Research Assistant - Deep Reinforcement Learning for Radio Communication and Positioning

Fraunhofer-Gesellschaft, Germany

Updated: 8 months ago
Deadline: The position may have been removed or expired!

In our »Self-Learning Systems« group at Fraunhofer IIS, we combine expertise in various advanced machine learning topics to develop robust and safe algorithmic solutions for control and decision-making tasks in complex, dynamic environments. Our research goals include exploring the use of reinforcement learning for process engineering, radio network control, and variational quantum circuits, among other topics relevant to industry.

Are you passionate about radio technology and reinforcement learning? Do you want to be part of a team of dedicated researchers driving technological innovation? If so, we encourage you to review our job offer!

What you will do

•    Develop AI for radio communication and/or MIMO-beamforming.
•    Work with simulation and hardware prototypes of 5G/6G mobile radio networks.
•    Investigate strategies for inverse and/or offline reinforcement learning, and combinations thereof.
•    Participate in cooperative projects with industry and research institutions.
•    Manage project assignments and/or supervise students.
•    Disseminate research results through scientific publications, lectures, and outreach activities aimed at the general public (e.g., events, trade fairs, etc.).

What you bring to the table

•    A scientific degree in computer science, physics, math, or similar. A doctorate is a plus.
•    Experience in machine learning and deep neural networks
•    Knowledge in reinforcement learning (esp. model-free methods and policy gradients)
•    Programming experience in python
•    Fluent English in word and text

What you can expect

Fraunhofer is not only the largest application-oriented research organization in Europe but we are also a top-rated employer! But why ?
•    Top infrastructure at your work place: With our state-of-the-art technologies, we develop solutions to meet the challenges of present and future.
•    We value personal contact: Through our structured onboarding process, you easily become familiar with our institute and are able to extend your network successfully.
•     We take your needs seriously: Thanks to flexible hours and hybrid work models, we help you to achieve the best possible work-life balance.
•    We care about your goals and interests: We offer regular professional and personal seminars, coaching sessions and language courses, giving you every opportunity to expand your expertise.

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.

The position is initially limited to 2 years with the aim of extending it subsequently. The total weekly working time is 39 hours. This position is also available on a part-time basis. Employment, compensation and benefits are based on the Collective Agreement for public service (TVöD). Additionally Fraunhofer may grant performance- and success-dependent variable compensation.

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.

Interested?

Join our team and work with us on the technology of tomorrow! We look forward to receiving your complete online application (cover letter, CV, transcripts).

Fraunhofer Institute for Integrated Circuits IIS 

www.iis.fraunhofer.de  

Requisition Number: 65726                


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