Increasingly, wireless communications links are being used as sensors. Objects and humans in the environment change the propagation conditions, which can be used as a sensing mechanism. It is even foreseen that the 6G, the sixth generation of wireless network will not only offer communication services but also positioning, navigation and sensing. Modern signal processing and AI can be used to extract meaningful information from changing channel conditions and changing electromagnetic environments.
This project is part of large EU initiative to increase building performance, including such as ventilation, connectivity, lighting conditions, facility management, etc, by algorithms that monitor activities.
In this project you will focus on algorithms to extract meaningful information by analysing the properties of radio channels and of the EM environment. You will start with making an overview of the various approaches for RF sensing that have been presented thus far. Many solutions involve machine learning to learn the environment. However, by looking deeper into known properties of radio propagation in multipath environments, our first insights promise substantial improvement opportunities. You will find effective methods to process noisy, not always fully reliable sensor data, that may not always be available, including RF sensing, in order to estimate the locations and movements of individuals inside an office environment.
The main results will be on the creation and refinement of algorithms, but you will measure radio environments and try algorithms based on measured data. Preferable you will demonstrate the algorithm in a real-time demonstration set-up.
Besides research you will also contribute to education within the department. Apart from supervising BSc and MSc students in their research projects, other assistance in education, e.g. in bachelor courses, is usually limited to around 5% of your contract time.
You will work in a team of other PhD candidates, who will also use sensing data in algorithms, for instance to estimate the activities and to use sensor data to enhance comfort, circadian rhythms, ability to perform tasks, etc.
A meaningful job in a dynamic and ambitious university, in an interdisciplinary setting and within an international network. You will work on a beautiful, green campus within walking distance of the central train station. In addition, we offer you:
Eindhoven University of Technology is an internationally top-ranking university in the Netherlands that combines scientific curiosity with a hands-on attitude. Our spirit of collaboration translates into an open culture and a top-five position in collaborating with advanced industries. Fundamental knowledge enables us to design solutions for the highly complex problems of today and tomorrow.
Do you recognize yourself in this profile and would you like to know more?
Please contact the hiring managers Ramiro Serra, r.serra[at]tue.nl, +31 40 247 4433 or Jean-Paul Linnartz, J.P.Linnartz[at]tue.nl.
Visit our website for more information about the application process or the conditions of employment. You can also contact HRServices.flux[at]tue.nl.
Are you inspired and would like to know more about working at TU/e? Please visit our career page.
We invite you to submit a complete application by using the apply button. The application should include a:
We look forward to receiving your application and will screen it as soon as possible. The vacancy will remain open until the position is filled.