Dein persönlicher KI-Karriere-Agent
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.
Anforderungen
- 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.
Aufgaben
- 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
Ausbildung
- Laufendes Studium
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- TensorFlow
- Stable-Baselines3
- Linux OS
- git
Benefits
Modernes Büro
- Workplace at new institute building
Lockere Unternehmenskultur
- Good atmosphere
Startup-Atmosphäre
- Participation in dynamic team
Abwechslungsreiche Aufgaben
- Innovative task areas
Sonstige Vorteile
- Practical approach to studies
- Diversity promotion
- Solutions for disabled persons
Sinnstiftende Arbeit
- 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.
Anforderungen
- 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.
Aufgaben
- 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
Ausbildung
- Laufendes Studium
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- TensorFlow
- Stable-Baselines3
- Linux OS
- git
Benefits
Modernes Büro
- Workplace at new institute building
Lockere Unternehmenskultur
- Good atmosphere
Startup-Atmosphäre
- Participation in dynamic team
Abwechslungsreiche Aufgaben
- Innovative task areas
Sonstige Vorteile
- Practical approach to studies
- Diversity promotion
- Solutions for disabled persons
Sinnstiftende Arbeit
- Preference for severely disabled persons
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
Über das Unternehmen
Fraunhofer-Gesellschaft
Branche
Research
Beschreibung
Das Unternehmen ist eine der führenden Organisationen für anwendungsorientierte Forschung mit 76 Instituten in Deutschland.
Noch nicht perfekt?
- Huawei Research Center Germany & Austria
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Master Thesis Student in Privacy-Enhancing Technologies for Collaborative AI(m/w/x)
VollzeitWerkstudentnur vor OrtMünchen