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Master Thesis on Privacy Preserving Communication using Physical Layer Techniques(m/w/x)
Analyzing and evaluating privacy-preserving techniques for physical layer communication, implementing on an SDR setup. SDR systems and Vivado/VHDL/Verilog knowledge is a plus. Flexible working arrangements, global networking at aerospace company.
Anforderungen
- Enrolled full-time student in communication technologies, electrical engineering, computer science, or similar
- Skilled in communication systems
- Familiarity with signal processing techniques
- Coding skills in Matlab and/or Python
- Knowledge of SDR systems and software languages (Vivado/VHDL/Verilog) is a plus
- Fluency in English or German
Aufgaben
- Analyze privacy preserving techniques in signal processing
- Evaluate detection methods and assess privacy levels
- Implement selected methods efficiently on an SDR setup
Ausbildung
- Laufendes Studium
Sprachen
- Englisch – verhandlungssicher
- Deutsch – verhandlungssicher
Tools & Technologien
- Matlab
- Python
- Vivado
- VHDL
- Verilog
Benefits
Attraktive Vergütung
- Attractive salary
Familienfreundlichkeit
- Work-life balance
Flexibles Arbeiten
- Flexible working arrangements
Karriere- und Weiterentwicklung
- Opportunity to network globally
Noch nicht perfekt?
- HuaweiVollzeitPraktikumnur vor OrtMünchen
- Huawei Research Center Germany & Austria
Master Thesis Student - Channel Coding for Fiber Optical Communication(m/w/x)
VollzeitWerkstudentnur vor OrtMünchen - Huawei Research Center Germany & Austria
Master Thesis Student - Privacy-Enhancing Technologies for Collaborative AI(m/w/x)
VollzeitWerkstudentnur vor OrtMünchen - Huawei Research Center Germany & Austria
Master Thesis Student in Privacy-Enhancing Technologies for Collaborative AI(m/w/x)
VollzeitWerkstudentnur vor OrtMünchen - Huawei
Master Thesis Student - AI Algorithms for Modem Signal Processing(m/w/x)
VollzeitPraktikumnur vor OrtMünchen
Master Thesis on Privacy Preserving Communication using Physical Layer Techniques(m/w/x)
Analyzing and evaluating privacy-preserving techniques for physical layer communication, implementing on an SDR setup. SDR systems and Vivado/VHDL/Verilog knowledge is a plus. Flexible working arrangements, global networking at aerospace company.
Anforderungen
- Enrolled full-time student in communication technologies, electrical engineering, computer science, or similar
- Skilled in communication systems
- Familiarity with signal processing techniques
- Coding skills in Matlab and/or Python
- Knowledge of SDR systems and software languages (Vivado/VHDL/Verilog) is a plus
- Fluency in English or German
Aufgaben
- Analyze privacy preserving techniques in signal processing
- Evaluate detection methods and assess privacy levels
- Implement selected methods efficiently on an SDR setup
Ausbildung
- Laufendes Studium
Sprachen
- Englisch – verhandlungssicher
- Deutsch – verhandlungssicher
Tools & Technologien
- Matlab
- Python
- Vivado
- VHDL
- Verilog
Benefits
Attraktive Vergütung
- Attractive salary
Familienfreundlichkeit
- Work-life balance
Flexibles Arbeiten
- Flexible working arrangements
Karriere- und Weiterentwicklung
- Opportunity to network globally
Über das Unternehmen
Airbus Defence and Space GmbH
Branche
Aerospace
Beschreibung
Airbus is committed to achieving workforce diversity and creating an inclusive working environment.
Noch nicht perfekt?
- Huawei
Master Thesis Student in Channel Coding for Fiber Optical Communication(m/w/x)
VollzeitPraktikumnur vor OrtMünchen - Huawei Research Center Germany & Austria
Master Thesis Student - Channel Coding for Fiber Optical Communication(m/w/x)
VollzeitWerkstudentnur vor OrtMünchen - Huawei Research Center Germany & Austria
Master Thesis Student - Privacy-Enhancing Technologies for Collaborative AI(m/w/x)
VollzeitWerkstudentnur vor OrtMünchen - Huawei Research Center Germany & Austria
Master Thesis Student in Privacy-Enhancing Technologies for Collaborative AI(m/w/x)
VollzeitWerkstudentnur vor OrtMünchen - Huawei
Master Thesis Student - AI Algorithms for Modem Signal Processing(m/w/x)
VollzeitPraktikumnur vor OrtMünchen