Research Associate​/PhD Student; f​/m​/d Secure Communication AI-Driven

Overview

The Chair of Theoretical Information Technology is seeking a highly motivated research associate (m/f/d) for a project focused on developing secure communication systems for AI-driven applications. The objective is to investigate, design, and experimentally validate information-theoretically secure coding schemes tailored to safety-critical domains such as medicine and robotics. Communication for AI applications in sensitive domains requires high levels of security and data protection.

Physical layer security offers an information-theoretic approach that embeds security into the physical transmission layer, ensuring resilience against future attack methods, including threats from quantum computers.

• Conduct research on physical layer security, considering different attack methods
• Develop and mathematically analyze information-theoretic coding schemes
• Investigate and define privacy and security metrics (KPIs)
• Implement and experimentally validate solutions in the ACES testbed
• Analyze the impact of AI-based attack scenarios and develop countermeasures
• Publish research results and contribute to the development of a demonstrator

• Excellent master’s degree in Electrical Engineering, Communications Engineering, or a related field
• Strong knowledge in wireless communication systems and basic knowledge in information theory
• Proficiency in at least one programming language (e.g. Python)
• Interest in AI‑based attack models and security research

• Knowledge in cryptography
• Experience with SDR platforms (e.g., USRP, NI VST, Ettus devices)

• Participation in a cutting‑edge research project with high societal impact
• Access to state‑of‑the‑art lab facilities at the TUM ACES Lab
• Collaboration with leading researchers at TUM and TUD
• A dynamic, international research environment and support for publication at top conferences/journals
• Subject to personal qualifications, employees are remunerated in salary group E 13 TV-L

Please send your application by e-mail to  with "SEC-AI" in the subject line, including the following documents:

• CV, copies of relevant certificates and diplomas, transcript of records
• Short description of your research interests and your motivation for the application
• Master's thesis and up to 3 publications (if available)
• Contact information for two references

Prof. Holger Boche
Technical University of Munich
School of Computation, Information and Technology
Chair of Theoretical Information Technology
Theresienstrasse 90, 80333 Munich

The position is suitable for disabled persons. Disabled applicants will be given preference in case of generally equivalent suitability, aptitude and professional performance.

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