48 Fully Funded PhD Programs at Eindhoven University of Technology, Netherlands

  • Post last modified:July 27, 2022
  • Reading time:45 mins read

Are you holding Master’s degree and looking for PhD positions – Fully Funded PhD Programs in Europe? Eindhoven University of Technology, Netherlands inviting application for funded PhD Programs or fully funded PhD Scholarship. Eindhoven University of Technology is one of the largest university in the world with thousands of employees, students, and research scientists are involved in the innovation of science and technology daily.

Eindhoven University of Technology has huge a campus in Netherlands and widely known as for its contribution in top notch education and research. The contribution of Eindhoven University of Technology is not only limited to natural sciences and engineering but it also offers high quality research as well as higher education in bio-medical sciences, social sciences, humanities, psychology, education, architecture etc.

1. PhD ANTERRA project: Integrated Photonic-RF Front-End

Summary of Doctoral Project:

Our society is on the brink of a new age with the development of new visionary concepts such as internet of things, smart cities, autonomous driving, smart mobility, and coverage everywhere. This stimulates the use of new deployment concepts, such as extreme densification or Non-Terrestrial Networks (NTN), to support the wireless communication evolution. For 6G, a key use case which stands unaddressed by prior telecommunication generations, is that of coverage everywhere. One of the major reasons for not addressing this use case thus far is the lack of expertise about non-terrestrial communication in the classical (terrestrial) telecommunication industry. The European research project ANTERRA addresses this issue by training 15 PhD students on antenna systems for NTN, one of the key aspects to successfully implement coverage everywhere.

Last Application Date: 31/08/2022

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2. PhD ANTERRA project: Dynamic high-pathloss doppler-enabled OtA emulator

Summary of Doctoral Project:

In ANTERRA, the research fellows will investigate particular aspects of the system concept. For this, they will take a system view by investigating architectural needs and constraints from which they will develop novel multi-functional high-gain antenna architectures that exhibit a large coverage. Moreover, innovations in energy efficient highly integrated radio front-ends is a key enabler towards more efficient, high performance radio-access hardware for satellite nodes. Research in novel synchronization and beam-finding techniques will lead to stable integration of all network nodes into one global 6G NTN. All concepts will be optimized to meet the requirements of NTN antenna systems. This vacancy concerns the PhD position on a Dynamic high-pathloss doppler-enabled OtA emulator. System test solutions that include the antenna interface do not readily exist. Therefore, this project aims at developing a measurement solution to realistically emulate highly dynamic scenarios for communications.

Last Application Date: 31/08/2022

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3. PhD on Signal Processing for Non-Terrestrial Wireless Networks (ANTERRA)

Summary of Doctoral Project:

In ANTERRA, the research fellows will investigate particular aspects of the system concept. For this, they will take a system view by investigating architectural needs and constraints from which they will develop novel multi-functional high-gain antenna architectures that exhibit a large coverage. Moreover, innovations in energy efficient highly integrated radio front-ends is a key enabler towards more efficient, high performance radio-access hardware for satellite nodes. Research in novel synchronization and beam-finding techniques will lead to stable integration of all network nodes into one global 6G NTN. All concepts will be optimized to meet the requirements of NTN antenna systems. This vacancy concerns the PhD position on Beam prediction for fast moving LEO. Both downlink and uplink beamforming will be necessary to overcome channel path loss. In the downlink, handovers between beams will occur frequently, while in the uplink the beams (which are narrow due to the link budget from power-limited ground terminals) must track the fast satellite accurately.

Last Application Date: 15/09/2022

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4. PhD Candidate on “SMEAR – Design of a Soft-Material-Exploring Autonomous Robot”

Summary of Doctoral Project:

State-of-the-art machines to manipulate soft matter —materials that behave as soft solids or liquids, depending on the level of force applied to them, such as sunscreen gels, clay, mayonnaise, tomato sauce— are preprogrammed to execute the same motion endlessly. By itself, the machine has no intelligence, no perception that a soft material must be manipulated, nor can autonomously adapt its plans to change the shape of the material. The intelligence is currently placed in the mind of the developer(s) who built the system and told it how to move. The SMEAR project aims at bringing part of this intelligence and autonomy in manipulating soft matter into the machine, by integrating and improving the latest available perception technologies in the domain of computer vision and artificial intelligence (AI) with “traditional” state-of-the-art model-based engineering techniques, with the goal of designing a prototype robotic system for autonomous manipulation of soft matter.

Last Application Date: 26/08/2022

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5. PhD on integrated data and knowledge driven modeling of high-dimensional data

Summary of Doctoral Project:

Data driven modeling is widely used for optimizing modern digital systems, addressing our inability to model these systems from first principles due to their complexity and the high dimensional data they generate. However, the data driven models often contain millions of parameters, making it difficult to understand their behavior and to trust their output. Moreover, they require large amounts of labeled data, which is not always available. There are data driven approaches targeting these challenges (e.g. surrogate modeling or unsupervised learning), but they are often limited in their application. Knowledge driven approaches, on the other hand, are often explainable and can leverage expert knowledge to deal with few labeled samples, but struggle with noisy and high dimensional data. We are looking for candidates that would like to explore integrating data driven with knowledge driven modeling to provide trustworthy modeling of high dimensional data.

Last Application Date: 04/09/2022

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6. PhD position in Advanced Modelling of Intelligent Electricity Systems

Summary of Doctoral Project:

The envisioned research is part of the research program Intelligent Energy Systems (IES) performed within the Electrical Energy Systems (EES) group of TU/e. Within the IES program, research is conducted into operation and planning of future sustainable energy systems, with an emphasis on electricity systems, markets and systems integration. This research is performed in two research labs: the Digital power and energy systems lab (EES DigiPES lab) and the Electricity markets and power system optimization lab (EES EMPDO lab). The former focuses on intelligent energy network research, including: demand management and flexibility, digital twinning, data analytics, smart grid ICT architectures and systems integration in multi energy systems. The latter specializes in electricity market design (centralized & decentralized), market products & system services to integrate new technologies, forecasting, market participation strategies and risk management, large-scale, distributed, multi-objective optimization techniques applied to energy markets and power systems and AI for optimization and control in power and energy systems. The EES group has strong ties with industry both nationally and internationally, with several part-time industry researchers working in the group and a large group of strategic collaboration partners.

Last Application Date: 05/09/2022

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7. PhD in data-sharing & edge computing technology for Intelligent Power

Summary of Doctoral Project:

The envisioned research is part of the research program Intelligent Energy Systems (IES) performed within the Electrical Energy Systems (EES) group of TU/e. Within the IES program, research is conducted into operation and planning of future sustainable energy systems, with an emphasis on electricity systems, markets and systems integration. This research is performed in two research labs: the Digital power and energy systems lab (EES DigiPES lab) and the Electricity markets and power system optimization lab (EES EMPDO lab). The former focuses on intelligent energy network research, including: demand management and flexibility, digital twinning, data analytics, smart grid ICT architectures and systems integration in multi energy systems. The latter specializes in electricity market design (centralized & decentralized), market products & system services to integrate new technologies, forecasting, market participation strategies and risk management, large-scale, distributed, multi-objective optimization techniques applied to energy markets and power systems and AI for optimization and control in power and energy systems. The EES group has strong ties with industry both nationally and internationally, with several part-time industry researchers working in the group and a large group of strategic collaboration partners.

Last Application Date: 05/09/2022

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8. PhD position Physics of fluids jetting

Summary of Doctoral Project:

In piezo-acoustic ink-jet print heads, a voltage pulse, applied to the piezoelectric element, induces a deformation of the print head channel creating a pressure wave in the ink, ultimately responsible for the ejection of ink droplets out of the nozzle [1]. Given the extreme accuracy achieved by modern inkjet printers, technological advancement requires a thorough physical understanding of the droplet generation mechanisms and of the subsequent droplet formation process. This project will investigate key physical aspects beyond the formation of inkjet droplets and the influence of physical effects that may interfere with this process [2]. The project will be conducted in close collaboration with Canon Production Printing Netherlands B.V. and in the framework of a larger network of PhD students investigating -with different techniques- several aspects at the basis of ink-jet printing technologies.

Last Application Date: 01/09/2022

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9. PhD studentship on nanophotonic lab-on-fiber sensing

Summary of Doctoral Project:

Optical fibers carry optical signals over large distances and are widely used for communications. They are also increasingly used for sensing, as they allow gathering information from environments which are far or hard to reach (from arteries to dikes). Fiber sensors are compact, minimally-invasive and potentially inexpensive. However, the applications have so far mostly be limited to temperature and pressure/strain sensing. By building a sensor on the tip of the fiber and properly functionalizing it, it is in principle possible to sense all physical, chemical and biological properties of the environment, turning the fiber into a powerful sensing instrument. This “lab-on-fiber” technology has so far been hampered by the difficulty of realizing the sensors on the tiny fiber tips. Our group has recently demonstrated a method to fabricate sensors and photonic circuits on a semiconductor wafer and transfer them to a fiber tip. This allows harnessing the power of integrated photonics to build complex sensing structures on fiber tips and opens the way to a new generation of fiber sensors.

Last Application Date: 21/08/2022

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10. 2 PhDs positions in behavioral autonomy for medical robots

Summary of Doctoral Project:

Eindhoven University of Technology (TU/e; website) in collaboration with Philips Image Guided Therapy is looking for two PhD candidates to join the AMBER project: AdvanceMents in Behavioral Autonomy for mEdical Robots. In this project we want to devise and experimentally validate novel navigation and control approaches for a system of medical robots in order to increase their level of autonomy and accuracy with respect to task execution. The type of tasks targeted by the project is in the domain of image guided therapy interventions. The first PhD student will focus on motion control of a system of robotic manipulators with high accuracy and replicability requirements. The second PhD student will focus on the degree of autonomy of the system, in particular, on obstacle avoidance. The research will be conducted on an experimental set-up already available at the robotics lab of the university. The PhD students will be responsible for supervising bachelor and master students who will transfer their generic results to the hardware set-up of the partner company. The candidates will contribute to the robotics scientific research at a fundamental/theoretical level as well as at the experimental level.

Last Application Date: 15/09/2022

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11. Two PhD on Materials Modelling for Making Perfect Halide Perovskites

Summary of Doctoral Project:

Halide perovskites, a novel class of semiconductors, caused a stir in the field of optoelectronics because of their exceptional performance in efficient and low-cost solar cells. They are typically synthesized via a facile solution-based process, offering wide tunability in compositions and dimensions. However, the very properties that render them so attractive also make controlling the microstructure and the quality of the films challenging. More importantly, the stability issues, the major obstacle for large-scale deployment, are highly sensitive to the atomistic details of the microstructure. To tackle this challenge, we are looking for two PhD candidates, who will focus on the development of a bottom-up multiscale computational framework that combines atomistic quantum mechanical calculations, reactive molecular simulations and advanced rare event algorithms. This new approach will allow full spatiotemporal understanding of each step during perovskite nucleation and crystal growth. The research effort will contribute to perfecting perovskites by designing processing parameters and thereby speeding up their large-scale applications.

Last Application Date: 31/08/2022

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12. PhD student on synthesis of battery electrodes

Summary of Doctoral Project:

In this project, the PhD student will work on developing new porous electrodes by using polymer phase separation. The researcher shall develop a deep understanding of polymer dynamics and phase separation thermodynamics to be able to predict the resulting polymer structures and their relationship to the final battery performance. Our ultimate goal is to build an experimental pipeline, supported by theory, to synthesize porous electrodes with controlled three-dimension structures and composition for metal-air redox flow batteries. This multidisciplinary project will leverage principles of polymer chemistry and physics, electrochemical engineering, and transport phenomena.

Last Application Date: 23/08/2022

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13. PhD on Hardware design of RDC for EV fast-charging station (E2GO DC1)

Summary of Doctoral Project:

The E2GO consortium contains Eindhoven University of Technology, Delta Electronics (Poland) Ltd., Heliox BV, University of Minho, Efacec Electric Mobility SA, Aalborg University, Silicon Austria Labs GMBH, Infineon Technologies Austria AG, Shell Global Solutions International BV, Kema Lab BV, University of Innsbruck, which brings together the stakeholders that cover the complete value chain of high-power fast-charging stations for EV creating an in-depth training programme that covers the spectrum from hardware design and electronics, to modelling and control algorithms. The multidisciplinary and intersectoral collaboration described here provides the unique opportunity to achieve the ambitious goal of E2GO to develop innovations to reduce the cost of fast-charging stations for electric vehicles (EVs) for massive deployment. Hence the DCs involved in this project will not only be highly sought-after individuals due to their gained experience at the interface of industrial and academic collaboration, but additionally they will be highly attractive for the automotive industry as experts in the strongly growing field of fast-charging, a frontier research area that will help to address the infrastructural needs and sustainability goals of the 21st century. This constellation will significantly further their individual career paths in industry and academia.

Last Application Date: 28/09/2022

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14. PhD on Control and protection of RDC for EV fast-charging station (E2GO DC2)

Summary of Doctoral Project:

“E2GO– Cost-reduction of EV fast-charging station to enable large-scale electrification of mobility” is hiring 9 Doctorate Candidates (DCs)” to be funded by the Marie Skłodowska-Curie Actions (MSCA) Doctoral Networks-Industrial Doctorates (DN-ID), 2021, within the European Union’s EU Framework Programme for Research and Innovation Europe Horizon under Grant Agreement No. 101072414. The E2GO consortium contains Eindhoven University of Technology, Delta Electronics (Poland) Ltd., Heliox BV, University of Minho, Efacec Electric Mobility SA, Aalborg University, Silicon Austria Labs GMBH, Infineon Technologies Austria AG, Shell Global Solutions International BV, Kema Lab BV, University of Innsbruck, which brings together the stakeholders that cover the complete value chain of high-power fast-charging stations for EV creating an in-depth training programme that covers the spectrum from hardware design and electronics, to modelling and control algorithms. The multidisciplinary and intersectoral collaboration described here provides the unique opportunity to achieve the ambitious goal of E2GO to develop innovations to reduce the cost of fast-charging stations for electric vehicles (EVs) for massive deployment.

Last Application Date: 28/09/2022

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15. Prestigious PhD (#PhD4) in mm-wave Electromagnetic Compatibility & Coexistence

Summary of Doctoral Project:

The project InnoStar will close the research and development gap on millimetre-wave (mmWave) technology and methodologies for operating at >100 GHz up to 300 GHz – much higher than today’s state-of-the-art – and for sophisticated, high-performance applications at lower frequencies. By advancing fundamental technologies in semiconductors, antennas and system design, InnoStar will enable numerous critical next-generation applications in wireless communication (e.g., 5G/6G), automotive safety (e.g., autonomous driving, radar sensors), medical devices (e.g., wearable sensors, implanted devices), to support a sustainable society and the EU’s industrial leadership. InnoStar will target innovations in new types of antennas, IC modules and systems to overcome today’s limitations at frequencies >100 GHz and high-performance applications at lower frequencies. InnoStar has assembled a highly sophisticated project consortium with partners from Canada, Germany, Netherlands, and Sweden, including world leaders in mmWave technology, NXP, Infineon, Ericsson, to achieve this goal.

Last Application Date: 14/08/2022

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16. ANTERRA PhD on Maximally sparse 3D antenna arrays LEO Satellite communications

Summary of Doctoral Project:

Our society is on the brink of a new age with the development of new visionary concepts such as internet of things, smart cities, autonomous driving, smart mobility, and coverage everywhere. This stimulates the use of new deployment concepts, such as extreme densification or Non-Terrestrial Networks (NTN), to support the wireless communication evolution. For 6G, a key use case which stands unaddressed by prior telecommunication generations, is that of coverage everywhere. One of the major reasons for not addressing this use case thus far is the lack of expertise about non-terrestrial communication in the classical (terrestrial) telecommunication industry. The European research project ANTERRA addresses this issue by training 15 PhD students on antenna systems for NTN, one of the key aspects to successfully implement coverage everywhere.

Last Application Date: 15/09/2022

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17. Fully-funded 4-year PhD researchers and 1-3 years postdoctoral researchers

Summary of Doctoral Project:

Fully-funded 4-year PhD researchers and 1-3 years postdoctoral researchers in the broad area of mathematical system theory, control engineering, process control, (mechatronic) system design, identification, optimization, learning The positions can be either related to fundamental research or applied research. In the latter case, several already established connections with industrial partners exist, and application domains include the following: high-tech systems, mechatronics, robotics for care and cure, automated vehicles and mobility, energy systems (including nuclear fusion, solar fuels, plasma control), large-scale infrastructures (locks, tunnels, bridges), electric driving and flying, precision agriculture. The positions are aimed at top talents in our domain, both nationally and internationally. The selection procedure is based on excellence. The selection and interview will be done on the initiative of the PIs of the CST section, depending on a preselection and match between research interest (please provide a motivation letter and indicate explicitly which top 3 areas have your interest ordered by importance, it is recommended to check the research lines and groups of the mentioned contact persons).

Last Application Date: 14/08/2022

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18. PhD on “Modelling and multiscale design of active mechanical metamater

Summary of Doctoral Project:

We are looking for a highly creative and motivated PhD candidate to join Mechanics of Materials section at Eindhoven University of Technology (TU/e). The position is in the group of prof. Marc G.D. Geers, and will be co-supervised by Ron H.J. Peerlings and Ondrej Rokos. Context. Metamaterials owe their name to unprecedented effective behavior that typically cannot be found in natural materials, such as being ultra-stiff & ultra-light, having auxetic behavior, or negative compressibility. Such behavior typically emerges from metamaterials’ micro-structural morphology rather than from the properties of individual material constituents. Recent trends in metamaterial design aim at their actuation, using, e.g., discrete mechanical, pneumatic, thermal, chemical, or electromagnetic actuation. Metamaterials thus offer a significant design space, which can be exploited in numerous engineering applications such as artificial muscles, medical robotics including minimum invasive surgery, bio-implants, soft robotics, or self-folding systems.

Last Application Date: 15/08/2022

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19. PhD and Postdoctoral fellow positions for advanced materials for soft robotics

Summary of Doctoral Project:

Soft robotics is a relatively new subfield of robotics that deals with constructing robotic functions from compliant materials. Soft technologies and integrated soft systems can revolutionize the use of robotic devices, for instance in applications where elastic versatility and safe human/machine interactions are needed. It is predicted, and certainly has the potential, to lead to the development of radically new generations of machines. The examples are numerous. In the medical world, they will increasingly assist surgery, in-vivo therapeutic treatments or contribute to the rehabilitation of disabilities by exoskeletons. Soft robotic functions have the perspective to enhance the communication between man and machine or between machines mutually. We foresee that we can make materials that can feel, sense, behave and act as human skins, but with enhanced sensitivity and accuracy. They can be used as stand-alone and autonomous devices, but also be applied as coating or integrated with electronics or even with biological material to perform functions not accessible otherwise. And as a long-term perspective one can foresee the development of evolutionary self-developing soft robotics following nature’s approach to intelligent soft machines.

Last Application Date: 31/08/2022

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20. ANTERRA PhD Satellite front-end system for non-terrestrial 6G

Summary of Doctoral Project:

Our society is on the brink of a new age with the development of new visionary concepts such as internet of things, smart cities, autonomous driving, smart mobility, and coverage everywhere. This stimulates the use of new deployment concepts, such as extreme densification or Non-Terrestrial Networks (NTN), to support the wireless communication evolution. For 6G, a key use case which stands unaddressed by prior telecommunication generations, is that of coverage everywhere. One of the major reasons for not addressing this use case thus far is the lack of expertise about non-terrestrial communication in the classical (terrestrial) telecommunication industry. The European research project ANTERRA addresses this issue by training 15 PhD students on antenna systems for NTN, one of the key aspects to successfully implement coverage everywhere.

Last Application Date: 31/08/2022

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21. ANTERRA PhD on Integrated HPA-antenna co-design at Ka-band

Summary of Doctoral Project:

In ANTERRA, the research fellows will investigate particular aspects of the system concept. For this, they will take a system view by investigating architectural needs and constraints from which they will develop novel multi-functional high-gain antenna architectures that exhibit a large coverage. Moreover, innovations in energy efficient highly integrated radio front-ends is a key enabler towards more efficient, high performance radio-access hardware for satellite nodes. Research in novel synchronization and beam-finding techniques will lead to stable integration of all network nodes into one global 6G NTN. All concepts will be optimized to meet the requirements of NTN antenna systems. This vacancy concerns the PhD position on Integrated HPA-antenna co-design at Ka-band. This project aims at the design of a high efficiency and compact front-end radiating module for Ka-band flat panel antennas. The thickness, the mass and the cost of the front-end radiating modules shall be significantly reduced while keeping a high level of performance. This shall be achieved through the co-design between the radiating elements and the amplifiers. Circular polarisation will be addressed.

Last Application Date: 31/08/2022

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22. PhD in Quantum Simulation Experiments with Trapped ions and ultracold atoms

Summary of Doctoral Project:

Interacting (many-body) systems are ubiquitous in Nature, yet the universality in their building blocks enables us to simulate and study them using scale models in the laboratory. Trapped ions and ultracold neutral quantum gases are among the key platforms that facilitate this analog quantum simulation. However, to fully benefit from combining these fields and creating a hybrid ion-atom system, it is essential to understand, characterize, and control the interactions between the atoms and ions. Our experiments focus on this exploration and on using this knowledge to enhance our understanding of quantum chemistry, cold molecules, impurity physics, and quantum simulation of many-body systems. Hybrid ion-atom systems benefit both from the spatial localization and addressability of the ions as well as the long coherence times and scalability of the atoms. In this PhD project, you will work in an AMO laboratory and build a new experimental setup that combines trapped ions with ultracold atoms. The goal is to study the interactions between a trapped ion impurity and an ultracold gas of atoms. The work will involve designing the ultra-high vacuum setup, setting up optics, lasers and electronics as well as, programming, scientific reporting and data measuring and analysis. You will work in an international team with one other PhD Students and the principal investigator.

Last Application Date: 01/09/2022

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23. PhD ANTERRA project: Integrated filtering antenna array solutions for SatCom

Summary of Doctoral Project:

This vacancy concerns the PhD position on Integrated filtering antenna array solutions for SatCom. The main objective of this project is to develop innovative integrated filtering antenna array solutions for beyond-5G satellite communications. The project focus is on integration of pre-selection filtering and hybrid dielectric resonator antennas in multi-layered manufacturing and/or innovative packaging technology. Several filtering antenna architectures, manufacturing technologies and integration solutions with the IC shall be assessed and a novel filtering antenna topology shall be developed and extended to an array solution.

Last Application Date: 31/08/2022

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24. PhD in Biomaterial-cell interaction mediated control over cell physiology

Summary of Doctoral Project:

Within the framework of the Materials Driven Regeneration program, the candidate will work in the lab of Prof. Jan de Boer (www.jandeboerlab.com) on the molecular mechanism by which biomaterials control the phenotype of the cells which are in contact with them. The emphasis will be on the role of integrin-mediated signaling in the phenotypic control of fibroblasts and macrophages in the control of the foreign body response. The research use selected materials from the MDR consortium and apply high content imaging, transcriptomics and experimental cell biology to acquire data and uses data mining and computational modeling to analyze it. The PhD candidate is expected to do scientific research in the field described above, write a doctoral thesis, and publish research results in scientific journals. An educational and professional development program is offered to all PhD candidates. You will also be involved in teaching courses offered by the group, as well as contribute to the supervision of bachelor and master students.

Last Application Date: 14/09/2022

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25. PhD on Multiband Low Latency Optical Networks Node and Techniques

Summary of Doctoral Project:

The H2020 5G PPP project B5G-OPEN targets the design, prototyping and demonstration of a novel end-to-end integrated packet-optical transport architecture based on MultiBand (MB) optical transmission and switching networks. MB expands the available capacity of optical fibres, by enabling transmission within S, E, and O bands, in addition to commercial C and/or C+L bands, which translates into a potential 10x capacity increase and low-latency for services beyond 5G. To realize multiband networks, technology advances are required, both in data, control and management planes. Concerning devices, these include new amplifiers, filterless subsystems, add/drop multiplexers, etc. Such technology advances complement novel packet-optical white boxes using flexible sliceable Bandwidth Variable Transceivers and novel pluggable optics. The availability of MB transmission will also lead to a complete redesign of the end-to-end architecture, removing boundaries between network domains and reducing electronic intermediate terminations.

Last Application Date: 21/08/2022

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26. PhD on AI-based CS for Next Generation High Capacity Photonic Networks

Summary of Doctoral Project:

The PhD project is in collaboration with KPN as part of the strategic co-operation between KPN and TU/e, TU/e-KPN flagship. The PhD project aims at investigating and demonstrating an AI-based automatic control of next generation photonics networks to support heterogeneous traffic growth from Mobile Access Network (5G and beyond) connected to Datacenters and edge computing nodes. The massive 5G cell deployments, datacenters, and edge computing nodes as well as novel applications with different requirements in terms of connectivity, latency and reliability is forcing operators such as KPN to deploy a large amount of networks elements and IT resources. Control and manage of such massive network elements and IT resources deployed in photonic networks becomes crucial to optimize and adapt those massive resources and match the heterogenous applications with different requirements as well as minimize their energy consumption. This will demand for novel low latency and scalable control systems. Autonomous operations and zero-touch networking are expected to enable a cost-effective and sustainable rapid photonic network growth.

Last Application Date: 21/08/2022

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27. PhD on Multi-terminal Hybrid HVDC system

Summary of Doctoral Project:

The Shell-led research project FlexH2, which stands for Flexible Offshore Wind Hydrogen Power Plant Module, intends to develop and demonstrate technology that will accelerate the scale-up of offshore wind, green hydrogen production and its integration in the energy system. Through this grant, the government is contributing 4 million euros, the partners are investing about 5 million euros in the project. The research project is to start on April 1st 2022 and will last four years. FlexH2 is based on three key technological innovation pillars: (1) a grid-forming offshore wind farm, (2) a high-performance AC/DC solid-state transformer for large-scale electrolysers, and (3) a multi-terminal hybrid HVDC transmission system and its energy system integration. The project will determine the optimal design and operational solutions for these pillars. FlexH2 will also demonstrate the feasibility and inter-operability of these key technologies at a medium voltage level, which is crucial to boost the confidence of the FlexH2 concept for application in commercial projects.

Last Application Date: 14/08/2022

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28. PhD positions on Seamless design of Smart Edge Processors

Summary of Doctoral Project:

With the rise of deep learning (DL), our world braces for Artificial Intelligence (AI) in every edge device, creating an urgent need for Edge-AI processing hardware. Unlike existing solutions, this hardware needs to support high throughput, reliable, and secure AI processing at ultra-low power (ULP), combined with a very short time to market. With its strong legacy in edge solutions and open processing platforms, the EU is ideally positioned to become the leader in this edge-AI market. However, certain roadblocks keep the EU from assuming this leadership role: Edge processors need to become 100x more energy efficient; Their complexity demands automated design with 10x design-time reduction; They must be secure and reliable to get accepted; Finally, they should be flexible and powerful to support the rapidly evolving DL domain.

Last Application Date: 31/07/2022

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29. PhD position on Machine Learning assisted calibration for data converters

Summary of Doctoral Project:

As a PhD candidate in the Integrated Circuits group, you will investigate a novel methodology to design and implement self-calibration techniques for data converters with the aid of Machine Learning (ML). During your PhD you will first identify the root causes (from a circuit perspective) responsible for data converter performance reduction due to operation in non-typical conditions or to aging effects. Next you will investigate suitable ML algorithms to periodically calibrate the data converter behavior and recover its nominal performance level. Finally, you will design a novel data converter embedding a ML-based self-calibration circuit on hardware, achieving state-of-the-art performance. Architectural, ML algorithmic and transistor-level design approaches will be considered in this challenging exploration.

Last Application Date: 21/08/2022

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30. PhD Position: Built cultural heritage: from diagnosis to intervention

Summary of Doctoral Project:

This project aims to combine the know-how of the Building Materials Group in terms of innovative characterization and modelling techniques with non-invasive testing and proposing and evaluating acceptable intervention methods for damage repair of heritage buildings and structures that maintain the richness of their authenticity. The Building Materials group contains 25 PhDs, 2 postdocs, 3 assistant professors, 1 associate professor and 2 full professors. The BM group works on new, sustainable building materials containing or synthesized from secondary raw materials with good chemical, physical and aesthetic properties and added functionalities. Examples are natural fibers, fly ashes, nano-silica, aerogels, slags or recycled aggregates. Functionalities, including fire resistance, air purification, self-cleaning, high performance, hydrophobicity, are investigated and developed for these building materials. Moreover, durability and sustainability, such as the degradation of, or leaching from, building materials when exposed to aggressive service environments, is studied. The investigations are carried out based on experimental observations and modelling.

Last Application Date: 31/07/2022

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31. PhD on Oxygen production by plasma for cleaning works of art

Summary of Doctoral Project:

As a part of a European initiative including musea and research institutes and in collaboration with Gent University, we are starting a project on the generation of atomic oxygen species by non-thermal atmospheric pressure plasmas, meant for application in cleaning works of art. The project will focus on the development of the plasma source and its characterization in view of electrical properties, O atom production, electron properties and similar. The project will involve using spectroscopic methods and detailed analyses of the results. It will be performed at TU/e under joint supervision with Gent University.

Last Application Date: 31/08/2022

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32. 12 MSCA PhDs – DN PARASOL on Electromagnetic Shielding Solutions for Mobility

Summary of Doctoral Project:

We are hiring 12 Doctoral Researchers for our MSCA Doctoral Network PARASOL! We will address the complete lifecycle of electromagnetic shielding solutions for vehicles (car, plane, train and ship). The consortium groups 6 hiring Universities: TU Eindhoven (NL), University of Twente (NL), KU Leuven (BE), Tomáš Baťa University (CZ), University of York (UK) and Universitat Politècnica de Catalunya (ES). Together, these universities have a proven track record in the management of Electromagnetic Interference (EMI), Material Engineering, Sustainability Management, and System-Safety Engineering, and are the leaders in their field in Europe. 16 Industrial Partners are completing the Doctoral Network, and representing the complete life cycle of (future) shielding solutions dedicated to Mobility: starting with development of Innovative Material (DSM, Dycomet), design and packaging of Integrated Chips and Power Switches (NXP, CITC, Dynex), Interconnects and Cables design (Ferristorm, Radiotechnika, Schlegel) and, to ensure completeness of the traning program, all means of transport with cars (Jaguar-Land-Rover, Ford, Lotus), trains (Siemens), planes (NLR, Evektor) and ships (Thales).

Last Application Date: 30/09/2022

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33. MSCA DN PARASOL – DR2 – Novel in-situ EM characterization for filled-plastic

Summary of Doctoral Project:

Do you want to become a researcher who will develop new characterization technique for innovative and sustainable material? You could make a step change in improving the electromagnetic shielding of future vehicles. Designing Safe-and-Sustainable-by-Design Electromagnetic shielding solutions for our future mobility is urgently needed. We propose you to join a long-lasting multidisciplinary, academic-industrial network for doctoral training, with leading European industries and academia. The Marie-Skłodowska-Curie Doctoral Network (DN) “PARASOL – European Doctoral Network for Safe and Sustainable ElectroMagnetic Shielding Solutions for Mobility” has a consortium formed by 6 hiring Universities: TU Eindhoven (NL), University of Twente (NL), KU Leuven (BE), Tomáš Baťa University (CZ), University of York (UK) and Universitat Politècnica de Catalunya (ES). Together, these universities have a proven track record in the management of Electromagnetic Interference (EMI), Material Engineering, Sustainability Management, and System-Safety Engineering, and are the leaders in their field in Europe.

Last Application Date: 30/09/2022

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34. MSCA DN PARASOL – DR8 – Broadband Charac. EM Screening Effectiveness of Cables

Summary of Doctoral Project:

Do you want to become a researcher who will develop new metrology testbench and analyze the screening effectiveness of cables bundles on board future vehicles? You can make a step change in designing Safe-and-Sustainable-by-Design Electromagnetic cable (bundles) for our future mobility. It is urgently needed. We propose you to join a long-lasting multidisciplinary, academic-industrial network for doctoral training, with leading European industries and academia. The Marie-Skłodowska-Curie Doctoral Network (DN) “PARASOL – European Doctoral Network for Safe and Sustainable ElectroMagnetic Shielding Solutions for Mobility” has a consortium formed by 6 hiring Universities: TU Eindhoven (NL), University of Twente (NL), KU Leuven (BE), Tomáš Baťa University (CZ), University of York (UK) and Universitat Politècnica de Catalunya (ES). Together, these universities have a proven track record in the management of Electromagnetic Interference (EMI), Material Engineering, Sustainability Management, and System-Safety Engineering, and are the leaders in their field in Europe. 16 Industrial Partners are completing the Doctoral Network, and representing the complete life cycle of (future) shielding solutions dedicated to Mobility: starting with development of Innovative Material (DSM, Dycomet), design and packaging of Integrated Chips and Power Switches (NXP, CITC, Dynex), Interconnects and Cables design (Ferristorm, Radiotechnika, Schlegel) and, to ensure completeness of the traning program, all means of transport with cars (Jaguar-Land-Rover, Ford, Lotus), trains (Siemens), planes (NLR, Evektor) and ships (Thales).

Last Application Date: 30/09/2022

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35. PhD on Medium voltage SST for direct MV grid connection (E2GO DC3)

Summary of Doctoral Project:

“E2GO– Cost-reduction of EV fast-charging station to enable large-scale electrification of mobility” is hiring 9 Doctorate Candidates (DCs)” to be funded by the Marie Skłodowska-Curie Actions (MSCA) Doctoral Networks-Industrial Doctorates (DN-ID), 2021, within the European Union’s EU Framework Programme for Research and Innovation Europe Horizon under Grant Agreement No. 101072414. The E2GO consortium contains Eindhoven University of Technology, Delta Electronics (Poland) Ltd., Heliox BV, University of Minho, Efacec Electric Mobility SA, Aalborg University, Silicon Austria Labs GMBH, Infineon Technologies Austria AG, Shell Global Solutions International BV, Kema Lab BV, University of Innsbruck, which brings together the stakeholders that cover the complete value chain of high-power fast-charging stations for EV creating an in-depth training programme that covers the spectrum from hardware design and electronics, to modelling and control algorithms. The multidisciplinary and intersectoral collaboration described here provides the unique opportunity to achieve the ambitious goal of E2GO to develop innovations to reduce the cost of fast-charging stations for electric vehicles (EVs) for massive deployment. Hence the DCs involved in this project will not only be highly sought-after individuals due to their gained experience at the interface of industrial and academic collaboration, but additionally they will be highly attractive for the automotive industry as experts in the strongly growing field of fast-charging, a frontier research area that will help to address the infrastructural needs and sustainability goals of the 21st century. This constellation will significantly further their individual career paths in industry and academia.

Last Application Date: 28/09/2022

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36. PhD on Galvanic isolation for multi-port EV fast-charging station (E2GO DC4)

Summary of Doctoral Project:

“E2GO– Cost-reduction of EV fast-charging station to enable large-scale electrification of mobility” is hiring 9 Doctorate Candidates (DCs)” to be funded by the Marie Skłodowska-Curie Actions (MSCA) Doctoral Networks-Industrial Doctorates (DN-ID), 2021, within the European Union’s EU Framework Programme for Research and Innovation Europe Horizon under Grant Agreement No. 101072414. The E2GO consortium contains Eindhoven University of Technology, Delta Electronics (Poland) Ltd., Heliox BV, University of Minho, Efacec Electric Mobility SA, Aalborg University, Silicon Austria Labs GMBH, Infineon Technologies Austria AG, Shell Global Solutions International BV, Kema Lab BV, University of Innsbruck, which brings together the stakeholders that cover the complete value chain of high-power fast-charging stations for EV creating an in-depth training programme that covers the spectrum from hardware design and electronics, to modelling and control algorithms. The multidisciplinary and intersectoral collaboration described here provides the unique opportunity to achieve the ambitious goal of E2GO to develop innovations to reduce the cost of fast-charging stations for electric vehicles (EVs) for massive deployment. Hence the DCs involved in this project will not only be highly sought-after individuals due to their gained experience at the interface of industrial and academic collaboration, but additionally they will be highly attractive for the automotive industry as experts in the strongly growing field of fast-charging, a frontier research area that will help to address the infrastructural needs and sustainability goals of the 21st century. This constellation will significantly further their individual career paths in industry and academia.

Last Application Date: 28/09/2022

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