{"id":9501,"date":"2024-09-20T10:00:48","date_gmt":"2024-09-20T10:00:48","guid":{"rendered":"https:\/\/fellowshipbard.com\/?p=9501"},"modified":"2024-09-15T16:25:18","modified_gmt":"2024-09-15T16:25:18","slug":"22-fully-funded-phd-programs-at-eindhoven-university-of-technology-netherlands","status":"publish","type":"post","link":"https:\/\/fellowshipbard.com\/22-fully-funded-phd-programs-at-eindhoven-university-of-technology-netherlands\/","title":{"rendered":"22 Fully Funded PhD Programs at Eindhoven University of Technology, Netherlands"},"content":{"rendered":"
Are you holding Master\u2019s 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.<\/span><\/p>\n 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\u2019s Online Application Portal.\u00a0<\/span><\/p>\n This PhD will further investigate the relevance of uncertainty for design, specifically towards a foundational understanding of the aesthetics of intelligent adaptive systems. Importantly, in this dissertation foundations are expected to take the shape of readymade resources which can be conceptual and\/or practical, but must be relevant for design practice\u2014such as patterns, taxonomies, typologies and\/or catalogues. Particularly noteworthy are patterns in the original sense as components of an aesthetic, practical and ethical framework6 seeking patterns for uncertainty and related concerns prompts methodological questions around how they could be derived, on what basis, on what level of abstraction and what for.\u00a0<\/span><\/p>\n Apply now<\/strong><\/span><\/a><\/p>\n The Data Analytics group of the Jheronimus Academy of Data Science (JADS) runs several projects that deal with extramural care of patients with chronic, lifestyle related, diseases. These projects are usually part of larger (inter)national consortia where partners from different academic, medical, and industrial organizations work closely together on project goals in this context. An example of this is the European project IRHIS (see attachment). In IRHIS there is a vacancy for one PhD candidate. We are looking for a team player with a strong background in data science\/engineering who is willing to collaborate in multi-disciplinary international teams.<\/span><\/p>\n Apply now<\/strong><\/span><\/a><\/p>\n <\/p>\n Follow FellowshipBard for daily updates! <\/span><\/strong><\/span><\/p>\n Facebook<\/span><\/strong><\/a><\/span><\/p>\n Twitter<\/span><\/strong><\/a><\/span><\/p>\n Linkedin<\/span><\/strong><\/a><\/span><\/p>\n Telegram Channel<\/span><\/strong><\/span><\/a><\/span><\/p>\n More and more wireless devices will be needed in the foreseeable future. We are evolving towards the era of \u2018hyperconnectivity\u2019, a state where the number of devices connected to the Internet vastly exceeds the number of connected people. Market forecasts show that more than 1000 wireless devices per person will be connected to the web in the very near future. This also is part of the ambitions for the upcoming 6th Generation wireless networks.<\/span><\/p>\n Apply now<\/strong><\/span><\/a><\/p>\n <\/p>\n 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. Novel PIC components will have a big impact on the fields of sensing and processing. 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. Equally, novel PIC based solutions for processing data and performing computation had been proposed for information transport (equalization, pulse shaping), sensory data processing (Radar, LiDAR) and algorithmic problem solving (optimization, neural networks) .<\/span><\/p>\n Apply now<\/strong><\/span><\/a><\/p>\n We are currently looking for a highly motivated doctoral researcher for a new position within the Ultrafast Dynamics in Nanoscale Systems group at Eindhoven University of Technology (the Netherlands). This position is funded by the ERC project \u201cEQUATE\u201d, which has the aim of engineering quantum materials for terahertz applications. In particular, the goal is to study the ultrafast thermodynamic properties of layered quantum materials, and exploit these properties towards functional terahertz devices with unprecedented performance.<\/span><\/p>\n Apply now<\/strong><\/span><\/a><\/p>\n <\/p>\n The project focuses on synthetical data generation, AI-driven state estimation, stochastic modelling and reliability assessment, and grid-edge optimal solutions. These models will be combined with the AI-driven state estimations to enhance network observability and grid monitoring. Additionally, integration with the stochastic modelling and reliability assessment process will provide valuable insights into the impact of uncertainties on grid reliability. Finally, in conjunction with the developed edge intelligence, these advancements will enable optimal solutions for the electricity grids in the Netherlands and e.g. the rest of Europe, while maintaining user privacy.<\/span><\/p>\n Apply now<\/strong><\/span><\/a><\/p>\n <\/p>\n This project is part of a large program in collaboration with many academic and industrial partners, including major OEMs in Europe, with a significant impact on the future of safe AD deployment. You will be building foundation models for both embedded and embodied AI, focusing on LLM-guided sparsity and learning agents. Your work will involve language-based navigation, training, labeling (and data curation in general), as well as developing more intuitive LLM-based active learning approaches. Ultimately, you will work towards LLM-based scenario descriptions for actor generation in simulations.<\/span><\/p>\n Apply now<\/strong><\/span><\/a><\/p>\n You will be supervised by Dr. J.M. Tomczak (TU\/e), Prof. M. Pechenizkiy (TU\/e), Prof. G. Fletcher (TU\/e), and Dr. J. Kustra (ASML). You will be working in close collaboration with the Diagnostics & Data Science Group in ASML Research. This multidisciplinary team focuses on fundamentally exploring and prototyping the next generation knowledge-informed solutions for ASML, Metrology and Lithography challenges. Given the system complexity, a core challenge is in the diagnostics of (rarely occurring) failures, where the existing knowledge on system design is brought together with physics understanding as well as system data to reason on the problem potential root causes. You will participate in cutting-edge research, publish your work in leading conferences (NeurIPS, ICML, ICLR, AISTATS, UAI) and journals (TML, IEEE TPAMI, JMLR), and contribute to open-source tools.<\/span><\/p>\n Apply now<\/strong><\/span><\/a><\/p>\n <\/p>\n Within this project you will work on developing a framework that enables the fast simulation of engineering systems that are (partially) modelled with a multibody systems approach. For that, you will use a data-based surrogate modelling approach and study appropriate simulation techniques for the resulting coupled, heterogeneous dynamical systems with constraints described with differential-algebraic equations.<\/span><\/p>\n Apply now<\/strong><\/span><\/a><\/p>\n Modelling EMC is challenging due to nonlinear behavior, frequency-dependent interactions, complex geometries and many uncertainties involved. Current techniques are heavily limited due computational burden and are often too costly to enable optimization early in the design process. This DC will aim to capture the time-varying behavior of components, connectivity, and operational conditions with machine learning methods, such as Physics-guided Neural Networks (PGNNs) and explore control strategies to design controllers efficiently based on the learnt models to suppress electromagnetic interference within electronic systems.<\/span><\/p>\n Apply now<\/strong><\/span><\/a><\/p>\n This Doctoral Candidate (DC) first goal will be to unravel a structural understanding of the exchange of parasitic energy of EMI Filters with its environment using AI tools. The so-called EMNF (ElectroMagnetic Noise Footprint) comprises a set of characteristic curves obtained from stand-alone measurements on a device. A second goal will consist in exploring how to combine two or more EMNFs. The work will support the optimization (within the Safe and Sustainable by Design framework) of EMI filters within products by combining EMNFs.<\/span><\/p>\n Apply now<\/strong><\/span><\/a><\/p>\n1. Fully Funded PhD Position in Foundations for a Design Aesthetics of Intelligent Adaptive Systems<\/strong><\/span><\/h1>\n
Summary of PhD Program:<\/strong><\/span><\/h2>\n
Application Deadline:<\/strong> 01\/10\/2024<\/span><\/span><\/h3>\n
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2. <\/strong><\/span>Fully Funded PhD Position in Field Data Acquisition and Analysis in the field of Healthcare<\/strong><\/span><\/h1>\n
Summary of PhD Program:<\/strong><\/span><\/h2>\n
Application Deadline:<\/strong> 23\/09\/2024<\/span><\/span><\/h3>\n
3. <\/strong><\/span>Fully Funded PhD Position in Ultra-high Capacity Terrestrial Free-Space Optical Communications<\/strong><\/span><\/h1>\n
Summary of PhD Program:<\/strong><\/span><\/h2>\n
Application Deadline:<\/strong> 29\/09\/2024<\/span><\/span><\/h3>\n
4. <\/strong><\/span>Fully Funded PhD Position in Spiking integrated photonics for neuromorphic sensing and processing<\/strong><\/span><\/h1>\n
Summary of PhD Program:<\/strong><\/span><\/h2>\n
Application Deadline:<\/strong> 06\/10\/2024<\/span><\/span><\/h3>\n
Find Fully Funded PhD in UK<\/span><\/strong><\/span><\/a><\/h3>\n
5. <\/strong><\/span>Fully Funded PhD Position in Layered Quantum Materials for Terahertz Technology<\/strong><\/span><\/h1>\n
Summary of PhD Program:<\/strong><\/span><\/h2>\n
Application Deadline:<\/strong> 30\/09\/2024<\/span><\/span><\/h3>\n
6. <\/strong><\/span>Fully Funded PhD Position in Synthetical data generation using multivariate models<\/strong><\/span><\/h1>\n
Summary of PhD Program:<\/strong><\/span><\/h2>\n
Application Deadline:<\/strong> 29\/09\/2024<\/span><\/span><\/h3>\n
7. <\/strong><\/span>Fully Funded PhD Position in Foundation Models for Embedded and Embodied AI in Autonomous Driving<\/strong><\/span><\/h1>\n
Summary of PhD Program:<\/strong><\/span><\/h2>\n
Application Deadline:<\/strong> 23\/09\/2024<\/span><\/span><\/h3>\n
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Find Fully Funded PhD in USA<\/span><\/strong><\/span><\/a><\/h3>\n
8. <\/strong><\/span>Fully Funded PhD Position in Generative AI (KG-enhanced LLMs)<\/strong><\/span><\/h1>\n
Summary of PhD Program:<\/strong><\/span><\/h2>\n
Application Deadline:<\/strong> 29\/09\/2024<\/span><\/span><\/h3>\n
9. <\/strong><\/span>Fully Funded PhD Position in learning and analysis of coupled dynamical systems with constraints
\n<\/strong><\/span><\/h1>\nSummary of PhD Program:<\/strong><\/span><\/h2>\n
Application Deadline:<\/strong> 06\/10\/2024<\/span><\/span><\/h3>\n
Find Fully Funded PhD in Europe<\/span><\/strong><\/span><\/a><\/h3>\n
\n10. <\/strong><\/span>Fully Funded PhD Position in Physics guided model for learning and control for EMC<\/strong><\/span><\/h1>\nSummary of PhD Program:<\/strong><\/span><\/h2>\n
Application Deadline:<\/strong> 30\/09\/2024<\/span><\/span><\/h3>\n
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11. <\/strong><\/span>Fully Funded PhD Position in AI for Electromagnetic Interference Filter Design<\/strong><\/span><\/h1>\n
Summary of PhD Program:<\/strong><\/span><\/h2>\n
Application Deadline:<\/strong> 30\/09\/2024<\/span><\/span><\/h3>\n
Explore PhD Salary, Jobs, & Career Growth<\/span><\/strong><\/span><\/a><\/h3>\n
12. <\/strong><\/span>Fully Funded PhD Position in AI to combine and model Electromagnetic Noise Footprint (EMNF) in cables<\/strong><\/span><\/h1>\n