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The Chair of Micro- and Nanosystems Technology (MNT) is looking for a Research Assistant (m/w/d) for RF system design for low power IoT sensor networks.

The Internet of Things (IoT) has opened up completely new applications in many areas. In particular, the wireless connection of a large number of sensors can now provide information in industrial environments, for example, that was previously inaccessible. In this context, RF-based sensors represent a very interesting group, which can be used in particular to detect changes in material properties in an industrial context.

These sensor systems require both high-performance RF sensors with the associated evaluation circuits and also efficient, low-power radio networks. One approach here is edge computing, with which the data rate can be significantly reduced and thus the use of low-power network nodes.

Your research activities include:

Working on current research and development topics in the area of IoT sensor networks.
Research and Design of novel PCB-based RF sensor nodes.
Development of low-power radio networks.
Demonstration of feasibility, simulation and measurement of sensor nodes.
Performance Analysis of low-power radio networks.
Presentation of project results at international conferences and to research partners.

Necessary qualification

A master degree in electrical engineering, communications engineering, mechatronics, computer engineering, medical engineering or similar fields.
Very good knowledge in the areas of radio frequency technology and communications technology.
Very good analytical and conceptual skills as well as a structured way of working.
A high degree of independence, initiative and commitment.

Desirable Qualification

Knowledge in the design and simulation of radio frequency systems (e.g. PathWave System Design (SystemVue), Simulink, Phyton).
Knowledge in the design, simulation and layout of PCB-based RF systems (e.g. ADS and Altium Designer).
Knowledge in EM-simulation (HFSS, CST, Momentum, etc.).

We Offer:

An interdisciplinary research unit with a young and motivated team
Participation in international conferences
An international scientific network
A friendly, helpful and international work environment
The possibility to do a PhD thesis under personal supervision
Direct cooperation and co-supervision by Fraunhofer Research Institution for Microsystems and Solid State Technologies EMFT
Embedding in scientific environment at Fraunhofer EMFT and on-site workplace
Fair pay according to the collective wage agreement of the federal state (TV-L E13)

Application:
Please send your application documents (Motivation, CV, academic transcripts, possibly internship/work references) in one PDF file (max. 25MB) to Prof. Dr-Ing. Amelie Hagelauer, Chair for Micro- and Nanosystems Technology, Technical University of Munich (amelie.hagelauer@tum.de). We are looking forward to meet you!

Bewerbungen werden gerne auch in deutscher Sprache entgegengenommen.

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Kontakt: amelie.hagelauer@tum.de

Download as pdf

The Chair of Micro- and Nanosystems Technology (MNT) is looking for a Research Assistant (m/w/d) for integrated mmWave Radio Frequency Circuits and Systems in BiCMOS and CMOS (RF SOI).

To make new applications such as augmented reality possible in everyday life, mobile communications standards are needed that enable very high data rates with very low latency and must also be very energy- and area-efficient. For this reason, actual scientific research is strongly working on 6G. The innovation in the future 6G mobile communication systems will be the capability to use these systems for sensing task at the same time, which enables so-called Joint Communication and Sensing (JCAS) systems. To make this possible, new approaches for high-performance circuits and systems in the mmWave range must be researched and implemented.
A special focus lies on the high integration density of the resulting multi-channel systems. This claims for innovative integration, placement and packaging concepts. Here, in addition to the avoidance of cross-coupling, thermal management also plays a very important role for the performance of the integrated multi-channel system. Both have to be modeled and addressed with suitable methods.