Ähnliche Jobs

Research Associate / PhD Student (f/m/d) Implementation of Resilience Strategies for ISAC Systems and Hardware Demonstrator Development

Research Associate / PhD Student (f/m/d) Implementation of Resilience Strategies for ISAC Systems and Hardware Demonstrator Development

Research Associate / PhD Student (f/m/d) Implementation of Resilience Strategies for ISAC Systems and Hardware Demonstrator Development

Research Associate / PhD Student (f/m/d) Implementation of Resilience Strategies for ISAC Systems and Hardware Demonstrator Development

Technische Universität München

Fach- und Hochschulen

München

  • Art der Beschäftigung: Vollzeit
  • Vor Ort
  • Zu den Ersten gehören

Research Associate / PhD Student (f/m/d) Implementation of Resilience Strategies for ISAC Systems and Hardware Demonstrator Development

Über diesen Job

Zurück zu Nachrichten-Bereich Browse in News

Research Associate / PhD Student (f/m/d) Implementation of Resilience Strategies for ISAC Systems and Hardware Demonstrator Development

22.01.2026, Wissenschaftliches Personal

Integrated Sensing and Communication (ISAC) systems are becoming a key enabling technology for next‑generation wireless networks. However, these systems are particularly vulnerable to intentional interference and jamming attacks. This PhD position is part of a larger research project focused on developing resilient ISAC architectures. This project aims to implement, test, and demonstrate resilience strategies that enhance ISAC system robustness against various types of jamming.

You will design, implement, and analyze ISAC resilience strategies using advanced simulation tools. Specific tasks include: ▪ Implementing ISAC resilience strategies derived from theoretical work (e.g., waveform design, resource allocation, adaptive sensing approaches). ▪ Simulating ISAC systems under various jamming scenarios (single‑tone, multi‑tone, frequency‑hopping, pulse, and arbitrary jamming). ▪ Using MATLAB and tools such as the Remcom Ray Tracing Suite to model realistic propagation environments. ▪ Implementing selected resilience strategies on software defined radios (SDRs) or vector signal transceivers with up to 4 GHz instantaneous bandwidth. ▪ Using the digital twin assisted ISAC framework available at the TUM ACES Lab. ▪ Conducting real world experiments to analyze performance deviations between theoretical models, software simulations, and hardware behavior. ▪ Working closely with partners at TUD on performance analysis and 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, signal processing, or radar systems ▪ Proficiency in at least one programming language (e.g. Python) ▪ 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 ▪ Knowledge of jamming, interference modeling, or secure communication techniques ▪ Familiarity with ray tracing tools or channel modeling software

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 ISAC 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 "RESILIENCE" 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/

Integrated Sensing and Communication (ISAC) systems are becoming a key enabling technology for next‑generation wireless networks. However, these systems are particularly vulnerable to intentional interference and jamming attacks. This PhD position is part of a larger research project focused on developing resilient ISAC architectures. This project aims to implement, test, and demonstrate resilience strategies that enhance ISAC system robustness against various types of jamming.

You will design, implement, and analyze ISAC resilience strategies using advanced simulation tools. Specific tasks include:
▪ Implementing ISAC resilience strategies derived from theoretical work (e.g., waveform design, resource allocation, adaptive sensing approaches).
▪ Simulating ISAC systems under various jamming scenarios (single‑tone, multi‑tone, frequency‑hopping, pulse, and arbitrary jamming).
▪ Using MATLAB and tools such as the Remcom Ray Tracing Suite to model realistic propagation environments.
▪ Implementing selected resilience strategies on software defined radios (SDRs) or vector signal transceivers with up to 4 GHz instantaneous bandwidth.
▪ Using the digital twin assisted ISAC framework available at the TUM ACES Lab.
▪ Conducting real world experiments to analyze performance deviations between theoretical models, software simulations, and hardware behavior.
▪ Working closely with partners at TUD on performance analysis and 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, signal processing, or radar systems
▪ Proficiency in at least one programming language (e.g. Python)
▪ 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
▪ Knowledge of jamming, interference modeling, or secure communication techniques
▪ Familiarity with ray tracing tools or channel modeling software

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 ISAC 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 "RESILIENCE" 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

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/

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

PhD Thesis (d/f/m) on Wireless Over-The-Air Computation for Aerospace Applications

Airbus

Ottobrunn bei München + 0 weitere

72.000 €92.000 €

PhD Thesis (d/f/m) on Wireless Over-The-Air Computation for Aerospace Applications

Ottobrunn bei München + 0 weitere

Airbus

72.000 €92.000 €

Scanning electron microscopy to investigate antennal fine structures in parasitic wasps

Technische Universität München

München + 0 weitere

57.500 €69.500 €

Scanning electron microscopy to investigate antennal fine structures in parasitic wasps

München + 0 weitere

Technische Universität München

57.500 €69.500 €

Promotionsstelle (100%) - TUM Autonomous Motorsport - Performance Exploration für autonome Rennfahrzeuge

Technische Universität München

München + 0 weitere

51.000 €68.500 €

Promotionsstelle (100%) - TUM Autonomous Motorsport - Performance Exploration für autonome Rennfahrzeuge

München + 0 weitere

Technische Universität München

51.000 €68.500 €

Promotionsstelle (100%) - Autonomous Vehicle Perception - Context-Aware Perception

Technische Universität München

München + 0 weitere

49.500 €60.500 €

Promotionsstelle (100%) - Autonomous Vehicle Perception - Context-Aware Perception

München + 0 weitere

Technische Universität München

49.500 €60.500 €

Promotionsstelle (100%) - Autonomous Vehicle Perception - Anomalie Detektion im Autonomen Fahren

Technische Universität München

München + 0 weitere

51.000 €68.500 €

Promotionsstelle (100%) - Autonomous Vehicle Perception - Anomalie Detektion im Autonomen Fahren

München + 0 weitere

Technische Universität München

51.000 €68.500 €

Promotionsstelle (100%) - Autonomous Vehicle Evaluation - Evaluation von Perzeptions- & Prädiktionsa

Technische Universität München

München + 0 weitere

50.000 €67.500 €

Promotionsstelle (100%) - Autonomous Vehicle Evaluation - Evaluation von Perzeptions- & Prädiktionsa

München + 0 weitere

Technische Universität München

50.000 €67.500 €

Promotionsstelle (100%) - TUM Autonomous Motorsport - Perception für autonome Rennfahrzeuge

Technische Universität München

München + 0 weitere

49.500 €63.500 €

Promotionsstelle (100%) - TUM Autonomous Motorsport - Perception für autonome Rennfahrzeuge

München + 0 weitere

Technische Universität München

49.500 €63.500 €

Promotionsstelle (100%) - Autonomous Vehicle Perception - Anomalie Detektion im Autonomen Fahren

Technische Universität München

München + 0 weitere

48.500 €65.500 €

Promotionsstelle (100%) - Autonomous Vehicle Perception - Anomalie Detektion im Autonomen Fahren

München + 0 weitere

Technische Universität München

48.500 €65.500 €

Promotionsstelle (100%) - Autonomous Vehicle Perception - End-2-End Autonomous Driving

Technische Universität München

München + 0 weitere

51.500 €69.500 €

Promotionsstelle (100%) - Autonomous Vehicle Perception - End-2-End Autonomous Driving

München + 0 weitere

Technische Universität München

51.500 €69.500 €