Photo: Christian Schmid

Welcome to the Institute of High-Frequency Technology

On our website you will find insights into our diverse research projects, as well as information about our staff, courses, publications, and the latest news from our institute.

Together with our project partners, we conduct research on innovative topics such as non-contact vital signs measurement using radar for medical, veterinary and industrial applications. Other projects focus on ultra-low power communication networks, permittivity measurements and quantum computing research.

A distinctive feature of our institute is our combination of theoretical and experimental work. We employ advanced simulation techniques, manufacturing processes, precision measurement technology, as well as signal processing and machine learning for data analysis. Thanks to our in-house PCB manufacturing, precision mechanics workshop, and various 3D printers, we can rapidly implement theoretical concepts and test them in our antenna measurement chamber or on our linear stage.

Feel free to contact us directly to learn more about our work.

You can also find us here:

News at the IHF

18.05.22
Fabian Lurz organises the Student Design Competition for „Design of a Self-Interference Cancellation Coupler“ at the International Microwave Symposium.
12.05.22
On September, 13th and 14th, 2022 the Hamburg University of Technology will host the 1st Summer School for Machine Learning in Engineering. The Institute of High-Frequency Technology is one of the co-organizers.
10.05.22
On 10th Mai 2022 Mr. M.Sc Moritz Hägermann successfully defended his docotoral thesis with the titel "Backward-Wave Phenomena in Helix Traveling-Wave Tube Amplifiers".
22.04.22
Caspar Wasle wurde als Teilnehmer des International Space Weather Camps (ISWC) ausgewählt. Dieses vom DLR Neustrelitz, der South African National Space Agency (SANSA) und der University of Alabama in Huntsville organisierte Camp bietet Studenten und Absolventen von Studienfächern der Mathematik, Physik, Informatik und Ingenieurswissenschaften die Möglichkeit, sich intensiv mit dem spannenden und hochaktuellen Thema Weltraumwetter zu beschäftigen. Caspar Wasle hat sich zuvor als Wissenschaftliche Hilfskraft und im Rahmen seiner Bachelorarbeit am Institut im Bereich der Satellitenkommunikation (SANTANA-Aero 2) als äußerst engagierter Student hervorgetan. Wir haben Ihn sehr gerne bei seiner Bewerbung für einen Platz beim ISWC unterstützt und freuen uns, dass wir ihm nun zur Annahme gratulieren können. Im Namen des ganzen Instituts wünschen wir Caspar viel Spaß während der drei sicherlich sehr interessanten und lehrreichen Wochen.
28.01.22
Das Institut für Hochfrequenztechnik (IHF) der Technischen Universität Hamburg (TUHH) hat gemeinsam mit Forschern der FAU Erlangen-Nürnberg und der BTU Cottbus einen Artikel in der multidisziplinären Open-Access-Zeitschrift IEEE Access vorgestellt, bei dem die Einsatzmöglichkeiten von maschinellem Lernen zur Schätzung der Einfallsrichtung in Automobilradarsystemen untersucht werden.
24.11.21
Die virtuelle Veranstaltung “Artificial Intelligence in Engineering” bringt jedes Jahr eine Vielfalt von Anwendern aus den Ingenieurwissenschaften und verwandter Gebiete zusammen, um die neuesten AI-Trends in ihrer Berufs-Praxis vorzustellen. Das Event wurde dieses Jahr eröffnet durch die Keynote “Machine Learning in Engineering and Materials Science: On Your Marks, Get Set, … Go!?” von den MLE-Mitgliedern Christian Feiler, Fabian Lurz, Robert Meißner, Stefan Schulte, Christian Schuster und Gregor Vonbun-Feldbauer.
21.09.21
Das Institut für Hochfrequenztechnik (IHF) hat gemeinsam mit der FAU Erlangen-Nürnberg und Infineon Technologies AG einen neuen Ansatz des maschinellen Lernens vorgestellt, der mit einem hochintegrierten Radarsystem zuverlässig Personen erkennen und deren Aktivitäten klassifizieren kann.
11.04.25
The summer school “From Ideas to Impact: A Summer School on Design Thinking for Diversity Medicine” will take place in September 2025. We have posted an open position and look forward to receiving your applications.
11.04.25
Michel Preuß and Prof. Moritz Göldner presented our project to improve ecological sustainability in the procurement of medical devices in the OR area at the leading digital health exhibition DMEA in Berlin on April 10, 2025.
11.04.25
The “Science made in Hamburg” project aims to make the social benefits of research more visible
10.04.25
The learning platforms ILIAS and StudIP will be unavailable on Thursday, April 17th, starting at 3:00 PM due to a system update.
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10.04.25
190 schoolgirls experience the fascination of STEM on campus
10.04.25
S. Jadhav, H. Falk. Compiler-level DMA-aware multi-objective dynamic SPM allocation. In the International Journal of Time-Critical Computing Systems (Real-Time Systems), Springer, April 2025.
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10.04.25
Post-Doctoral Researcher Position at TUHH (permanent position, German E-14 salary)
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10.04.25
Doctoral Researcher Position at TUHH (funding for 4 years, German E-13 salary)
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10.04.25
The Research Training Group CAUSE invites applications for doctoral researchers full time, fully funded until finalizing the PhD degree for 3 years plus a potential extension of a fourth year. The remuneration is in accordance with E13 TV-L. Positions start between September and November 2025. Researchers from the three universities Hamburg University of Technology, University of Bremen, and Carl-von-Ossietzky University of Oldenburg jointly run CAUSE with funding from the German Research Foundation (DFG). CAUSE investigates Concepts and Algorithms for – and Usage of – Self-Explaining Digitally Controlled Systems. Digitally controlled systems are pervasive in our everyday life from transport to health-care. CAUSE aims at making digitally controlled systems self-explaining to the benefit of developers, operators, interoperability, and other systems. CAUSE is a research, education, and networking hub for future researchers. Topic-wise CAUSE covers all layers from system-of-systems over software stacks to digital hardware. Doctoral researchers in CAUSE will tightly interact to study cross-level effects of self-explanation considering a virtual wind park as a demonstrator. You have to have a Master of Science degree in Computer Science or a tightly related area (potentially ongoing, completed before September-November 2025). The full job add and further details can be found here: https://rtg-cause.github.io/apply Applications are due by May 1, 2025!
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09.04.25
The Data Engineering team welcomes its newest member.