Postdoc Radar Sensing
We have the ambition to investigate innovative techniques for separation and tracking of multiple persons in an indoor environment using radar systems. Information on what activities a person is doing, where, and when, can help understand his/her physical and cognitive status and identify anomalies possibly related to worsening health.
Why radar? Radar has the advantage of being contactless, requiring end-users not to wear any extra device or interact with them, hence increasing comfort and compliance, as well as not recording plain optical videos or images, which might raise privacy objections, especially in private home environments.
While radar sensing in the context of human activity recognition (HAR), assisted living, and indoor monitoring has been explored in recent years, considerable challenges remain, especially in a multi-target scenario.
You will work in a joint project between TU Delft and a leading industrial partner in communication and sensing technologies. You will investigate algorithms for separation and clustering of micro-Doppler signatures of multiple persons, and for tracking and maintaining labelling in the event of grouping and spawning (essentially, “who is who” before/after very close meeting up of multiple persons).
You will be also responsible for
- Formulating novel algorithms for the abovementioned problem of separation and tracking of multiple persons.
- Experimentally verifying methods with short-range radars.
- Performing research according to the project plan.
- Preparing and writing all project deliverables within the project.
You will work in the Microwave Sensing Signals and Systems (MS3) research group at the Department of Microelectronics (see radar.tudelft.nl). The group has extensive research facilities and track record on the full pipeline of microwave and radar sensing, from hardware development to radar signal processing and methods for automatic object classification.
To be considered for the position you will have:
- A PhD degree in a relevant field, i.e. electrical/electronic engineering, computer science, physics, mathematics.
- Demonstrable knowledge and interest in radar signal processing, preferably in the area of tracking and/or micro-Doppler signatures.
- Programming experience in MATLAB/Python or C/C++, preferably combined with experience in working with actual radar systems and data.
- Strong communication skills in both written and oral English
- A curiosity-driven mindset and a passion for (doing) research
- An open personality for cooperation with colleagues and co-supervision of students
- Good English language skills in order to closely cooperate with colleagues and students as well as write project documents.
European (EU) nationality is an advantage.
Delft University of Technology is built on strong foundations. As creators of the world-famous Dutch waterworks and pioneers in biotech, TU Delft is a top international university combining science, engineering and design. It delivers world class results in education, research and innovation to address challenges in the areas of energy, climate, mobility, health and digital society. For generations, our engineers have proven to be entrepreneurial problem-solvers, both in business and in a social context. At TU Delft we embrace diversity and aim to be as inclusive as possible (see our Code of Conduct). Together, we imagine, invent and create solutions using technology to have a positive impact on a global scale.
Challenge. Change. Impact!
Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities. The TU Delft offers a customisable compensation package, a discount on health insurance and sport memberships, and a monthly work costs contribution. Flexible work schedules can be arranged.
For international applicants we offer the Coming to Delft Service and Partner Career Advice to assist you with your relocation. An International Children's Centre offers childcare and there is an international primary school.