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The Fraunhofer-Gesellschaft (www.fraunhofer.com) currently operates 76 institutes and research institutions throughout Germany and is the world’s leading applied research organization. Around 30 000 employees work with an annual research budget of 2.9 billion euros. 

Fraunhofer IIS has a strong background in the development of broadband and narrowband communication technology and the application of machine learning techniques for various use cases. Our group »Intelligent Signal Processing for Wireless Communication Systems« is currently investigating machine-learning methods for optimization of physical layer signal processing functionalities and resource allocation problems.

With the introduction and standardization of various hybrid terrestrial and non-terrestrial networks, a need for resource management to enable the coexistence of multiple radio access technologies and services has emerged. The deployment density and presence of mobile nodes in these systems present some unique challenges. One of the key factors influencing resource allocation is spectral occupancy, which can be determined via sensing and shared database approaches. The decision loop would then be required to optimize the shared spectrum usage and energy efficiency while complying with quality of service and regulatory requirements. Your research will focus on the application of machine learning techniques to different spectrum sharing scenarios defined in our custom simulation environment, with possible extension to testbeds.

What you will do

  • Become acquainted with state-of-the-art spectrum sharing methods and licensing schemes
  • Formulate resource allocation problems for concrete scenarios with mathematical objectives and constraints
  • Identify relevant deep and reinforcement learning frameworks
  • Analyze the performance of proposed solutions using a custom simulation environment
  • Propose methods that enable the extension of algorithms to emulation platforms and testbeds
  • Publish your analysis and research work

What you bring to the table

  • A scientific university degree, preferably in machine learning and data engineering / electrical engineering
  • Good knowledge of machine learning techniques used in communication system design and digital/statistical signal processing
  • Research experience in spectrum sensing or resource allocation in wireless networks
  • Experience with MATLAB and Python
  • Knowledge of C/C++ or another object-oriented programming language
  • Basic understanding of git and version control
  • High proficiency using MS Office and LaTeX

What you can expect

Fraunhofer is not only the largest organization for applied research (application-oriented research organisation) in Europe, but also a top-rated employer. But why? 

  • Our institute culture: We want our colleagues to feel comfortable. Therefore, we constantly strive to ensure a friendly and supportive working atmosphere within our international team.
  • Exciting activities: With customers and partners across the globe, we provide an attractive working environment in a highly innovative key industry with exciting ventures and new experiences.
  • Room for creativity: We want to give our colleagues a generous amount of creative freedom so that they can contribute and develop their own ideas.
  • Personal development: With top-of-the-range company equipment and regular training, we aim to provide the best possible working conditions and development opportunities for our colleagues.
  • Flexible working hours: Due to our wide range of offers, we make it easy for our colleagues to find a comfortable balance between their private and professional lives.

More information about our employer offers on our website: https://www.iis.fraunhofer.de/en/jobs/arbeiten.html

The position is initially limited to 2 years with the aim to extend it subsequently. The weekly working time is 39 hours. The position can also be filled on a part-time basis with a preference, however, to have it filled as close to a full-time position as possible. 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. Appointment, remuneration and social security benefits based on the public-sector collective wage agreement (TVöD).

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. 

Would you like to work with us?

We are looking forward to receiving your full application (cover letter, CV and grade sheets).

Fraunhofer Institute for Integrated Circuits IIS 
www.iis.fraunhofer.de