PhD Position Multi-Band Fusion in JCAS

Job description

Next-generation cellular networks – including 6G and future Wi-Fi systems – will not only communicate but also sense their surroundings in a radar-like manner, an emerging paradigm known as Integrated Sensing and Communication (ISAC). Existing ISAC systems can perform target detection and parameter estimation, such as distance and moving velocity, and even target tracking and recognition.

However, by fully leveraging the ubiquity and spectral agility of communication networks, a finer-grained representation of the environment could be obtained through radio imaging, similar to spaceborne Synthetic Aperture Radar (SAR) systems. This would enable applications with significant social and environmental impact in healthcare, remote structural monitoring of buildings or bridges, landslide and flood prevention, among others.

This PhD project focuses on designing radio imaging algorithms exploiting the multiple disjoint frequency bands available in existing and future communication networks, which span from below GHz to millimeter-wave bands. Such frequency diversity will be leveraged as a means to obtain highly informative images of targets of interest, possibly combining physics and signal processing algorithms with deep learning methods to overcome the difficulty of exactly modeling multiband scattering phenomena.

The developed algorithms and methods will be targeted for applications with high societal impact, such as cm- and mm-level human motion sensing and remote environmental monitoring.

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 multiband integrated imaging and communications systems, staying abreast of the latest advancements and breakthroughs in the field.
• Design multiband radio imaging algorithms for communications systems, based on the integration of standard signal processing and deep learning.
• Analyze radio signal scattering from extended targets across wide frequency ranges.
• Design methods to predict the reflectivity of targets of interest in non-observed regions of space and spectrum.
• Design performance metrics to evaluate joint imaging and communication systems across multiple bands.
• 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)
• Knowledge of electromagnetics is highly appreciated.
• Programming experience in MATLAB, Python, or similar environments.
• Interest 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)
Delft University of Technology is built on strong foundations. As creators of the world-famous Dutch waterworks and pioneers in biotech, TU Delft is a top international university combining science, engineering and design. It delivers world class results in education, research and innovation to address challenges in the areas of energy, climate, mobility, health and digital society. For generations, our engineers have proven to be entrepreneurial problem-solvers, both in business and in a social context.

At TU Delft we embrace diversity as one of our core values and we actively engage to be a university where you feel at home and can flourish. We value different perspectives and qualities. We believe this makes our work more innovative, the TU Delft community more vibrant and the world more just. Together, we imagine, invent and create solutions using technology to have a positive impact on a global scale. That is why we invite you to apply. Your application will receive fair consideration.

Challenge. Change. Impact!

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.

Click here to go to the website of the Faculty of Electrical Engineering, Mathematics and Computer Science.

PhD Position Unconventional Phased Array Topologies

Job description

Future 6G wireless networks, satellite communications, and advanced radar platforms require antenna systems that simultaneously support wide bandwidths, large scan ranges, low power consumption, and high integration density. Conventional phased arrays face increasing challenges in scalability, efficiency, complexity, and cost, especially at millimeter-wave frequencies.

This PhD project explores unconventional antenna array topologies that combine sparse, clustered, and aperiodic phased-array feeds with lens-based electromagnetic structures. The intended scientific breakthrough is the development and experimental validation of novel hybrid array-lens topologies for next-generation wireless sensing and communication platforms.As a PhD candidate, you will investigate several innovative research directions, including:

• Element-level or subarray-level lens loading for hybrid radiation pattern synthesis.
• Sparse and aperiodic phased-array topologies integrated with electromagnetic lenses.
• Array-fed lens systems, including GRIN and other advanced lens architectures.
• Multifunctional and modular antenna concepts supporting communication and sensing.

While the primary focus is on millimeter-wave systems, concept validation and experimental prototyping at lower frequencies are also within scope. The research includes electromagnetic modeling, antenna synthesis, optimization, prototyping, and experimental validation using advanced measurement facilities and additive manufacturing technologies, including 3D-printing capabilities available through the Microelectronics department.

Microwave Sensing, Signals, and Systems

The Microwave Sensing, Signals and Systems (MS3) group is part of 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 wireless communications, safety, environmental monitoring, automotive radar and healthcare technologies. As part of MS3, you’ll collaborate within a multidisciplinary team of researcher, including high 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, and antenna measurements. 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 electromagnetics, antennas, and microwave engineering.
• Knowledge of phased arrays, antenna synthesis, or computational electromagnetics is highly appreciated.
• Experience with electromagnetic simulation tools (such as CST, HFSS, FEKO, or similar).
• Programming experience in MATLAB, Python, or similar environments.
• Interest in experimental prototyping and antenna measurements.
• Experience with additive manufacturing or RF hardware prototyping is a plus.
• Strong analytical, problem-solving, and communication skills.
• Ability to work independently as well as in multidisciplinary research teams.

TU Delft (Delft University of Technology)
Delft University of Technology is built on strong foundations. As creators of the world-famous Dutch waterworks and pioneers in biotech, TU Delft is a top international university combining science, engineering and design. It delivers world class results in education, research and innovation to address challenges in the areas of energy, climate, mobility, health and digital society. For generations, our engineers have proven to be entrepreneurial problem-solvers, both in business and in a social context.

At TU Delft we embrace diversity as one of our core values and we actively engage to be a university where you feel at home and can flourish. We value different perspectives and qualities. We believe this makes our work more innovative, the TU Delft community more vibrant and the world more just. Together, we imagine, invent and create solutions using technology to have a positive impact on a global scale. That is why we invite you to apply. Your application will receive fair consideration.

Challenge. Change. Impact!

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.

Click here to go to the website of the Faculty of Electrical Engineering, Mathematics and Computer Science.

PhD Position Mathematical Statistics

Job description

The goal of this position is to advance the state of the art and develop new theory and methodology for dependence models, in particular copula-based statistical models. Since the 1990s, copulas have become recognized as the main tool to model arbitrary dependence (not necessarily linear) between random variables, with applications in many quantitative fields, including finance and risk management, insurance, hydrology, and health.

This project consists of three main research directions. The first subproject is related with recent developments in the theory of conditional copulas and conditional dependence models. These are models that quantify the influence of a random vector X on the dependence between two random variables Y1 and Y2 of interest – or more. This has applications in particular in finance where some leading financial assets can influence the dependence between other assets. The goal is to recover the structure underlying a set of estimated conditional dependence functions, with a generalization towards conditional U-statistics.

The second subproject is to develop a theory of information geometry for copulas. Information geometry is a field at the interface between probability, statistics and geometry, and aims at getting geometrical information and structure on statistical problems, for example quantifying angles and directions in the space of probability measures – here in the space of copulas.

The third subproject is to integrate discrete random variables into the Pair-Copula Bayesian Networks (PCBNs) and develop structure learning algorithm. PCBNs models allow to decompose one difficult problem (the inference of a multivariate distribution/density) into smaller bivariate problems by using information on conditional independencies. Contrary to classical Gaussian Bayesian networks, the approach here relies on copulas with arbitrary margins.

These three projects are mostly independent and can be done in any order, also depending on the preferences of the successful candidate.

Job requirements

• You hold or will soon complete a MSc degree in Mathematical Statistics or equivalent.
• You have experience with programming in R. Experience with compiled languages such as C++ are a plus.
• You have high-level mathematical skills and are curious to invent new models and theories.
• You are fluent in English, both spoken and written.

TU Delft (Delft University of Technology)
Delft University of Technology is built on strong foundations. As creators of the world-famous Dutch waterworks and pioneers in biotech, TU Delft is a top international university combining science, engineering and design. It delivers world class results in education, research and innovation to address challenges in the areas of energy, climate, mobility, health and digital society. For generations, our engineers have proven to be entrepreneurial problem-solvers, both in business and in a social context.

At TU Delft we embrace diversity as one of our core values and we actively engage to be a university where you feel at home and can flourish. We value different perspectives and qualities. We believe this makes our work more innovative, the TU Delft community more vibrant and the world more just. Together, we imagine, invent and create solutions using technology to have a positive impact on a global scale. That is why we invite you to apply. Your application will receive fair consideration.

Challenge. Change. Impact!

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.

Click here to go to the website of the Faculty of Electrical Engineering, Mathematics and Computer Science.

Medewerker huishoudelijke dienst zwembaden

Dankzij jouw werk voelen bezoekers zich welkom en veilig. Jij zorgt er samen met collega’s voor dat de zwembaden fris en schoon zijn, zodat iedereen met plezier kan sporten en ontspannen.

Wat ga je doen?
Je maakt schoon in en rondom de zwembaden. Het is fysiek werk, maar je krijgt er een frisse en sportieve werkomgeving voor terug.

Je werkzaamheden zijn:

• vloeren en wanden schoonmaken;
• douches, kleedruimtes en toiletten schoonhouden;
• extra schoonmaakklussen uitvoeren;
• zorgen dat bezoekers een fijne ervaring hebben.

Waar kom je te werken?
Je gaat werken bij het Sportbedrijf van gemeente Tilburg op meerdere locaties in de stad. Je maakt deel uit van een team collega’s die samen zorgen dat alles er schoon en netjes uitziet.

Je werkdag start vaak vroeg: jij en je collega’s zorgen er dan voor dat het zwembad schoon en klaar is voor de eerste bezoekers. Maar het kan ook zijn dat je een late dienst draait, waarin je juist schoonmaakt als de bezoekers weer weg zijn. Zo draag jij op verschillende momenten van de dag bij aan een frisse en veilige sportomgeving.

Wat breng je mee?
Je hebt een positieve instelling en houdt van aanpakken. Je vindt het belangrijk dat bezoekers zich prettig voelen,
kunt goed samenwerken en voelt je verantwoordelijk voor een schone omgeving.

Daarnaast:

• heb je bij voorkeur ervaring met schoonmaakwerk;
• heb je een goede fysieke conditie, zodat je goed kunt werken in warme en vochtige ruimtes;
• beschik je over een goede beheersing van de Nederlandse taal;
• heb je een gastvrije houding en representatieve uitstraling;
• ben je zwemvaardig;
• heb je de flexibiliteit om op meerdere dagen en locaties in Tilburg te werken;
• en ben je minimaal 20 uur per week beschikbaar om te werken.

Wat krijg je ervoor terug?
De Gemeente Tilburg biedt een inspirerende werkomgeving waar diversiteit gewaardeerd wordt en authenticiteit gestimuleerd. Als onderdeel van een vooraanstaande overheidsorganisatie krijg je de kans om niet alleen bij te dragen aan Tilburg, maar ook aan je eigen groei dankzij ons uitgebreide aanbod aan trainingen via het Tilburgs Leerhuis.

Verder bieden wij je:

• De functie is ingeschaald in salaris Schaal 3 met aanloop Schaal 2. Op basis van een fulltime dienstverband is dit minimaal € 2.441- en maximaal € 3.215,- bruto per maand. Afhankelijk van jouw ervaring en huidige situatie doen we je een zo goed mogelijk voorstel binnen deze bandbreedte.
• Aantrekkelijke toeslagen voor het werken in de weekenden, oplopend tot 100% boven op je uurloon;
• 201,6 verlofuren en de mogelijkheid om max. 187 verlofuren bij te kopen (o.b.v. een fulltime dienstverband);
• Een individueel keuzebudget van 17,05% boven op je salaris. Dat je het gehele jaar door kunt inzetten voor bijvoorbeeld extra verlof, een extra uitbetaling, studie, vakantiegeld of de aanschaf van een (elektrische) fiets;
• Uitstekende pensioenopbouw bij ABP, waarvan de werkgever 70% betaalt, inclusief een solide extra vangnet bij overlijden en arbeidsongeschiktheid;
• Een werkgeversbijdrage in de kosten van de zorgverzekering;
• Korting op een arbeidsongeschiktheidsverzekering via Loyalis;
• Indien je momenteel in vaste dienst bent bij Gemeente Tilburg, blijf je in vaste dienst;
• Het betreft een tijdelijke functie voor de duur van 1 jaar;
• Een goede werk-privébalans met een werkweek van max. 36 uur;
• Reis je met openbaar vervoer? Jouw reiskosten worden dan volledig vergoed (2e klas).

Vragen?
De vacature staat open t/m 14 juni 2026, maar we gaan direct in gesprek met geschikte kandidaten. Als we onze nieuwe collega hebben gevonden, sluit de vacature dus mogelijk eerder. Reageer dus snel als je interesse hebt! Wil je eerst meer informatie over de functie? Neem dan contact op met Ellis Franken, teamleider zwembad Reeshof, via tel nr. 06-29648675. Vragen over de sollicitatieprocedure kun je mailen naar karen.horsten@tilburg.nl.

Overige info
Gemeente Tilburg wil een betrouwbare partner (werkgever) zijn voor inwoners en medewerkers. Daarom vragen we je om een geldige Verklaring Omtrent Gedrag (VOG) te overleggen als onderdeel van het proces om bij ons te komen werken.

Wil je meer weten over het speelveld van deze vacature? Kijk dan eens op onderstaande websites:

Sport in Tilburg
Werken bij Gemeente Tilburg
Onze arbeidsvoorwaarden
Meer over CAO-gemeenten

Aan de in deze vacature vermelde salarissen kunnen geen rechten worden ontleend.

Delen van de vacature mag, graag zelfs! Acquisitie wordt niet op prijs gesteld.