MASTER THESIS - EVENT-BASED NEUROMORPHIC FOR AR AND SPACE (M/W/D)

fortiss is the research institute of the Free State of Bavaria for software-intensive systems and services with headquarters in Munich. The institute currently employs around 120 employees, who collaborate on research, development and transfer projects with universities and technology companies in Bavaria, Germany and Europe. Research is focused on state of the art methods, techniques and tools of software development, systems & service engineering and their application to reliable, secure cyber-physical systems, such as the Internet of Things (IoT). fortiss has the legal structure of a non-profit limited liability company (GmbH). Its shareholders are the Free State of Bavaria (as majority shareholder) and the Fraunhofer Society for the Promotion of Applied Research.

www.fortiss.org

In the Neuromorphic Computing department, we are searching for
Master Students (M/F/D)

You will be integrated in a small team of neuromorphic computing researchers at fortiss. You will be working on one of our neuromorphic algorithms, related with ongoing projects EMMANÜELA and CORINNE, as well as an upcoming ESA project about satellite communication:

• a body motion recognition sensor with an event-based camera and online few-shots learning on neuromorphic hardware mounted on 3D AR-goggles
• third person action recognition, ego gesture recognition, tennis dataset, ego motion compensation
• continual learning SNN based algorithms for action classification on the fly and automatic labeling for robotic arm control (welding application)
• improvement of class separation in continual learning algorithm, integration with robotic arm
• fault detection, isolation and recovery on neuromorphic hardware for satellite communications
• spiking fault detection neural network, fault prediction, fault classification, hardware implementation on neuromorphic chip
• efficient time encoding on neuromorphic hardware
• spike encoding optimization, trainable encodings, latency reduction
• efficient Lidar neuromorphic processing for automated driving

A publication, in a scientific journal or conference, as a co-author of your supervisor, is most likely expected at the end of your mission.

• Excellent bachelor degree in electronics engineering, computer science or similar topic
• Excellent track record in your current masters
• Fluency in software development (Python for example)
• Interest or experience in machine vision, event-based cameras, sensors
• Residency in Munich or close surroundings

• Work in partnership with leading companies in AI
• Offices in central Munich (Nordfriedhof) in very high and modern premises with 360° view on Munich
• Nice working atmosphere in a small team