Master Thesis Evaluation of Hardware-Accelerated MACsec for Secure gPTP in Automotive TSN Networks

Job Description

• You will set up an automotive Ethernet network supporting gPTP and hardware-accelerated MACsec.
• As part of the validation process, you will verify that gPTP communication is effectively protected by MACsec and operates correctly.
• In addition, you will quantify the impact on clock offset, peer delay, synchronization stability, convergence, latency, and jitter.
• Where feasible, you will compare hardware MACsec with a Linux software-MACsec reference implementation.

Qualifications

• Education: Master studies in the field of Electrical Engineering, Computer Science, Communications, or a comparable engineering discipline with very good grades
• Experience and Knowledge: solid programming skills in C/C++ and Python; good knowledge of Linux and embedded systems; proven involvement in a student project and/or internship
• Personality and Working Practice: you are motivated to work on a research-oriented engineering topic and eager to discuss technical challenges and results with strong communication skills
• Work Routine: our hybrid model provides you with a balanced mix of on-site presence and flexible remote work (60% office and 40% remote)
• Enthusiasm: passionate about exploring new networking technologies, hardware platforms, and technical documentation
• Languages: fluent in English; German is a plus

Additional Information

Start: according to prior agreement
Duration: 6 months

Requirement for this thesis is the enrollment at university. Please attach your CV, transcript of records, examination regulations and if indicated a valid work and residence permit.

Diversity and inclusion are not just trends for us but are firmly anchored in our corporate culture. Therefore, we welcome all applications, regardless of gender, age, disability, religion, ethnic origin or sexual identity.

Need further information about the job?
Friedrich Wiemer (Functional Department)
+49 152 24695820
Jonathan Ndop (Functional Department)
+49 152 05270537

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