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

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 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.

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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).

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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).

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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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).

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