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Master Thesis in Multi Agent System Reinforcement Learning(m/w/x)
Developing MARL solutions for aerial ad hoc networks in application-oriented research. Python ML stack experience with TensorFlow/Stable-Baselines3 essential, German university enrollment required. Workplace in new institute building, flexible working style.
Anforderungen
- Experience with Python ML stack (TensorFlow, Stable-Baselines3)
- Strong background in Reinforcement Learning
- Familiarity with Multi Agent Systems and/or Game Theory
- Familiarity with Linux OS and Git
- Enrollment in a German university (preferably in Munich or surrounding area)
- M.Sc. student in Computer Science, Robotics, Cognition, Intelligence, Data Engineering
Aufgaben
- Write your master's thesis
- Contribute to leading-edge research
- Advance Multi-Agent Reinforcement Learning (MARL) solutions
- Integrate state-of-the-art MARL methods
- Apply MARL to aerial ad hoc networks
- Ensure scalability and reliability in MARL solutions
Ausbildung
- Laufendes Studium
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- TensorFlow
- Stable-Baselines3
- Linux
- Git
Benefits
Flexibles Arbeiten
- Flexible working style
Modernes Büro
- Workplace in new institute building
Lockere Unternehmenskultur
- Good atmosphere
- Dynamic team
Abwechslungsreiche Aufgaben
- Innovative task areas
Sonstige Vorteile
- Practical approach to studies
Noch nicht perfekt?
- Fraunhofer Institute for Cognitive Systems IKSVollzeitPraktikumnur vor OrtMünchen, Garching bei München
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Master Thesis Benchmarking Generative AI(m/w/x)
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Master Thesis in Multi Agent System Reinforcement Learning(m/w/x)
Developing MARL solutions for aerial ad hoc networks in application-oriented research. Python ML stack experience with TensorFlow/Stable-Baselines3 essential, German university enrollment required. Workplace in new institute building, flexible working style.
Anforderungen
- Experience with Python ML stack (TensorFlow, Stable-Baselines3)
- Strong background in Reinforcement Learning
- Familiarity with Multi Agent Systems and/or Game Theory
- Familiarity with Linux OS and Git
- Enrollment in a German university (preferably in Munich or surrounding area)
- M.Sc. student in Computer Science, Robotics, Cognition, Intelligence, Data Engineering
Aufgaben
- Write your master's thesis
- Contribute to leading-edge research
- Advance Multi-Agent Reinforcement Learning (MARL) solutions
- Integrate state-of-the-art MARL methods
- Apply MARL to aerial ad hoc networks
- Ensure scalability and reliability in MARL solutions
Ausbildung
- Laufendes Studium
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- TensorFlow
- Stable-Baselines3
- Linux
- Git
Benefits
Flexibles Arbeiten
- Flexible working style
Modernes Büro
- Workplace in new institute building
Lockere Unternehmenskultur
- Good atmosphere
- Dynamic team
Abwechslungsreiche Aufgaben
- Innovative task areas
Sonstige Vorteile
- Practical approach to studies
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?
- Fraunhofer Institute for Cognitive Systems IKS
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VollzeitPraktikumnur vor OrtMünchen, Garching bei München - BMW Group
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VollzeitPraktikumnur vor OrtMünchen - Huawei Research Center Germany & Austria
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VollzeitWerkstudentnur vor OrtMünchen - Siemens AG
Thesis (Master): Investigating the Impact of Host Networks on TSN Networks(m/w/x)
Vollzeitnur vor OrtKeine AngabeGarching bei München - Huawei Research Center Germany & Austria
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