NC-ALL-BAM-01-2021

MASTER THESIS (M/F/D) - REINFORCEMENT LEARNING FOR ROBOTIC ARM OBJECT INSERTION

26.01.2021, Studentische Hilfskräfte, Praktikantenstellen, Studienarbeiten

fortiss is the research institute of the Free State of Bavaria for the development of software-intensive systems with headquarters in Munich. The scientists at the institute cooperate in research, development and transfer projects with universities and technology companies in Bavaria, Germany and Europe. The focus is on research into state-of-the-art methods, techniques and tools for the development of software- and AI-based technologies for dependable, secure cyber-physical systems such as the Internet of Things (IoT). fortiss is organized in the legal form of a non-profit limited liability company. Shareholders are the Free State of Bavaria (majority shareholder) and the Fraunhofer-Gesellschaft zur Förderung der angewandten Forschung e.V. www.fortiss.org

In the Neuromorphic Computing department, we search for a new team member:

Master Thesis (m/f/d) – Reinforcement learning for robotic arm object insertion

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Your tasks:

• Train and test reinforcement algorithms for object insertion in simulation
• Port the solution from simulation to real robotic arm
• Integration of the inference process on a neuromorphic chip
• Participate in the elaboration of a demonstrator
• Evaluate the performance of the demonstrator

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Your profile:

• Excellent bachelor degree in informatics, mechanical or electrical engineering, mathematics, or physics
• Excellent track record in your current master
• Experience in machine learning in Python, the deep learning packages (Tensorflow, Pytorch) and deployment tools (Linux, GCP)
• Ideally some background in reinforcement learning and its application to robotics
• Preferably some background in physics simulation or game development

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Our offer

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

Did we catch your interest?

Please submit your application with a motivational statement, a detailed CV and a current transcript of records.

Job-ID: NC-ALL-BAM-01-2021

Contact: Antoine Detailleur

Kontakt: Antoine Detailleur

More Information

https://recruitment.fortiss.org/