物理层安全与硬件演示器开发方向博士职位

Research Associate / PhD Student (f/m/d): Physical Layer Security and Hardware Demonstrator Development

Technische Universität München · 德国

原帖优先:申请材料、截止时间与资格以原帖和学校官方说明为准。

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研究内容
项目旨在开发、实现、测试和演示物理层安全策略,利用无线信道特征、多天线传输和自适应信号处理来提高无线通信的机密性、完整性和真实性。
申请条件
申请者需拥有电气工程、通信工程或相关领域的优秀硕士学位,具备无线通信系统和信道编码的扎实知识,精通至少一种编程语言(如Python、C++),并有FPGA编程经验和动手实验兴趣。
待遇
提供TUM ACES Lab先进的实验设施、与顶尖研究人员合作的机会、国际化研究环境以及支持在顶级会议/期刊发表论文,员工薪酬根据个人资质按E 13 TV-L薪资组发放。
申请方式
请通过电子邮件发送申请(主题注明“PHYSEC”至jobs.lti.cit@tum.de)。
材料清单
  • CV
  • copies of relevant certificates and diplomas
  • transcript of records
  • short description of your research interests and your motiva
  • Master thesis and up to 3 publications
  • contact information for two references

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结构化信息

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学科
工程
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导师
Prof. Holger Boche
来源
Technische Universität München 官方招聘 · 最近核对 2026-10-07
判定依据(原文摘录)
  • is_phd
    Research Associate / PhD Student (f/m/d): Physical Layer Security and Hardware Demonstrator Development
  • bachelor_ok
    Excellent master’s degree in Electrical Engineering, Communications Engineering, or a related field
  • english_ok
    A dynamic, international research environment and support for publication at top conferences/journals
原文

Research Associate / PhD Student (f/m/d): Physical Layer Security and Hardware Demonstrator Development

29.07.2026, Academic staff

The project aims to develop, implement, test, and demonstrate physical-layer security strategies that exploit wireless channel characteristics, multi-antenna transmission, and adaptive signal processing to improve the confidentiality, integrity, and authenticity of wireless communications.

The Chair of Theoretical Information Technology at TUM offers a position as Research Associate / PhD Student (f/m/d) Physical Layer Security and Hardware Demonstrator Development Physical-layer security is becoming increasingly important for protecting next-generation wireless networks against eavesdropping, spoofing, manipulation, and other adversarial attacks. Conventional cryptographic methods alone may not be sufficient for highly dynamic, distributed, or resource-constrained wireless systems. The project aims to develop, implement, test, and demonstrate physical-layer security strategies that exploit wireless channel characteristics, multi-antenna transmission, and adaptive signal processing to improve the confidentiality, integrity, and authenticity of wireless communications. You will design, implement, and analyze physical-layer security strategies using advanced simulation and measurement platforms. Specific tasks include: ▪ Implementing physical-layer security strategies derived from theoretical work, such as wiretap codes, artificial-noise transmission, secure beamforming, physical-layer authentication, and channel-based secret-key generation. ▪ Simulating wireless communication systems under different adversarial scenarios, including passive eavesdropping, active spoofing, and intentional jamming. ▪ Analyzing the influence of realistic propagation channels, mobility, hardware impairments, and imperfect channel-state information on the achievable security performance. ▪ Implementing selected physical-layer security strategies on RFSoCs or software-defined radios. ▪ Conducting real-world experiments to investigate deviations between theoretical models, software simulations, channel emulations, and hardware implementations. ▪ Working closely with partners at TUD and theoretical researchers on algorithm development, performance analysis, implementation, and experimental validation.

To be qualified for this position, you should have ▪ Excellent master’s degree in Electrical Engineering, Communications Engineering, or a related field ▪ Strong knowledge in wireless communication systems and channel coding ▪ Proficiency in at least one programming language (e.g. Python, C++) ▪ FPGA programming experience ▪ Interest in hands ‑ on experimentation and hardware prototyping

The following points are considered a bonus ▪ Experience with SDR platforms (e.g., USRP, NI VST, Ettus devices) ▪ Experience with spectrum analyzers or signal generators ▪ Experience with RF hardware (spectrum analyzer, network analyzer, etc.) and software defined radios ▪ Prior knowledge of wireless communication systems (MIMO-OFDM, LTE, 5G-NR) ▪ Prior knowledge of information theory

Our offer

▪ Access to state ‑ of ‑ the ‑ art lab facilities at the TUM ACES Lab ▪ Collaboration with leading researchers at TUM and TUD ▪ Opportunity to contribute to cutting ‑ edge physical layer security research with real ‑ world impact ▪ 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

How to apply

Please send us your application by e-mail (jobs.lti.cit@tum.de with "PHYSEC" in the subject line), including the following documents: ▪ CV, copies of relevant certificates and diplomas (or transcript of records if not yet finished) ▪ Short description of your research interests and your motivation for the application ▪ Master thesis and up to 3 publications (if available) ▪ Contact information for two references

General Information The Technical University of Munich (TUM) is aiming to increase the number of women employees, and applications from women are expressly welcomed. Applicants with disabilities, with essentially the same suitability and qualification, will be preferred. As you apply for a position at TUM, you will provide personal data; please note our data protection information according to Art. 13 Data Protection Basic Regulation (DSGVO) on the collection and processing of personal data in connection with your application, http://go.tum.de/554159. By submitting your application, you confirm that you have taken note of the data protection information of the TUM.

Contact Prof. Holger Boche Technical University of Munich School of Computation, Information and Technology Chair of Theoretical Information Technology Theresienstrasse 90, 80333 Munich https://www.ce.cit.tum.de/en/lti/team/boche/

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

Data Protection Information:

When 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. (data protection information on collecting and processing personal data contained in your application in accordance with Art. 13 of the General Data Protection Regulation (GDPR)). By submitting your application, you confirm that you have acknowledged the above data protection information of TUM.

Kontakt: jobs.lti.cit@tum.de

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