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Student Assistant Digital Predistortion Using
vor 4 Wochen
**Future. Discover. Together.**
Rapidly increasing data traffic worldwide requires ever higher data rates and lower latencies in all areas of telecommunications. However, the transmission side of wide-area networks in particular is increasingly limiting the achievable bandwidths. Therefore, with the goal of improving signal integrity, we are investigating concepts for digital predistortion for the generation of analog signals with bandwidths beyond 100 GHz. For this purpose, neural networks and machine learning methods will be used. Be a part of our team and come on a journey of research and innovation
**What you will do**
- Implementation of neural networks for digital signal processing using Matlab and PyTorch
- Generation of training data and training of the networks
- Simulative and experimental evaluation of the results and comparison with conventional processing methods
**What you bring to the table**
- Full-time student at a German university, preferably in the field of electrical or computer engineering
- Profound knowledge in the field of digital signal processing
- Theoretical and practical knowledge regarding the composition and handling of neural networks using PyTorch
- Extensive experience with Python, Matlab and other programming languages
- Good communication skills (German and English)
- Proactive and self-reliant working style
**What you can expect**
- Fascinating challenges in a scientific and entrepreneurial setting
- Attractive salary
- Modern and excellently equipped workspace in central location
- Great and cooperative working atmosphere in an international team
- Opportunities to write a master's or bachelor´s thesis
- Flexible working hours
- Opportunities to work from home
The position is initially limited to 6 months. An extension is explicitly desired.
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.
Jonathan Schostak and Volker Jungnickel
Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute HHI
Requisition Number: 66419 Application Deadline:
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