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

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Are you holding Master’s degree and looking for fully funded PhD positions? Eindhoven University of Technology, Netherlands invites online application for multiple funded PhD Programs / fully funded PhD positions in various research areas.

Candidates interested in fully funded PhD positions can check the details and may apply as soon as possible. Interested and eligible applicants may submit their online application for PhD programs via the University’s Online Application Portal. 

1. Fully Funded PhD Position in Physics of fluids jetting

Summary of PhD Program:

The selected candidate will perform numerical and theoretical research in order to investigate the fundamental physics beyond the dynamics of droplets formation in ink-jet print-heads. He/she will employ, extend and optimize existing numerical codes in order to perform high-fidelity, fully-3d numerical simulations of droplet jetting, will develop new codes to analyse the data produced, will develop novel, or improve upon existing, theoretical model also on the basis of the numerical investigations. The numerical methods that will be employed will include fully parallelized multiphase Lattice Boltzmann codes, developed in our group [3], as well as open-source codes based on volume of fluid method, like e.g. Gerris or Basilisk.

Application Deadline: 30/10/2023

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2. Fully Funded PhD Position in experimental investigation of flash-back in laminar hydrogen flames

Summary of PhD Program:

We are interested in studying hydrogen flash-back, fundamentally as well as in practical applications. Studies on hydrogen flash-back have been performed in the past, and in this project we want to improve and extend the current knowledge base. Specifically, we would like to investigate hydrogen flame quenching and flash-back on heated burners. The goal is two-fold: one the one hand we would like to create a deeper insight into the physics of hydrogen flash-back and quenching and propose correlations for industry, and on the other hand we would like to investigate novel measurement techniques that can be used in the industry to study and monitor hydrogen flames. We expect that Machine Learning will play an important part in the analysis and post-processing of the data.

Application Deadline: 05/10/2023

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3. 02 Fully Funded PhD Position in UFI-NMR of complex fluids in stratified porous layers

Summary of PhD Program:

The aim of this project is to study the ingress of complex fluids (inspired by water-based inks) into thin stratified porous media (modified paper sheets) and the resulting film formation. A recently developed UFI-NMR tool will be used for real-time visualization and quantification of the transport of fluid components into paper. The obtained results will be used to develop a predictive model describing the transport and film formation processes. The NMR studies will be supplemented by SEM and other experimental tools to analyze the structure of the porous substrates.

Application Deadline: 30/09/2023

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4. Fully Funded PhD Position in Visual Analytics for Prescriptive Data Analysis

Summary of PhD Program:

In this project, the candidate will work to develop new visual analytics and visualization solutions that support the investigation and understanding of a prediction and allow for the representation of multiple actionable choices and their implications. The candidate will work on cutting-edge topics such as model interpretability and explainability, explainable machine learning visualization, intelligent agents, and predictive visual analytics, helping to reduce existing barriers and increase trust in the analytical process.

Application Deadline: 30/10/2023

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5. Fully Funded PhD Position in Wireless Networks

Summary of PhD Program:

In this project you will focus on algorithms to extract meaningful information by analysing the properties of radio channels and of the EM environment. You will start with making an overview of the various approaches for RF sensing that have been presented thus far. Many solutions involve machine learning to learn the environment. However, by looking deeper into known properties of radio propagation in multipath environments, our first insights promise substantial improvement opportunities. You will find effective methods to process noisy, not always fully reliable sensor data, that may not always be available, including RF sensing, in order to estimate the locations and movements of individuals inside an office environment.

Application Deadline: 08/10/2023

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6. Fully Funded PhD Position in time-predictable high-performance computing

Summary of PhD Program:

A major roadblock to achieving time-predictable high-performance computing originates from the complexity of the modern execution platforms designed to meet the computational needs of AI-applications. On such platforms, the need to reduce power consumption while maximizing peak performance results in a high-degree of resource sharing (caches, DRAM, bus, I/Os) causing unpredictable interference, thus preventing guaranteeing that the AI-application’s timing requirements will be met once deployed. This is an unprecedented challenge from a safety and real-time perspective.

Application Deadline: 06/10/2023

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7. Fully Funded PhD Position in Compatibility of Wireless Sensor Networks

Summary of PhD Program:

Wireless sensors are the key technology platform to enable us to collect data that will be used for all kinds of fascinating applications like, in our project, asset tracking in fully automated factories, condition monitoring of heavy machinery in critical applications, and energy efficiency and human wellbeing in smart buildings. Wireless sensor networks are evolving very quickly, adding sophisticated edge computing to solve an increasingly complex set of problems, at lower latency while improving battery life of the sensors.

Application Deadline: 08/10/2023

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8. Fully Funded PhD Position in Trustworthy AI for Personalized Health Promotion tools for Children

Summary of PhD Program:

Your PhD focus will be technically oriented, focusing on developing novel techniques to support digital health interventions. The interdisciplinary and collaborative nature of the project will enable complementing insights derived from AI techniques with insights from social sciences, to be able to meet the target group’s needs and wishes for digital health interventions. Wearable trackers and AI are likely to be used in the context of digital twin-based personalization, which will raise interesting challenges at the side of deserving, gaining, and preserving the trust of parents, privacy officers, etc.

Application Deadline: 15/10/2023

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9. Fully Funded PhD Position in nucleation and growth processes in solids reacting with two gases

Summary of PhD Program:

The aim of this project is to understand phase transitions (nucleation and growth) in solids induced by the absorption of two gases. Together with computational chemists you will identify the most promising solids that react with two gases and can be used for thermal energy storage. You will characterize the phase diagrams of these solids, study the kinetics (nucleation and growth processes) of these materials and unravel the structural transformations occurring during the reaction. You will use TGA-DSC, SEM, in situ-XRD, impedance spectroscopy and if needed NMR. In parallel you will study nucleation and growth processes in already identified candidate: K2CO3 that can react with two gases: water and carbon dioxide.

Application Deadline: 15/10/2023

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10.
Fully Funded PhD Position in Failure mechanisms in electromagnetic actuators

Summary of PhD Program:

The research activities of the section Mechanics of Materials concentrate on the fundamental understanding of various macroscopic problems in materials processing, forming and application, which emerge from the physics and the mechanics of the underlying material microstructure. The main challenge is the accurate prediction of mechanical properties of materials with complex microstructures, with a direct focus on industrial needs. The thorough understanding and modelling of ‘unit’ processes that can be identified in the complex evolving microstructure is thereby a key issue. The section has a unique research infrastructure, both from an experimental and computational perspective.

Application Deadline: 01/11/2023

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11. Fully Funded PhD Position in simulation of a marine-size engines 

Summary of PhD Program:

Work package 1 (WP1, 4PhD’s) focuses is on the performance of NH3 in the Internal Combustion Engine (ICE)/Solid Oxide Fuel Cell (SOFC) combination. NH3 might not burn efficiently enough (too slow) even in slow-running marine-size engines. However, the SOFC may be used to generate H2 and increase the burning velocity considerably. To study this in detail a numerical model (CFD) will be developed to predict the behaviour of NH3-fueled engines and the effect of adding H2 from the off-gas of a Solid-Oxide Fuel Cell (SOFC).

Application Deadline: 22/10/2023

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12. Fully Funded PhD Position in Mechanobiology of fibrous tissue architecture

Summary of PhD Program:

In the project, you will combine experimental approaches and computational modeling to dissect the mechanical interactions between cells and the fibrous extracellular matrix in soft tissues, as well as the consequences of these interactions at the intracellular, cellular, and tissue levels. You will work together with an interdisciplinary team of researchers at the interface between biophysics, mechanics, and bioengineering. Your research will be part of greater and exciting effort aimed at developing a growing in-vitro toolbox for functional tissue engineering, organ regeneration, and disease modeling.

Application Deadline: 30/11/2023

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13. Fully Funded PhD Position in Terahertz Spectroscopy for (Photo-)Electrochemistry

Summary of PhD Program:

The Surface Photonics research group within the Photonics and Semiconductor Nanophysics capacity group focuses on the development of advanced THz spectroscopies based on pump-probe techniques and near-field detection. A major interest of the group is in the investigation of resonant structures for field enhancement and the local near-field characterization of these fields, together with high spatial resolution measurements for spectroscopy. The Plasma and Materials Processing (PMP) group focuses on advancing the science and technology of plasma and materials processing, a multidisciplinary research area that encompasses the research fields of plasma physics, surface science and material science.

Application Deadline: 30/09/2023

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14. Fully Funded PhD Position in Acoustics in high-precision water circuits

Summary of PhD Program:

Photolithography machines play a central role in the production of ever smaller and faster microchips and represent high-precision systems of enormous complexity. Water conditioning is often required in sensitive modules of these machines to maintain strict thermal requirements. However, a negative consequence of this is that pressure disturbances in these water circuits can generate undesirable forces on the structure. These pressure disturbances may be flow induced, from circuit components and pumps, for example, but may also arise from vibrations of the structure leading to acoustic cross-talk between locations of differing dynamic sensitivity. The goal of this study is to develop quieter & more effective water-cooling circuits by understanding and damping the sources of flow-induced vibrations.

Application Deadline: 01/10/2023

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15. Fully Funded PhD Position in Active control of pressure disturbances in water circuits

Summary of PhD Program:

Photolithography machines play a central role in the production of ever smaller and faster microchips and represent high-precision systems of enormous complexity. Water conditioning is often required in sensitive modules of these machines to maintain strict thermal requirements. However, a negative consequence of this is that pressure disturbances in these water circuits can generate undesirable forces on the structure. These pressure disturbances may be flow induced, from circuit components and pumps, for example, but may also arise from vibrations of the structure leading to acoustic cross-talk between locations of differing dynamic sensitivity.

Application Deadline: 01/10/2023

Apply now

 

16. Fully Funded PhD Position in Exceptional Model Mining on time-varying data

Summary of PhD Program:

The Data and AI cluster at Eindhoven University of Technology (TU/e) is searching for candidates for one fully-funded 5-year PhD-TA position. Of the time in the position, 75% will be spent on fundamental scientific research: the primary goal is to enrich the portfolio of available data mining techniques with new innovative methods. The remaining 25% of the time in the position will be spent contributing to the teaching duties of the Data and AI cluster. Hence, this position is an ideal springboard for an academic career: during your PhD trajectory, in which you will contribute fundamental advances to data mining research, you will also build up a portfolio of academic teaching experience. Upon successful completion of this position, your CV will be very attractive for universities with open tenure-track positions.

Application Deadline: 15/10/2023

Apply now

 

 

17. Fully Funded PhD Position in nanophotonic sensing

Summary of PhD Program:

Two PhD studentships are available, one on fiber-tip sensors for air quality monitoring, another on spectral sensors for healthcare and agrofood. The selected candidates will perform cutting-edge research in nanophotonic sensing, including simulations, nanofabrication, optical characterization and validation in a specific application case, in collaboration with industrial partners. The projects will be supervised by Prof. A. Fiore. The PhD students will be integrated in a young, dynamic and highly collaborative team active in this research area.

Application Deadline: 15/10/2023

Apply now

 

18. Fully Funded PhD Position in Neuromorphic integrated photonics for sensing applications

Summary of PhD Program:

Photonics is widely regarded as the key enabling technology of the 21st century and its application and use in many scientific and industrial fields is accelerated though Photonic Integrated Circuits (PICs), which combine many optical components into a miniaturized chip format. Similar to electronic ICs, PICs are revolutionizing areas such as healthcare, communication and sensing, and have the potential to be disruptive to the whole society. A diversity of PIC-based sensors have been proposed in the last years, such as environmental sensors (e.g. gas sensing), medical sensors (e.g. optical coherence tomography), fiber Bragg grating sensors for temperature or strain measurement, light detection and ranging (LiDAR) and others.

Application Deadline: 01/10/2023

Apply now


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