INTERNSHIP DETAILS

Master Thesis in Multi Agent System Reinforcement Learning

CompanyFraunhofer-Gesellschaft
LocationGarching bei München
Work ModeOn Site
PostedMay 1, 2026
Internship Information
Core Responsibilities
The student will contribute to leading-edge research by writing a master's thesis focused on Multi Agent Reinforcement Learning. The project aims to advance solutions for aerial ad hoc networks with a focus on scalability and reliability.
Internship Type
full time
Company Size
285
Visa Sponsorship
No
Language
English
Working Hours
40 hours
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About The Company
Fraunhofer IGD is the international leading institute for applied research in visual computing. Visual computing is image- and model-based information technology and includes computer graphics and computer vision, as well as virtual and augmented reality. In simple terms, the Fraunhofer researchers in Darmstadt, Rostock, and Kiel are turning information into images and extracting information from images. In cooperation with its partners, technical solutions and market-relevant products are created. Prototypes and integrated solutions are developed in accordance with customized requirements. In doing so, Fraunhofer IGD places users at the forefront, providing them with technical solutions to facilitate computer work and make it more efficient. Owing to its numerous innovations, Fraunhofer IGD raises man-machine interaction to a new level. Man is able to work in a more result-oriented and effective way by means of the computer and visual computing developments.
About the Role

Safe Intelligence — this forms the core brand of the Fraunhofer Institute for Cognitive Systems IKS. Connected cognitive systems drive innovation in many sectors, including mobility, healthcare, and automation in industry. Disruptive technologies such as artificial intelligence and quantum computing play a key role here. Fraunhofer IKS is conducting research to ensure that these applications are reliable and verifiably safe. We consider resilience and intelligence to be part of the same process.

 

Be part of change

We invite motivated master’s students to contribute to our leading-edge research by writing their thesis under our supervision. This project builds upon our prior work in Multi Agent Reinforcement Learning (MARL) for real-world use-case of aerial ad hoc networks (see our paper) and aims to advance the solution by integrating state-of-the-art MARL methods, with a strong emphasis on scalability and reliability. 

 

What you contribute

  • Experience with Python ML stack, e.g. TensorFlow, Stable-Baselines3
  • Strong background in Reinforcement Learning
  • Familiarity with Multi Agent Systems and / or Game Theory
  • Familiarity with working with Linux OS and git
  • Enrollment in a German university, preferably in Munich or surrounding area
  • Especially suitable for students of M.Sc. Computer science, M.Sc. Robotics, Cognition, Intelligence, M.Sc. Data Engineering etc.

 

What we offer

  • Nice supervisors, a good atmosphere
  • Flexible working style including a workplace at our new institute building in Garching
  • Participation in a dynamic team with innovative task areas
  • Practical approach to your studies.

 

We value and promote the diversity of our employees' skills and therefore welcome all applications – regardless of age, gender, nationality, ethnic and social origin, religion, ideology, disability, sexual orientation and identity. Severely disabled persons are given preference in the event of equal suitability. Our tasks are diverse and adaptable – for applicants with disabilities, we work together to find solutions that best promote their abilities. 

With its focus on developing key technologies that are vital for the future and enabling the commercial utilization of this work by business and industry, Fraunhofer plays a central role in the innovation process. As a pioneer and catalyst for groundbreaking developments and scientific excellence, Fraunhofer helps shape society now and in the future. 

Ready for a change? Then apply with your motivation letter, CV and your current transcript now and make a difference! Once we have received your online application, you will receive an automatic confirmation of receipt. We will then get back to you as soon as possible and let you know what happens next.

 

Additional questions will be answered gladly by
PD Dr. habil. Jeanette Miriam Lorenz, tel.: +49 89 547088-334
If you have further questions, please contact our colleagues from HR via eMail: recruiting@iks.fraunhofer.de

Fraunhofer Institute for Cognitive Systems IKS 

www.iks.fraunhofer.de 

 

Requisition Number: 83621                Application Deadline:

 

Key Skills
PythonTensorFlowStable-Baselines3Reinforcement LearningMulti Agent SystemsGame TheoryLinuxGitMachine Learning
Categories
TechnologyScience & ResearchSoftwareData & AnalyticsEngineering
Benefits
Flexible working styleDynamic team environmentPractical research experience