Eindhoven University of Technology, Netherlands invites online application for multiple 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.
1. PhD Position in Bayesian Machine Learning for Wireless Communication
Summary of PhD Positions:
We are looking for an electrical engineer, computer scientist, statistician or mathematician who is interested in pursuing a PhD on the intersection of Bayesian Machine Learning and Wireless Communications. The successful candidate will work towards developing and analyzing intelligent autonomous systems (agents) for wireless networks. Such systems will be able to learn from previous experience (data), actively sense their surrounding environment, and quickly adapt to new conditions; with the goal of providing reliable communication services to mobile users, IoT devices, self-driving cars, and other intelligent agents. This will be achieved using tools from active inference and probabilistic (Bayesian) machine learning on the one hand, and communication and information theory on the other. The project entails system development, as well as rigorous theoretical analysis. The ideal candidate should be comfortable with, and willing to develop in, both.
Application Deadlines: 10/11/2022
2. PhD Position in roadmapping for societally aligned quantum cryptography solutions
Summary of PhD Positions:
In this PhD project you will closely collaborate with TNO, the Eindhoven Quantum hub[2], and many other stakeholders to facilitate the societally aligned development of data security solutions that will be broadly accepted and trusted by society. As part of the interdisciplinary FIQCS consortium you will be facilitating the co-creation of a roadmap and the co-design of a fieldlab with societal stakeholders – to develop knowledge, methods, and technology to work towards standards and certification methods for these new advanced quantum cryptographic systems.
Application Deadlines: 06/11/2022
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3. PhD Position in SOY STORIES: Brazilian histories and futures of soy & (un)sustainability
Summary of PhD Positions:
The research project SOY STORIES investigates how we can study these region’s sustainability histories as connected, and draws implications for thinking about (likewise connected) inclusive sustainability futures. You will investigate Brazilian soy-related sustainability histories and their relations to Dutch sustainability histories; how these inform current thinking about solutions that are for relevant sustainability challenges in Brazil; and how historical knowledge can become actionable for the development of more inclusive sustainable future imaginaries (i.e. addressing both regions).
Application Deadlines: 28/10/2022
4. PhD Position in circular circuits
Summary of PhD Positions:
The aim of this project within the circular circuits program is to lay a the foundation to develop early warning principles in micro-electronic systems; Understanding and predicting the reliability of electronic systems is generally very challenging since it involves multidisciplinary issues that are related to materials, design, and manufacturing processes, as well as, testing and application conditions. With the ambition to design extremely robust or fully reusable or recyclable microelectronics, a switch in materials used is foreseen. An important challenge is imposed by the ongoing EU legislation restricting the use of hazardous materials, like Pb, which urges the exploration and implementation of alternative materials and processes.
Application Deadlines: 10/11/2022
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5. PhD Position in Formalizing risk-awareness for control in multi-agent systems
Summary of PhD Positions:
The successful candidate will join a research group with a focus on formal methods for control systems. This PhD position is part of a bigger project that addresses the fundamental need for a new conceptual framework for awareness in multi-agent systems (MASs) that is compatible with the internal models and specifications of autonomous robotic systems and that enables safe simultaneous operation of collaborating autonomous agents and humans. The focus of this PhD position will lie on quantifying risk-awareness for multi-agent planning in human-in-the-loop situations.
Application Deadlines: 04/12/2022
6. PhD Position in Closed-loop recyclable thermosets
Summary of PhD Positions:
In this project, the focus of the research will be on existing polymers as well as designing and synthesis of novel thermosetting polymers more amenable to recycling, including smart new monomers that can switch between polymerized and depolymerized states, using energy efficient processes. The key is incorporation of suitable degradable functional groups or smart monomers into the polymers in their design stage (”design for recycling’’ approach). The research will include the design and synthesis of new monomers including the use of bio-based raw materials, preparation of thermosets and elucidation of structure-property relationships, chemical depolymerization, separation and recovery of building blocks and proof of concept for “closed-loop” recycling.
Application Deadlines: 20/11/2022
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7. PhD Position in Machine Learning to improve Illumination Optics Design
Summary of PhD Positions:
Illumination optics plays an important role in modern society. Products like mobile phones, lamps, car headlights, road lighting and even satellites all utilize illumination optics. A good optical design determines, for example, the energy efficiency of illumination devices, the minimization of light pollution or the sensitivity of sensors in satellites. The design of novel, sophisticated optical systems requires advances in the mathematical description and numerical simulation methods for these systems. The optics applied in illumination is non-imaging, in contrast to for example a camera lens which is imaging. In non-imaging optics we study the transfer of light from a source to a target. The key problem is to design optical systems that convert a given source energy distribution into a desired target distribution.
Application Deadlines: 20/11/2022
8. PhD Position in Netherlands’ Global Entangled History of Edible Oils
Summary of PhD Positions:
In this PhD project you will study how from the nineteenth century onwards, scientific knowledge, colonial developments and industrial modernization contributed to the development of transnational production chains of edible oils, fats and protein. These connected the Netherlands food and agriculture with the rest of the world. This historical study analyses the developments and provides perspectives for contemporary initiatives in protein and food transitions.
Application Deadlines: 20/11/2022
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9. PhD Position in Engineering Collagen Architecture
Summary of PhD Positions:
In this PhD research, which is part of the Dutch Gravitation program Materials Driven Research, we will exploit our recently developed cartilage organoids, produced from human chondrocytes or progenitor cells, to grow thick hyaline cartilage. This tissue growth process will be perturbed in an in vitro culture system to create varying collagen fiber architectures to understand how this could be influenced by the physical-chemical environment during tissue growth.
Finally, smart biomaterials will be used to create unique tissue growth environments to guide the formation of the desired collagen architectures and applied in ex vivo osteochondral explant bioreactor systems to simulate in situ cartilage regeneration. In addition to molecular biological, biochemical, histological assessment methods, advanced microscopic methods will be used to visualize the collagen architecture. Furthermore, functional assessment of cartilage mechanical properties will be an essential element.
Application Deadlines: 30/11/2022
10. PhD Position in Cartilage Organoids
Summary of PhD Positions:
In this PhD research, we will first develop methods to generate large volumes of cartilage organoids from human induced chondro-progenitor cells (hiCPCs) modified for allogeneic use. Currently, we use animal derived additives to grow cartilage organoids from mature chondrocytes. In this project, we will adapt these methods for use with progenitor cells. We will explore culture conditions and growth factor additives as well as develop a synthetic replacement for the animal product. Finally, together with consortia partners, we will combine the organoids with unique hydrogels and biofabrication methods to engineer large-scale articular cartilage.
Application Deadlines: 30/11/2022
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11. PhD Position in active self-organization of DNA-coated colloids
Summary of PhD Positions:
In our lab, we take a biomimetic approach to addressing fundamental questions about biological self-organization. We build experimental model systems using soft materials such as colloids, emulsions, and polymers, that mimic specific features of living systems, such as the ability to self-organize, to move directionally, or to communicate chemically. In this project, you will address the question of how chemical communication can limit the size of self-organization. Many living systems don’t grow in all directions indefinitely but reach some finite length in one or more dimensions and regulate that finite size by sending chemical signals to their neighbors. The physics underlying this size regulation via chemical communication remains poorly understood.
Application Deadlines: 24/11/2022
12. PhD Position in Digital Twinning for control of web and belt handling in printing systems
Summary of PhD Positions:
The growing complexity in designing high-tech motion systems urges for a design approach that complements model-based design with state-of-the-art data-based learning techniques. Therefore, the overarching objective of the ‘Learning in Motion’ project is to develop a holistic approach towards using data-driven learning techniques for high-performance motion systems, in the sense that data-driven techniques will be used to improve and/or realise uniform performance of all components relevant in a motion system design. The PhD project associated to this vacancy aims to develop digital twins for web and belt handling in industrial printing systems, in collaboration with the company Canon Production Printing.
Application Deadlines: 30/10/2022
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13. PhD Position in AC-loss phenomena in superconductive coils for motion systems
Summary of PhD Positions:
As a PhD student you will be one of two main researchers in the project. The research will be jointly conducted in collaboration with Twente University. The research will be conducted within the Electromechanics & Power Electronics group of the department of Electrical Engineering. The research tasks include the characterization, modelling and localization of undesired parasitic phenomena that occur within high-temperature superconducting tapes (HTS) in stator-coils specifically intended for high-dynamic, translating actuators.
Application Deadlines: 23/10/2022
14. PhD Position in Structurally colored waterborne and biobased coatings
Summary of PhD Positions:
This project aims to investigate how to incorporate structural colours on waterborne (WB) biobased coatings. Some of the activities involved will be synthesis of polymers and/or liquid crystals and cholesteric networks, polymerization in aqueous media, chemical/physical characterization of polymers and coatings, and interfacial studies of colloids and soft matter. This research is expected to lead to more sustainable, economic and safe coloured coatings, and also create opportunities to fundamentally understand and control several processes occurring during application and drying of WB and biobased coloured paints, such as self-stratification and phase-separation.
Application Deadlines: 23/10/2022
15. PhD Position in AI-based CS for Next Generation High Capacity Photonic Networks
Summary of PhD Positions:
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.
Application Deadlines: 18/12/2022
16. PhD Position in Multiband Low Latency Optical Networks Node and Techniques
Summary of PhD Positions:
The PhD candidate will design, develop, and experimentally assess the novel multiband edge node in the B5GOPEN architecture. He/she will numerically and experimentally investigate optical edge node network architectures that are able to interconnect a number of novel optical technologies to be developed in the project such as photonic WDM switches and bandwidth-variable transceivers in order to support the required dynamicity and flexibility. Moreover, in order to enable concepts such as hardware disaggregation and virtualization of the metro node, the PhD candidate will design and implement the required opto-electronic interfaces and controller boards (also with the use of FPGA) to support programmability of the optical technologies developed in the project.
Application Deadlines: 18/12/2022
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17. PhD Position in experimental investigation of flash-back in laminar hydrogen flames
Summary of PhD Positions:
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 Deadlines: 31/10/2022
18. PhD Position in modelling of flash-back and burner optimization in hydrogen burners
Summary of PhD Positions:
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 numerically investigate hydrogen flame quenching and flash-back on heated burners. The Flamelet Generated Manifold technique will be assessed and improved for these operating conditions. Furthermore, the thermal stresses of burners will be assessed and models for minimization of thermal stresses and optimization of burner life time will be investigated.
Application Deadlines: 31/10/2022
19. PhD Position in Machine Learning assisted calibration for data convert
Summary of PhD Positions:
As a PhD candidate in the Integrated Circuits group, you will investigate a novel methodology to design and implement self-calibration techniques for data converters with the aid of Machine Learning (ML). During your PhD you will first identify the root causes (from a circuit perspective) responsible for data converter performance reduction due to operation in non-typical conditions or to aging effects. Next you will investigate suitable ML algorithms to periodically calibrate the data converter behavior and recover its nominal performance level. Finally, you will design a novel data converter embedding a ML-based self-calibration circuit on hardware, achieving state-of-the-art performance. Architectural, ML algorithmic and transistor-level design approaches will be considered in this challenging exploration.
Application Deadlines: 28/10/2022
20. PhD Position in Learning Analytics for supporting student well-being
Summary of PhD Positions:
In this PhD project, you will use learning analytics to monitor and improve student well-being in higher education in blended courses. In the first phase, you will develop predictive models based on students’ online behavior (e.g., clickstream data) to monitor student well-being. These prediction models will be evaluated across different student groups. In the second phase, you will iteratively design and develop feedback, such as learner dashboards, as part of larger interventions aimed at strengthening students’ academic resilience. You will take into account the relevant scientific theories and empirical findings on educational interventions that target student well-being.
Application Deadlines: 23/10/2022
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21. PhD Position in ADC and AI research for mm-wave automotive radars
Summary of PhD Positions:
In this position, you will combine your passion for integrated circuit design with the state-of-the-art achievements from the fields of data converters, RF front-ends, artificial intelligence, and algorithms and architectures for radars. Your work will be guided by supervisors from both Integrated Circuits and Signal-Processing area, while also being closely aligned with the application via our collaboration with NXP.
Application Deadlines: 31/10/2022
22. PhD Position in Beamforming and Sigma-Delta modulators research for Phased-array receivers
Summary of PhD Positions:
Are you eager to influence the next generation of wireless communications and integrated car radars? Do you want to dive into the world of integrated circuits and invent ways to combine various concepts together to attain new levels of application performance? This is a unique opportunity in which we would like to explore the possibilities of combining concepts from the fields of Phased-Arrays, Beamforming and Sigma-Delta design, in order to enable the next generation of wireless links that are capable of spatial discrimination. We want to use the results of this research to create innovative demonstrators for the next generation of wireless links.
Application Deadlines: 31/10/2022
23. PhD Position in integration of additive manufacturing in spare parts supply chains
Summary of PhD Positions:
We seek a PhD candidate for the research project “Integration of additive manufacturing in spare parts supply chains”. This exciting project is part of the “Robust and Light Additive Manufacturing component for Military systems (ROLIAC)” program, which is funded by the European Union. The candidate will work together with colleagues from other ROLIAC research partners. The goal of the research project is to investigate the added value of additive manufacturing in the military supply chain, set up to deliver spare parts in an area of operation. The insights will have broader applicability to other supply chains, e.g., those in the energy sector.
Application Deadlines: 06/11/2022
24. PhD Position in Building an Open Source Community for Room Acoustics
Summary of PhD Positions:
This PhD position is part of a larger project “A new era of room acoustics simulation software: from academic advances to a sustainable opensource project and community”. One of the main problems with the state of art in room acoustics modelling is the gap between developments at academia and the methods that engineers use. Together with the colleagues from the Acoustics group of the Built Environment faculty and several companies, in this project we will (1) further develop and validate room acoustics modelling methods, (2) develop a software prototype of these methods and (3) create a sustainable open-source (OS) community capable of continuing development and usage of the prototype beyond the timeframe of this project.
Application Deadlines: 25/10/2022
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25. PhD Position in Design of High-Voltage Actuators and Electric Field Predictions
Summary of PhD Positions:
Linear electromagnetic actuators form the core of many high-tech, high-performant motion systems. The urge for more performance translates into increasingly aggressive motion profiles, which in turn lead to increased mechanical, electromagnetic and thermal stress gradients in the materials of the actuator. The actuator design should be robust for these increasing stresses. This research focuses on improving the actuator design allowing for higher operating voltages while maintaining good thermal performance and reliability.
This can be achieved by choosing novel material types combining good thermal conductivity and electrical insulation properties or by extending the electrical capabilities of state-of-art materials and combining them with novel cooling technologies. This research will build forward on previous research which focused on high-voltage actuator design and infrastructure. The actuator design was based on an oil flow for electrical insulation and cooling of the actuator. This design shows significant potential, but for practical reasons, oil is not preferred in a vacuum environment which exists in some high-tech systems.
Application Deadlines: 23/10/2022
26. PhD Position in Thermal budget, Lifetime, & Multi-Physical Stress in High-Voltage Actuators
Summary of PhD Positions:
The research project will focus on the deployment of high operating voltage technologies, advanced insulation materials and cooling techniques (oil-free) in the field of advanced linear actuation systems for semicon applications. The focus will be the improvement of the thermal performance and reliability of high-voltage linear electromagnetic actuators for the high-precision industry.
Application Deadlines: 23/10/2022
27. Two PhD Position in Neuromorphic Computing with Oscillatory Neural Networks
Summary of PhD Positions:
We are seeking highly skilled and motivated candidates to tackle any of the following research areas:
PhD1: Novel devices for analog neuromorphic computing with oscillatory neural networks. Oscillatory neural networks (ONN) will be implemented with innovative material devices such as phase change insulator-metal transition devices based on VO2 and novel bilayer MO/HfO2 based analog memristors (where MO stands for metal oxide), also referred as MO/HfO2 resistive random-access memories (RRAM). Neurons will be emulated by their oscillatory behaviour via phase change VO2 devices and synapses are emulated via coupling weights among neurons via MO/HfO2 RRAM.
PhD2: Analog ONN design for multi-sensory cross domain learning and inference. The goal here is to develop in functional hardware the analog ONN computing paradigm for multi-modal sensory data processing for use cases in vehicle intelligent interior systems or human-robot collaboration. Two main paths will be explored with i) conventional CMOS technology and ii) innovative materials and devices throughout the project. FPGA implementation will be also explored as a fast and low-cost implementation of ONN computing paradigm with multi-sensory system and real-time data processing.
Application Deadlines: 30/10/2022
28. Six PhD Position in the field of modelling of three-phase flows with catalytic particles
Summary of PhD Positions:
We are looking for 6 PhD candidates for projects concerning the modeling of transport-phenomena in slurry-bubble columns. This chemical reactor type is encountered in a variety of large scale manufacturing processes such as the production of fuels, chemical building blocks, and many other products. In this research we focus on three-phase gas-solid-liquid multi-component systems with catalytic particles, which are frequently encountered in industrial applications, but have not been tackled fundamentally before due to their complexity.
Application Deadlines: 30/11/2022
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29. PhD Position in Smart and analyzable scheduling solutions for real-time systems
Summary of PhD Positions:
The project focuses on designing analyzable machine-learning (ML) based scheduling solutions for real-time systems (i.e., systems that require both functional and temporal correctness). What makes this project distinct from the existing learning-based scheduling solutions is that it focuses on the analyzability of the solution so that the result can be used in safety-critical real-time systems, where the end-to-end worst-case response time (WCRT) of each system functionality must be smaller than its deadline to ensure the system’s safety.
Application Deadlines: 25/10/2022
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30. Four PhD Position in Seamless design of Smart Edge Processors
Summary of PhD Positions:
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.
Application Deadlines: 28/10/2022
31. PhD Position in AI-driven calibration of Analog-to-Digital converters
Summary of PhD Positions:
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.
Application Deadlines: 23/10/2022
32. PhD Position in Modelling and multiscale design of active mechanical metamater
Summary of PhD Positions:
The objective of this project is theoretical and computational multiscale design of active mechanical metamaterials for engineering applications. To achieve this goal, the project will cover several aspects of the design, multi-scale modeling, and testing of active materials. (i) Development of finite element modeling tools to estimate resulting effective properties based on first-principle models. (ii) Optimized microstructures and devices will be further sought for, exploring available design space by inverting structure-property maps. Topology optimization as well as machine learning techniques will be considered. (iii) Applications including shape morphing and self-folding, or switchable stiffness will be targeted, making use of the tools and concepts developed in previous steps.
Application Deadlines: 31/10/2022
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33. PhD Position in Quantum Simulation Experiments with Trapped ions and ultracold atoms
Summary of PhD Positions:
In this PhD project, you will work in an AMO laboratory and build a new experimental setup that combines trapped ions with ultracold atoms. The goal is to study the interactions between a trapped ion impurity and an ultracold gas of atoms. The work will involve designing the ultra-high vacuum setup, setting up optics, lasers and electronics as well as, programming, scientific reporting and data measuring and analysis. You will work in an international team with one other PhD Students and the principal investigator.
Application Deadlines: 01/11/2022
34. PhD Position in behavioral autonomy for medical robots
Summary of PhD Positions:
In this project we want to devise and experimentally validate novel navigation and control approaches for a system of medical robots in order to increase their level of autonomy and accuracy with respect to task execution. The type of tasks targeted by the project is in the domain of image guided therapy interventions. The first PhD student will focus on motion control of a system of robotic manipulators with high accuracy and replicability requirements. The second PhD student will focus on the degree of autonomy of the system, in particular, on obstacle avoidance.
Application Deadlines: 13/11/2022
35. PhD Position in synthesis of battery electrodes
Summary of PhD Positions:
In this project, the PhD student will work on developing new porous electrodes by using polymer phase separation. The researcher shall develop a deep understanding of polymer dynamics and phase separation thermodynamics to be able to predict the resulting polymer structures and their relationship to the final battery performance. Our ultimate goal is to build an experimental pipeline, supported by theory, to synthesize porous electrodes with controlled three-dimension structures and composition for metal-air redox flow batteries. This multidisciplinary project will leverage principles of polymer chemistry and physics, electrochemical engineering, and transport phenomena.
Application Deadlines: 02/11/2022
36. PhD Position in Modelling and Simulation of nanotube-based profiling
Summary of PhD Positions:
This PhD position aims to understand the nonlinear dynamics that drive the probe motion in the neighbourhood of high-aspect ratio sample structures. In particular, van der Waals-type attractive forces, electrostatic forces and squeeze-film damping forces will bring a strongly nonlinear force-position dependency, which, in contrast to conventional approaches, cannot be understood by a spherical tip & flat surface approximation. Hence, a 3D force model of the probe tip in the vicinity of the sample will be developed.
Application Deadlines: 30/10/2022
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37. PhD Position in Control for Nanotube-based profiling
Summary of PhD Positions:
This PhD Position aims to provide the control techniques required to keep the probe in proximity of the sample and to ensure that the metrology objectives are achieved. Control challenges on the nanotube-based profiling include 1) navigation of the probe towards the point of interest on the sample; 2) facilitating the 2D profile sensing and selecting the correct sensing direction for this part of the sample; and 3) profile reconstruction based on measurement signals. This PhD will contribute to these challenges as follows.
Application Deadlines: 31/10/2022
