Ähnliche Jobs

FPGA / Mixed-Signal Design Engineer (m/f/d)

Menlo Systems GmbH

Planegg + 0 weitere

FPGA / Mixed-Signal Design Engineer (m/f/d)

Planegg + 0 weitere

Menlo Systems GmbH

Wissenschaftlicher Mitarbeiter und Doktorand (f/m/d) für Forschungsprojekt über wirtschaftlich optimalen und netzdienlichen Betrieb von Batteriegroßspeichern in Verteilnetzen

Technische Universität München

München + 0 weitere

Wissenschaftlicher Mitarbeiter und Doktorand (f/m/d) für Forschungsprojekt über wirtschaftlich optimalen und netzdienlichen Betrieb von Batteriegroßspeichern in Verteilnetzen

München + 0 weitere

Technische Universität München

Research Associate / Doctoral Candidate (m/f/d)

Technische Universität München

München + 0 weitere

Research Associate / Doctoral Candidate (m/f/d)

München + 0 weitere

Technische Universität München

Research Associate / PhD Student (f/m/d)

Research Associate / PhD Student (f/m/d)

Research Associate / PhD Student (f/m/d)

Research Associate / PhD Student (f/m/d)

Technische Universität München

Fach- und Hochschulen

München

  • Art der Beschäftigung: Vollzeit
  • Vor Ort

Research Associate / PhD Student (f/m/d)

Über diesen Job

Sitemap >Jobs und Stellenangebote >Wissenschaftliches Personal > Research Associate / PhD Student (f/m/d)
Zurück zu Nachrichten-Bereich Browse in News

Research Associate / PhD Student (f/m/d)

29.07.2026, Wissenschaftliches Personal

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.


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/

Die Stelle ist für die Besetzung mit schwerbehinderten Menschen geeignet. Schwerbehinderte Bewerberinnen und Bewerber werden bei ansonsten im wesentlichen gleicher Eignung, Befähigung und fachlicher Leistung bevorzugt eingestellt.

Kontakt: jobs.lti.cit@tum.de

Unternehmens-Details

company logo

Technische Universität München

Fach- und Hochschulen

5.001-10.000 Mitarbeitende

München, Deutschland

Ähnliche Jobs

Research Assistant (PhD Candidate) in Digital Work (m/f/x)

Ludwig-Maximilians-Universität München

München + 0 weitere

Research Assistant (PhD Candidate) in Digital Work (m/f/x)

München + 0 weitere

Ludwig-Maximilians-Universität München

PostDoc (m/f/d) for “Safe and Networked Control for AI-Assisted Teleoperation

Technische Universität München

München + 0 weitere

Neu · 

PostDoc (m/f/d) for “Safe and Networked Control for AI-Assisted Teleoperation

München + 0 weitere

Technische Universität München

Neu · 

PhD in Computational Imaging & Scientific Software Engineering (f/m/x)

Technische Universität München

München + 0 weitere

PhD in Computational Imaging & Scientific Software Engineering (f/m/x)

München + 0 weitere

Technische Universität München

Doktorand / Doktorandin (m/w/d)

Ludwig-Maximilians-Universität München

München + 0 weitere

Doktorand / Doktorandin (m/w/d)

München + 0 weitere

Ludwig-Maximilians-Universität München

Research Associate / Doctoral Candidate – AI-based Surgical Understanding (m/f/d)

Technische Universität München

München + 0 weitere

Research Associate / Doctoral Candidate – AI-based Surgical Understanding (m/f/d)

München + 0 weitere

Technische Universität München

Doctoral Researcher (m/f/d) in AI-Driven Conceptual Structural Design for Steel Reuse

Technische Universität München

München + 0 weitere

Doctoral Researcher (m/f/d) in AI-Driven Conceptual Structural Design for Steel Reuse

München + 0 weitere

Technische Universität München

PhD position in Scientific Machine Learning: Data science at scale and mixed precision solvers

Technische Universität München

München + 0 weitere

PhD position in Scientific Machine Learning: Data science at scale and mixed precision solvers

München + 0 weitere

Technische Universität München

Wissenschaftliche/r Mitarbeiter/in (m/w/d) im Themenfeld Adaptive Computer Vision und flexible Robotik für Montage- und Demontageprozesse

Technische Universität München

München + 0 weitere

Wissenschaftliche/r Mitarbeiter/in (m/w/d) im Themenfeld Adaptive Computer Vision und flexible Robotik für Montage- und Demontageprozesse

München + 0 weitere

Technische Universität München

Post­doc (f/m/x) in Op­toa­cou­stic To­mo­gra­phy

Helm­holtz Zen­trum Mün­chen, Deut­sches For­schungs­zen­trum für Ge­sund­heit und

Oberschleißheim + 0 weitere

Post­doc (f/m/x) in Op­toa­cou­stic To­mo­gra­phy

Oberschleißheim + 0 weitere

Helm­holtz Zen­trum Mün­chen, Deut­sches For­schungs­zen­trum für Ge­sund­heit und