Postdoc Tx/Rx Isolation Measurements of FMCW radar using a reverberation chamber (TRIM)

Introduction
FMCW radar is key in automotive safety and increasingly important for security applications. For reliable performance it requires sufficient TX‑RX isolation. This project develops techniques for accurately measuring such isolation using a reverberation chamber, leveraging on the expertise on this area available at Antennex, a Dutch SME, and at TU/e.

Job Description
Continuous wave radar with frequency modulation (FMCW radar) has gained traction in automotive safety systems, such as adaptive cruise control and collision avoidance, and it is now a core sensor in self-driving cars. One of the key conditions for the proper functioning of an FMCW radar is guaranteeing sufficient isolation between the transmitting and receiving antenna. An accurate assessment of such isolation is thus of paramount importance in the radar design.

Reverberation chambers are a well-established testing approach both in the field of electromagnetic compatibility as well as for measuring integral radiation quantities of stand-alone antennas (antenna efficiency) and wireless devices (Total Radiated Power, Total Isotropic Sensitivity).

In addition to that, research on antenna radiation pattern measurements in reverberation chambers has started to draw attention. Most methods are based on the property that the line-of-sight component is constantly present in each of the measurements performed on the AUT, and that unwanted scattered components can be averaged out by randomizing the electromagnetic environment in a controllable manner.

Instead, measuring isolation between two arrays, or coupling between measurements inside an array is a completely unexplored area, which will require additional fundamental research.

Your objective in this research project is thus to develop a methodology for accurate and reliable measurement of coupling between antennas in reverberation chambers.

In this project you will cooperate with Robin Radar, a manufacturer of FMCW radar and potential end-user of the results, and with Antennex, a Dutch SME that develops reverberation chambers. Antennex has made fundamental extensions to measurement capabilities in reverberation chambers, for instance, noise figure, FMCW chirp quality and radiation pattern measurements. Enabling isolation measurements would offer a new use case for reverberation chambers, which might be more cost effective compared to the existing anechoic chamber approach.

Job Requirements

• Motivated researcher, with a PhD in Electrical Engineering research, or a comparable domain.
• Experience in the area of radio propagation and antennas, and specifically in antenna measurement techniques is an asset.
• Ability to conduct high quality academic research, reflected in demonstratable outputs.
• A team player who enjoys coaching PhD and Master's students and working in a dynamic, interdisciplinary team.
• A proven ability to manage complex projects to completion on schedule.
• Excellent (written and verbal) proficiency in English, good communication and leadership skills.

Conditions of Employment
A meaningful job in a dynamic and ambitious university, in an interdisciplinary setting and within an international network. You will work on a beautiful, green campus within walking distance of the central train station. In addition, we offer you:

• Full-time employment for 2 years.
• Salary in accordance with the Collective Labour Agreement for Dutch Universities, scale 10 (min. € 4,241 max. € 5,538).
• A year-end bonus of 8.3% and annual vacation pay of 8%.
• High-quality training programs on general skills, didactics and topics related to research and valorization.
• An excellent technical infrastructure, on-campus children's day care and sports facilities.
• Unlimited access to the modern on‑campus TU/e Student Sports Center at an exceptionally affordable rate.
• Partially paid parental leave and an allowance for commuting, working from home and internet costs.
• A TU/e Postdoc Association that helps you to build a stronger and broader academic and personal network, and offers tailored support, training and workshops.
• A Staff Immigration Team is available for international candidates, as are a tax compensation scheme (the 30% facility) and a compensation for moving expenses.

On our website you can discover even more information about our conditions of employment. Build on your career at TU/e!

About us
We are a leading international university where scientific curiosity meets a hands-on mindset. We work in an open and collaborative way with high-tech industries to tackle complex societal challenges. Our responsible and respectful approach ensures impact — today and in the future. TU/e is home to over 13,000 students and more than 7,000 staff, forming a diverse and vibrant academic community.

Our university is located in Brainport Eindhoven — a world‑leading tech region with more than 7,000 high‑tech companies and strong R&D activity. Known for breakthroughs in AI, photonics, semiconductors and advanced manufacturing, Brainport is a place where technology serves people and society. Learn more about the Brainport region here.

The mission of the Department of Electrical Engineering is to acquire, share and transfer knowledge and understanding in the whole field of Electrical Engineering through education, research and valorization. We work towards a ‘Smart Sustainable Society’, a ‘Connected World’, and a healthy humanity (‘Care & Cure’). Activities share an application-oriented character, a high degree of complexity and a large synergy between multiple facets of the field.

Research is carried out into the applications of electromagnetic phenomena in all forms of energy conversion, telecommunication and electrical signal processing. Existing and new electrical components and systems are analyzed, designed and built. The Electrical Engineering department takes its inspiration from contacts with high-tech industry in the direct surrounding region and beyond.

The department is innovative and has international ambitions and partnerships. The result is a challenging and inspiring setting in which socially relevant issues are addressed.

Information
Do you recognize yourself in this profile and would you like to know more? Please contact: Stefania Monni, Professor of Array Antenna Technologies for future radar systems, s.monni@tue.nl.

Visit our website for more information about the application process. You can also contact: Kevin Caris, HR-Advisor, Human Resources, k.t.caris@tue.nl.

Are you inspired and would like to know more about working at TU/e? Please visit our career page.

Application
We invite you to submit a complete application using the apply-button. The application should include a:

• Cover letter in which you describe your motivation and qualifications for the position.
• Curriculum vitae, including a list of your publications and the contact information of three references. Kindly note that we may reach out to references at any stage of the recruitment process. We recommend notifying your references upon submitting your application.
• List of up to five self-selected ‘best publications’.

Ensure that you submit all the requested application documents. Please note that incomplete applications may not be considered and could be rejected.

We look forward to receiving your application and will screen it as soon as possible. The vacancy will remain open until the position is filled.

Please note

• You can apply online. We will not process applications sent by email and/or post.
• A pre-employment screening (e.g. knowledge security check) can be part of the selection procedure. For more information on the knowledge security check, please consult the National Knowledge Security Guidelines.
• Please do not contact us for unsolicited services.

Postdoc Tx/Rx Isolation Measurements of FMCW radar using a reverberation chamber (TRIM)

Continuous wave radar with frequency modulation (FMCW radar) has gained traction in automotive safety systems, such as adaptive cruise control and collision avoidance, and it is now a core sensor in self-driving cars. One of the key conditions for the proper functioning of an FMCW radar is guaranteeing sufficient isolation between the transmitting and receiving antenna. An accurate assessment of such isolation is thus of paramount importance in the radar design.

Reverberation chambers are a well-established testing approach both in the field of electromagnetic compatibility as well as for measuring integral radiation quantities of stand-alone antennas (antenna efficiency) and wireless devices (Total Radiated Power, Total Isotropic Sensitivity).

In addition to that, research on antenna radiation pattern measurements in reverberation chambers has started to draw attention. Most methods are based on the property that the line-of-sight component is constantly present in each of the measurements performed on the AUT, and that unwanted scattered components can be averaged out by randomizing the electromagnetic environment in a controllable manner.

Instead, measuring isolation between two arrays, or coupling between measurements inside an array is a completely unexplored area, which will require additional fundamental research.

Your objective in this research project is thus to develop a methodology for accurate and reliable measurement of coupling between antennas in reverberation chambers.

In this project you will cooperate with Robin Radar, a manufacturer of FMCW radar and potential end-user of the results, and with Antennex, a Dutch SME that develops reverberation chambers. Antennex has made fundamental extensions to measurement capabilities in reverberation chambers, for instance, noise figure, FMCW chirp quality and radiation pattern measurements. Enabling isolation measurements would offer a new use case for reverberation chambers, which might be more cost effective compared to the existing anechoic chamber approach.

PhD in Simulation-integrated strategy for polymers in integrated circuit packaging

Introduction
The research project will be performed in the Soft Matter Rheology and Technology (SMaRT) section in the Chemical Engineering Department at KU Leuven and the Processing and Performance of Materials (P&P) section in the Mechanical Engineering Department at TU Eindhoven under the joint supervision of Profs. Lambèrt van Breemen and Ruth Cardinaels. The research in the SMaRT section is mostly of experimental nature and aims at designing methodologies for intelligent process or product (formulation) design using so-called “complex fluids” or “soft matter”. Extensive state-of-the-art and home-built experimental facilities for the characterization of rheological properties, combined with various techniques to characterize microstructure development during flow are available. Dielectric and electromagnetic properties can be characterized in the low frequency as well as high frequency region. The research in the P&P section aims to enable a transition from experimental trial-and-error to quantitative predictive capability for the processing of polymer-based materials. Experimental characterization facilities range from rheology, over structure and thermal characterization to mechanics. Moreover, cutting-edge in-house developed numerical tools are integrated in the research. Industrial-level insights on semiconductor manufacturing and material development will be available via collaboration with IMEC, a world-leading R&D and innovation hub in nanoelectronics and digital technologies, based in Leuven.

SMaRT website: SMaRT (kuleuven.be)

P&P website: Processing and Performance

Job Description
Polymer-based integrated circuit (IC) packaging and polymer redistribution layers (PRLs) are indispensable for the long-term functioning of microchips sustaining variable thermal and mechanical stresses, while ensuring electrical connectivity to the circuit board and shielding unwanted interfering signals. Due to the increasing design complexity and miniaturization of microchips, dimensional accuracy and defect-free moulding and patterning have become critical requirements. However, differences in thermal expansion coefficients, processing-induced shrinkage and mechanical stresses can cause warpage, delamination and failure. To improve the polymer material formulation, as well as the processing steps and geometric microchip design with the aim of creating robust, defect-free IC packaging and PRLs, a simulation-integrated toolbox will be developed and used. Based on small-scale experimental characterizations of mechanical, dielectric and electromagnetic properties, analytical models for the prediction of the intrinsic material behaviour will be set up. Subsequently, these models will be implemented within a simulation framework, allowing to perform finite element-based predictions of the material response on the microchip level. Finally, this framework will then be leveraged for a case study on enhanced chip development, focusing on the one hand on optimal mechanical robustness and shape stability during thermal cycling and on the other hand on the integration of electromagnetic shielding functionality in an IC packaging.

Job Requirements

• You are recently graduated or will soon graduate with a master’s degree in materials science engineering, mechanical engineering, or a related discipline.
• You have excellent analytical skills, high grades and you are a creative and critical thinker.
• You are highly motivated to start your career in research and to pursue a PhD degree during a four-year research period.
• You have a strong experimental background in characterization and structure analysis of polymer-based materials and/or a strong background in numerical modeling and/or computational physics/mechanics, candidates with a combined expertise will have priority.
• You have enthusiasm and aptitude for combining experimentation and numerical modelling.
• You are able to report your progress in an accurate and timely fashion.
• You have excellent communication skills, with fluency in both written and spoken English. (C1 level)
• You are willing to integrate in both research groups and to spend half of the research time at each university.
• You are motivated to develop your teaching skills and coach students.

Conditions of Employment
A meaningful job in a dynamic and ambitious university, in an interdisciplinary setting and within an international network. You will work on a beautiful, green campus within walking distance of the central train station. In addition, we offer you:

• Full-time employment for four years, with an intermediate assessment after nine months. You will spend a minimum of 10% of your four-year employment on teaching tasks, with a maximum of 15% per year of your employment.
• Salary and benefits (such as a pension scheme, paid pregnancy and maternity leave, partially paid parental leave) in accordance with the Collective Labour Agreement for Dutch Universities, scale P (min. € 3,059 - max. € 3,881).
• A year-end bonus of 8.3% and annual vacation pay of 8%.
• High-quality training programs and other support to grow into a self-aware, autonomous scientific researcher. At TU/e we challenge you to take charge of your own learning process.
• An excellent technical infrastructure, on-campus children's day care and sports facilities.
• Unlimited access to the modern on‑campus TU/e Student Sports Center at an exceptionally affordable rate.
• An allowance for commuting, working from home and internet costs.
• A Staff Immigration Team and a tax compensation scheme (the 30% facility) for international candidates.

On our website you can discover even more information about our conditions of employment. Build on your career at TU/e!

About us
We are a leading international university where scientific curiosity meets a hands-on mindset. We work in an open and collaborative way with high-tech industries to tackle complex societal challenges. Our responsible and respectful approach ensures impact — today and in the future. TU/e is home to over 13,000 students and more than 7,000 staff, forming a diverse and vibrant academic community.

Our university is located in Brainport Eindhoven — a world‑leading tech region with more than 7,000 high‑tech companies and strong R&D activity. Known for breakthroughs in AI, photonics, semiconductors and advanced manufacturing, Brainport is a place where technology serves people and society. Learn more about the Brainport region here.

The Department of Mechanical Engineering department conducts world-class research aligned with the technological interests of the high-tech industry in the Netherlands, with a focus on the Brainport region. Our goal is to produce engineers who are both scientifically educated and application-driven by providing a balanced education and research program that combines fundamental and application aspects. We equip our graduates with practical and theoretical expertise, preparing them optimally for future challenges.

Information
Do you recognize yourself in this profile and would you like to know more? Please contact the hiring managers Lambèrt van Breemen, l.c.a.v.breemen@tue.nl or Ruth Cardinaels via Ruth.Cardinaels@kuleuven.be.

Visit our website for more information about the application process. You can also contact HR Services, hrservices.me@tue.nl.

Curious to hear more about what it’s like as a PhD candidate at TU/e? Please view the video.

Are you inspired and would like to know more about working at TU/e? Please visit our career page.

Application
You can apply for this job no later than 30 June 2026.
Since this is a joint PhD within the KU Leuven - TU Eindhoven Global PhD Partnership Program, please also apply to the corresponding vacancy at KU Leuven to be considered. We look forward to your application and will screen it as soon as we have received it. Screening will continue until the position has been filled.

We invite you to submit a complete application by using the apply button. The application should include a:

• Cover letter in which you describe your motivation and qualifications for the position.
• Curriculum vitae, including a list of your publications and the contact information of three references. Kindly note that we may reach out to references at any stage of the recruitment process. We recommend notifying your references upon submitting your application.

Ensure that you submit all the requested application documents. Please note that incomplete applications may not be considered and could be rejected.

We look forward to receiving your application and will screen it as soon as possible. The vacancy will remain open until the position is filled.

Please note

• You can apply online. We will not process applications sent by email and/or post.
• A pre-employment screening (e.g. knowledge security check) can be part of the selection procedure. For more information on the knowledge security check, please consult the National Knowledge Security Guidelines.
• Please do not contact us for unsolicited services.

PhD in Simulation-integrated strategy for polymers in integrated circuit packaging

Polymer-based integrated circuit (IC) packaging and polymer redistribution layers (PRLs) are indispensable for the long-term functioning of microchips sustaining variable thermal and mechanical stresses, while ensuring electrical connectivity to the circuit board and shielding unwanted interfering signals. Due to the increasing design complexity and miniaturization of microchips, dimensional accuracy and defect-free moulding and patterning have become critical requirements. However, differences in thermal expansion coefficients, processing-induced shrinkage and mechanical stresses can cause warpage, delamination and failure. To improve the polymer material formulation, as well as the processing steps and geometric microchip design with the aim of creating robust, defect-free IC packaging and PRLs, a simulation-integrated toolbox will be developed and used. Based on small-scale experimental characterizations of mechanical, dielectric and electromagnetic properties, analytical models for the prediction of the intrinsic material behaviour will be set up. Subsequently, these models will be implemented within a simulation framework, allowing to perform finite element-based predictions of the material response on the microchip level. Finally, this framework will then be leveraged for a case study on enhanced chip development, focusing on the one hand on optimal mechanical robustness and shape stability during thermal cycling and on the other hand on the integration of electromagnetic shielding functionality in an IC packaging.

Assistant Professors in Language and AI Engineering

You will join the Department of Mathematics and Computer Science (M&CS). With over 140 (assistant, associate and full) professors, almost 250 PhD and EngD students, nearly 3000 students, M&CS is the largest department of the TU/e. By performing top-level fundamental and applied research, and maintaining strong ties with industry, M&CS aims to contribute to science and innovation in and beyond the region.

This position is embedded in the Data & AI (DAI) cluster within the Data Science Domain (DS). DS brings together the Visualization, Process Analytics, and Data & AI clusters and aims to empower a data-driven society through research and education in data science, contributing to effective, robust, and responsible data-driven solutions for societal challenges. Within DS, DAI focuses on the foundations of data and AI systems for the present and the future. Researchers in DAI develop new methods, algorithms, and tools that expand the reach, reliability, and generalization capabilities of data systems and AI.

Language and AI Engineering is an important area for DAI and DS. It connects the technical foundations of language, cognition, and AI with the development of responsible, trustworthy, and human-centered AI systems. This position offers the opportunity to contribute to the further strengthening of this area within the cluster and domain, while building meaningful connections to education, collaboration, and societal impact.

To strengthen our research and education position in this important field, we are seeking two Assistant Professors in Language and AI Engineering. This is a vital area for further advancing the strategic vision of the Data Science Domain. We are seeking a pioneering and collaborative scholar to join our team, explore the frontiers of, and teach a new generation about language and artificial intelligence. This position focuses on the complex and fascinating intersection of AI, language, cognition, multimodality, human-AI interaction, and the development of interpretable, trustworthy AI systems. You investigate not just what AI models (e.g., foundation models) can do in the context of language, cognition, and interaction, but how they do it, and inform the design of the next generation of models. Your work contributes to creating AI that supports people in complex tasks and be deployed responsibly in society. You will develop your research profile in this area and publish your findings in leading academic conferences and journals, contributing to the broader scientific community.

Your research is focused on:

• AI, Language, and Cognition: Conduct fundamental research into the relationship between language and cognitive capabilities and large-scale AI models. Explore core areas such as memory, reasoning, and the nature of machine "understanding." Investigate what separates genuine machine understanding and reasoning from blind optimization of benchmark performance.

In combination with one or more of the following areas:

• Multimodal Interaction: Research and develop AI systems that interact through diverse modalities, including vision (images, video), language, and physical interfaces (e.g., robotics).
• Human-AI Collaboration: Design and study models for effective human-AI partnerships. Focus on complex collaborative tasks that require joint reasoning and consensus-making.
• Enhancing AI Interpretability and Safety: Develop novel techniques to understand the internal workings of AI models. Identify, analyze, and mitigate potential biases, fairness issues, and other safety risks to build more trustworthy systems.
• Societal Impact: Study the application and implications of advanced AI in critical societal contexts, such as legal systems, engineering, and scientific discovery, with a focus on reliability and trustworthiness.

You are expected to develop a strong and recognizable research profile in one or more of these areas, actively contribute to meaningful collaborations within and beyond TU/e, and help further strengthen this field in both research and education.

In this role, you will contribute to the ambition of the Beethoven program to educate top talent and strengthen research across the fields of Science, Technology, Engineering, and Mathematics (STEM).