Student Research Assistants Medical Sensing, Communications, and Modeling

Fraunhofer Gesellschaft; Berlin; Vor Ort; EUR 12.000 - 16.000; Teilzeit

Benefits dieser Stelle

Flexible working hours

International research environment

State-of-the-art facilities

Opportunity for thesis work

Zusammenfassung

Fraunhofer-Gesellschaft invites applications for a part-time Student Research Assistant in the Wireless Communications and Networks group at the Fraunhofer Heinrich Hertz Institute (HHI). The role focuses on developing algorithms for medical sensing, wireless communications, and AI-enabled data analysis.

You will work on digital health technologies, 6G-related sensing, and collaboration with medical partners, with opportunities to publish and pursue a thesis in the project.

Qualifikationen

• Current enrollment in a Master's program or an advanced Bachelor's program.
• Interest in medical sensing, communication, and assistive technologies.
• Basic knowledge in DSP, Communications, ML/Data Science, Embedded Systems, or modeling.
• Experience with Python, MATLAB, and/or C/C++.
• Analytical, independent, and structured working style; autonomous in interdisciplinary settings.
• Experience with radar/wireless sensing or biomedical signal processing is a plus.

Aufgaben

• 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

Kenntnisse

Python

MATLAB

C/C++

Machine Learning

Embedded Systems

DSP

Ausbildung

Master's enrollment

Advanced Bachelor's program

Tools

Simulink

LabVIEW

TensorFlow

Jobbeschreibung

Student Research Assistants Medical Sensing, Communications, and Modeling

The Fraunhofer-Gesellschaft (www.fraunhofer.com ) is one of the world's leading organizations for application-oriented research. 74institutes develop pioneering technologies for our economy and society – more precisely: 30000 people from technology, science, administration and IT. They know: Anyone who comes to Fraunhofer wants to and can make a difference. For themselves, for us and for the markets of today and tomorrow.

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
• 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.

E-Mail: [e-mail]

Requisition Number: 84659 Application Deadline: 10/31/2026