Cognitive Radar Signal Processing for Remote Sensing Applications

Expertise: Challenge: Embedding cognitive processes into radar remote sensing.
Change: Closed-control loop in radar sensors.
Impact: A multifaceted approach to health care, environmental challenges, and autonomous driving.

Job description
At TU Delft’s Microwave Sensing, Signals and Systems (MS3) group, you’ll be at the forefront of research in cognitive systems and remote sensing. Your work will have a tangible impact on diverse applications, from long-term medical monitoring that supports independent living for elderly individuals to enabling autonomous driving. Other applications include radar meteorology, sea state monitoring, subsurface sensing, and bird species classification at wind farms, among others.

As an Assistant Professor, your key responsibilities will include:

• Conducting scientific research, developing and implementing innovative ideas in radar signal processing. Additionally, shaping your vision within scientific domains of radar remote sensing or/and joint communication and sensing;
• Building and mentoring a research team of three to four PhD students, guiding them towards the successful completion of their research projects;
• Establishing collaborations with industrial partners and securing research funding to support your projects;
• Teaching and mentoring master’s and potentially bachelor’s students;
• Developing and giving academically enriching courses to further enhance the curriculum.

Your work will integrate cutting-edge research, impactful education, and meaningful societal engagement, empowering you as a leader in your field. You will shape the future of wireless technology and inspire the next generation, all while advancing toward full professorship.

At MS3, you'll become part of a collaborative, supportive, and diverse team of professors, teachers, technicians, PhD researchers, and master’s students. We are committed to fostering a welcoming, open, and inclusive environment where all members thrive. To support your growth in this Academic Career Track position, you will receive a generous start-up package and professional development opportunities, including leadership. Additionally, you’ll have access to Europe’s leading radar infrastructure, including our fully reconfigurable polarimetric wideband radars (PARSAX and MESEWI), our antenna measurement chamber (DUCAT), our millimeter-wave and UWB radar indoor laboratory as well as the first in European academia full-polarimetric active electronically scanner array radar PHARA, which is under manufacturing now. Find more about us at Microwave Sensing, Signals and Systems.

Requirements
You thrive on generating and realising ground-breaking research and are passionate about developing and implementing innovative ideas in radar signal processing. Your ability to translate research into practical applications, demonstrated through contributions to operational radar systems, impactful publications, and potential patents, will be highly valued. Collaboration is central to this role, and your communication skills will enable you to build networks within the faculty and beyond, fostering interdisciplinary cooperation.

We understand that excellence takes many forms, and we welcome applicants who are eager to grow into this role. At TU Delft, we believe in professional growth and are committed to supporting your development! If you are excited about this position but do not yet meet every requirement, we encourage you to apply.

You also have:

• A PhD in electrical engineering, physics, applied mathematics, or a related field.
• Demonstrable research experience in one or more relevant fields, such as remote sensing, radar, sonar, ultrasound or telecommunication, and a drive to work and learn in the multidisciplinary domain of radar remote sensing.
• A proven track record in your research field, as evidenced by refereed publications in top quality journals.
• A passion for teaching and mentoring students, with the potential to become an inspiring educator.
• An excellent command of English, as TU Delft is an internationally diverse community.

Additional information

If you would like more information about this role or have questions, please contact Prof. Dr Alexander Yarovoy, Chairman of MS3, email: a.yarovoy@tudelf.nl.

Application procedure

Are you interested in this vacancy? Please apply before 15 October 2025 via the application button and upload:

1. Motivation letter.
2. Detailed CV.
3. Recent teaching evaluations (if available).
4. Two research papers (published or unpublished).
5. Names and contact information of at least three relevant references. We will not contact references without your consent

After the first selection, video interviews will be held in November. The interviews at TU Delft will take place in December.

• A pre-employment screening can be part of the selection procedure.
• You can apply online. We will not process applications sent by email and/or post.
• Acquisition in response to this vacancy is not appreciated

Last updated: 8 Aug 2025