The candidate will be responsible for the following activities:
• Developing methods for signal processing in phased-array radar for building 3D situation awareness;
• Development of data retrieval methods for 3D continuously distributed targets such as rain;
• Development of artificial intelligence methods for classification of localized and distributed targets with automotive radars with focus on sensing signal design and dedicated signal processing schemes;
• Experimentally verifying methods with operational weather and automotive radar;
• Performing research according to the project plan;
• Preparing and writing all project deliverables within the project.

The performance of the methods developed will be evaluated in simulations and validated with signals measured with real radar research platforms, which are available at MS3.
The researcher will work in a multi-disciplinary team connected to the main academic and industrial actors in the field.

The applicant should have an MSc degree with a background in electrical engineering, physics, remote sensing, computer science or mathematics and preferably strong knowledge of and interest in radar signal processing, remote sensing and classification methods including AI.

Programming experience in C/C++ and/or MATLAB/Python is expected; experience in working with actual radar will be an advantage.

Strong communication skills for interaction with the other members of the project’s team are expected. The researcher should have an open personality and 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.

Fixed-term contract: 4 years.

TU Delft offers a customisable compensation package, a discount for health insurance and sport memberships, and a monthly work costs contribution. Flexible work schedules can be arranged. An International Children’s Centre offers childcare and an international primary school. Dual Career Services offers support to accompanying partners. Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities.
As a PhD candidate you will be enrolled in the TU Delft Graduate School. TU Delft Graduate School provides an inspiring research environment; an excellent team of supervisors, academic staff and a mentor; and a Doctoral Education Programme aimed at developing your transferable, discipline-related and research skills. Please visit www.tudelft.nl/phd for more information.

Technische Universiteit Delft

Delft University of Technology (TU Delft) is a multifaceted institution offering education and carrying out research in the technical sciences at an internationally recognised level. Education, research and design are strongly oriented towards applicability. TU Delft develops technologies for future generations, focusing on sustainability, safety and economic vitality. At TU Delft you will work in an environment where technical sciences and society converge. TU Delft comprises eight faculties, unique laboratories, research institutes and schools.

Faculty Electrical Engineering, Mathematics and Computer Science

The Faculty of EEMCS brings together three disciplines - electrical engineering, mathematics and computer science. Combined, they reinforce each other and are the driving force behind the technology we use in our daily lives. Technology such as the electricity grid, which our faculty is helping to make future-proof. We are also working on a world in which humans and computers strengthen each other. We are mapping out disease processes using single-cell data, and using mathematics to simulate gigantic ash plumes after a volcanic eruption. There is plenty of room for ground-breaking research. We educate innovative engineers and have excellent labs and facilities that underline our strong international position. In total, more than 1,100 employees and 4,000 students work and study in this challenging environment.

The Department of Microelectronics has a strong interdisciplinary research and education programme in the areas of
1. health and well-being,
2.  autonomous systems,
3. next generation wireless and sensing technology and
4. safety and security.
With 11  IEEE Fellows among the staff, an excellent microfabrication infrastructure, extended radar research facilities, and a strong international academic and industrial network, the department provides high-level expertise in each of these areas throughout the entire system chain.

Within the autonomous driving program, the Microwave Sensing, Signals and Systems group performs multiple projects on building situation awareness with automotive radar sensors. Our group performs theoretical and experimental research over a complete chain of radar operation, ranging from electromagnetic waves radiation, propagation and scattering through analogue and digital microwave signal processing to detection, positioning and tracking, navigation, classification and imaging of objects in complex environments. More on the research can be found at radar.tudelft.nl.