Open Research Associate and PhD Positions

PhD Position for Safe Motion Planning of Autonomous Vehicles

The focus of this position is on developing new methods for efficient and safe motion planning of automated vehicles. A special focus will be on developing planning algorithms that reliably find valid solutions in dangerous and unexpected situations. By combining motion planning techniques with reachability analysis, the solution space will be reduced so that valid plans can be found more reliably under strong real time constraints. To test the efficiency of the tested algorithms, the candidate should further develop our online available database of test scenarios: Towards the end of the project, the candidate should demonstrate the developed methods on an automated vehicle.

More details and application guidelines are available here

Ph.D. Position on Efficient Neuromorphic Signal Processing for Autonomous Driving

Neuromorphic processors that are optimized for the simulation of spiking neural networks bear huge potential for future highly energy-efficient real-time AI applications. So far, computational models for neuromorphic computing are still in their infancy and have not got beyond simple research prototypes. The goal of this project is to develop the first comprehensive spiking signal processing system for sensor data processing in autonomous vehicles that can be executed on state-of-the-art neuromorphic processors.

More details and application guidelines are available here.

Softwareentwickler(in) und Startup Mitgründer(in) für modulare Roboter

We are a small team in the process of founding a robotics company and applying for an EXIST-scholarship. To complete our team, we are looking for a talented software developer or electrical and computer engineer and co-founder. In case of a successful funding, we will offer a full-time position starting mid-2019. The main idea of our company is to enable customers to easily create different robots from a small set of modules instead of buying a new robot each time a task has changed. After assembly, the robot is ready to run instantly by calculating its dynamic properties automatically. More information can be found here.

Ph.D. improved SOC/SOH estimation and smart operation for Li-Ion Battery Systems

In collaboration with our chair, Siemens is looking for a Ph.D. student in the area of battery management systems for electric ferry boats. Details can be found in the pdf-Link. The research would be carried out in Erlangen and Trondheim.