PhD student position in Biomedical Radar for Fall Risk Prediction

Advance Fall Risk Prediction and Rehabilitation with Biomedical Radar!


Are you passionate about research that makes a real difference in people’s lives and society? Do you thrive on solving real-world challenges through interdisciplinary collaboration? This PhD student position offers a unique opportunity to contribute to a multidisciplinary research project that bridges the knowledge from multiple engineering fields to address an essential need in healthcare.

About us

At the biomedical electromagnetics group, we conduct world-leading research in the development of microwave-based technologies for medical diagnostics, treatment, and monitoring. Our research activities span computational modeling, algorithm development (using both traditional signal processing and machine learning), antenna design, and system hardware development.  We collaborate closely with clinical experts to develop innovative technologies to address critical healthcare challenges, including stroke and trauma diagnosis, cancer treatment, early detection of fall risk and diseases, and data-driven rehabilitation.

About the research project 

Fall among the elderly is a global public health concern, imposing a substantial burden on both healthcare systems and society. Accurate fall risk prediction and effective rehabilitation are essential for fall prevention.  Today’s clinical practice mainly relies on subjective assessment and observations.  Advanced sensor technologies and artificial intelligence offer the opportunity for data-driven rehabilitation through predictive analytics. This project is a close collaboration with the Department of Occupational Therapy and Physiotherapy at Sahlgrenska University Hospital, and the aim is to develop an innovative medical device to enhance fall risk prediction and support personalized rehabilitation strategies.

As a PhD student, you will develop a prototype system based on emerging biomedical radar technology to enable accurate fall risk assessment and personalized rehabilitation through detailed gait analysis. The work will involve experimental studies, algorithm development, and collaboration in clinical studies.  Besides gait and fall risk analysis, this project will also explore the use of biomedical radar for other medical applications and diseases.

Who we are looking for
We seek candidates with the following qualifications:

• The candidate should have a Master's degree or a degree corresponding to at least 240 higher education credits in electrical engineering, engineering physics, biomedical engineering, or related disciplines.
• Very good knowledge of signal processing, machine learning, and electromagnetics.
• Very good knowledge of programming (e.g. Matlab, Python, C/C++). 
• Strong written and verbal communication skills in English.

The following experience will strengthen your application:

• Experience with radar technologies, machine learning, or healthcare
• Communication skills in Swedish are valuable.

 Main responsibilities

Your major responsibility is to pursue research in line with the project, publish scientific articles, and present research findings. As part of your PhD activities, you will receive further education by courses relevant for your research and your future career. The position generally also includes teaching on Chalmers' undergraduate level or performing other duties corresponding to 20 percent of working hours.

Contract terms
Full-time temporary employment. The position is limited to a maximum of five years.

What we offer
Chalmers provides a cultivating and inspiring working environment in the coastal city of Gothenburg. 
Read more about working at Chalmers and our benefits for employees.

Chalmers aims to actively improve our gender balance. We work broadly with equality projects, for example, the GENIE Initiative on gender equality for excellence. Equality and diversity are substantial foundations in all activities at Chalmers.

If Swedish is not your native language, Chalmers offers Swedish courses to help you settle in.

Discover more
Find more general information about doctoral studies at Chalmers here. 

Application procedure
The application should be written in English be attached as PDF-files, as below. Maximum size for each file is 40 MB. Please note that the system does not support Zip files.

• CV: (Please name the document: CV, Family name)
• Personal letter
• Two references that we can contact
• Bachelor’s and, if available, master’s thesis together with the transcripts.

Application deadline: May 25, 2025

For questions, please contact:
Dr. Xuezhi Zeng, E2, Biomedical Electromagnetics, xuezhi@chalmers.se
Dr. Andreas Fhager, E2, Biomedical Electromagnetics, andreas.fhager@chalmers.se

Dr. Gunilla Kjellby Wendt, Salgrenska University Hospital, gunilla.kjellby-wendt@vgregion.se

 *** Chalmers declines to consider all offers of further announcement publishing or other types of support for the recruiting process in connection with this position. *** 
   


Chalmers University of Technology in Gothenburg conducts research and education in technology and natural sciences at a high international level. The university has 3100 employees and 10,000 students, and offers education in engineering, science, shipping and architecture. With scientific excellence as a basis, Chalmers promotes knowledge and technical solutions for a sustainable world. Through global commitment and entrepreneurship, we foster an innovative spirit, in close collaboration with wider society.
Chalmers was founded in 1829 and has the same motto today as it did then: Avancez – forward.

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