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44 PhD Degree-Fully Funded at Delft University of Technology (TU Delft), Netherlands

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Delft University of Technology (TU Delft), Netherlands invites online Application for number of  Fully Funded PhD Degree at various Departments. We are providing a list of Fully Funded PhD Programs available at Delft University of Technology (TU Delft), Netherlands.

Eligible candidate may Apply as soon as possible.

 

(01) PhD Degree – Fully Funded

PhD position summary/title: PhD/Postdoc position in brain-inspired hardware for continual learning

While smart devices outline strong promises ranging from productivity gains in industry to smart cities and health-monitoring wearables, one major challenge hinders their deployment: long-term robustness. Once deployed, smart devices are currently unable to autonomously adapt to changes in their environments, new user features, and evolving task requirements. This implies either electronic waste through device replacement, or increased battery drain and maintenance costs for frequent over-the-air device updates.

Deadline : Open until filled

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(02) PhD Degree – Fully Funded

PhD position summary/title: PhD positions Biodegradable Medical Implants

Our group is developing biodegradable MEMS (Micro-Electro-Mechanical Systems) for medical implants, a new class of microsystems made entirely of biodegradable materials, including sensors, actuators, and electric circuits for wireless operation. Fabricating temporary-use devices from biodegradable materials avoids the need for a second surgery to remove the implants after their period of use. The development of new functional biodegradable materials (with tailored magnetic, electrical, mechanical, and chemical properties) and cleanroom-compatible fabrication processes (micromolding, thin films deposition, photolithography, etching) will enable the realization of fully biodegradable microsystems while retaining the established advantages of MEMS (small size, high precision, fast response time, low energy consumption, reliable large-scale production).

Deadline : February 1, 2024

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(03) PhD Degree – Fully Funded

PhD position summary/title: PhD position Foundation of Stochastic Partial Differential Equations

At the Delft Institute for Applied Mathematics (DIAM), part of Delft University of Technology (TU Delft), NL, a full-time PhD position in the mathematical analysis of stochastic partial differential equations is offered. The PhD candidate will be supervised by Prof. dr. ir. M.C. Veraar (part of the Analysis Group at DIAM). The focus of both of the projects is on well-posedness, regularity, long-time behavior, large deviations and/or approximation of solutions to parabolic and hyperbolic SPDEs of semi- and quasi-linear type. A background in Probability Theory and/or Analysis is preferable. For more information regarding Prof. dr. ir. Veraar’s research, please visit https://fa.ewi.tudelft.nl/~veraar/

Deadline : January 31, 2024

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(04) PhD Degree – Fully Funded

PhD position summary/title: PhD Positions Graduate Research on Worldwide Challenges

Societal challenges to be tackled under the UN Sustainable Development Goals (SDGs), especially in Africa include food security, accessible and affordable global healthcare, climate change and the energy transition, housing, clean water, political stability, sustainable production and more. Research is crucial to accelerating real-world solutions. As a PhD student your challenge is to realise your vision by conducting high-quality research. Would you like to work with leading scientists, NGOs, companies, government authorities and citizens on the African continent, while developing your competencies and career as a researcher? Join the Graduate Research on Worldwide Challenges (GROW) programme of five leading universities in the Netherlands. At GROW we have raised funds for 51 PhD positions, including funding from the European Union’s Marie Skłodowska-Curie Actions (MSCA) COFUND programme. With your background in natural sciences, social sciences & humanities or engineering you will put forward your idea for original SDG-oriented research. After selection, your supervisors will help you draw up your research proposal, with which you will cross the boundaries of disciplines and sectors in society. The possibilities are near infinite: you could e.g. conduct research into the water-energy-food nexus, harness the potential of biotechnology for sustainable production, or study the interaction between countries’ legal frameworks and the SDGs, how to improve access to education or how to promote decent employment through multinational businesses.You will conduct your research at Delft University of Technology, University of Amsterdam, Vrije Universiteit Amsterdam, Leiden University or Erasmus University Rotterdam. In addition, you will spend time in Africa to do fieldwork.

Deadline : 31 January 2024

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(05) PhD Degree – Fully Funded

PhD position summary/title: PhD student: High-throughput Electron Microscopy Development

Developing new pharmaceuticals, understanding how cancer cells respond to chemotherapy, or building ever more powerful computer chips – all this, and more, requires imaging at the smallest possible scales. Within the national research programs NEXTGEN HighTech and 3DNI we develop technology for super-fast 3D imaging of atoms, molecules, and cells. To achieve this goal, we engineer novel light and electron microscopy technology. Combining these with computer algorithms and artificial intelligence unveils details smaller than the wavelength used for microscopy.

Deadline : 31-01-2024

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(06) PhD Degree – Fully Funded

PhD position summary/title: PhD Position Pathogen Transport and Fate Modelling in Riverbank Filtration

Riverbank filtration is a nature-based treatment technique for drinking water. You will investigate how pathogens are transported and removed when surface water infiltrates riverbank sediments. This 4-year PhD position is part of the research project ‘Aquifer Treatment as Green Purification Technology for Sustainable Drinking Water Supply’ (AQUIPURA), funded by the Dutch Science Foundation (NWO). In this project, we will study the removal of various types of pollutants during riverbank filtration with field monitoring, lab experiments, and mechanistic model development. AQUIPURA is a Chinese-Dutch transdisciplinary consortium with pilot sites in both the Netherlands and China. The advertised position is one of four PhD positions available in the AQUIPURA project in different scientific disciplines.

Deadline : 15 January 2024 

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(07) PhD Degree – Fully Funded

PhD position summary/title: PhD Position from Interior to Orbit: Evolution of Outer Solar System Moons

The surfaces of the outer solar system moons look strikingly different. Io’s surface is doted by active volcanoes; Europa’s is crisscrossed by cracks and ridges; and Enceladus’ southern hemisphere has prominent cracks from which water plumes emanate. In contrast, other moons (e.g., Callisto, Mimas) are heavily cratered. This diversity evidence different evolutionary pathways. The evolution of the moons is shaped by the interplay between their interior and orbital dynamics. The exchange of energy between a planet and their moons via tidal and orbital interactions drives the interior evolution, which in turn is reflected in the moons’ surface characteristics. Recent discoveries challenge some of the main assumptions often invoked when studying the interior-orbital evolution of such systems. The fast orbital migration of Titan, measured by optical and radiometric data from Cassini, evidences that classic gas giant models are too simplistic; advances in material sciences show that current rheology models do not capture the complex behaviour of rock and ice; and recent theoretical work suggests that ocean tides in subsurface oceans, always ignored, can dramatically alter the evolution of icy worlds. In this project, you will apply state-of-the-art interior models for both gas/ice giants and their moons to examine the impact of these paradigm shifting discoveries on the evolution of the moons.

Deadline :  January 14, 2024

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(08) PhD Degree – Fully Funded

PhD position summary/title: PhD Position Developing Ecosystem Digital Twins with Remote Sensing to Combat Biodiversity Loss

Biodiversity loss has far-reaching and long-lasting consequences to our way of life, leading to reduced food security, increased vulnerability to natural disasters, deteriorating resilience to climate change, species loss, declining human health as well as economic and cultural losses. To combat this threat, international goals and targets have been defined in the 2022 Kunming-Montreal global biodiversity framework. Given the unprecedented rate of global change in climate, land use, and urbanisation, it is urgent to tackle these targets and goals. Of these challenges, the main pressing one in The Netherlands concerns the nitrogen deposition damage to biodiversity. Dutch nitrogen emissions per hectare are reported to be the highest in Europe. As such, ensuring effective control of nitrogen levels is important, which will require an expanded package of solutions based for the short (2030) and medium term (2050), as well as for locations close to and further away from Natura 2000 areas. For this purpose, the area of study will be focused on the Veluwe, as it hosts the largest nature area in the Netherlands in close proximity to both several recreational and agricultural facilities. To contribute to challenges of this area, biodiversity monitoring needs to transform into predictive science using ecosystem Digital Twins.

Deadline : 12 January 2024

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(09) PhD Degree – Fully Funded

PhD position summary/title: PhD 3D Super-resolution microscopy

We are looking for a candidate with a strong background in physics or in a physics related discipline. In particular, we want the candidate to have expertise in a branch of optical imaging, and development of experimental setups in, in combination with a skill set in computational techniques for developing theory and running simulations and data analyses. Good programming skills in e.g. Matlab, Python, C, or Cuda, are desired. Above all, we are interested in candidates with a passion for making methodological advances in science and technology.

Deadline : 9 January 2024

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(10) PhD Degree – Fully Funded

PhD position summary/title: PhD Position Computer Science on Algorithms for Planning and Monitoring for Reliable Automation

We consider human feedback to be essential for achieving reliability of automation in the real world. You will conduct both theoretical and empirical research. The project is inspired by real-world case studies from the Netherlands Railways (NS) and we envision results to have both significant scientific and practical impact. You will be part of the Algorithmics Group in the Department of Software Technology of the Faculty of Electrical Engineering, Mathematics and Computer Science. As a PhD researcher, you will reinforce and extend the group’s expertise in the interdisciplinary field combining real-time monitoring, planning under uncertainty, optimization, and machine learning. You will work in a dynamic and diverse environment of other PhD and postdoc researchers excited about making theoretical and algorithmic contributions in intelligent decision making. In addition, you will collaborate with experts at the Netherlands Railways and ProRail and four PhD students addressing other aspects of railway automation.

Deadline : January 9th, 2024

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(11) PhD Degree – Fully Funded

PhD position summary/title: PhD Position Data-driven Approaches for Monitoring and Assessing Contaminants in Marine Environments

In this PhD project we will develop novel data-driven and machine-learning-based approaches for monitoring, assessing, and forecasting the evolution of concentration of contaminants (such as microplastics, antibiotics, etc.) in coastal and ocean waters. This PhD project is part of the Horizon Europe project ONE-BLUE (Integrated approach to assess the levels and impact of contaminants of Emerging concern on BLUE health and biodiversity modulated by climate change drivers). Contaminants of emerging concern (CECs) comprise a large variety of contaminants, including chemicals, microplastics, antibiotics, etc. CECs have been found in marine environments, and the bio-accumulation and bio-magnification of some CECs has been proven. In this context the goal of ONE-BLUE is to develop an integrated system for monitoring CECs in coastal and ocean waters, and assessing and forecasting their impact on marine ecosystems and their biodiversity, including combined effects due to climate change.

Deadline :  8 January 2024

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(12) PhD Degree – Fully Funded

PhD position summary/title: PhD Position Machine Learning for Multi-Sensor Detection and Classification for Autonomous Underwater Robots

In this PhD project we will develop novel machine-learning-based approaches for detection and classification for underwater robots using video, sonar images, and magnetic sensor data. The overall aim is to locate, detect, and collect unwanted objects from coastal waters and seabeds. In this way the project contributes to keeping coastal waters clean, to protecting the environment, and to realizing global sustainability objectives. This PhD project is part of the Horizon Europe project SeaClear2.0 (Scalable full-cycle marine litter remediation in the Mediterranean: Robotic and participatory solutions, see also https://www.seaclear2.eu). The goal of SeaClear2.0 is to develop a collaborative multi-robot solution engaged in collecting marine waste using autonomous underwater robots. The aim is to realize efficacious marine litter detection and collection, while at the same time minimizing impact on underwater flora and fauna like seaweed and fish. This goal will be reached by bringing together state-of-the-art technologies from the fields of machine learning, control. optimization, and marine technologies and by building a stable and trustworthy system that is able of tackling sea and ocean pollution.

Deadline : 8 January 2024

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(13) PhD Degree – Fully Funded

PhD position summary/title: PhD Position Effect of Defects in Wind Turbine Blade Manufacturing

As a Ph.D. researcher, you will spearhead a critical investigation into the effects of manufacturing defects within the spar cap/shear web assembly—the backbone of wind turbine blades. Your work will address the inherent challenges posed by defects such as fiber misalignment, porosities, and uneven cure, which jeopardize the structural integrity and longevity of the blades.

Deadline :   7 January 2024

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(14) PhD Degree – Fully Funded

PhD position summary/title: PhD Position Fatigue Crack Initiation and Propagation in Complex Bonded Steel-Composite Joints

The research focus of the department Engineering Structures is placed on the investigation and development of resilient, smart and sustainable structures and infrastructures as well as on the structures for energy transition. Within these main themes research is carried out into the dynamics of structures, mechanics of materials related to e.g. climate change, modelling and design of railway systems, multi-scale modelling of pavement materials and structures, reuse of materials, structures and parts of structures, assessment methods for structures, smart monitoring techniques, design methods, replacement and renovation of civil infrastructure and development of new materials and maintenance techniques. The groups are using the unique Macro Mechanics Laboratory for full scale testing, monitoring and modelling of structures to facilitate implementation of innovations. The department delivers a large number of courses both at the BSc and MSc level.

Deadline :7 January 2024 

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(15) PhD Degree – Fully Funded

PhD position summary/title: PhD Position Multivariate Uncertainty Characterization of Critical Components in Manufacturing Processes

The manufacturing sector is experiencing an evolving trend, marked by exponential growth in additive manufacturing, the ongoing 4th industrial revolution (Industry 4.0), and increasing demand for customized products. However, its production and economic growth must align with essential sustainability guidelines, focusing on minimizing energy losses. To fully sustain this transition of the EU manufacturing sector, two key challenges need to be tackled: production process uncertainty (e.g., human errors, geometrical and material variabilities) and the complexity of manufactured goods with critical parts or components. In order to tackle these challenges, the Active PRoduct-to-Process LearnIng fOR Improving Critical Components Performance (APRIORI) training network has been created. This project (no. 101073551) is funded under the Marie-Sklodowska-Curie Actions Doctoral Networks within the Horizon Europe Programme of the European Commission.

Deadline :  7 January 2024 

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(16) PhD Degree – Fully Funded

PhD position summary/title: PhD position Stochastic processes on scale-free and spatial random graphs

We are looking for a highly motivated candidate to work under the supervision of Dr. Julia Komjathy, Associate professor in the Applied Probability group of Delft Institute of Applied Mathematics (DIAM). The PhD position is in the area of discrete probability theory, random graphs and stochastic processes on random graphs. Spatial networks and processes on them are the hidden backbone of our modern lives: the internet, social media, electric grids, road networks, and infectious diseases, for example. Since the 1950’s several simple models have been developed to study these phenomena. Surprisingly, even the simplest models exhibit deeply complex behaviors: they have become a focal point for modern Probability Theory. Recently, we discovered a model class that contains many simple classical models but is much larger, without being more complicated: kernel‐based spatial random graphs (KSRGs). KSRGs exhibit an even richer level of complexity.

Deadline : January 7, 2024 

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(17) PhD Degree – Fully Funded

PhD position summary/title: PhD Position Uncertainty Quantification of Physics-Based and Machine Learning Models of Critical Industrial Components

The manufacturing sector is and will continue to experience an evolving trend, marked by the exponential growth of additive manufacturing, the ongoing 4th industrial revolution (Industry 4.0), and an increasing demand for the customization of manufactured products. However, the production and economic growth of the manufacturing sector need to meet unpostponable sustainability guidelines and criteria. This means minimizing energy losses as much as possible. To fully sustain this ongoing transition of the EU manufacturing sector, two key technical challenges need to be simultaneously tackled: the uncertainty induced by the production process (e.g., human errors, geometrical and material variabilities caused by the manufacturing process and/or by the machine setup) and the increasing complexity of the manufactured goods characterized by the critical parts or components. In order to tackle these challenges, the Active PRoduct-to-Process LearnIng fOR Improving Critical Components Performance (APRIORI) training network has been created. This project (no. 101073551) is funded under the Marie-Sklodowska-Curie Actions Doctoral Networks within the Horizon Europe Programme of the European Commission.

Deadline : 7 January 2024

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(18) PhD Degree – Fully Funded

PhD position summary/title: PhD Position Operational Decision Support for Reconfigurable Value Chains

The manufacturing industry faces turbulent market conditions, uncertain and extensive sustainability requirements, and increasingly challenging network disruptions. In this dynamic environment, industrial networks and manufacturing/production chains need to be resilient and reconfigurable. However, network and chain reconfigurations are particularly difficult since multiple stakeholders, with different needs and values, are typically involved. Moreover, in such dynamic environment interactions between stakeholders also change over time. Therefore, solutions to monitor, measure and control the dynamic interaction process between multiple stakeholders are needed. This is a preliminary requirement to enable fast and cost-effective network reconfigurations.

Deadline : 6 January 2024 

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(19) PhD Degree – Fully Funded

PhD position summary/title: PhD Position in Global Value Chain Economics

Technology was an enabler for the emergence of international value chains and will remain highly relevant for future reconfiguration. The competition for technological leadership in the digital domain and resulting geopolitical frictions are as relevant as the growing awareness of the vulnerabilities of existing supply chains. These vulnerabilities reflect the prioritization of efficiency by lead firms in the organization of their production networks, which came at the expense of supply chain resilience and robustness. Concerns about resilience have grown with ‘systemic rivalries’ and the strive for ‘technological sovereignty’. It is unclear yet whether the ‘reshoring’ of economic activities will make value chains less vulnerable to adverse shocks. You are expected to do research in the field of international value chain economics leading to a PhD thesis. Your work will contribute to the research of the ETI section, which has a quantitative focus. The research undertaken is expected to be both original and related to ‘real world’ problems, thus contributing to existing societal challenges.  

Deadline : 5 January 2024

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(20) PhD Degree – Fully Funded

PhD position summary/title: PhD position Sequential Decision Making

We are looking for a motivated candidate to work on the topics of theoretical machine learning, specifically in the domain of sequential decision making, which includes bandit problems and theoretical reinforcement learning. The primary objective of this project is to analyze and design learning algorithms and provide formal guarantees regarding their performance. To achieve this, you will need to apply advanced mathematical and statistical techniques. The project is situated in the context of efficient online learning, with a focus on scaling with model complexity and function approximation.

Deadline : January 5, 2024

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(21) PhD Degree – Fully Funded

PhD position summary/title: PhD Position Thermal Management Systems for Sustainable Aviation

The Thermal Management and Air Supply Systems (Thermische and Pneumatic Systemen) project is part of the large (383m€) Dutch Research program on Sustainable Aviation (Luchtvaart in Transitie) funded by the Ministry of Economic Affairs and Climate Policy (Ministerie van Economische Zaken en Klimaat). In this project, the Propulsion and Power group teams up with Aeronamic and NLR with the objective of developing next-generation Vapour Compression Cycle System (VCS) technology to provide thermal management aboard future aircraft. The key component of this system is a unique high-speed centrifugal compressor, characterized by high power density, which extracts the working fluid from the evaporator to deliver it to the condenser. The research activities involve the further development of an in-house software environment to perform multi-point preliminary design optimization of the VCS. Given that the VCS performance strongly depends on the compressor operating map and that the overall system weight has to be minimized, the optimization of the VCS thermodynamic cycle has to be addressed simultaneously with the preliminary design of the compressors and the heat exchangers. To reduce the system model complexity, a reduced-order model of the centrifugal compressor has to be derived and implemented in the in-house software environment. At the same time, as the design specifications of the compressor and those of the thermodynamic cycle depend on the characteristics of the working fluid, part of the research will be dedicated, with the support of the project partners, to the identification of the optimal working fluid for the application. Moreover, the component models of the VCS will be validated by experimental studies in the unique IRIS setup operated by the group. The IRIS implements an inverse organic Rankine cycle and provides a test section for high-speed compressors and another for the testing of heat exchangers.

Deadline : 3 January 2024 

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(22) PhD Degree – Fully Funded

PhD position summary/title: PhD Position Environmental Vibrations and Acoustic Emissions from Offshore Foundation Installation

Foundation piles for offshore wind become larger (XXL piles), and installation technologies develop further to drive those piles at target penetration depths. These piles radiate noise at low frequencies, usually below 150Hz, for which a more accurate soil description is required (and soil-structure-fluid interaction) since the majority of the energy (>90%) is inserted into the soil and a significant part can channel back into the seawater. Moreover, current numerical models are slow and do not allow for large number of simulations which are usually required for design purposes. At the same time, vibratory installation technologies are under development in order to reduce the noise at-the-source. To date, no validated model exists to predict the noise radiation and seabed vibrations from vibratory installations offshore. This PhD work aims to develop a semi-analytical model for underwater noise emissions applicable to XXL piles for vibratory and impact piling installations. The predictions of the mathematical model will be verified against lab-scale experiments and full-scale datasets. The proposed models also aim to provide a statistical determination of the possible uncertainty due to the variation or lack of accurate dynamic soil parameters. The model will be amended with noise mitigation elements at-the-path to the receiver, to assess the noise mitigation performance of various systems, i.e. air-bubble curtains, HSD systems, etc., and to optimise the overall mitigation strategy. The outputs of this model , including the particle motion and vibrations, shall provide input to the bio-acousticians and policymakers to assess the noise impact on the fish, mammals and invertebrates.

Deadline :  31 December 2023

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(23) PhD Degree – Fully Funded

PhD position summary/title: PhD Position in Quantum Networks

The vision of a Quantum Internet is to provide fundamentally new internet technology by enabling quantum communication between any two points on earth. Such a Quantum Internet will – in synergy with the ‘classical’ Internet that we have today – connect quantum processors in order to achieve unparalleled capabilities that are provably impossible using only classical communication.

Deadline : Open until filled

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(24) PhD Degree – Fully Funded

PhD position summary/title:  PhD Position Radar Signal Processing for Next Generation Vehicular Networks

Automotives in next-generation vehicular networks will be equipped with advanced communication and multi-modal sensing capabilities. Existing radar sensing solutions, however, are not designed to leverage this connectivity and sensing infrastructure. The PhD project will address this gap by developing advanced signal processing algorithms that make the best use of the available infrastructure. We have a full-time PhD vacancy focusing on distributed signal processing on radar data using the communication backbone network. The goal is to exploit vehicular connectivity to enhance perception in mixed traffic conditions where vehicles have varied sensing capabilities. The candidate will be embedded in the research group of Dr. Geethu Joseph and will have close collaboration with colleagues from the section Signal Processing Systems and the department Microelectronics within the Faculty of EEMCS at the TU Delft and the Faculty of 3mE. The PhD candidates will also work in close collaboration with industry experts from NXP. 

Deadline : December 31, 2023

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(25) PhD Degree – Fully Funded

PhD position summary/title:  PhD Signal Analysis for Biomedical Imaging

We offer an exciting PhD position at TU Delft in the field of biomedical image analysis and data processing. Apply now and contribute to a better reconstruction of complex fiber networks, e.g. nerve fibers in the brain. The position is in the group of Dr. Miriam Menzel, at the Department of Imaging Physics. The group has developed an imaging technique that exploits the scattering of visible light to visualize complex fiber structures in biological tissues. Your main focus will be to analyze the measurement data (light scattering patterns), and develop enhanced image processing and signal analysis tools to improve the reconstruction of fiber structures and to extract additional information from the measured scattering signals, such as tissue composition or fiber sizes. Prior knowledge about the imaging technique and/or biological tissues is not required. You will have access to a large database of measured scattering signals from known fiber structures which you can use to train your algorithm, and to learn how to better interpret the data, recognize patterns, and distinguish between different fiber structures – in the brain as well as in other biological tissues. Computational Scattered Light Imaging (ComSLI) is a highly promising new imaging technique that resolves fiber pathways and their crossings with micrometer resolution. While other scattering techniques raster-scan the tissue with a light beam and measure the distribution of scattered light behind the sample, ComSLI uses a reverse setup: The whole tissue section is illuminated from many different angles and the normally transmitted light is measured, thus enabling much higher resolutions and requiring only standard optical components (LED light source and camera).

Deadline : Open until filled

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(26) PhD Degree – Fully Funded

PhD position summary/title:  PhD Position AI for Quantitative Ultrasound Biomicroscopy

Artificial intelligence (AI) concepts are propelling nearly all computer vision-intensive applications in life science, biomedical research, space exploration, high-tech manufacturing, and security technology. Modern neural networks are trained to perform a specialized task using very large sets of data. The feature of adapting to data by extracting the essential information and using it to form decisions or make predictions in a “black box” is what makes this approach so powerful for many applications. For scientific applications, however, this black box causes a serious dilemma: what is gained in performance is lost in interpretability of the solution. Also lost is the ability to integrate existing physical knowledge of the system. The aim of the IRIS and CHEME lab is to open the black box of AI and develop methodologies for context-independent, knowledge-based learning of imaging systems that will address fundamental challenges in all quantitative imaging applications. Physics prior and interpretability will be emphasized in our AI methodology development. The proposed AI-technology will be applied to electron, optical, and ultrasound imaging to unravel dynamic molecular processes in living organisms: conformational ensembles of proteins, single-molecule dynamics in thick tissue and super-resolved vasculature mapping in real-time. Within IRIS, you will pursue fundamental advances at the interface of AI, ultrasound imaging and bioengineering to visualize cellular processes deep within living organisms.

Deadline : 30th of december 2024

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(27) PhD Degree – Fully Funded

PhD position summary/title:  PhD Position Storm Wave Interaction with Hybrid Dune-Dike Coastal Defences

We are looking for an enthusiastic PhD candidate to join the international research team of the European project DuneFront. DuneFront aims at developing new knowledge and tools to optimize dune-dike hybrid Nature-based Solutions as a new generation of sustainable, aesthetic, nature-inclusive coastal protection. It focusses on ecology (e.g. Marram grass) and morphology of the dune, the safety of the combined dunes and dikes under waves and storm surges, and – most importantly – the interaction between these.  Within this multi-disciplinary project, your specific focus will be on the hydraulic efficiency of the dune-dike hybrid defence during extreme conditions. In such a hybrid coastal defence, the dune initially acts as a buffer and prevents wave overtopping of the dike. As the dune erodes, the dike becomes increasingly exposed to the waves. How storm waves interact with and impact both the (partially) eroded dune and the dike is still unknown because these systems have only been studied separately in the past. As a result it is still unclear how both systems, when combined, should be designed to reach a given safety level.

Deadline : 20 December 2023 

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(28) PhD Degree – Fully Funded

PhD position summary/title: PhD Position Probability Theory

The PhD position is in the area of probability theory and statistical mechanics. The PhD project is a NWO funded “open competition project” which deals with the study of metastability for dilute spin systems. These are classical models of statistical mechanics with bond disorder, i.e. where deterministic pair interactions are replaced by random variables. The main objective is to develop a robust mathematical approach to study the metastable behaviour of these models. Metastability is a universal phenomenon, where a system spends a long time in a state of “pseudo equilibrium” until it crosses over to a stable state. This project aims at identifying the quantities characterising the stochastic nature of this phenomenon, such as the average and the distribution of the random transition time.   

Deadline : 19 December 2023 

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(29) PhD Degree – Fully Funded

PhD position summary/title:  PhD 3D digital imaging metrology of semiconductor devices

Integrated circuits are the cornerstone of our digital society. The practical use of integrated circuits depends strongly on low-cost, high-quality assembly, packaging, processing, inspection, and connection of chips into electrical components. Control of these processes is done with high-performance optical imaging. When imaging at high resolution, wavefront aberrations deteriorate the image quality of these tools. Since these aberrations lead to a loss of accuracy in the alignment of the semiconductor devices it is of paramount importance to mitigate them. High resolution imaging over a large field of view will be implemented for digital holography. When imaging the wavefield over a large field of view the aberrations are spatially dependent. Therefore they require advanced non-isoplanatic correction techniques. The PhD candidate will model non-isoplanatic aberrations in optical systems and develop computational techniques to compensate for them. These techniques will then be implemented in a lab-based experimental digital holography setup. The performance of the developed techniques will be quantified and optimized both in terms of obtained spatial resolution as well as in computational times. Moreover, since these aberrations have to be corrected in an industrial-type high-throughput environment the computations for removing them have to be performed at high speed.

Deadline : 15th of December 2023

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(30) PhD Degree – Fully Funded

PhD position summary/title: PhD De-speckled optics using 3D written diffractive free-forms

We are seeking a candidate with a robust background in physics or a related discipline such as electrical or mechanical engineering. The ideal candidate will possess excellent programming and experimental skills, the ability to think abstractly, and the capacity to apply mathematical concepts to practical problems. While experience in optical imaging or optical illumination is highly desirable, it is not a strict requirement. The successful candidate will be flexible, capable of working independently as well as collaboratively, and driven by a passion for advancing the fields of science and engineering.

Deadline : 15-12-2023

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(31) PhD Degree – Fully Funded

PhD position summary/title:  PhD Optimization of optical imaging systems

We are seeking a candidate with a robust background in physics or a related discipline such as electrical or mechanical engineering, or aerospace. The ideal candidate will possess excellent programming skills, the ability to think abstractly, and the capacity to apply mathematical concepts to practical problems. While experience in optical imaging and lens design is highly desirable, it is not a strict requirement. The successful candidate will be flexible, capable of working independently as well as collaboratively, and driven by a passion for advancing the fields of science and engineering. Doing a PhD at TU Delft requires English proficiency at a certain level to ensure that the candidate is able to communicate and interact well, participate in English-taught Doctoral Education courses, and write scientific articles and a final thesis. For more details please check the Graduate Schools Admission Requirements.

Deadline :15-12-2023

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(32) PhD Degree – Fully Funded

PhD position summary/title: PhD position – Biomolecules as antennas

Transduction is happening everywhere around us. In biology, cells transduce signals from one cell to another, from the outside environment to the inside, and across different cellular compartments. An example of transduction in engineering is the use of microphones, which convert sound waves into electrical signals via intermediate mechanical oscillations. However, there is currently a lack of technology to emit and detect in the THz range of the electromagnetic spectrum; a problem also known as the ’THz gap’. To achieve broad band quantum transduction, particularly in the THz range, one solution is to use biomolecules. Biomolecules are known to absorb in that range, and they have the potential of being modified and tuned, therefore making them ideal THz bioantennas. This PhD project will explore and develop THz biomolecular antennas, possibly with making use of lipid bilayers, and then interface such bioantennas with quantum materials.

Deadline :  15-12-2023

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(33) PhD Degree – Fully Funded

PhD position summary/title: PhD position mathematical modelling of salt intrusion in rivers

In coastal rivers, salty seawater intrudes into river estuaries, reducing the availability of precious fresh water and potentially salinizing ground water. Worldwide, salt intrusion is increasing due to e.g. sea level, extreme droughts and human interventions. Various physical processes cause the intrusion of salt. It is still poorly understood what processes are dominant in different rivers and how these processes may change looking 50-100 years into the future. A better understanding of these processes and how they change is an essential step in describing the vulnerability of our rivers and defining potential mitigating interventions. The modelling of salt intrusion to create such better understanding is mathematically challenging. You will develop a physics-based mathematical model that has unique abilities for analysing physical processes of salt intrusion efficiently for large numbers of environmental conditions. The model is based on nonlinear partial differential equations in three-dimensional space. Constructing this model is mathematically challenging and requires knowledge and skills in analytical techniques for the solution of partial differential equations (PDEs), numerical discretisation using Finite Element Methods, numerical mathematics, programming (Python) and high-performance computing. You will be challenged in all these subfields to find the best balance between model realism, analysability and computational speed. The model builds on techniques developed by the supervisor in recent years and will result in an open-source toolbox.

Deadline : December 15, 2023

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(34) PhD Degree – Fully Funded

PhD position summary/title: PhD Position Printed Multifunctional Bone Implants

Thanks to innovative biomaterials and new manufacturing technologies (e.g., 3D printing), orthopaedic implants have undergone significant advancements in recent years. However, they still fail due to insufficient osseointegration. To address this problem, biomaterials as well as design- and patient-specific factors should be considered. The EU Interreg Vlaanderen-Nederland project (Prosperos-II) aims to develop a new generation of 3D-printed personalized orthopaedic implants and orthoses. The research will focus on combining controlled multiscale geometry of 3D printed bone implants with surface physicochemical cues for development of osteoinductive implants. 

Deadline : 15 December 2023 

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(35) PhD Degree – Fully Funded

PhD position summary/title: PhD Position Printed Multifunctional Bone Implants

This position is part of the EU Interreg Vlaanderen-Nederland project (Prosperos-II) that focuses on generation of 3D printed personalized orthopedic implants and orthoses. The research relevant for this position aims at development of osteoimmunomodulatory constructs for maximizing bone regeneration taking into account patient pathophysiological conditions. The successful candidate will have to determine strategies to incorporate the osteoimmunomodulatory function into the biomaterials by using physical, mechanical and/or biochemical cues. In addition, the PhD researcher will assess the biomaterial-induced osteoimmunomodulatory effects and their impact on new tissue formation together with the underlying mechanisms. Therefore, mono- and co-culture models, dedicated assays, and multi-scale imaging of the biointerface along tissue regeneration process will be included in the methodology.

Deadline : 15 December 2023

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(36) PhD Degree – Fully Funded

PhD position summary/title:  PhD position Signal Processing for Low-resolution Digital Millimeter Wave Radars

The Delft Center for Systems and Control (DCSC) is offering a PhD position under the newly funded ‘Signal Processing for Environment-Aware Radar’ (SPEAR) project. The project will be carried out in the research group of Dr. N.J. Myers, in collaboration with researchers at the faculty of 3mE and the faculty of EEMCS. In this project you will work on industry-relevant scientific challenges in collaboration with industry experts from NXP. Dr. Myers’s group at TU Delft develops and analyzes novel signal processing techniques for communications and sensing with wireless systems. We focus on both applied and theoretical aspects of challenging problems in connected automotive and radars. Currently, fully digital automotive radars face limitations in resolution due to the use of a limited number of antennas and low bandwidth settings, which are aimed at minimizing power consumption. A promising low-power alternative is one that uses low-resolution radar components which operate at high bandwidths. Radar signal processing with such a hardware, however, is extremely challenging due to the stringent constraints imposed by coarse quantization. Furthermore, these hardwares generate massive amount of information that is difficult to process using conventional techniques. To address both these challenges, we seek a talented individual to develop low-complexity radar signal processing techniques capable of effectively operating under coarse quantization effects at the receiver.

Deadline : 15 December 2023

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(37) PhD Degree – Fully Funded

PhD position summary/title: PhD Candidate – Novel Molecular/Metallic Electrodes for CO2/CO Conversions

The open PhD position will fit within this larger team of 5-8 PhD and postdocs, while working on an independent research project embedded with the ERC Starting Grant title RECALLCO2. Here the candidate will seek to develop an entirely new set of electrodes that unify the two fields of molecular catalysts and metallic electrodes to perform novel CO2/CO electrochemical reactions. Target products include primarily ethanol and methanol while there is a wide range of possibilities for the metal electrodes and molecular compounds. The researcher will learn to utilize both H-cell and flow-cell electrochemical systems. Technical skills such as hands-on electrochemical experience, working with metallic molecular complexes, hands-on coordination chemistry experience, working with analytical instrumentation, chemical synthesis of molecular compounds are all valuable. A preprint illustrating one approach for the research project is here: https://www.researchsquare.com/article/rs-2986898/v1 The successful candidate is expected to publish first-authored papers that advance state-of-the-art fundamental and applied knowledge in the research field. Further the candidate will present their work at national and international conferences while building their own personal career pathway in consultation with the group principal investigator Thomas Burdyny. More information about the research group can be found on the www.burdynyenergylab.com 

Deadline : 10 December 2023 

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(38) PhD Degree – Fully Funded

PhD position summary/title: PhD Position Aging Solar Sails for Space Debris Removal

The “streets in space” are lined with garbage. Operational satellites that are vital to our everyday lives share their orbits with thousands of pieces of debris. An impact from such a debris object may destroy a satellite, or worse, threaten human spaceflight. At TU Delft, research is being conducted on exploiting the endless propulsion capabilities of solar sailing to clean up space. A spacecraft equipped with a solar sail rides on sunlight the way sailboats ride on the wind, making it a sustainable and cost-effective form of propulsion for a many-target active debris removal mission. Though several solar-sail technology demonstration missions have successfully flown, and more are scheduled for the future, little is known about the effect of the harsh space environment on the optical and mechanical degradation and survivability of the sail material. Particularly for long duration missions, like a many-target active debris removal mission, degradation is expected to be significant and have an equally significant effect on the long-term performance of the sail. Objective: the objective of this PhD project is to obtain realistic aging effects of solar-sail material through an extensive ground-based test campaign and to incorporate the derived effects into the orbital dynamics of a solar-sail active debris removal mission.

Deadline : 10 December 2023

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(39) PhD Degree – Fully Funded

PhD position summary/title: PhD Position Effect of Manufacturing Defects in Composites

Fibre reinforced polymer composite components inevitably contain manufacturing defects. Currently this is dealt with by imposing safety factors on the design, and by establishing conservative acceptable defect sizes, which do not take into account the stress distriubtion within the component. Instead it would be desirable to predict the effect of a defect on the strength and durability of the component, to enable a more precise evaluation of the defect’s severity. Within this PhD project you will conduct research with the aim of better understanding the effect of manufacturing defects, particularly those produced by automated fibre placement (AFP). The work will consist of a mixture of experiments and (likely numerical) modelling. You will conduct this research within the Aerospace Structures and Materials Department of the Faculty of Aerospace Engineering of TU Delft. Direct supervision will be provided by Dr. ir. J.A. Pascoe and Dr.ir. D.M.J.Peeters. Dr. ir. R.C. Alderliesten will act as promotor.

Deadline : 10 December 2023

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(40) PhD Degree – Fully Funded

PhD position summary/title: PhD position in Graph Machine Learning for Financial Crime Analysis

Graph machine learning (Graph ML) is an emerging field of artificial intelligence (AI) motivated by the ubiquity of graph-structured data in real-world applications. Graph neural networks (GNNs) serve as a key technology in this area and are successfully used in recommendation systems, financial crime analysis, cybersecurity, and social and biological network analysis. However, existing GNN architectures are limited in the type and complexity of subgraph patterns they can detect in practice. For example, cycles, cliques, and frequent motifs can serve as highly discriminative signatures when analysing financial, biological, and social networks. However, cost-efficient discovery of such subgraph patterns using GNNs is challenging. Although these patterns can be recognized using purely combinatorial approaches, such approaches lack statistical learning and adaptation capabilities and also have high computational complexity.

Deadline : 10 December 2023

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(41) PhD Degree – Fully Funded

PhD position summary/title: PhD position in Grounding Large Language Models in the Real World

We seek a highly motivated and talented PhD researcher to work on an exciting project focused on hybrid memory modelling. The research will take into account both visual observations by the robot and conversations between robots and people. In this project, the successful candidate will build a  conversational robot that aligns their memories through natural language conversation to 1) detect conflicts, gaps, perspectives and uncertainties and 2) repair these. The candidate will be part of the Hybrid Intelligence Center and the Interactive Intelligence Group at TU Delft. You also work in close collaboration with researchers at the Vrije Universiteit Amsterdam. The ideal candidate will have a background in computer science, artificial intelligence, or a related field, and a strong interest in human-computer interaction. Experience in machine learning, natural language processing, and deep learning is also a plus.

Deadline : December 10, 2023.

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(42) PhD Degree – Fully Funded

PhD position summary/title: PhD Positions Internet Measurement and Systems for Cybersecurity

The Cybersecurity (CYS) group at the Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) invites applications for full-time doctoral candidates in Internet Measurement and Systems for Cybersecurity. Successful candidates will follow a data-driven approach by collecting and analyzing massive network and web data to improve security and privacy on the Internet and of networked systems. Examples include fighting cyber threats (e.g., ransomware, phishing, denial of service attacks, scanning for system vulnerabilities), identifying and mitigating network and Web vulnerabilities (e.g., unauthorized access, user tracking), and assessing the adoption of user data protection regulations (e.g., GDPR) in the wild. Successful candidates will have the opportunity to work closely with world-class researchers at TU Delft and our research collaborators in Europe and the US. Our group conducts research in a range of cybersecurity topics, including, secure data analytics, applied cryptography, privacy, cloud security, system security, and network security. We aim to make the world a safer place as most of our activity and data move online. We design, develop, and evaluate interdisciplinary solutions that combine all fields of computer sciences: artificial intelligence, systems, and theory. Examples include the development of deep learning methods that are immune to common side-channel defences, machine learning algorithms that can operate on encrypted data in the cloud, detection and mitigation of large scale distributed denial of service attacks, and analysis of the latest security threats. We aim to publish our results at top conferences and journals, transfer our scientific know-how and technologies to students and our public and private partners in the field of cybersecurity, and have impact in society and the research community.     

Deadline : 10 December 2023

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(43) PhD Degree – Fully Funded

PhD position summary/title: PhD Position Methodologies for Analysis Testing and Certification of Thermoplastic Composite Aerostructures

Aerospace structures made of thermoplastic composite materials have various advantages compared to thermoset composites including the possibility of joining them by welding, which enables a more efficient production of aircrafts. These composites have also higher fracture energy, better impact resistance and are generally easier to recycle. Nonetheless, the structural performance of thermoplastic composite structures is less well characterized compared to thermoset structures, particularly on welded parts as found on the fuselage, wings or empennage of composite aircrafts. The aim of this PhD project is to develop and implement numerical and experimental techniques to characterize the performance of welded thermoplastic composite structures. The project involves establishing the limits of these structures (by fracture and/or buckling) based on Finite Element simulations of damage onset and damage propagation, taking the welding into account. The work involves verification and validation steps with experimental work on welded panel components, in collaboration with industrial partners. The goal is to investigate the effect of material variability and possible manufacturing defects on the overall strength and fatigue limits of thermoplastic welded structures. In turn, these data will be used for quantification of uncertainty and linked to a path towards certification by analysis.

Deadline : December 8, 2023

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(44) PhD Degree – Fully Funded

PhD position summary/title: PhD Position Researcher Fatigue of Cold Spray Repairs

Cold spray is an additive manufacturing technology that can be a real game changer for MRO of civil aircraft. However, its wide-spread application is hindered by a lack of understanding of the fatigue and damage tolerance properties of cold spray repairs. In this position you will help change this situation, by developing and validating a prediction methodology consisting of fatigue tests on generic coupons (to be developed by you) and analytical or numerical modelling. This project will have an experimental focus, including manufacturing your own specimens using our medium pressure cold spray system. This will be combined with analytical and/or numerical modelling, depending on which approach proves to be more feasible. You will conduct this research within the Aerospace Structures and Materials Department of the Faculty of Aerospace Engineering of TU Delft. Direct supervision will be provided by Dr. ir. J.A. Pascoe and Dr. C.D. Rans. Dr. ir. R.C. Alderliesten will act as promotor. As part of the project you will be expected to conduct a 3 month research visit at Swinburne University of Technology in Melbourne, Australia. Funding to perform this visit will be provided.

Deadline : December 8, 2023 

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About Delft University of Technology (TU Delft), Netherlands  –Official Website

Delft University of Technology, also known as TU Delft, is the oldest and largest Dutch public technical university. Located in Delft, Netherlands, it is consistently ranked as one of the best universities in the Netherlands, and as of 2020 it is ranked by QS World University Rankings among the top 15 engineering and technology universities in the world.

With eight faculties and numerous research institutes, it has more than 26,000 students (undergraduate and postgraduate) and 6,000 employees (teaching, research, support and management staff).

The university was established on 8 January 1842 by William II of the Netherlands as a Royal Academy, with the primary purpose of training civil servants for work in the Dutch East Indies. The school expanded its research and education curriculum over time, becoming a polytechnic school in 1864 and an institute of technology (making it a full-fledged university) in 1905. It changed its name to Delft University of Technology in 1986.

Dutch Nobel laureates Jacobus Henricus van ‘t Hoff, Heike Kamerlingh Onnes, and Simon van der Meer have been associated with TU Delft. TU Delft is a member of several university federations, including the IDEA League, CESAER, UNITECH International and 4TU.

 

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