Eindhoven University of Technology, Netherlands invites online application for multiple fully funded PhD programs 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 on static and dynamic optimization for transport and logistics
Summary of PhD Positions:
We are looking for a PhD candidate with a background in operations research, mathematics, econometrics, industrial engineering, or computer science. Especially candidates with the interest to work on the interface of optimization and AI are highly encouraged to apply. The project is centered around the development of new optimization methods (using machine learning, operations research, AI, deep reinforcement learning) needed for solving challenging operations management problems in, for example, retail operations, transportation, and logistics. Project Description: Organizations frequently make decisions while facing an uncertain future. For example, inner-city stores are replenished by trucks before sales are known, and ICU beds are reserved each day before COVID-19 patient inflow is known. Making good decisions is essential for organizations and society. For example, congestion and pollution from trucks in inner-cities are reduced, and COVID-19 and regular patients receive better healthcare. In this project, we focus such problems that require both a structural decision and daily dynamic decisions. The structural decision, for instance the reservation of ICU capacity for the coming days or weeks, has to consider the structure of the daily dynamic decisions, for instance the allocation of patients between hospitals.
Application Deadlines: 29/05/2022
2. 3 PhD positions on social tipping dynamics in sustainability transitions
Summary of PhD Positions:
Would you like to do research that helps accelerate the energy transition? We offer 3 fully funded 4-year PhD positions on the research team of the ERC project FAST: Fostering social tipping dynamics to accelerate sustainability transitions. The FAST project aims to explain and model social tipping dynamics and interventions in energy transitions. Existing models that form the basis for energy transition scenarios typically do not include the positive feedbacks resulting from the interactions between civil society and energy transitions. Yet these interactions have been identified as important drivers and barriers of energy transitions and as crucial in triggering the social tipping dynamics that can accelerate the energy transition. Social tipping dynamics in energy transitions occur when a small change or intervention has a large effect on emission reductions. As a PhD student, you will do empirical research into social tipping dynamics using discourse analysis and data analysis techniques, looking into solar, wind and nuclear energy in different countries. You will use this data to create simulation models of social tipping dynamics.
Application Deadlines: 02/06/2022
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3. PhD Position on 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: 02/06/2022
4. PhD Position “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. To reach this objective, the project focuses on designing scalable and accurate analysis techniques and tools to derive the WCRT of a learning-based scheduler. This can be achieved by defining effective system abstractions that allow performing a scalable yet accurate reachability analysis on the space of all possible system behaviors that could be observed under the proposed smart scheduler.
Application Deadlines: 31/05/2022
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5. PhD on “Modelling and multiscale design of active mechanical metamaterials”
Summary of PhD Positions:
We are looking for a highly creative and motivated PhD candidate to join Mechanics of Materials section at Eindhoven University of Technology (TU/e). The position is in the group of prof. Marc G.D. Geers, and will be co-supervised by Ron H.J. Peerlings and Ondrej Rokos. Context. Metamaterials owe their name to unprecedented effective behavior that typically cannot be found in natural materials, such as being ultra-stiff & ultra-light, having auxetic behavior, or negative compressibility. Such behavior typically emerges from metamaterials’ micro-structural morphology rather than from the properties of individual material constituents. Recent trends in metamaterial design aim at their actuation, using, e.g., discrete mechanical, pneumatic, thermal, chemical, or electromagnetic actuation. Metamaterials thus offer a significant design space, which can be exploited in numerous engineering applications such as artificial muscles, medical robotics including minimum invasive surgery, bio-implants, soft robotics, or self-folding systems.
Application Deadlines: 12/06/2022
6. PhD position on Smart Manufacturing in Green Transportation
Summary of PhD Positions:
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Application Deadlines: 08/06/2022
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7. Funded PhD Programs
Summary of PhD Positions:
Are you eager to work on smart and sustainable manufacturing in the green transportation sector? And do you have interests in digital twins and AI techniques? Then we are looking for you to support our “Green Transportation Delta” project as a PhD candidate with a background in operations research, mathematics, industrial engineering, mechanical engineering or computer science. Candidates interested in working on optimization in combination with AI techniques are highly encouraged to apply. Project Description Sustainable transport to achieve the climate objectives both nationally and internationally is getting more and more important. With innovative battery technology as a core component of these developments, the project “Green Transportation Delta” (GTD) stimulates an integrated approach to research & development (R&D) in the Dutch battery value chain. The main goal of the project is to accelerate the transition to climate-neutral mobility, which promotes a circular economy and develops a strong, competitive manufacturing industry that contributes to the future earning capacity of the Netherlands. This will be achieved through activities in the development, production, and application of batteries and charging solutions in-house and R&D in the field of battery-electric transport, with an in-depth and multi-year cross-sectoral cooperation at the chain level. The activities within the GTD project are divided into tasks across the battery value chain and target multiple applications in the mobility sector (e.g., passenger cars, buses, trucks, trailers, boats, etc.).
Application Deadlines: 08/06/2022
8. PhD in Warm Technology and Care Ethics
Summary of PhD Positions:
The PhD research is on care between humans and artificial agents, e.g., chatbots, and how that can best scale up for the specific context of dementia care. The project thus investigates 1) relations of care, such as care-related roles that agents can take on, e.g., caring for people who have dementia and their caregivers; 2) conversational AI, i.e., designing targeted warm care agents in a scalable manner; 3) responsible engineering on the ethics of human-agent interactions concerning vulnerable groups. Regarding research, we are interested in fusing together “warm technology”, i.e., empowering people through the design of technology, with conversational AI and responsible engineering that stems from care ethics. In terms of policy recommendations, the project aims to articulate responsible engineering practices for future AI projects in dementia care and beyond.
Application Deadlines: 14/06/2022
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9. Call for PhD student: Temporalities of More-than-Human Care
Summary of PhD Positions:
With societal concerns related to sustainability and inclusivity, there is a need for alternative care relations beyond the dominant (often exploitative) relationship centered around human values and temporalities. Time as material for design, in relation to processes of aging and degradation, practices of repair, and more recently, characteristics of living materials all have been emphasized in design and HCI literature. However, time is often a taken-for-granted aspect of thriving with humans and nonhumans through care. The risk of not looking into the temporalities of more-than-human care is in overextending our (humans’) agency in the ecosystem which threatens the livelihoods of humans and nonhumans. This PhD project aims to investigate the temporalities of more-than-human care for designing with and/or living with living artifacts. Over the last two decades, design and HCI scholars have turned to live materials that grow, adapt, and regenerate, exploring novel forms of fabrication and co-habitation with nonhumans. Biological and AI-driven non-humans are increasingly mingled in conceptions of technological systems that are self-sustained by design or alternatively require humans to care for them and keep them alive over time. Pertaining to both trajectories is the need for posthumanism in conceptualizing more-than-human care.
Application Deadlines: 15/06/2022
10. PhD Position: Built cultural heritage: from diagnosis to intervention
Summary of PhD Positions:
The lack of timely diagnosis and appropriate intervention threatens the preservation of built cultural heritage. For instance, modern concrete heritage is now reaching an age when deterioration and corrosion become significant. Reinforced concrete structures have started to be built in the Netherlands in the early 1900s. A large number of the surviving early 20th century structures are now listed monuments or well-known community landmarks. Structures build after World WII are now coming into attention, and facing challenges in terms of material damage. The most common damage types applicable are carbonation- and chloride-induced corrosion. Recent research has brought attention to the accelerated damage to built structures due to increased temperatures and relative humidities, increased CO2 levels, and more frequent drying and wetting cycles which induce salt damage. After determining the type of damage through visual inspection, in most cases the cause of the damage is still not clear. For instance, the main type of damage and the most dangerous to the life and safety of the concrete structure is reinforcement damage. However, if the corrosion is due to chloride attack (38% of cases), carbonation (17%), matrix-induced effects such as shrinkage/expansion (14%), or a mixture of these, cannot be easily determined.
Application Deadlines: 30/06/2022
11. Prestigious PhD Position on 5G-and-Beyond mm-Wave Exposure Reduction
Summary of PhD Positions:
The ongoing introduction of new telecommunication technologies (5G and beyond) comes with changes in exposure patterns and of biological interaction with humans and ecosystems. ETAIN aims to assess the impact of existing and novel communication technology on planetary health. ETAIN will explore options for exposure reduction, and interact with the public and stakeholders about exposure levels and possible associated risks. Following a citizen science approach, an app will be developed that is able to quantify personal absorbed radio-frequency electromagnetic fields (RF-EMF). The app will allow to empower citizens to manage their own RF-EMF exposure. ETAIN will develop and validate network architecture approaches for an “ALARA (as low as reasonably acceptable) by design” approach. Finally, it will elucidate underlying mechanisms of biological effects in humans and the environment. The ETAIN consortium consists of partners from the Netherlands, Belgium, Switzerland, Greece, Spain, France and Cyprus, combining a large variety of expertise to achieve ETAIN’s goals. The project is expected to generate scientific evidence of and mitigation mechanisms to RF-EMF exposure effects on human, ecosystem and planetary health, feeding into policies and current regulatory frameworks.
Application Deadlines: 19/06/2022
12. PhD position Intelligent network slicing management
Summary of PhD Positions:
Beyond-5G(B5G)/6G networks are expected to serve many applications (e.g., autonomous vehicles, remote surgery and digital twins) that pose stringent requirements on Telecommunications Network in terms of latency, data rates, reliability and availability. Thanks to the Network Slicing mechanism enabled by the network function virtualization (NFV) and Software Defined Networking (SDN) techniques, the B5G/6G networks exhibit immense potential for meeting these challenges posed by the stringent application requirements. In the last decade, there has been a significant progress in the area of network slicing for core networks and many new approaches/tools have been proposed. However, the emerging dominance of Mobile Edge computing (MEC) and its strong coupling with Radio access networks (RANs) require a complete rethinking of the Network Slicing mechanism considering wireless access. In particular, the integration of RAN, core networks and MEC brings new challenges for enabling dynamic end-to-end network resource allocation. The main objective of this PhD position is to explore novel methods/techniques to meet the end-to-end network slicing requirements considering both the core networking and wireless access. In particular, the application of novel machine learning techniques such as Deep reinforcement learning (DRL) will be explored by the PhD candidate.
Application Deadlines: 22/06/2022
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13. PhD computational physical chemistry: modeling air-water interface
Summary of PhD Positions:
In physics, “plasma” is a special excited gas, sometimes named “the fourth state of matter”, which is generated by supplying sufficient energy to the gas. Low temperature atmospheric pressure plasmas are specific types of plasmas which are typically generated by applying electromagnetic fields to matter, and they are therefore not in thermodynamic equilibrium. In many cases, average electron energy is significantly higher than the energy of heavy particles. This allows plasma sources to produce a chemically rich environment very close to room temperature; a condition which enables the delivery of reactive species in a non-destructive and beneficial way to different surfaces, even to extremely heat sensitive ones, such as organic tissues. This is where, the new field of “plasma medicine” emerges which investigates the application of plasmas to biological targets for sterilization, wound healing, blood coagulation, drug delivery, cancer treatment, contamination control, food preservation, etc. The PhD candidate is expected to employ methods such as Density Functional Theory (DFT), and molecular dynamics (MD) to model air-water interface with the specific application of plasma medicine in mind.
Application Deadlines: 20/06/2022
14. PhD in Chemical Recycling of Polymers
Summary of PhD Positions:
No other man-made material has revolutionized social, industrial, as well as environmental aspects of humankind in such a short period of time as plastics. Polymeric materials can be found in almost every industrial sector ranging from food packaging to spaceships. Thus, a life without polymers as the ultimate resource of convenience seems unimaginable today. At the same time, effective recycling strategies are urgently required to tackle the issue of plastic pollution and to create the foundation of a sustainable society. Amongst established methods of plastic waste treatment, chemical recycling of polymers with the aim to recover the original monomeric species is highly sought-after. This recycling method allows for the production of fresh polymer products without loss of quality and resources. In this PhD project, you will develop innovative methods to recycle and/or upcycle traditional polymers as well as design novel polymeric structures that are more amenable to recycling (”design for recycling’’ approach). Your research will include the synthesis of smart monomers that can switch between polymerized and depolymerized states as well as introducing functional groups into polymeric backbones that can be cleaved under selected conditions. To enable efficient (de)polymerization reactions, you will use highly active and state-of-the-art photo- and organocatalysts.
Application Deadlines: 25/05/2022
15. PhD on Multiband Low Latency Optical Networks Node and Techniques
Summary of PhD Positions:
The H2020 5G PPP project B5G-OPEN targets the design, prototyping and demonstration of a novel end-to-end integrated packet-optical transport architecture based on MultiBand (MB) optical transmission and switching networks. MB expands the available capacity of optical fibres, by enabling transmission within S, E, and O bands, in addition to commercial C and/or C+L bands, which translates into a potential 10x capacity increase and low-latency for services beyond 5G. To realize multiband networks, technology advances are required, both in data, control and management planes. Concerning devices, these include new amplifiers, filterless subsystems, add/drop multiplexers, etc. Such technology advances complement novel packet-optical white boxes using flexible sliceable Bandwidth Variable Transceivers and novel pluggable optics. The availability of MB transmission will also lead to a complete redesign of the end-to-end architecture, removing boundaries between network domains and reducing electronic intermediate terminations. The control plane will be extended to support multiband elements and a ‘domain-less’ network architecture. The results will be shown in two final demonstrations exposing the project benefits from operator and user perspectives.
Application Deadlines: 21/08/2022
16. PhD on 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. Control and manage of such massive network elements and IT resources deployed in photonic networks becomes crucial to optimize and adapt those massive resources and match the heterogenous applications with different requirements as well as minimize their energy consumption. This will demand for novel low latency and scalable control systems. Autonomous operations and zero-touch networking are expected to enable a cost-effective and sustainable rapid photonic network growth. Zero-touch photonic networking is still in its early stages and requires the development of autonomous cognitive networking that entails closed-control-loop implementation collecting, analyzing, and making decisions on the photonic networks.
Application Deadlines: 21/08/2022
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17. PhD position on Engineering Brain-on-chip for AI computing
Summary of PhD Positions:
To investigate the crosstalk between cells and computers, we will develop an interface, which facilitates the connection between a neural cell network and a machine learning algorithm. The announced PhD position here focuses on devising the hardware of a compartmentalized microfluidic chip on microelectrode arrays (MEAs). Specially designed MEAs will form the interface to the in-silico control agents for the purpose of building a hybrid AI computer. For this position, relevant background knowledge and hands-on skills on neural cell culture, integrated microfluidics, sensors & actuators (MEA technology), and fast and high-quality data acquisition systems is essential. The successful candidate will critically review the state of the art (high-density versus low-density MEA tech) and creatively design a simple-to-use microfluidic platform that will have a central role in building the hard-ware of the hybrid AI system of connected neural circuits. We wished to address circuits and ideally individually cells in the neurocircuits by voltage or current injection. Furthermore, the techniques developed will have a wider applicability in material and toxicity screening, drug development and personalized medicine and the discovery of novel neuro-therapeutic interventions.
Application Deadlines: 29/05/2022
18. PhD in de novo design of ice-binding proteins
Summary of PhD Positions:
Ice-binding proteins (IBPs) protect against freeze damage in polar regions by keeping the nucleation and growth of ice crystals in check. How this works exactly is not yet known. You will engineer IBPs de novo, express and study these to elucidate the relation between IBP structure and function and explore the application potential of IBPs as cryoprotectants. In this project you will combine computational tools for protein engineering (de novo protein design, folding) with biochemical and structural biology techniques (protein expression, structure elucidation, activity assays) to modulate independently the various hallmarks of IBP activity. These include the ability of your novel ice-binders to depress freezing, inhibit recrystallization, control nucleation, and shape ice crystals. In collaboration with group members and external collaborators, you will investigate ice-binding of your designs at the single molecule level as well as their application potential in biomedicine focusing on e.g. cryopreservation of heart cells and tissues.
Application Deadlines: 05/06/2022
19. PhD Position on Bayesian Machine Learning for Audio Processing
Summary of PhD Positions:
This research program is aimed at developing modern machine learning methods that lead to improved performance of audio processing algorithms (e.g., for hearing aids). In particular, our approach is to study computational models of learning and adaptation in brains and apply these ideas to the design of personalization of audio processing applications. Key areas of interest include Bayesian machine learning, probabilistic graphical models (factor graphs), blind source separation, computational neurosciences and signal processing. We develop our own toolbox (see http://forneylab.org) for Bayesian inference and learning, so you should have a strong interest and background in professional code development. Please browse our web page http://biaslab.org for more information on our research goals.
Application Deadlines: 05/06/2022
20. PhD positions on 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: 05/06/2022
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21. PhD Control Techniques for Active Filtering Power Electronics Applications (WBG)
Summary of PhD Positions:
In the Power Electronics Lab (PEL/e) of the Electromechanics and Power Electronics (EPE) Group, we are looking for an outstanding PhD candidate to work on the application of Model Predictive Control (MPC) for SiC-based converter designs in Active Filtering applications. The research work will comprise the hardware design and implementation of a SiC-based converter prototype, investigating topological concepts and the associated control techniques that can provide versatile and robust control performance, low EMI and high power density. The research will be carried out in close collaboration with the R&D team of Hitachi Energy, High-Voltage Components Product Group. Specifically, the aim is to investigate the use of Model Predictive Control (MPC) for SiC-based converter designs featuring very high switching frequencies. This will be done in the context of an Active Filter application. The Active Filter is expected to feature high power density and low EMI, and present a robust performance against grid uncertainties, i.e. have the capability to adapt to changing grid conditions in terms of impedance and harmonic content. Given the versatility of the application requirements, HW design and control concept need to be investigated and developed together in a holistic manner.
Application Deadlines: 10/06/2022
22. PhD GaN-based Active Filter Design
Summary of PhD Positions:
In the Power Electronics Lab (PEL/e) of the Electromechanics and Power Electronics (EPE) Group, we are looking for an outstanding PhD candidate to work on the application of GaN-based converter designs in Active Filtering applications. The research work will comprise the hardware design and implementation of a GaN-based converter prototype, investigating topological concepts, design of magnetics and thermal management solutions that are necessary to scale up the use of GaN semiconductors in the range of tens of kWs. The research will be carried out in close collaboration with the R&D team of Hitachi Energy, High-Voltage Components Product Group. Specifically, the aim is to investigate the use of GaN semiconductors to produce power converter designs for power levels in the range of tens of kW. The designs will be relevant for an Active Filter application, and the converter is expected to feature ultra-high power density and low EMI, and present a robust performance against grid uncertainties, i.e. have the capability to adapt to changing grid conditions in terms of impedance and harmonic content. For this to be possible, the HW design needs to consider new topological concepts, as well as the use of novel materials and thermal management techniques. Moreover, the control system needs to be also taken into account and be developed in the context of the ultra-high switching frequencies that are achievable with GaN devices.
Application Deadlines: 10/06/2022
23. PhD in dependence modeling and copulas
Summary of PhD Positions:
We are pleased to announce that the Department of Mathematics and Computer Science of the Eindhoven University of Technology is opening a PhD position in Statistics. We are looking for a motivated and enthusiastic candidate to join the Statistics Group and conduct research in the area of dependence modeling and copulas. Dependence modeling is crucial in many applied fields where practitioners are interested in (1) detecting complex dependences in the data and (2) representing them in the modeling and estimation process through suitable statistical models. Copulas serve as powerful mathematical tools to construct flexible statistical models to represent complex dependence traits, such as tail dependence, non-exchangeability, positive/negative dependence properties. This project is expected to lead to novel theoretical results in the field of copula-based modeling. In addition, applications to real-world problems are also possible. The selected candidate will therefore have the opportunity to work with real-data and apply their findings to applied domains, such as climatology and weather forecasting.
Application Deadlines: 30/05/2022
24. PhD on Brain-computer interfaces & the disruption of the concept of personhood
Summary of PhD Positions:
As part of the inter-university research consortium, “Ethics of Socially Disruptive Technologies (ESDiT)” Eindhoven University of Technology (TU/e) in collaboration with UMC Utrecht and TU Delft are jointly seeking to hire a PhD student for a four-year project on “Brain-computer interfaces & the disruption of the concept of personhood.” Over recent years, rapid progress has been made in neurotechnology, including the ability to record and directly stimulate neural activity, with the potential to create increasingly effective brain-computer interfaces (BCIs). Such emerging neuro-technologies encourage us to consider new ethical questions, and force us to question some of our ingrained ethical intuitions and concepts. Of particular interest is the question of ‘what constitutes personhood’? In answering this question, Western philosophical approaches typically focus on notions such as autonomy, independence, unity, control and speech. These ontological framings of personhood quickly spill over into the ethical domain – shaping our views about concepts such as moral standing, responsibility, and what it means to have a life worth living.
Application Deadlines: 30/05/2022
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