OverviewThe 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.ResponsibilitiesConduct research on physical layer security, considering different attack methodsDevelop and mathematically analyze information-theoretic coding schemesInvestigate and define privacy and security metrics (KPIs)Implement and experimentally validate solutions in the ACES testbedAnalyze the impact of AI-based attack scenarios and develop countermeasuresPublish research results and contribute to the development of a demonstratorQualificationsExcellent master’s degree in Electrical Engineering, Communications Engineering, or a related fieldStrong knowledge in wireless communication systems and basic knowledge in information theoryProficiency in at least one programming language (e.g. Python)Interest in AI‑based attack models and security researchBonusesKnowledge in cryptographyExperience with SDR platforms (e.g., USRP, NI VST, Ettus devices)OfferParticipation in a cutting‑edge research project with high societal impactAccess to state‑of‑the‑art lab facilities at the TUM ACES LabCollaboration with leading researchers at TUM and TUDA dynamic, international research environment and support for publication at top conferences/journalsSubject to personal qualifications, employees are remunerated in salary group E 13 TV-LHow To ApplyPlease send your application by e-mail to jobs.lti.cit@tum.de with "SEC-AI" in the subject line, including the following documents:CV, copies of relevant certificates and diplomas, transcript of recordsShort description of your research interests and your motivation for the applicationMaster's thesis and up to 3 publications (if available)Contact information for two referencesContactProf. Holger BocheTechnical University of MunichSchool of Computation, Information and TechnologyChair of Theoretical Information TechnologyTheresienstrasse 90, 80333 Website position is suitable for disabled persons. Disabled applicants will be given preference in case of generally equivalent suitability, aptitude and professional performance.Data Protection InformationWhen you apply for a position with the Technical University of Munich (TUM), you are submitting personal information. With regard to personal information, please take note of the Datenschutzhinweise gemäß Art. 13 Datenschutz-Grundverordnung (DSGVO) zur Erhebung und Verarbeitung von personenbezogenen Daten im Rahmen Ihrer Bewerbung. By submitting your application, you confirm that you have acknowledged the above data protection information of TUM. Kontakt: jobs.lti.cit@tum.de #J-18808-Ljbffr