City:  Nürnberg
Date:  May 19, 2023

Research Assistant - Deep Reinforcement Learning

The Fraunhofer-Gesellschaft ( 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. 

You are excited by reinforcement learning? You want to drive technological innovation with a team of dedicated researchers? 


Then take a look at our job offer!


In our group »Self-Learning Systems« at Fraunhofer IIS we combine expertise in various advanced machine learning topics. One of our research goals is to provide robust and safe algorithmic solutions for control and decision-making tasks for systems in complex dynamic environments. To this end, we employ deep learning in combination with reinforcement-learning techniques. We explore reinforcement learning for process engineering and radio network control as well as variational quantum circuits and other topics from the industry.


What you will do

•    Developing AI for e.g., quantum computing, process engineering, or MIMO-beamforming
•    Investigating strategies for safe, inverse and/or offline reinforcement learning and combinations thereof
•    Participating in cooperation projects with industry and research institutions
•    Managing project assignments and/or supervising students
•    Disseminating research results in scientific publications, lectures and by attending 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.



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 

Requisition Number: 54062                


Job Segment: Research Assistant, Computer Science, Physics, Part Time, Research, Technology, Science