Huawei Research Center Germany & Austria
Master Thesis Student - Channel Coding for Fiber Optical Communication(m/w/x)
Full-timeWorking StudentOn-site
München
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HUHuawei
Master Thesis Student in Channel Coding for Fiber Optical Communication(m/w/x)
München
Full-timeInternshipOn-site
Nejo AI Summary
At an ICT solutions provider, building Python/C++ simulation tools for channel coding in fiber optical communication. Profound knowledge of channel coding and communication theory, C++/Python proficiency essential. Healthy meals in canteen, German/Mandarin language courses.
Requirements
- Strong foundation in Electrical Engineering, Computer Science, or related field
- Profound knowledge of channel coding and communication theory
- Proficiency in C++ and/or Python
Tasks
- Build simulation tools in Python or C/C++
- Design new forward error correction (FEC) codes
- Develop decoding algorithms from scratch
- Run simulations to identify optimal solutions
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- C++
- Python
Benefits
Free or Subsidized Food
- Healthy meals in canteen
Learning & Development
- Broad range of training opportunities
- Online and face-to-face training programs
- Language courses in German and Mandarin
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Huawei and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
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HUHuawei
Master Thesis Student in Channel Coding for Fiber Optical Communication(m/w/x)
München
Full-timeInternshipOn-site
Nejo AI Summary
At an ICT solutions provider, building Python/C++ simulation tools for channel coding in fiber optical communication. Profound knowledge of channel coding and communication theory, C++/Python proficiency essential. Healthy meals in canteen, German/Mandarin language courses.
Requirements
- Strong foundation in Electrical Engineering, Computer Science, or related field
- Profound knowledge of channel coding and communication theory
- Proficiency in C++ and/or Python
Tasks
- Build simulation tools in Python or C/C++
- Design new forward error correction (FEC) codes
- Develop decoding algorithms from scratch
- Run simulations to identify optimal solutions
Education
- Bachelor's degree
Languages
- English – Business Fluent
Tools & Technologies
- C++
- Python
Benefits
Free or Subsidized Food
- Healthy meals in canteen
Learning & Development
- Broad range of training opportunities
- Online and face-to-face training programs
- Language courses in German and Mandarin
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Huawei and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
Huawei
Industry
IT
Description
The company is a leading global information and communications technology (ICT) solutions provider.
Not a perfect match?
- Huawei Research Center Germany & Austria
Master Thesis Student - Channel Coding for Fiber Optical Communication(m/w/x)
Full-timeWorking StudentOn-siteMünchen - Huawei Research Center Germany & Austria
Working Student in Channel Coding for Fiber Optical Communication(m/w/x)
Full-timeWorking StudentOn-siteMünchen - Huawei
Master Thesis Student - AI Algorithms for Modem Signal Processing(m/w/x)
Full-timeInternshipOn-siteMünchen - Airbus Defence and Space GmbH
Master Thesis on Privacy Preserving Communication using Physical Layer Techniques(m/w/x)
Full-timeInternshipOn-siteMünchen - Huawei Research Center Germany & Austria
Working Student for RF design and Communication System Analysis(m/w/x)
Full-timeWorking StudentOn-siteMünchen