Fraunhofer Institute for Cognitive Systems IKS
Master Thesis in Large-Scale Optimization for Supply Chain Logistics(m/w/x)
Full-timeInternshipOn-site
München, Garching bei München
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FRFraunhofer-Gesellschaft
Master Thesis in Multi Agent System Reinforcement Learning(m/w/x)
München, Garching bei München
Full-timeOn-site
AI/ML
Nejo AI Summary
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.
Requirements
- 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
Tasks
- 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
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- Python
- TensorFlow
- Stable-Baselines3
- Linux
- Git
Benefits
Flexible Working
- Flexible working style
Modern Office
- Workplace in new institute building
Informal Culture
- Good atmosphere
- Dynamic team
Diverse Work
- Innovative task areas
Other Benefits
- Practical approach to studies
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Fraunhofer-Gesellschaft and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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FRFraunhofer-Gesellschaft
Master Thesis in Multi Agent System Reinforcement Learning(m/w/x)
München, Garching bei München
Full-timeOn-site
AI/ML
Nejo AI Summary
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.
Requirements
- 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
Tasks
- 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
Education
- Currently in higher education
Languages
- English – Business Fluent
Tools & Technologies
- Python
- TensorFlow
- Stable-Baselines3
- Linux
- Git
Benefits
Flexible Working
- Flexible working style
Modern Office
- Workplace in new institute building
Informal Culture
- Good atmosphere
- Dynamic team
Diverse Work
- Innovative task areas
Other Benefits
- Practical approach to studies
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Fraunhofer-Gesellschaft and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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?
- Fraunhofer Institute for Cognitive Systems IKS
Master Thesis in Large-Scale Optimization for Supply Chain Logistics(m/w/x)
Full-timeInternshipOn-siteMünchen, Garching bei München - BMW Group
Master Thesis Benchmarking Generative AI(m/w/x)
Full-timeInternshipOn-siteMünchen - Huawei Research Center Germany & Austria
Master Thesis Student - Privacy-Enhancing Technologies for Collaborative AI(m/w/x)
Full-timeWorking StudentOn-siteMünchen - Siemens AG
Thesis (Master): Investigating the Impact of Host Networks on TSN Networks(m/w/x)
Full-timeOn-siteNot specifiedGarching bei München - Huawei Research Center Germany & Austria
Master Thesis Student in Privacy-Enhancing Technologies for Collaborative AI(m/w/x)
Full-timeWorking StudentOn-siteMünchen