IDP - NEUROMORPHIC VISION SENSOR FOR OBJECT IDENTIFICATION (M/F/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). www.fortiss.org

In the Neuromorphic Computing department, we propose an
IDP in neuromorphic vision + embedded systems

__________
Your topic:


You will be integrated in a team of neuromorphic computing researchers at fortiss, to work on an object identification sensor with an event camera. It will be mounted on a drone and the famous Boston Dynamics robotic dog. This work, which bases on a previous project in simulation, is with a very large industrial partner. You will learn event-based vision and implement a real time sensor on an asset monitoring use case. You will create a hardware demonstrator open to the public and your work will combine computer vision with hands on robotic integration.

__________
Your profile:
  • Excellent bachelor degree in computer science, electronics, machine vision or software engineering and excellent track record in your current masters
  • Good experience in software development (Python)
  • Interest or experience in machine vision, sensors or embedded systems
__________
Our offer:
  • Work in partnership with a world leading companies in computer technology
  • Central Munich, high and modern premises with 360° view on Munich and the Alps
  • Access to cutting edge robotics and neuromorphic hardware
  • Nice working atmosphere
__________
Did we catch your interest?

 
Please submit your application with a cover letter, a detailed CV and a current transcript of records.

Job-ID: NC_MS_01_2022
Start date: from January 2023
Contact: Jules Lecomte