Assistant Professor Radar Remote Sensing (Delft, NL, 2628 CD)

Lead pioneering research in radar remote sensing with real-world impact. Develop next-generation phased-array radar technology, inspire future engineers and scientists, and work with some of Europe’s most advanced radar facilities.

Challenge: Advancing radar sensing capabilities for a rapidly changing world.

Change: Developing innovative phased-array radar technologies and related signal processing methods.

Impact: Enabling better weather monitoring, climate research, environmental observation, and safety-critical applications.

We are looking for a researcher with a strong scientific foundation, a passion for innovation, and the ambition to develop a leading research programme in radar remote sensing. You enjoy combining theory, experimentation and real-world applications, and you are motivated to contribute to both research excellence and high-quality education.

You also have:

• A PhD in Electrical Engineering, Physics, Applied Mathematics, or a closely related discipline
• Demonstrated expertise in one or more relevant areas, such as radar remote sensing, weather radar, Doppler polarimetry, array signal processing, or sonar.
• Experience working with experimental systems, field measurements, and real-world datasets.
• A strong publication record in internationally recognised peer-reviewed journals and conferences.
• The potential to acquire competitive research funding and develop successful research proposals.
• A genuine interest in teaching, supervision, and mentoring students and early-career researchers.
• Excellent communication skills and the ability to build collaborations across academia, industry, and government.
• An excellent command of English, as TU Delft is an internationally diverse community.

We recognise that academic careers develop along different paths and welcome applicants from diverse backgrounds. If you are excited about this opportunity but do not meet every requirement, we encourage you to apply.

At TU Delft’s Microwave Sensing, Signals and Systems (MS3) group, you will conduct pioneering research in active phased-array radar systems for remote sensing applications. Your work will contribute to societal challenges ranging from weather forecasting and climate monitoring to drone detection, space surveillance, sea-state monitoring, thunderstorm observation, and environmental monitoring.

As an Assistant Professor, you will develop and lead an independent research line in radar remote sensing. You will define a long-term scientific vision and translate it into innovative research projects focused on phased-array radar signal processing, target and clutter parameter estimation, and the use of polarimetric and Doppler information. You will work closely with colleagues across disciplines to advance both fundamental knowledge and practical radar applications.

A unique aspect of this position is access to TU Delft’s state-of-the-art radar infrastructure, including PARSAX, MESEWI and PHARA. You will use these facilities to validate research concepts and contribute to the further development of our experimental radar platforms.

You will build and supervise a team of PhD candidates, mentor MSc students, and contribute to a collaborative and internationally recognised research environment. In addition, you will establish partnerships with industry and public organisations, develop research proposals, and secure external funding to support your research ambitions.

Teaching is an integral part of this role. You will contribute to Bachelor’s and Master’s courses in radar systems and remote sensing, supervise student projects, and help shape future educational programmes.

At MS3, you will join a diverse and supportive team of professors, researchers, engineers and students. Through TU Delft’s Academic Career Track, you will receive a competitive start-up package, leadership development opportunities, and structured support to grow your academic career towards associate and full professorship.

• You can apply online. We will not process applications sent by email and/or post. 
• As part of knowledge security, TU Delft conducts a risk assessment during the recruitment of personnel. We do this, among other things, to prevent the unwanted transfer of sensitive knowledge and technology. The assessment is based on information provided by the candidates themselves, such as their motivation letter and CV, and takes place at the final stages of the selection process. When the outcome of the assessment is negative, the candidate will be informed. The processing of personal data in the context of the risk assessment is carried out on the legal basis of the GDPR: performing a public task in the public interest. You can find more information about this assessment on our website about knowledge security.
• Please do not contact us for unsolicited services.

Are you interested in this vacancy? Please apply before October 19th,2026 via the application button and upload:

• Motivation letter.
• Detailed CV.
• Recent teaching evaluations (if available).
• Two recent research papers (published or unpublished).
• Research vision
• Teaching vision
  
  

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

You can address your application to prof.dr. Olexander Yarovyi.