your work throughout the implementation phase and present your results after the internship or master's thesis.