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PhD Position Operational Performance of Antenna Arrays in Presence of Heterogeneous Environment
Antenna are eyes of any wireless system, from telecom to sensing. Join us as a PhD student to research on antennas which precisely point to a user in complex environment.
Job description
The key open challenge in the current state-of-art, is to predict operational radiation patterns of antenna array including the impact of environment. As this particular PhD project is focused on operational performance of antenna arrays in case of the surface duct presence, the objective of this PhD project is to develop procedure to reconstruct the surface duct properties using external transmitters of opportunities and predict realistic radiation of ship-based antenna arrays within such environment. Both the surface duct impact on the naval radar operation and usage of the developed procedure to predict radar operation will be studied.
From a methodological perspective, the above research challenges will be tackled through a mix of theory, algorithm design, and analysis of experimental data, partly collected by the applicant and partly acquired through external collaborations with top-level research partners in Europe.
Responsibilities
Conduct in-depth research on EM wave progation in complex environmen.
Formulate the inversion problem to reconstruct environmental properties using received signals from a variety of EM wave sourcies located in different positions.
Propose and implement computationally efficient solution of the inverse problem.
Predict performance of a sensing system in such environment..
Collect experimenntal data to verify theoretical results and test algorithms on experimental data.
Contribute to the scientific community's knowledge through high-quality publications.
Collaborate with partner academic institutions and research organizations to stay connected with the latest developments and foster collaborative opportunities.
Prepare and defend the Ph.D. thesis, which summarizes the results of the research.
The Microwave Sensing, Signals and Systems (MS3) group is part of the Department of Microelectronics, within the Faculty of Electrical Engineering, Mathematics, and Computer Science (EEMCS). MS3 specializes in research and education at the cutting edge of microwave systems, focusing on both fundamental and applied research. Leveraging electromagnetics as a core foundation, MS3’s work spans applications in safety, environmental monitoring, automotive radar, and healthcare technologies. As part of MS3, you’ll collaborate within a multidisciplinary team of researchers, including highly regarded Professors in microwave and radar technology. MS3 Research Facilities include Europe-leading laboratories with sophisticated radar setups like the PARSAX and MESEWI systems, and state-of-the-art equipment for indoor and outdoor sensing experiments. This robust infrastructure enables students and researchers to pioneer solutions for real-world challenges in radar and microwave sensing.
Beyond technical training, MS3 encourages a collaborative research environment, promoting innovation in radar applications while fostering development through access to conferences and professional networking opportunities.
Job requirements
MSc degree in Electrical Engineering, Applied Physics, Microwave Engineering, or a related field.
Strong background in signal processing and wireless systems (telecom, radar)
Deep knowledge of electromagnetics is highly appreciated.
Programming experience in MATLAB, Python, or similar environments.
Previous experience in experimental research is an advantage.
Strong analytical, problem-solving, and communication skills.
Ability to work independently as well as in multidisciplinary research teams.
TU Delft (Delft University of Technology)
Working at TU Delft means contributing to solutions that really make a difference.
For over 180 years, we have been training engineers who make an impact worldwide in companies, government bodies, or as entrepreneurs. Our alumni turn knowledge into concrete solutions for the challenges of today and tomorrow. These challenges are changing rapidly. That is why we focus on themes such as energy, climate, digitalisation, artificial intelligence (AI), and smart mobility every day. Our education and research are directly aligned with what society needs now and in the future.
At TU Delft, our people make the difference. With their knowledge and curiosity, our staff provide a high-quality education and conduct pioneering research that extends beyond the campus. You will have the opportunity to take the initiative, work with others, and grow as a professional. Working at TU Delft means join an international community of professionals and students. Together, we create knowledge, innovations, and solutions that help move the world forward.
Faculty of Electrical Engineering, Mathematics and Computer Science
The Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) brings together three scientific disciplines. Combined, they reinforce each other and are the driving force behind the technology we all use in our daily lives. Technology such as the electricity grid, which our faculty is helping to make completely sustainable and future-proof. At the same time, we are developing the chips and sensors of the future, whilst also setting the foundations for the software technologies to run on this new generation of equipment – which of course includes AI. Meanwhile we are pushing the limits of applied mathematics, for example mapping out disease processes using single cell data, and using mathematics to simulate gigantic ash plumes after a volcanic eruption. In other words: there is plenty of room at the faculty for ground-breaking research. We educate innovative engineers and have excellent labs and facilities that underline our strong international position. In total, more than 1000 employees and 4,000 students work and study in this innovative environment.
, Mathematics and Computer Science.
Conditions of employment
Doctoral candidates will be offered a 4-year period of employment in principle, but in the form of 2 employment contracts. An initial 1,5 year contract with an official go/no go progress assessment within 15 months. Followed by an additional contract for the remaining 2,5 years assuming everything goes well and performance requirements are met.
Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities, increasing from €3059 - €3881 gross per month, from the first year to the fourth year based on a fulltime contract (38 hours), plus 8% holiday allowance and an end-of-year bonus of 8.3%.
As a PhD candidate you will be enrolled in the TU Delft Graduate School. The TU Delft Graduate School provides an inspiring research environment with an excellent team of supervisors, academic staff and a mentor. The Doctoral Education Programme is aimed at developing your transferable, discipline-related and research skills.
The TU Delft offers a customisable compensation package, discounts on health insurance, and a monthly work costs contribution. Flexible work schedules can be arranged.
Will you need to relocate to the Netherlands for this job? TU Delft is committed to make your move as smooth as possible! The HR unit, Coming to Delft Service, offers information on their website to help you prepare your relocation. In addition, Coming to Delft Service organises events to help you settle in the Netherlands, and expand your (social) network in Delft. A Dual Career Programme is available, to support your accompanying partner with their job search in the Netherlands.
Additional information
If you would like more information about this vacancy or the selection procedure, please contact Prof. Dr Alexander Yarovoy, Chairman of MS3, via
[email protected].
Application procedure
Are you interested in this vacancy? Please apply no later than 31 July 2026 upload the following documents:
CV
Motivational letter in which you describe your personal motivation and specific qualifications for this position (max 1 page)
Abstract of your MSc thesis
Copies of two journal/conference publications (if applicable)
You can address your application to Prof. Dr Alexander Yarovoy, Chairman of MS3.
Doing a PhD at TU Delft requires English proficiency at a certain level to ensure that the candidate is able to communicate and interact well, participate in English-taught Doctoral Education courses, and write scientific articles and a final thesis. For more details please check the Graduate Schools Admission Requirements.
Please note:
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.
Faculty/Department: Faculty of Electrical Engineering, Mathematics & Computer Science
Salary range: €3059 - €3881
Submission is possible until: 31 Jul 2026
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