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 What you contribute Current enrollment in a Master's program or an advanced Bachelor's program in Electrical Engineering, Communications Engineering, Computer Science, Physics, Biomedical Engineering, or a related field Interest in medical sensing, communication, and assistive technologies Basic knowledge in one or more of the following areas: Digital Signal Processing (DSP) Communications and Information Engineering Machine Learning and Data Science Embedded Systems and hardware-oriented development Modeling and simulation of complex systems Experience with Python, MATLAB, and/or C/C++ Strong analytical and problem-solving skills Independent, reliable, and structured working style Enthusiasm for working in an interdisciplinary research environment Desirable qualifications: Experience with radar signal processing, wireless sensing, biomedical signal processing, or related technologies Knowledge of communication systems, wireless networks, and physical-layer signal processing Knowledge of adaptive filtering, spectral estimation, and statistical signal modeling Basic experience with machine learning frameworks such as PyTorch or TensorFlow Familiarity with real-time systems, embedded software, or hardware-oriented development We understand that candidates may not yet have experience in all listed areas. Depending on your background and interests, you will have the opportunity to deepen your expertise in medical sensing, signal processing, wireless communications, machine learning, and 6G technologies as part of the position. What we offer A part-time position as a Student Research Assistant at one of the world's leading telecommunications research institutes Flexible working hours compatible with your studies A dynamic, international, and research-driven work environment with highly motivated colleagues The opportunity to contribute to cutting-edge research on 6G, wireless sensing, AI, and future healthcare technologies Close collaboration with leading academic, industrial, and clinical partners Access to state-of-the-art simulation, laboratory, and testbed facilities Opportunity to pursue a Bachelor's or Master's thesis within the project The position is initially limited to 1 year. An extension is explicitly desired. The monthly working time is 80 hours. This position is also available on a part-time basis. We value and promote the diversity of our employees' skills and therefore welcome all applications – regardless of age, gender, nationality, ethnic and social origin, religion, ideology, disability, sexual orientation and identity. Severely disabled persons are given preference in the event of equal suitability. Our tasks are diverse and adaptable – for applicants with disabilities, we work together to find solutions that best promote their abilities. With its focus on developing key technologies that are vital for the future and enabling the commercial utilization of this work by business and industry, Fraunhofer plays a central role in the innovation process. As a pioneer and catalyst for groundbreaking developments and scientific excellence, Fraunhofer helps shape society now and in the future. Ready for a change? Then apply now and make a difference! Once we have received your online application, you will receive an automatic confirmation of receipt. We will then get back to you as soon as possible and let you know what happens next. Dr.-Ing. Johannes Dommel E-Mail: [email protected] Fraunhofer Institute for Telecommunications, Heinrich Hertz Institute HHI www.hhi.fraunhofer.de Requisition Number: 84659 Application Deadline: 10/31/2026