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 on intelligent network slicing management in Beyond-5G/6G Networks

Summary of Doctoral Project:

Beyond-5G(B5G)/6G networks are expected to serve many applications (e.g., autonomous vehicles, remote surgery and digital twins) that pose stringent requirements on Telecommunications Network in terms of latency, data rates, reliability and availability. Thanks to the Network Slicing mechanism enabled by the network function virtualization (NFV) and Software Defined Networking (SDN) techniques, the B5G/6G networks exhibit immense potential for meeting these challenges posed by the stringent application requirements. In the last decade, there has been a significant progress in the area of network slicing for core networks and many new approaches/tools have been proposed.

Last Application Date: 22/06/2022

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2. PhD on designing energy interfaces in underprivileged neighbourhoods

Summary of Doctoral Project:

Research has shown that particularly in households with lower incomes and higher levels of unemployment, residents tend to resist retrofit measures. This can be partly ascribed to distrust of housing providers, but is likely to be also related to the ways in which the technologies are designed. It can be expected that mismatches between the assumptions behind energy relevant systems such as indoor climate control, kitchen appliances and energy interfaces, and the needs, expectations and practices of people in diverse, underprivileged neighbourhoods can be large and complex. Such mismatches lower or even counteract the effectiveness of retrofit measures, while opportunities that build on already existing strategies to save energy might be missed.

Last Application Date: 24/06/2022

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3. PhD Design & Analysis of Integrated Ultrasonic Atomizer production Metal Powder

Summary of Doctoral Project:

Additive manufacturing (AM) or 3D printing is a technique in which parts are produced by adding material. It allows for direct manufacturing of one of a kind, end-use parts with complex geometries directly from a digital building plan, in a cost and time efficient manner. In addition, AM has the ability to reduce the amount of waste, for example by reusing residual raw materials. One of the most advanced printing techniques for metals is powder bed-based printing, such as Laser Powder Bed Fusion (LPBF), where thin layers of micron-sized metal powder, with a thickness of 20-100 micron, are deposited in a build chamber and locally fused by a laser or an electron beam to create a solid part.

Last Application Date: 10/06/2022

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4. 2 PhD Student’s Plasma systems for CO2 capture and activation

Summary of Doctoral Project:

Worldwide greenhouse gas (GHG) emissions are continuing to grow, with an estimated increase of 60% as compared to 1990 and 1.3% per year on average since 2010. CO2 emissions from fossil fuels account for 38.8 Gt in 2019, 1.3 Gt more than 2018. A strong reduction of CO2 emissions has to be reached by 2030 in order to achieve the goal of a more limited rise in temperature of 2 °C. Energy supply, industry and transport are the key sectors to decarbonize, and solutions proposed to meet these targets must include carbon neutral fuels, power-to-fuels and carbon capture and utilization.

Last Application Date: 19/06/2022

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5. PhD position on hybrid data/ 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.

Last Application Date: 12/06/2022

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6. PhD in AI-driven calibration of Analog-to-Digital converters

Summary of Doctoral Project:

As a PhD researcher from the Integrated Circuits group, you will investigate a novel methodology to design and implement calibration techniques for Analog-to-Digital Converters with the aid of Machine Learning (ML). During your PhD you will first identify the root causes which limit ADC performance. Next you will investigate suitable ML algorithms to correct these errors, calibrate the ADC behavior and improve its performance. Finally, you will design a novel ADC with embedded ML calibration circuits, achieving beyond state-of-the-art performance.

Last Application Date: 26/06/2022

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7. PhD on Atomic layer deposition for Li-ion batteries

Summary of Doctoral Project:

We are looking for an experimentalist with knowledge and expertise in material science, thin film and surface characterization and gas phase deposition technologies, specifically atomic layer deposition. We have particular interest in someone who is motivated to tackle the material and interface challenges in the present Li-ion battery technologies, such as electrochemical/chemical instability of electrolyte/electrode interfaces, for example occurring when high-voltage cathodes are considered. As PhD candidate you will have the opportunity to focus on ALD high voltage cathodes such as spinel oxides and investigate how the chemical composition and crystallographic properties affect the interface with (liquid and solid) electrolytes. You will be also in charge of engineering strategies to deliver (electro-)chemical and mechanically stable electrode/electrolyte interfaces.

Last Application Date: 26/06/2022

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8. PhD in Biomedical Engineering

Summary of Doctoral Project:

The Eindhoven University of Technology (TU/e) is seeking a talented PhD candidate to develop an experimentally-informed and validated computational model of the role of mechanics in new blood vessel formation (angiogenesis). The computational model is expected to enable the design of new strategies to control angiogenesis, which will have wide implications in the fields of tissue engineering and regenerative medicine. Sprouting angiogenesis is the biological process leading to the formation of new blood vessels from pre-existing ones. Controlling angiogenesis is crucial for the treatment of several angiogenesis-related diseases, such as cancer, and the creation of functional tissue-engineered tissues. Unfortunately, translation of biological findings to applied settings has been hindered by unexpected in vivo responses to treatments. This highlights the complexity of angiogenesis, which responds to stimuli depending on small variations in the cell environment.

Last Application Date: 30/06/2022

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9. PhD in “Experiencing space: environmental psychology with a dash of big data”

Summary of Doctoral Project:

This project aims to address a fundamental question in the field of architecture and environmental psychology: is our emotional experience of indoor environments driven by the physical characteristics of the space or by the meaning we attribute to them? Our goal is to describe the impact of both physical features (for example, the presence of a window, scene brightness, symmetry) and meaning-related dimensions (for example, the possible activities that one could do in an environment, familiarity/novelty, whether one would be there alone or in the company of loved ones or strangers) on human emotional responses to indoor spaces. Imagine, for example, a living room and a hospital waiting room with similar furniture: would the presence of a window have the same effect on an occupants’ experience of each environment?

Last Application Date: 28/06/2022

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10. PhD student “Performance enhancement of packed-bed thermal storage”

Summary of Doctoral Project:

Industry accounts for 23% of greenhouse gas emissions globally (IPCC 2014). Many processes in chemical and manufacturing plants include thermally-driven batch steps. Thermal energy storage, packed bed technology in particular, has the potential to play an important role in making industrial processes more energy efficient and in reducing greenhouse gas emissions. Next to industrial environments, packed-bed storage can also be used to decouple supply and demand in systems relying on medium-temperature intermittent renewable energy sources, like concentrated solar thermal systems (CST).

Last Application Date: 30/06/2022

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11. PhD Student Sorption Enhanced Ammonia Production

Summary of Doctoral Project:

Hydrogen is an important factor in the EU quest to drastically reduce GHG emissions and curb its use of fossil fuels. The storage and transport of hydrogen, however, faces important challenges which hinder its broad application as an alternative and zero emission fuel. Storage of hydrogen as a gas typically requires high-pressure tanks (up to 700 bar tank pressure); storage of hydrogen as a liquid requires cryogenic temperatures because the boiling point of hydrogen at one atmosphere pressure is -253C. Therefore, for several applications, ammonia rises as a rather prominent vector if it can be produced efficiently. The production is traditionally bound by the constraints of thermodynamics, which require high synthesis pressures, as well as temperatures. Thus, NH3 is produced centralised/large-scaled.

Last Application Date: 30/06/2022

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12. PhD in Big data management

Summary of Doctoral Project:

The position will be with the Databases group of the TU Eindhoven, which is part of the cluster Data and Artificial Intelligence. You will join a vibrant team of 4 permanent researchers/academics and 8 PhD students and postdocs, and work in an exciting EU project with industry leaders and other top research institutes across Europe. You will participate in cutting-edge research, publish your work in leading conferences and journals for data management (SIGMOD, VLDB, TODS, TKDE), contribute in open-source tools, and collaborate with industry leaders to apply these tools in real world. You will travel to present your work, and to participate in meetings with world-class academics and industrial partners.

Last Application Date: 03/07/2022

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13. PhD position on Smart Manufacturing in Green Transportation

Summary of Doctoral Project:

The main goal of the project is to accelerate the transition to climate-neutral mobility, which promotes a circular economy and develops a strong, competitive manufacturing industry that contributes to the future earning capacity of the Netherlands. This will be achieved through activities in the development, production, and application of batteries and charging solutions in-house and R&D in the field of battery-electric transport, with an in-depth and multi-year cross-sectoral cooperation at the chain level. The activities within the GTD project are divided into tasks across the battery value chain and target multiple applications in the mobility sector (e.g., passenger cars, buses, trucks, trailers, boats, etc.). These tasks include product innovation through an improved battery management system and modular megawatt chargers, process innovation for production of battery modules and packages, system innovation by connecting charging needs with charging facilities in a smart energy system, and the circular design of the entire battery life cycle from design to recycling.

Last Application Date: 08/06/2022

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14. PhD in Warm Technology and Care Ethics

Summary of Doctoral Project:

The PhD research is on care between humans and artificial agents, e.g., chatbots, and how that can best scale up for the specific context of dementia care. The project thus investigates 1) relations of care, such as care-related roles that agents can take on, e.g., caring for people who have dementia and their caregivers; 2) conversational AI, i.e., designing targeted warm care agents in a scalable manner; 3) responsible engineering on the ethics of human-agent interactions concerning vulnerable groups.

Last Application Date: 14/06/2022

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15. Call for PhD student: Temporalities of More-than-Human Care

Summary of Doctoral Project:

With societal concerns related to sustainability and inclusivity, there is a need for alternative care relations beyond the dominant (often exploitative) relationship centered around human values and temporalities. Time as material for design, in relation to processes of aging and degradation, practices of repair, and more recently, characteristics of living materials all have been emphasized in design and HCI literature. However, time is often a taken-for-granted aspect of thriving with humans and nonhumans through care. The risk of not looking into the temporalities of more-than-human care is in overextending our (humans’) agency in the ecosystem which threatens the livelihoods of humans and nonhumans. This PhD project aims to investigate the temporalities of more-than-human care for designing with and/or living with living artifacts.

Last Application Date: 15/06/2022

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

Summary of Doctoral Project:

The lack of timely diagnosis and appropriate intervention threatens the preservation of built cultural heritage. For instance, modern concrete heritage is now reaching an age when deterioration and corrosion become significant. Reinforced concrete structures have started to be built in the Netherlands in the early 1900s. A large number of the surviving early 20th century structures are now listed monuments or well-known community landmarks. Structures build after World WII are now coming into attention, and facing challenges in terms of material damage. The most common damage types applicable are carbonation- and chloride-induced corrosion. Recent research has brought attention to the accelerated damage to built structures due to increased temperatures and relative humidities, increased CO2 levels, and more frequent drying and wetting cycles which induce salt damage.

Last Application Date: 30/06/2022

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17. Prestigious PhD Position on 5G-and-Beyond mm-Wave Exposure Reduction

Summary of Doctoral Project:

The ongoing introduction of new telecommunication technologies (5G and beyond) comes with changes in exposure patterns and of biological interaction with humans and ecosystems. ETAIN aims to assess the impact of existing and novel communication technology on planetary health. ETAIN will explore options for exposure reduction, and interact with the public and stakeholders about exposure levels and possible associated risks. Following a citizen science approach, an app will be developed that is able to quantify personal absorbed radio-frequency electromagnetic fields (RF-EMF). The app will allow to empower citizens to manage their own RF-EMF exposure. ETAIN will develop and validate network architecture approaches for an “ALARA (as low as reasonably acceptable) by design” approach.

Last Application Date: 19/06/2022

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18. PhD computational physical chemistry: modeling air-water interface

Summary of Doctoral Project:

In physics, “plasma” is a special excited gas, sometimes named “the fourth state of matter”, which is generated by supplying sufficient energy to the gas. Low temperature atmospheric pressure plasmas are specific types of plasmas which are typically generated by applying electromagnetic fields to matter, and they are therefore not in thermodynamic equilibrium. In many cases, average electron energy is significantly higher than the energy of heavy particles. This allows plasma sources to produce a chemically rich environment very close to room temperature; a condition which enables the delivery of reactive species in a non-destructive and beneficial way to different surfaces, even to extremely heat sensitive ones, such as organic tissues.

Last Application Date: 20/06/2022

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19. 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.

Last Application Date: 21/08/2022

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20. 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.

Last Application Date: 21/08/2022

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21. PhD in de novo design of ice-binding proteins

Summary of Doctoral Project:

Ice-binding proteins (IBPs) protect against freeze damage in polar regions by keeping the nucleation and growth of ice crystals in check. How this works exactly is not yet known. You will engineer IBPs de novo, express and study these to elucidate the relation between IBP structure and function and explore the application potential of IBPs as cryoprotectants. In this project you will combine computational tools for protein engineering (de novo protein design, folding) with biochemical and structural biology techniques (protein expression, structure elucidation, activity assays) to modulate independently the various hallmarks of IBP activity. These include the ability of your novel ice-binders to depress freezing, inhibit recrystallization, control nucleation, and shape ice crystals.

Last Application Date: 05/06/2022

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22. 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: 03/07/2022

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23. PhD Control Techniques for Active Filtering Power Electronics Applications (WBG)

Summary of Doctoral Project:

In the Power Electronics Lab (PEL/e) of the Electromechanics and Power Electronics (EPE) Group, we are looking for an outstanding PhD candidate to work on the application of Model Predictive Control (MPC) for SiC-based converter designs in Active Filtering applications. The research work will comprise the hardware design and implementation of a SiC-based converter prototype, investigating topological concepts and the associated control techniques that can provide versatile and robust control performance, low EMI and high power density. The research will be carried out in close collaboration with the R&D team of Hitachi Energy, High-Voltage Components Product Group.

Last Application Date: 10/06/2022

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24. PhD GaN-based Active Filter Design

Summary of Doctoral Project:

Are you interested in research that advances the use of Power Electronics in grid related applications and is accelerating the energy transition? Are you inspired by the challenge of scaling up in power the application of novel semiconductor technologies such as GaN? Are you eager to combine knowledge and research in materials, topologies and thermal management into a working prototype and prove your results? If yes, then look no further – this position will challenge you in every aspect.

Last Application Date: 10/06/2022

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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 in Macrophage Mechanobiology

Summary of Doctoral Project:

One of the key immune cells for this technology are macrophages, which are the gatekeepers for successful implant integration. One major neglected factor is how macrophages sense and respond to mechanical loads, or ‘macrophage mechanobiology’. Mechanical loads, such as cyclic stretch, are omnipresent in the human body, for example induced by breathing, the pulsatile blood pressure and musculoskeletal motion. So far, the dominant influence of mechanical loads on the macrophage response to a biomaterial when implanted has been poorly investigated, leading to potentially catastrophic implant failures. The main aim of your research will be to mechanistically unravel how macrophages respond to mechanical cues, in order to ultimately enable rational design of regenerative implants.

Last Application Date: NA

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2. PhD position on threat intelligence operationalization

Summary of Doctoral Project:

This position focuses on the enhancement of current threat intelligence and threat monitoring technologies. The goal of the position is to develop, test, and operationalize enhanced and extensible data models for threat intelligence to support monitoring and detection activities by including information on adversaries, attack procedures, and the information provided by the “Responsible Internet” model. This approach will require a multidisciplinary approach integrating a deep understanding of attacker operations and methods with technical solutions for data analysis and threat monitoring. These approaches will integrate methods from the domains of Natural Language Processing (NLP), and Artificial Intelligence and Machine Learning (AI/ML).

Last Application Date: NA

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3. PhD in de novo design of ice-binding proteins

Summary of Doctoral Project:

Ice-binding proteins (IBPs) protect against freeze damage in polar regions by keeping the nucleation and growth of ice crystals in check. How this works exactly is not yet known. You will engineer IBPs de novo, express and study these to elucidate the relation between IBP structure and function and explore the application potential of IBPs as cryoprotectants. In this project you will combine computational tools for protein engineering (de novo protein design, folding) with biochemical and structural biology techniques (protein expression, structure elucidation, activity assays) to modulate independently the various hallmarks of IBP activity.

Last Application Date: NA

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4. PhD: PISANO The first 100 nights of sleep apnea therapy

Summary of Doctoral Project:

Are you eager to work in a multidisciplinary team to improve sleep apnea treatment? The Biomedical Diagnostic (BM/d) Lab at the Eindhoven University of Technology (TUe, department of Electrical Engineering) is seeking two outstanding PHD candidates to work in close collaboration with the Máxima Medical Center, Center for Sleep Medicine Kempenhaeghe and Philips Research. Obstructive sleep apnea (OSA) is one of the most prevalent sleep disorders, with serious short- and long-term health consequences. The most common treatment of choice is continuous positive airway pressure (CPAP), which -when tolerated and used adequately- can significantly improve sleep quality, daytime symptoms, and cardiovascular health sequelae. However, in practice 40% to 80% of all CPAP patients become nonadherent to treatment.

Last Application Date: NA

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5. PhD Position on Bayesian Machine Learning for Audio Processing

Summary of Doctoral Project:

This research program is aimed at developing modern machine learning methods that lead to improved performance of audio processing algorithms (e.g., for hearing aids). In particular, our approach is to study computational models of learning and adaptation in brains and apply these ideas to the design of personalization of audio processing applications. Key areas of interest include Bayesian machine learning, probabilistic graphical models (factor graphs), blind source separation, computational neurosciences and signal processing. We develop our own toolbox (see http://forneylab.org) for Bayesian inference and learning, so you should have a strong interest and background in professional code development.

Last Application Date: NA

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7. PhD: Sustainable business model development for agroecological farming in Africa

Summary of Doctoral Project:

Today more than half of the planet’s inhabitants live in cities and urbanization is projected to increase further. The world-wide migration of rural people to cities is particularly prominent in West-Africa. This leads to increased practicing of peri-urban agriculture, generating opportunities like new jobs and increased income from food production, but also bringing problems arising from pressures towards intensification of farming with attendant environmental and human health risks.

Last Application Date: NA

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8. PhD position: Autonomous engineering systems and autonomous motion control

Summary of Doctoral Project:

Current and future developments in control systems, data science, and artificial intelligence are expected to create major breakthroughs in the role that engineering systems play in our society. Engineering autonomous systems, such as smart robots, manufacturing systems and autonomous vehicles, will lead to system capabilities that are beyond our current imagination. The development of autonomous and intelligent systems that are capable of learning to perform interactive decision-making tasks has necessitated the design of control systems and algorithms capable of autonomously achieving complex missions.

Last Application Date: NA

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9. PhD on How hydration transitions let a salt hydrate particle grow

Summary of Doctoral Project:

That salt hydrate particles irreversibly swell over multiple hydration/dehydration cycles is known. However, the physics of this process is poorly understood. This lack of understanding hampers the progress in finding solutions for this problem. It will be your task to elucidate the physical mechanisms of swelling via experimenting, to identify dopants and additives that reduce the swelling and if possible, to model the processes. In your work you will couple atomistic scale processes at crystal surfaces with potential consequences on the swelling behavior of millimeter sized salt particles. Techniques like EIS (Impedance Spectroscopy), TGA-DSC and NMR-relaxometry will be at the heart of your activities.

Last Application Date: NA

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10. PhD Position ‘3D Printing for Sustainable Structural Applications’

Summary of Doctoral Project:

The goal of this PhD research project is to explore structural design applications for large-scale 3D printing, by combining computational design tools and experimental validation. Throughout the entire design process, environmental considerations of digital design and manufacturing strategies will become key drivers for design development, for instance embodied CO2 emissions, material use, life cycle analysis, or potential re-use strategies. This will enable systematically mapping of structural design choices for 3D printing, by comparing structural performance and sustainability criteria, and finally demonstrate them on a real-life scale.

Last Application Date: NA

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11. PhD on Grid-Forming Control of Offshore Wind Farm

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: NA

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12. PhD on Multi-terminal Hybrid HVDC system

Summary of Doctoral Project:

This PhD position aims to develop the third innovation pillar of the FlexH2 project, .i.e, multi-terminal hybrid HVDC transmission system and its energy system integration. The traditional point-to-point (P2P) HVDC connection is capable of transmitting power generated by offshore wind to shore without technology challenges (e.g. charging current, and dynamic stability) typically faced by long HVAC connection. Despite superior technical capability for far-shore power transmission, P2P HVDC suffers from high cost because of the complex and heavy offshore platform (including converter station topside) compared to its HVAC counterpart.

Last Application Date: NA

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13. PhD in Material-Driven Tissue Engineering

Summary of Doctoral Project:

There is an increasing clinical demand for sophisticated medical implants and the scientific field of implant technology is exponentially growing. The main challenge is to harness the immune response to such an implant. In this research we use the immune response to our advantage, by using bioresorbable synthetic biomaterials that are gradually replaced by living tissue inside the body. Our research on this technology has, for example, led to the world’s first clinical trials using resorbable synthetic heart valves for children with congenital cardiac malformations.

Last Application Date: NA

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14. 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.

Last Application Date: NA

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15. PhD candidate in servitization for manufacturing firms

Summary of Doctoral Project:

The semiconductor industry has been suffering from supply shortages over the last few years. Increasing production capacity takes time due to the high capital investment required as well as the need to train additional workforce. As a result, there is a need to get more out of the existing production capacity. Semiconductor production processes are highly integrated and complex. Chip manufacturers will need to adopt strong orchestration platforms to promote horizontal integration across the supply chain.

Last Application Date: NA

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16. PhD on the thermodynamic modelling of complex colloidal mixtures

Summary of Doctoral Project:

We have an open PhD position (fully funded, four years) on biocompatible stimuli-responsive polymer/colloid mixtures at the Laboratory of Physical Chemistry of Eindhoven University of Technology, funded by the European Innovation Council (EIC) through a Pathfinder Open research grant. This grant was awarded to a research consortium composed of research groups from Eindhoven University of Technology (The Netherlands), The Adolphe Merkle Institute in Fribourg (Switzerland), University Paris-Saclay (France), and University of Rome “Tor Vergata” (Italy), which will work under the coordination of the “Veltha” association from Brussels (Belgium).

Last Application Date: NA

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17. PhD position on Engineering Brain-on-chip for AI computing

Summary of Doctoral Project:

To investigate the crosstalk between cells and computers, we will develop an interface, which facilitates the connection between a neural cell network and a machine learning algorithm. The announced PhD position here focuses on devising the hardware of a compartmentalized microfluidic chip on microelectrode arrays (MEAs). Specially designed MEAs will form the interface to the in-silico control agents for the purpose of building a hybrid AI computer. For this position, relevant background knowledge and hands-on skills on neural cell culture, integrated microfluidics, sensors & actuators (MEA technology), and fast and high-quality data acquisition systems is essential.

Last Application Date: NA

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18. PhD on Integration of Design and Control for Next Generation of Electrolyzers

Summary of Doctoral Project:

Replacement of fossil fuels directly with renewable energy sources such is essential in the decarbonization of our current economy. A significant part of our economy is the chemical industry which currently relies heavily on the use the fossil fuels as the main energy source. On the way to electrification of the chemical industry, an essential question to answer is how to design chemical plants so that they can operate according to the natural frequency of the renewables energy. To this end, FlexEchem project aims to study the design, control and operation technology for the electrochemical plant of the future that runs with high intensity current and is economically viable. More specifically, the project will develop a new integrated approach (integrated process design, control and operations) and a complete process system (reactor, sensors, actuators etc.) for the direct electrochemical conversion of CO2 to C2H4 under industrial conditions.

Last Application Date: NA

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19. PHD Position in Data-Driven Modelling of Cellular System Dynamics (1.0 fte)

Summary of Doctoral Project:

This PhD project aims to uniquely and comprehensively characterize the cell mechanobiology at the intra-, inter-cell, as well as cell-matrix levels by using existing state-of-the-art tools and by further developing the theory and the algorithms based on novel system identification and data-driven modelling approaches. The envisioned system identification framework is aimed to be developed for the investigation and exploitation of cellular system dynamics from a control systems perspective. A bottom-up approach will be followed, focusing on capturing (intra)cell-level dynamics before cell-to-cell and cell-to-matrix dynamic models are developed.

Last Application Date: NA

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20. PhD in Haptic Skins for Robot Touch Sensing

Summary of Doctoral Project:

Visual robot perception has grown tremendously in the last ten years. Artificial neural networks allow to reliably classify objects and segment structures from RGB images. Moreover, they allow for 3D pose estimation for robot navigation and manipulation in partially structured/unstructured environments. However, vision alone is not sufficient. Versatile interaction with unstructured environments requires a new generation of robots fully exploiting also touch and proprioception (perception of own movement and associated effort). Combining complementary touch and vision information leads to a better world interpretation. Touch sense enables the 3D modeling of unseen parts of the environment as well as object mass, inertia, and friction estimation.

Last Application Date: NA

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21. PhD on thermoplasmonic nanoparticles for single-molecule folding

Summary of Doctoral Project:

In our group we have developed single-particle plasmon sensors with single-molecule sensitivity based on plasmon-enhanced fluorescence. This project is part of the ERC Consolidator grant MultiSense, which aims to expand this toolbox by developing multi-color plasmon-enhanced sensors. The ultimate goal is to develop a platform that enables real-time studies of the interactions and dynamic cooperation between multiple (differently labelled) proteins. As a model system we will use chaperone proteins that are mediators of protein-folding and are therefore key players in neurodegenerative diseases that involve misfolding.

Last Application Date: NA

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22. PhD in Physicalisation for Human-AI Interaction

Summary of Doctoral Project:

This PhD research explores how novel forms of interactive visualization and physicalization concepts can be leveraged to democratize Human-AI interaction in an everyday context. The goal of this project is to establish a principled approach to operationalizing human-centered explainable AI into novel human-computer interaction concepts and interfaces aimed at non-expert users within three example case study domains: preventative healthcare, sustainability, or the future of work. The outcome is a set of new ideas, designs, concepts, methods, and technical prototypes that translate AI into meaningful experiences for end-users.

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23. PhD; Protein engineering of biomolecular nanoswitches for continuous biosensing

Summary of Doctoral Project:

The ability to continuously monitor biomolecular markers has the potential to revolutionise health care by allowing real-time monitoring of disease progression. Commercial sensors are available for continuous monitoring of glucose, but do not exist for other molecules that are important for monitoring disease status and treatment effect, including peptides, proteins, hormones, and drugs. The PhD student will use state-of-the-art protein engineering to develop protein-based ligand binding domains suitable for continuous biosensing. Novel approaches to engineer proteins with optimal binding properties for continuous sensing, including the important aspect of fast and reversible binding, will developed in close collaboration with the group of Sarel Fleishman (Weizmann Institute) using a combination of protein design and combinatorial approaches (e.g. yeast display).

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24. PhD on modelling room acoustics via the diffusion equation

Summary of Doctoral Project:

To avoid noise induced health effects indoors and to promote or limit indoor speech and music transmission, suitable room acoustic modelling methods are needed. The methods available to acoustic consultants via commercial software are limited and closed. In a project at TU/e, two complementary room acoustics modelling methods will be further developed and ecologically validated such that they become ready for consultancy practice. At the same time, research is conducted towards a sustainable software community around open source software, where scientists and practitioners meet to use and contribute to room acoustic prediction methods. The involvement of end users is crucial in this project.

Last Application Date: NA

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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.

Last Application Date: NA

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26. PhD in Intervertebral Disc Tissue Characterization during Adolescent Growth

Summary of Doctoral Project:

This vacancy is posted as part of an ERC Advanced Award, Adolescent Idiopathic Scoliosis (AIS): a Perfect Storm of Functional Anatomy, Biomechanics and Mechanobiology during Growth? (ScoliStorm). AIS is a 3D deformity of the spine affecting previously healthy children, substantially reducing their quality of life and creating a life-long burden of disease. Till now, no curative treatment exists partly because its cause and disease mechanism are still unknown. ScoliStorm will create a paradigm shift in AIS research by uncovering its complex perfect storm of anatomical, biomechanical and mechanobiological causes in the intervertebral disc.

Last Application Date: NA

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27. PhD positions on ultra-reliable intra-aircraft wireless communication

Summary of Doctoral Project:

One of the technologies for hybrid data distribution that RHIADA will investigate is ultra- reliable wireless communication. In the case of avionics, the most important advantages of wireless systems are weight reduction, resulting in less fuel consumption, flexibility, ease of layout, maintenance and modification. Despite their advantages, wireless technologies have been hardly adopted in aviation where most intra-aircraft connectivity relies on wired technologies. The use of wireless technologies is limited to in-flight online interconnectivity for passengers and in-flight entertainment. The main reason for this is that current wireless technologies are not able to provide the reliability, security, and guaranteed low-latency levels needed to effectively support the operation of the various aircraft applications.

Last Application Date: NA

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28. PhD student on polymer electrolyte fuel cell materials

Summary of Doctoral Project:

In this project you will synthesize and characterize new porous materials for low temperature fuel cells. You will employ electrochemical techniques, coatings methods, and porous material synthesis to fabricate new electrode concepts with improved performance and durability. You will deploy spectroscopic, microscopic, and in-operando electrochemical diagnostics to establish structure/composition – performance relationships. You will collaborate with other group members and several industrial and academic partners to bridge scales between fundamental materials science all the way to stack implementation. The main focus will be on understanding degradation modes and developing strategies to enhance materials durability to the stringent targets (ca. 30.000 hours).

Last Application Date: NA

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