Eindhoven University of Technology, Netherlands invites online Application for number of Fully Funded PhD Positions at various Departments. We are providing a list of Fully Funded PhD Programs available at Eindhoven University of Technology, Netherlands .
Eligible candidate may Apply as soon as possible.
(01) PhD Positions – Fully Funded
PhD position summary/title: PhD Positions on Experiments and Diagnostics of Iron Electrodeposition
Low-temperature electrolysis (/electrodeposition) converting iron oxide/ore into metallic iron has received increasing attention as it offers a truly zero-emission ironmaking for applications of green steel production and iron-based energy storage. One problem, fundamental understanding of metal electrodeposition is largely lacking. Knowledge gaps remain on the exact mechanisms of conversion from solid oxides to metallic iron, as well as the exact physics and operation parameters controlling the quality and morphology of iron deposits. These two PhD projects aim to leverage our state-of-the-art scientific understanding via filling these knowledge gaps. The research will involve well-designed electrochemical experiments with electrochemistry measurements (e.g. CA, CV, EIS) and material characterization (e.g., SEM, EDX, XRD, ICP-OES), as well as using operando diagnostics (e.g. neutron imaging, X-ray tomography/radiography).
Deadline : 16-11-2025
(02) PhD Positions- Fully Funded
PhD position summary/title: PhD position on rapidly pulsed radio-frequency plasmas for gas conversion
Plasma processing systems are often powered by 13.56 MHz radiofrequency (RF) waveforms. However, advances have been held back by i) lack of precise control of the RF signal and ii) the low energy efficiency of RF generators, which prevents the utilization of RF-driven plasmas in energy sensitive applications like CO2 conversion or ammonia synthesis.
However, recent advances in power electronics have led to large improvements in the power efficiency of RF generators and the possibility to operate without impedance matching, allowing them to maintain this high efficiency even under rapidly changing load conditions, such as during pulsed operation. This opens up new operating regimes that have previously been inaccessible and will be explored in this project.
Deadline : 29-11-2025
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(03) PhD Positions – Fully Funded
PhD position summary/title: PhD Position on Computational Fluid Dynamics (CFD) modelling of Metal Electrodeposition
Low-temperature electrolysis (/electrodeposition) converting iron oxide/ore into metallic iron has received increasing attention as it offers a truly zero-emission ironmaking for applications of green steel production and iron-based energy storage. One problem, fundamental understanding of metal electrodeposition is largely lacking. Knowledge gaps remain on the exact mechanisms of conversion from solid oxides to metallic iron, as well as the exact physics and operation parameters controlling the quality and morphology of iron deposits. This PhD project aims to leverage our state-of-the-art scientific understanding via filling these knowledge gaps from a numerical perspective, complementing to additional two experimental PhD projects. The research will involve development of a (particle-liquid-bubble) multiphase CFD model fully resolving phase change at interfaces, optionally coupling to electrochemisty and electromagnetics. Interface tracking/capturing methods such as immersed boundary method, level-set method, volume-of-fluid, phase filed method are options for model development.
Deadline : 16-11-2025
(04) PhD Positions – Fully Funded
PhD position summary/title: PhD on timing-aware distributed supervisory controller synthesis
Complex dynamical systems, such as semiconductor equipment, consists of many interconnected modules, which are functionally, digitally and physically connected. Supervisory controllers that integrate the behavior of modules into meaningful and expected behavior are becoming increasingly important. Supervisory Controller Synthesis is an engineering approach to automatically derive a supervisory controller for a given discrete-event model that is safe with respect to certain requirements. Yet, the application of the approach is limited by the fact that tools for synthesis cannot always deal with the state space explosion involved in complex systems. The aim of this PhD project is to develop distributed supervisory controller synthesis techniques that are scalable to practical systems.
Current decomposition approaches for supervisory control synthesis, like the multilevel discrete-event systems approach, are not well applicable to manufacturing systems where control involves properties of the manufactured goods, such as the wafers in lithography machines. Furthermore, to make supervisors performance aware and thus go beyond relatively straightforward safety and progress properties, system requirements related to the timing of events and the results from performance optimization need to be included in the models. This PhD position will address these challenges by developing new timing-aware distributed supervisory control synthesis methods.
We invite highly motivated students with a strong background in discrete-event systems, supervisory control theory, and formal methods to apply for the PhD position within the Supervisory Control group (see Group Supervisory Control), which is part of the Control Systems Technology (CST) section of the Department of Mechanical Engineering. The members of this group conduct research on model- and synthesis-based engineering of supervisory controllers, mostly using discrete-event systems. As such, you will be able to discuss your research and brainstorm with your fellow group members.
This PhD position is part of the project on ‘Holistic Design Automation for Semiconductor Manufacturing Equipment’, in which 6 PhD students will be employed at the Eindhoven University of Technology in the department of Mechanical Engineering, as well as the departments of Electrical Engineering and Mathematics and Computer Science. You will have the chance to collaborate with ASML to apply the developed results in an industrial context, thereby building both a strong academic and industrial profile.
You will have access to the graduate courses at the Dutch Institute of Systems and Control (DISC) and will have the opportunity to collaborate with industry in the Brainport region and academic researchers worldwide. By joining us, you will be part of a vibrant community of more than 60 researchers including faculty members, postdocs and PhDs working on diverse topics in the field of control systems and its applications.
Deadline : 02-11-2025
(05) PhD Positions – Fully Funded
PhD position summary/title: PhD on Standardization and Intellectual Property (IP) for Additive Manufacturing in repair and remanufacturing
Additive Manufacturing (also colloquially known as 3D printing) is an important development in repair and remanufacturing, allowing for longer product lifetime and promoting a more sustainable and circular economy. This project investigates and integrates two crucial elements for the breakthrough and impact of Additive Manufacturing: Standardization and Intellectual Property (IP). Aiming for both theoretical and practical contributions, this project employs mixed methods (combining both quantitative and qualitative approaches) and state-of-the-art academic research. Moreover, as the winning candidate, you will be working together with the Dutch standards institute NEN, and you will investigate how standardisation, now and in the future, can be a key mechanism for companies to develop high-performance products that are also safe and that meet the legal requirements. And working together with the Dutch patent office (Octrooicentrum NL), you will navigate the complex but fascinating landscape of patent protection, design rights, and copyrights, and how these hinder or promote the wide-scale introduction of Additive Manufacturing in repair and remanufacturing. A key element here is the tension between IP holders and third-party repairers under the EU’s Right to Repair policy. Eventually, your work will contribute to a better, more circular and sustainable society.
You will be part of the Technology, Innovation and Society (TIS) group of the Department of Industrial Engineering and Innovation Sciences, and your PhD trajectory will be supervised by experienced and well-recognised researchers in the fields of innovation economics, standardisation, and IP (prof. Rudi Bekkers and dr. Emilio Raiteri). This PhD project is also part of a larger, NWO-funded project on Additive Manufacturing in repair and remanufacturing (ADD-ReAM), which includes, in total, 15 PhDs who focus on other aspects such as technical design aspects, logistics, sustainability assessment, consumer behaviour, and more.
Deadline : 09-11-2025
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(06) PhD Positions- Fully Funded
PhD position summary/title: PhD on Mechanobiology-based engineering of organotypic blood vessels
Blood vessels have a critical role in our health to enable transport of blood throughout the body. There are different types of blood vessels—e.g., arteries, veins, microvessels—each with their unique characteristics and functions. Moreover, different body parts demand specific blood transport requirements, resulting in organ- and tissue-specific vasculature, such as their size, vascular wall composition, blood flow rate, mechanical properties and stresses, hemodynamics, and permeability. Efforts to engineer or regenerate vessels, as well as to vascularize tissues and organ(oid)s, should therefore take these variations into account.
A vital feature shared by all these diverse blood vessels is the presence of endothelial cells (ECs), the specialized cells that line the vessel lumens and are in continuous contact with blood. Similar to blood vessels, it is increasingly recognized that ECs are also heterogeneous; their phenotype and behavior are highly organ specific. However, little is yet known about where, why, and how ECs acquire this specificity, and how permanent or adaptable it is. Recent in vitro experiments have shown that ECs from different tissue origins have distinct capacities to sense and respond to mechanical signals (e.g., stiffness, shear stress), to initiate angiogenesis, and to form luminal vessels. These findings offer clues that can be used to better understand and to exploit organ-specific vascularization.
This PhD project primarily aims to elucidate the mechanobiological influences that drive endothelial organ-specification and phenotype, and to use this knowledge to engineer organ-specific ECs. The obtained insights will be used to explore experimental approaches to control vascularization of engineered tissues and organoids. You will work with human induced pluripotent stem cells, differentiate them towards organ-specific endothelial cells, and develop in vitro approaches and assays to study how this differentiation process can be modulated. These experiments will be complemented with computational simulations of mechanobiology-mediated angiogenesis, to further dissect the contributions of cell signaling and environmental mechanical properties.
The research will be conducted in the Department of Biomedical Engineering at the Eindhoven University of Technology (TU/e) under the supervision of Dr. Nicholas A. Kurniawan and Dr. Tommaso Ristori. Dr. Kurniawan’s research strives to make an impact on healthcare through an improved understanding of cell–matrix physical interactions and (multi)cellular sensing, whereas Dr. Tommaso Ristori’s research focuses on blood vessel formation aimed at inducing physiological vascularization of diseased and engineered tissues. Their teams are respectively embedded within the Soft Tissue Engineering and Mechanobiology (STEM) group headed by Prof. Carlijn V.C. Bouten and the Modelling in Mechanobiology (MMB) group led by Dr. Sandra Loerakker. As a member of these groups, you will have access to the Cell and Tissue Engineering laboratory, a state-of-the-art research infrastructure operating at the international forefront of the engineering of living tissues.
Deadline : 31-10-2025
(07) PhD Positions – Fully Funded
PhD position summary/title: PhD on Low-Rate Error-Correcting Codes for Security Applications
In this project, the PhD candidate will work on the development of new codes meeting these requirements. The expected focus will be on modern coding frameworks using soft-decision probabilistic decoders, such as polar codes and LDPC codes. Several outbranching research directions are possible, such as: integration of new decoders with pre- and post-processing techniques for fuzzy sources, optimization of decoder complexity, working on innovative decoder architectures, prototyping of new decoders, development of new processing techniques for dealing with non-uniform sources, etc. Based on the interest of the candidate, specific research directions can be chosen.
The main host for this position will the Information and Communication Theory Lab (ICT Lab) of the Signal Processing Systems group (SPS) at TU Eindhoven, but it is co-hosted by Intrinsic ID (now Synopsys), an Eindhoven-based industrial partner, and by the Coding and Cryptography group (COD) at TU Munich headed by professor Wachter-Zeh, which is a partner in the EuroTech consortium. Parts of the project are scheduled to be performed on-site at Intrinsic ID and TUM. In that way, the candidate will get the opportunity to collaborate with international experts in coding theory both at TU/e and TUM, but also to explore the practical impact in an innovative company which is a world-leader in this technology. For this reason, a candidate with a good mix between strong analytical abilities and hands-on practical skills is preferred.
Deadline : 01-11-2025
(08) PhD Positions – Fully Funded
PhD position summary/title: PhD on information theory for communication and sensing
The successful candidate will work on the ERC-funded project “Information Theoretic Foundations of Joint Communication and Sensing”. The focus is on developing a principled information theoretic framework for wireless systems that integrate communication and sensing functions. The goal is to establish fundamental performance limits and trade-offs; and provide guiding principles for the design of efficient and reliable schemes.
The successful candidate will have the opportunity to explore related topics in Shannon theory, source and channel coding and statistical signal processing. The specific topic of research will be determined in consultation with the PI (Dr. Hamdi Joudeh), with whom the successful candidate will work closely. The successful candidate is expected to participate in research and teaching activities of the PI’s research group.
Deadline :23-11-2025
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(09) PhD Positions – Fully Funded
PhD position summary/title: PhD on Energy-Efficient Online Learning Using Compute-in-Memory Architectures
Self-awareness in humans is an innate capability, arising from the brain’s ability to process a multitude of sensory inputs. Emulating this functionality in electronic systems, commonly referred to as neuromorphic computing holds the potential to create highly intelligent machines capable of supporting a wide range of everyday applications, from autonomous vehicles to smart navigation systems. However, realizing neuromorphic computing in practice presents significant challenges, particularly in the areas of energy efficiency, reliability, and security.
The REACT Marie Skłodowska-Curie Actions (MSCA) Doctoral Network addresses the above mentioned challenges by developing a neuromorphic platform that is inherently self-aware in terms of energy consumption, secure operation, and system reliability.
Are you enthusiastic about the opportunity to join the REACT Doctoral Network, be involved in impactful research whilst providing your career an international perspective and boost?
As part of the REACT initiative, 15 early-stage researchers (ESRs) will be trained through a comprehensive, interdisciplinary program spanning material science, device physics, computer architecture, hardware prototyping, compiler design, simulation and emulation tools, as well as cybersecurity, reliability, and system verifiability.
The objective of this PhD project is to develop a gain-cell memory-based compute-in-memory (CIM) architecture to enable energy-efficient online learning at the edge. Conventional edge devices are limited by constraints in power, latency, and memory bandwidth, which pose significant challenges to real-time learning when using traditional von Neumann architectures. By leveraging gain-cell memory, which offers high density and low leakage, and integrating mixed-signal computation directly into memory arrays, the proposed approach significantly reduces data movement and energy consumption. To ensure dependable operation under real-world conditions, efficient fault detection and recovery mechanisms will also be evaluated and integrated, addressing the susceptibility of analog and in-memory computing to noise, process variation, and soft errors. The primary objective is to design a CIM system capable of performing key learning operations, such as vector-matrix multiplication and weight updates, within the memory itself, thereby enhancing energy efficiency and computational throughput. This architecture will be optimized for lightweight, adaptive learning tasks commonly encountered in edge scenarios, such as sensor fusion.
REACT offers a uniquely structured training environment, combining academic excellence with industrial collaboration. ESRs will benefit from close mentorship by leading researchers and industry experts, while also developing essential skills in scientific writing, research ethics, time management, and entrepreneurship. By the conclusion of the REACT project, participants will be well-equipped to pursue impactful careers across academia and industry, with the REACT program serving as a strong foundation for their future success. More information about the project can be found here https://project-react.eu/.
Deadline :27-11-2025
(10) PhD Positions – Fully Funded
PhD position summary/title: PhD on dynamical systems theory for hierarchical diagnostics
We invite highly motivated students with a strong background in mathematical control theory, and a keen interest in machine learning to apply for the PhD position within the Dynamics and Control section at the Department of Mechanical Engineering, Eindhoven University of Technology. The mission of the Dynamics and Control Section is to perform research and train next-generation students on the topic of understanding and predicting the dynamics of complex engineering systems in order to develop advanced control, estimation, planning, learning and diagnostics strategies which are at the core of the intelligent autonomous systems of the future: Designing and realizing smart autonomous systems for industry and society.
Complex dynamical systems, such as semiconductor equipment, consists of many interconnected modules, which are functionally, digitally and physically interconnected. The throughput of the equipment relies on continuous runtime while meeting stringent requirements on accuracy and performance. Therefore, monitoring the health of these systems is crucial, which is now largely performed by human experts. The aim of this PhD project is to design innovative monitoring algorithms for complex dynamical systems to automate fault isolation with diagnostics performance guarantees.
Current health monitoring technology is typically designed for either (i) individual system components/modules (which would require removing the component from the system, which is not possible in practice), or (ii) for the system as a whole. The first approach fails to account for the interaction between modules and its effect on the whole system. The second approach makes it challenging to isolate which module may be failing and how to zoom in on the part of the system that is the root cause of the failure. This PhD position will address this challenge by developing hierachical diagnostic tools for complex dynamical systems.
This PhD position is part of the project on ‘Holistic Design Automation for Semiconductor Manufacturing Equipment’, in which 6 PhD students will be employed at the Eindhoven University of Technology in the department of Mechanical Engineering, as well as the departments of Electrical Engineering and Mathematics and Computer Science. You will have the chance to collaborate with a semiconductor company, ASML to apply the developed results in an industrial context, thereby building both a strong academic and industrial profile.
You will have access to the graduate courses at the Dutch Institute of Systems and Control (DISC) and will have the opportunity to collaborate with industry in the Brainport region and academic researchers worldwide. By joining us, you will be part of a vibrant community of more than 60 researchers including faculty members, postdocs and PhDs working on diverse topics in the field of dynamical systems and control and its applications.
Deadline : 01-11-2025
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(11) PhD Positions – Fully Funded
PhD position summary/title: PhD on Decision-Making using Structural (Mixed) Integer Programs
You will work under the supervision of Alexandra Lassota and Frits Spieksma in the Combinatorial Optimization group (link) within the Department of Mathematics and Computer Science at TU/e. Your responsibilities include to perform scientific research on the topic of the above-mentioned project, and to publish and present your results at international venues. For a small percentage of your time, you will be asked to assist with educational tasks (course support and supervision of students).
Deadline : 21-12-2025
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(12) PhD Positions – Fully Funded
PhD position summary/title: PhD on contract-based design of complex dynamical systems
We invite highly motivated students with a strong background in dynamical systems, mathematical system theory and control, and structural dynamics to apply for one of these PhD positions within the Dynamics and Control section at the Department of Mechanical Engineering, Eindhoven University of Technology. The mission of the Dynamics and Control Section is to perform research and train next-generation students [BB1] on the topic of understanding and predicting the dynamics of complex engineering systems in order to develop advanced control, estimation, planning, and learning strategies which are at the core of the intelligent autonomous systems of the future: Designing and realizing smart autonomous systems for industry and society.
Complex high-tech systems, such as semiconductor equipment, robots, industrial printers, self-driving cars, electron microscopes, etc., consists of many interconnected modules, together warranting the functionalities with[BB2] extreme requirements on speed and accuracy, for example to make the AI chips of the future. Translating requirements on the dynamical behaviour of the system as whole to design specifications (on dynamical behaviour) for these modules is an extremely challenging task, now typically performed by highly experienced system engineers.
Within this project, in which 4 PhD students will be employed (two at the Eindhoven University of Technology and two at Groningen University, both in the Netherlands), you will develop novel tools based on contract-based system theory to automate and make more precise these translations between system and module requirements. This will make design process both better and faster.
The first vacancy at TU/e involves a position with which tools will be developed to analyze system-level dynamics-related requirements (on both time- and frequency domain behaviour) on the basis of such requirements on the modules of which the system consists. Within the second vacancy, this challenge is considered for a particularly important class of systems, namely second-order structural dynamics systems with nonlinearities, often encountered in mechatronic and robotic applications.
You will have the chance to collaborate with 4 different high-tech companies in the field of chip manufacturing and robotics to apply the developed results in an industrial context, thereby building both a strong academic and industrial profile.
You will have access to the graduate courses at the Dutch Institute of Systems and Control (DISC) and the Engineering Mechanics Research School (EM) and will have the opportunity to collaborate with industry in the Brainport region and academic researchers worldwide. By joining us, you will be part of a vibrant community of more than 60 researchers including faculty members, postdocs and PhDs working on diverse topics in the field of dynamical systems and control and its applications.
Deadline : 20-11-2025
(13) PhD Positions – Fully Funded
PhD position summary/title: PhD on Clinical- and Analytical Chemistry
Protein tumor markers (TMs) in blood offer a promising, minimally invasive approach to support clinical decision-making in lung cancer. However, their broad clinical application is currently limited due to the lack of standardized immunoassays, which leads to inconsistent results across analytical platforms and a risk of misclassification when using fixed cut-off levels. Reference measurement procedures (RMPs) provide a solution to this challenge: they are highly accurate, well-characterized methods that serve as traceable standards for biomarker quantification, enabling reliable and reproducible measurements across different assays.
In this PhD project, you will develop RMPs and reference materials (RMs) for several protein TMs to enable harmonized and reproducible measurements across clinical platforms. You will explore advanced analytical approaches, including immunoextraction of full proteins and SISCAPA-based peptide extraction, and develop targeted bottom-up proteomics methods using mass spectrometry. Additionally, you will engineer full proteins and signature peptides for method development, calibration, and quality control. This work will provide the foundation for broader clinical implementation of tumor marker assays and more reliable, minimally invasive diagnostics.
You will work in an interdisciplinary environment at the TU/e Laboratory of Chemical Biology and the Expertise Center Clinical Chemistry Eindhoven (ECCCE), a collaboration between TU/e, Catharina Hospital, and Máxima Medisch Centrum focused on the development and implementation of analytical assays and decision support algorithms in clinical practice. Additionally, the project involves collaborations with large industrial partners such as Roche Diagnostics and SISCAPA. Through this collaboration, you will have access to state-of-the-art analytical facilities and benefit from a strong translational research network connecting fundamental chemical biology, clinical diagnostics, and industrial partners.
You will be working under the supervision of Luc Brunsveld, Volkher Scharnhorst, and a multidisciplinary team with expertise in proteomics, assay development, and clinical translation. You will have access to state-of-the-art facilities and collaborate closely with clinical and industrial partners.
Your research will not only advance the standardization of lung cancer biomarker assays but also contribute to more reliable, minimally invasive diagnostics and improved patient care worldwide.
Deadline : 09-11-2025
(14) PhD Positions – Fully Funded
PhD position summary/title: PhD on Balancing (trans-) disciplinary competencies in responsible engineering curricula
Grand societal challenges require a shift in the rationale of engineering curricula from focusing on engineering challenges to addressing grand societal challenges. This shift involves moving from solely teaching disciplinary knowledge towards fostering transformative competencies, both disciplinary and transdisciplinary. However, there is a lack of knowledge on co-creating constructively aligned engineering curricula that balance and support the development of transformative competencies within the new rationale. TU/e received a NRO research grant for the future of higher education to study how to co-create content-wise open, yet time-bound engineering curricula that are constructively aligned, and balance and support the development of transformative competencies within the new rationale of addressing societal challenges.
This project will contribute to a change in rationale for engineering curricula from a focus on solving engineering challenges to addressing societal challenges. The project will deliver validated design principles and solutions for practice for co-creating content-wise open, yet time-bound constructively aligned engineering curricula within the new rationale. Since transformation of educational institutes is restricted by current systems and mentalities, we have chosen the time-bound scope to have realistic impact at the end of the project. Our research will deliver foundation for changing one or more engineering curricula within five years. To achieve this, two interlinked sub-projects are devised, conducted by one PhD candidate, and one Post doc.
As a PhD candidate and postdoctoral researcher, you will conduct educational design research, i.e. a development study aimed at designing evidence-based solutions for complex problems in educational practice. This approach allows for systemic analysis of the problem, iterative (re)design and evaluation of practice-oriented solutions, and the advancement of knowledge.
The first sub-project; a PhD track, focusses on the characteristics of transformative competencies to be achieved as learning outcomes, and pathways to identify that set, in co-creation with stakeholders. The second sub-project, a postdoc track, focusses on pedagogies or structures for guiding students in selecting competencies to be achieved as learning outcomes, through learning activities and assessment processes fitting these learning outcomes. Together, both researchers focus on aligning at curriculum level the learning outcomes, learning activities and assessment processes (i.e., Constructive Alignment) when the set of learning outcomes is non-predefined.
We aim to contribute a set of validated design principles and solutions for various target groups and thereby delivering the foundation for changing one or more engineering curricula within five years, spark discussion and initiate systemic changes in higher education more broadly.
You will present your research findings at international conferences and publish them in peer-reviewed scientific journals. Given the applied nature of this project, your insights will be implemented within the practical context of TU/e and shared through non-academic channels to reach a broader audience.
As a PhD candidate or Postdoctoral researcher, you will be embedded in TU/e innovation Space and the Sustainability Office at TU/e and actively contribute to the initiatives of both. A teaching component of 0,1fte is included in the role. Your teaching competencies can be developed by using the rich experience on Challenge-Based Learning at TU/e and within TU/e innovation Space. You can contribute to CBL or sustainability courses, together with the applicants where possible, and as such learn from experienced coaches, teachers and educational designers.
Deadline : 03-11-2025
(15) PhD Positions – Fully Funded
PhD position summary/title: PhD on advancing positive airway pressure therapy for sleep apnea
Sleep is vital for health, cognitive function and emotional well-being. Obstructive Sleep Apnea (OSA) is a common sleep disorder that disrupts breathing during sleep due to collapse of the upper airway, increasing health risks like cardiovascular diseases, diabetes, and depression, along with daytime sleepiness and accident risk.
Positive Airway Pressure (PAP) therapy is a first line treatments for OSA, and works by delivering pressurized air to keep the airway open. Traditionally, titration of optimal PAP parameters was done in sleep labs, but home titration using auto-adjusting PAP devices is gaining popularity for its convenience. However, this approach comes with the downside of not allowing measurement of objective sleep parameters that would be traditionally collected with a full polysomnographic recording if titration were done in the lab.
Improvements in objective and experienced sleep quality, and reductions in daytime symptoms all play a crucial role in adherence to PAP therapy. These are determinants of compliance, as patients struggling to sleep or those who do not experience improvements in daily function, are less likely to adhere to the therapy.
In this project, we aim to improve our understanding of the effect of PAP therapy on sleep quality and patient outcomes.
The candidate will be responsible for setting up and running a clinical data collection trial, to obtain objective and subjective measurements of sleep during the home-based auto-titration period.
Further, the candidate will explore using state-of-the-art statistical and data analysis methods, how this information relates to therapeutic outcomes, and retrospectively, how this information can be used by physicians, to provide deeper insights during this critical phase of clinical care.
Deadline : 21-11-2025
(16) PhD Positions – Fully Funded
PhD position summary/title: PhD in the intersection of hybrid dynamical systems, control and cyber security.
We invite highly motivated students with a strong background in mathematical systems and control theory, and optimization to apply for the PhD position within the Dynamics and Control section at the Department of Mechanical Engineering, Eindhoven University of Technology. The mission of the Dynamics and Control Section is to perform research and train next-generation students on the topic of understanding and predicting the dynamics of complex engineering systems in order to develop advanced control, estimation, planning, learning and diagnostics strategies which are at the core of the intelligent autonomous systems of the future: Designing and realizing smart autonomous systems for industry and society.
This PhD position focuses on designing resilient control laws for hybrid dynamical systems (cyber-physical systems) under adversarial conditions to satisfy complex specifications. Autonomous systems such as self-driving vehicles and medical robots, need to satisfy stringent stability and performance specifications. This PhD will develop verification and synthesis methods for the resilient control of hybrid dynamical systems.
In addition to a strong background in linear systems and control theory, you must have a keen interest in nonlinear and hybrid dynamical systems and control, optimization, and its application to cyber security. Familiarity with Lyapunov based analysis and control design tools is a must.
This PhD position is part of a European wide network on the security and resilience of critical cyber physical systems, funded by the Marie Skłodowska-Curie Actions Doctoral Networks scheme (https://cordis.europa.eu/project/id/101227389). You will be one of the 10 PhD students, hosted across 9 academic institutions throughout Europe (2 PhDs will be hosted at the dynamics and control section in TU/e) with industrial secondments at 9 industrial partners. Each PhD student will conduct two secondments, with an academic and industrial partner respectively. There will be network wide events, including academic courses, graduate schools, and a seminar series, to name a few.
Additionally, you will have access to the graduate courses at the Dutch Institute of Systems and Control (DISC) and will have the opportunity to collaborate with industry in the Brainport region and academic researchers worldwide. By joining us, you will be part of a vibrant community of more than 60 researchers including faculty members, postdocs and PhDs working on diverse topics in the field of dynamical systems and control and its applications.
Deadline : 01-11-2025
(17) PhD Positions – Fully Funded
PhD position summary/title: PhD in Multiscale modelling of recycled stainless green steels
The transition to low-carbon steelmaking will significantly alter production chains, starting from raw materials to high-end products made from these steels. One of the paths to reduce CO2 emissions in steelmaking is the use of scrap. This will inevitably entail significant variations in the chemical composition of the steel produced, which may affect the performance of the steels during processing and service. This is particularly true for stainless steels undergoing phase transformations in view of the targeted mechanical properties.
These phase transformations occur during the metal forming processes in which they are shaped to a product. These need to be well controlled to safeguard the formability of the material during processing on the one hand and securing the resulting strength and hardness properties on the other hand. This makes this class of materials particularly vulnerable to the use of recycled material, with possibly uncontrolled or variable content. Accordingly, this research project aims to establish predictive insights between microstructures contaminated with tramp elements and the resulting engineering properties as required for product processing.
Deadline : 16-11-2025
(18) PhD Positions – Fully Funded
PhD position summary/title: PhD in measurement-driven compact models for photonic integrated circuits
As a PhD student in our group, you will be responsible for setting up new compact models. Compact models are the optimum trade-off between the required physical functionality and computation intensity. As such, they enable the simulation of advanced and high-integration-density photonic integrated circuits. (PICs). Specifically, we will be looking at optical amplifiers, lasers and photodetectors, with a focus on noise and high-power behavior. Such compact models will propel the field of PICs into applications beyond communications, e.g., in fiber sensing, metrology and microwave photonics.
Since such models need to be qualified for PIC foundry platforms, you will also be responsible for setting up and evaluating new optical test and characterization techniques. The goal is to be able to measure all the parameters in the compact model in a wafer-scale approach and in a robust way. You will first work in our optical characterization lab, but then transfer these techniques to automated wafer testing tools.
So, where is the scientific challenge in all this? The field of PICs is rapidly evolving, along similar lines as electronics did a few decades ago. We are entering a new era, that is currently not well explored, and we need you to set the new standards of working, and to develop new design concepts. It’s an open field, with lots of opportunities for a creative researcher, who can keep an eye on the bigger picture.
Deadline : 16-11-2025
About Eindhoven University of Technology, Netherlands –Official Website
The Eindhoven University of Technology is a public technical university in the Netherlands, located in the city of Eindhoven.
The University has been placed in the top 200 universities in the world by three major ranking tables. The 2019 QS World University Rankings place Eindhoven 99th in the world, 34th in Europe, and 3rd in the Netherlands – TU/e has moved up 59 places in this world ranking since 2012 (in two other main world rankings it is 167th and 51-75th). As of 2020, the foundation employs over 800 people, with annual revenues in excess of €686 million.
TU/e is the Dutch member of the EuroTech Universities Alliance, a strategic partnership of universities of science & technology in Europe: Technical University of Denmark (DTU), École Polytechnique Fédérale de Lausanne (EPFL), École Polytechnique (L’X), The Technion, Eindhoven University of Technology (TU/e), and Technical University of Munich (TUM).
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