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 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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
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
