Job Type:
Part-time
Job Description:
As a research institution based in Berlin, the Fraunhofer Heinrich Hertz Institute creates innovations for the digital society of the future and is a global leader in the field of optical data transmission. We offer the coveted combination of a highly scientific environment and insight into industry-related work. Rapidly increasing data traffic worldwide requires ever higher data rates and lower latencies in all areas of telecommunications. The transmission side of wide-area networks in particular limits the achievable data rates increasingly. With the goal of improved signal integrity, we are therefore researching concepts of digital pre-distortion for the generation of analog signals with bandwidth beyond 100 GHz, also utilizing neural networks and methods of machine learning. Be a part of our team and come on a journey of research and innovation!
Responsibilities:
• Implementation of algorithms for digital signal processing using Matlab and Python.
• Integration of the algorithms into an existing simulation framework.
• Simulative and experimental evaluation of the results and comparison with conventional processing methods.
• Optional: Additional tasks in the simulation and measurement of data transmission systems.
Requirements:
• Full-time student at a university in Berlin, preferably in the field of electrical or computer engineering, mathematics, physics.
• Profound knowledge in the field of digital signal processing.
• Theoretical and practical knowledge regarding message transmission systems.
• Extensive experience with Python, Matlab and other programming languages.
• Good communication skills (German and English).
• Proactive and self-reliant working style.
Salary Range:
TVöD
Benefits:
• Fascinating challenges in a scientific and entrepreneurial setting.
• Attractive salary.
• Modern and excellently equipped workspace in central location.
• Scope margin for the tasks to be implemented.
• Great and cooperative working atmosphere in an international team.
• Opportunities to write a master’s or bachelor´s thesis.
• Flexible working hours.