Are you a Master’s graduate looking for fully funded PhD opportunities? Explore the range of funded PhD programs available at the Eindhoven University of Technology, Netherlands. Apply online now and kickstart your doctoral journey!
1. Fully Funded PhD Position in Foundations for a Design Aesthetics of Intelligent Adaptive Systems
Summary of PhD Program:
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—such 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.
Application Deadline: 01/10/2024
2. Fully Funded PhD Position in Field Data Acquisition and Analysis in the field of Healthcare
Summary of PhD Program:
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.
Application Deadline: 23/09/2024
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3. Fully Funded PhD Position in Ultra-high Capacity Terrestrial Free-Space Optical Communications
Summary of PhD Program:
In this research program, you are tasked to explore novel optical techniques for generating, transporting, detecting and controlling optical signals over hybrid networks partly consisting of FSO and partly of RF links. You should design and realize performance improvement in both data throughput and link availability. The work comprises analytical, simulation and experimental activities. The final goal is to demonstrate the feasibility of real-world data transmission using FSO devices for ultra-high speed.
Application Deadline: 29/09/2024
4. Fully Funded PhD Position in Spiking integrated photonics for neuromorphic sensing and processing
Summary of PhD Program:
Rapid advances in artificial intelligence technologies have led to powerful models and algorithms that have revolutionized many applications across all fields of science and technology. Deep learning performed within artificial neural networks has yielded new ways to process data, leading to sophisticated systems with impressive functionality and benefits. However, conventional computing hardware is reaching its limits in terms of energy efficiency and speed. A new approach to computing hardware is needed. Novel brain-inspired or neuromorphic chips working with biologically inspired spiking neural networks have gained attention as they promise highly efficient ways to process data.
Application Deadline: 06/10/2024
5. Fully Funded PhD Position in Layered Quantum Materials for Terahertz Technology
Summary of PhD Program:
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 “EQUATE”, 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.
Application Deadline: 30/09/2024
6. Fully Funded PhD Position in Synthetical data generation using multivariate models
Summary of PhD Program:
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.
Application Deadline: 29/09/2024
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7. Fully Funded PhD Position in Foundation Models for Embedded and Embodied AI in Autonomous Driving
Summary of PhD Program:
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.
Application Deadline: 23/09/2024
8. Fully Funded PhD Position in Generative AI (KG-enhanced LLMs)
Summary of PhD Program:
In the Data and AI cluster, we study foundations of data and AI for the present and the future. We design new methods, develop algorithms and tools with a view at expanding the reach of databases and AI and their generalization abilities. In particular, we study foundational issues of robustness, safety, fairness, trust, reliability, tractability, scalability, interpretability and explainability of data and AI. Currently, DAI includes five research groups: Uncertainty in AI, Generative AI, Automated ML, Data Mining, and Databases.
Application Deadline: 29/09/2024
9. Fully Funded PhD Position in Algorithm Engineering
Summary of PhD Program:
As a PhD TA candidate you will develop new models, algorithms and systems to help with the design and planning challenges of the energy transition. In particular, you will look at this from the perspective of combinatorial and geometric optimization (e.g. fitting solar panels, routing power distribution lines). In many cases, classical algorithms exist that solve a simplified version of the problem, but they are rarely realistic enough to give results that can be used in the real world. You will develop more practical solutions, which will involve algorithm design, analysis and engineering.
Application Deadline: 15/09/2024
10. Fully Funded PhD Position in learning and analysis of coupled dynamical systems with constraints
Summary of PhD Program:
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.
Application Deadline: 06/10/2024
11. Fully Funded PhD Position in Physics guided model for learning and control for EMC
Summary of PhD Program:
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.
Application Deadline: 30/09/2024
12. Fully Funded PhD Position in AI for Electromagnetic Interference Filter Design
Summary of PhD Program:
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.
Application Deadline: 30/09/2024
13. Fully Funded PhD Position in AI to combine and model Electromagnetic Noise Footprint (EMNF) in cables
Summary of PhD Program:
This DC first goal will be to unravel a structural understanding of the exchange of parasitic energy of cables 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 an optimization (within the Safe and Sustainable by Design framework) of cable routing in a MedTech product by combining EMNFs.
Application Deadline: 30/09/2024
