Student Research Assistants Medical Sensing, Communications, and Modeling

Fraunhofer-GesellschaftOn-siteFull-timeListed 1 week ago

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About this role

Future. Discover. Together.

The “Wireless Communications and Networks” department at the Fraunhofer Heinrich Hertz Institute (HHI) develops wireless communication systems for future mobile network generations (5G+/6G and beyond). The “Connected Intelligence and Robotics” (CIR) group focuses on advanced radio systems, AI-native communications, integrated sensing and communication (ISAC), edge intelligence, digital twins, and secure wireless connectivity.

In close collaboration with medical partners, the group investigates how emerging 6G technologies, including integrated sensing and communication, edge intelligence, and distributed AI, can enable future healthcare applications. This includes novel approaches for medical sensing, physiological monitoring, diagnostics, therapy support, and telemedicine, validated through simulations and experimental testbeds. Become a part of our team and join us on our journey of research and innovation!

Be part of change

- Development and evaluation of algorithms for the acquisition, processing, and analysis of physiological signals and vital parameters (e.g., respiration, cardiac activity, motion)

- Application and advancement of methods in digital signal processing, statistical data analysis, and artificial intelligence for medical sensing systems

- Modeling, simulation, and analysis of biophysical processes as well as medical sensing and communication systems

- Development of novel approaches for contactless and multimodal vital sign monitoring and the interpretation of medical measurement data

- Contribution to solving inverse problems and reconstructing physiological states from sensor data

- Design, integration, and validation of hardware-oriented demonstrators, measurement systems, and experimental test platforms

- Planning, execution, and evaluation of experiments, measurement campaigns, and simulation studies in the field of digital health technologies

- Development of software tools and data analysis workflows for innovative medical sensing, communication, and assistive systems