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Master Thesis in Multi Agent System Reinforcement Learning(m/w/x)
Researching MARL for aerial ad hoc networks, focusing on scalability and reliability. Python ML stack and strong RL background required. Workplace at new institute building, participation in dynamic team.
Requirements
- Python ML stack experience (TensorFlow, Stable-Baselines3)
- Strong Reinforcement Learning background
- Familiarity with Multi Agent Systems or Game Theory
- Linux OS and git familiarity
- Enrollment in German university (Munich area preferred)
- Student of M.Sc. Computer science, Robotics, Cognition, Intelligence, Data Engineering etc.
Tasks
- Contribute to leading-edge research in Multi Agent Reinforcement Learning (MARL)
- Build upon prior work in MARL for aerial ad hoc networks
- Advance solutions by integrating state-of-the-art MARL methods
- Focus on scalability and reliability of MARL solutions
- Write a master’s thesis under supervision
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- Python
- TensorFlow
- Stable-Baselines3
- Linux OS
- git
Benefits
Modern Office
- Workplace at new institute building
Informal Culture
- Good atmosphere
Startup Environment
- Participation in dynamic team
Diverse Work
- Innovative task areas
Other Benefits
- Practical approach to studies
- Diversity promotion
- Solutions for disabled persons
Purpose-Driven Work
- Preference for severely disabled persons
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Master Thesis in Multi Agent System Reinforcement Learning(m/w/x)
Researching MARL for aerial ad hoc networks, focusing on scalability and reliability. Python ML stack and strong RL background required. Workplace at new institute building, participation in dynamic team.
Requirements
- Python ML stack experience (TensorFlow, Stable-Baselines3)
- Strong Reinforcement Learning background
- Familiarity with Multi Agent Systems or Game Theory
- Linux OS and git familiarity
- Enrollment in German university (Munich area preferred)
- Student of M.Sc. Computer science, Robotics, Cognition, Intelligence, Data Engineering etc.
Tasks
- Contribute to leading-edge research in Multi Agent Reinforcement Learning (MARL)
- Build upon prior work in MARL for aerial ad hoc networks
- Advance solutions by integrating state-of-the-art MARL methods
- Focus on scalability and reliability of MARL solutions
- Write a master’s thesis under supervision
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- Python
- TensorFlow
- Stable-Baselines3
- Linux OS
- git
Benefits
Modern Office
- Workplace at new institute building
Informal Culture
- Good atmosphere
Startup Environment
- Participation in dynamic team
Diverse Work
- Innovative task areas
Other Benefits
- Practical approach to studies
- Diversity promotion
- Solutions for disabled persons
Purpose-Driven Work
- Preference for severely disabled persons
Like this job?
BetaYour Career Agent finds similar jobs for you every day.
About the Company
Fraunhofer-Gesellschaft
Industry
Research
Description
Das Unternehmen ist eine der führenden Organisationen für anwendungsorientierte Forschung mit 76 Instituten in Deutschland.
Not a perfect match?
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