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

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 Radiochemistry

Radiopharmaceuticals are indispensable for health care professionals to diagnose numerous diseases, including many types of cancer. In about 80% of these applications the radionuclide Tc-99m is used, which has ideal imaging characteristics and can easily be extracted on-site from a Mo-99/Tc-99m generator. However, current production methods are based on just a few (aging) nuclear reactors worldwide, and produce considerable amounts of long-lived radioactive waste. To be able to continue using these essential isotopes in the future, we propose to use new, clean production routes via the irradiation of stable molybdenum isotopes. However, this direct production route results in very low specific activity Mo-99, rendering existing generators with low adsorption capacity unable to adsorb a sufficient quantity of Mo-99 for use in the clinic.

Deadline : Open until filled

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(02) PhD Degree – Fully Funded

PhD position summary/title: PhD Position Software Restructuring

We are seeking two PhD Students to join the Spoofax team to (1) extend the theory and application of scope graphs to the specification of programmable software restructurings, (2) develop analogs to scope graphs for capturing and transforming control flow, (3) develop a software restructuring framework for the C++ programming language based on this framework, and (4) validate the restructuring infrastructure through restructuring production C++ code at Philips Healthcare.

Deadline :  31 December 2022 

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(03) PhD Degree – Fully Funded

PhD position summary/title: PHD Position Design and build disrupting technology for high-resolution microscopy with monochromatic electrons.

Electron microscopes are essential systems for ultra-high-resolution imaging and analysis of materials in science and industry. For many imaging and analysis techniques however, the intrinsic energy spread of the emitted electrons from a high brightness electron source (typically 0.4 – 1 eV) is too large and would need to be reduced to 10 meV range. Electron monochromators exist but are technically complicated and are thus only implemented in very expensive high-end systems. In this project, you will work on a radically new monochromator concept to reduce electron energy spread making use of microfabrication technology. You will design and fabricate the monochromator componentsF together with our microfabrication specialists and you will perform the experimental characterizations. Successful device will be implemented in the state-of-the-art electron microscopes and applications towards extremely low voltage SEM and high-resolution energy loss spectroscopy will be investigated. Ultimately, this work should pave the way for a very powerful but still low-cost electron microscopy component that can fundamentally change the field of electron microscopy.

Deadline :  16 October 2022

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(04) PhD Degree – Fully Funded

PhD position summary/title: PhD in Fractured Geothermal Reservoirs

In the global north, over 40% of the total energy consumption is used for heating and cooling of buildings. Geothermal energy has the potential to significantly decarbonise energy supplies not only for heating and cooling but also for electricity generation, and therefore make a major contribution to the transition to a sustainable and just low-carbon energy future.

Deadline : 30 September 2022 

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(05) PhD Degree – Fully Funded

PhD position summary/title: PhD Position Modelling nonlinear structural dynamics in marine fluid-structure interaction

The aim of this PhD project is to develop and validate a method that can resolve fluid-structure interaction with structural nonlinearities. This will be achieved by combining methods from nonlinear structural dynamics and a strong coupling with existing linear hydrodynamic solvers. We are looking for an enthusiastic PhD candidate to be the main developer of the numerical tools that will allow us to better understand these challenges. The outcomes of this project will be disseminated to the scientific community and to a general audience through presentations at (inter-)national conferences and through publications in peer-reviewed journals. Additionally, the candidate is expected to take part in educational activities within the department (for example, assist in teaching or supervise master thesis work).

Deadline :  30 September 2022 

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(06) PhD Degree – Fully Funded

PhD position summary/title: PhD Team Science and Innovation for Responsible Human-Centric AI

This PhD position focuses on the evolution of HCAI teams/networks from an anthropo-technical perspective. The candidate will be studying the forms and dynamics of collaborations between these teams/networks both in R&D and Production & Deployment of HCAI (AI components, AI systems, AI ecosystems). They will also investigate the influencing factors -internal and external– to achieve responsible AI as a culture and as a practice beyond ethical compliance. Internal factors may include team/network composition (e.g., diversity, size, structure) as well as the form of collaboration (e.g., type, timing, symmetry). External factors look at the environment where teams/networks form and collaborate, e.g., institutions, economic and political factors, etc.

Deadline :  23 September 2022.

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(07) PhD Degree – Fully Funded

PhD position summary/title: PhD position on the intersection of combinatorial optimisation and machine learning to support the energy transition

This PhD position is part of a larger research project – Next Generation Sector Coupling Models for Optimal Investments and Operation (NextGenOpt) – which is funded by the Dutch Research Council (NWO) within the Energy System Integration, Towards Futureproof, Affordable and Reliable Energy Systems (ESI-FAR) call. Accordingly, the candidate will be embedded in an interdisciplinary team consisting of engineers, computer scientists, and mathematicians from TNO, Utrecht University, TU Delft, and industry partners. The candidate will closely cooperate with the other project team members and spend part of the research time at TNO (flexible stay).

Deadline : September 19, 2022

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(08) PhD Degree – Fully Funded

PhD position summary/title: PhD Position Uncertainty Quantification in Direct-Use Geothermal Systems

Understanding and quantifying uncertainty is crucial for the development of Direct Use Geothermal Systems (DUGS). Subsurface uncertainty remains even in extensively explored geological basins and is related to data, models and spatial properties. In DUGS uncertainty is present on three different levels: a) subsurface characterization, b) development scenarios and c) economic inputs. The data available for DUGS is usually based on previous exploration activities and is often more restricted than for hydrocarbon projects. Due to the lower value of hot water compared to hydrocarbons, the business case of DUGS is more challenging compared to oil and gas projects. This affects the funds available for exploration and additional data acquisition, increasing the uncertainty on the production scenarios and putting the economic viability of some projects at risk.

Deadline :  18 September 2022 

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(09) PhD Degree – Fully Funded

PhD position summary/title: PhD : Microalgae-based light-responsive engineered living materials

Nature fabricates materials with remarkable properties, having the ability to grow, move and sense their environment. Such dynamic and interactive materials are in strong contrast with man-made synthetic materials. Recent scientific interest has emerged to incorporate living cells into materials to form engineered living materials. While still underexplored, microalgae-based living materials are highly promising due to the light-responsiveness and photosynthetic activity of microalgae. The aim of this project is to fabricate a light-responsive microalgae-based materials that use the photosynthetic activity of cells to control the response of the material as a whole.

Deadline : 15th of August 2022

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(10) PhD Degree – Fully Funded

PhD position summary/title: PhD Climate change & vector borne disease TU Delft & KNMI

In this frontrunner project of the Pandemic and Disaster Preparedness Center (PDPC) on Climate Change & Vector Borne Diseases, 3 PhD students will work with a large team of senior researchers across a range of disciplines including environmental sciences, epidemiology, ecology, virology, climate science, ornithology and veterinary sciences, to study the relation of climate change and salinization on vector borne diseases

Deadline : 15 September 2022

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(11) PhD Degree – Fully Funded

PhD position summary/title: PhD position Performance Guarantees in Integrated Optimization-based & Learning-based Control of Networks with Hybrid Dynamics

This PhD project is part of the European ERC Advanced Grant project CLariNet – a novel control paradigm for large-scale hybrid networks. The goal of CLariNet is to create a completely new paradigm for control of large-scale networks with hybrid dynamics (i.e., systems with a combination of continuous dynamics and event-driven dynamics or switching) by bridging the gap between optimization-based control and learning-based control. The breakthrough idea is to bridge that gap by using piecewise affine models and to unite the optimality of optimization-based control with the on-line tractability of learning-based control.

Deadline : 15 September 2022

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(12) PhD Degree – Fully Funded

PhD position summary/title: PhD Positions in Data-driven Cybersecurity

The Cybersecurity (CYS) group at the Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) invites applications for full-time doctoral candidates in the area of Data-driven Cybersecurity. Successful candidates will follow a data-driven approach by collecting and analyzing massive network and web data to improve security and privacy in the Internet. 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.

Deadline : September 15, 2022

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(13) PhD Degree – Fully Funded

PhD position summary/title: PhD Student in Decentralized Learning on Tabular Data

The research objective of this PhD project is to derive scalable decentralized machine learning algorithms for tabular data. The key tasks of this project are: (i) designing privacy-preserving data exchanging strategies, (ii) deriving vertical and horizontal federated learning for tabular data (iii) deriving generative models for tabular data, e.g., generative adversarial networks (iv) designing decentralized training framework for tabular data synthesizer.

Deadline :  September 15, 2022 

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(14) PhD Degree – Fully Funded

PhD position summary/title: PhD: 3D Unsteady CFD model for Multi-Rotor Multi-Body Fluid Structure Interaction

The main objective behind this project is to develop a 3D Hybrid solver implemented in OpenFOAM purposed for lift-driven aerodynamics such as in wind energy and aircraft. More specifically, this PhD project focuses on the addition of fluid-structure interaction capability by introducing a combination of domain deformation and partitioned fluid-structure coupling methods. In a region close to solid boundaries the flow, the full Navier-Stokes equations are solved on a deforming (meshed) domain and coupled to a structure dynamics model (possibly with an arbitrary turbulence model or DNS, the limitations being the computational power and the physical properties of the flow); outside of that region, the flow is solved with a Lagrangian (meshless) vortex particle method. In this hybrid approach, the complexity and size of the deforming mesh problem is substantially reduced as it is only required for a small domain close to the body. Also, interaction between different bodies moving in each other’s vicinity is facilitated through the Lagrangian (meshless) vortex particle.

Deadline : 15-9-2022 

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(15) PhD Degree – Fully Funded

PhD position summary/title: PhD Position Collaborative Control for Autonomous Ships in Multi-Vessel Environments

As PhD researcher in this project, you will focus on investigating the potential of vessel to vessel (v2v) and vessel to infrastructure (v2i) interactions in view of addressing these challenges at an operational level. You will have the opportunity to investigate smart operational control strategies for collaborative autonomous shipping, integrating navigation rules, information exchange and algorithms for dealing with the uncertainties. Here, concepts such as (distributed) model predictive control are in particular pursued as the central concept to advance the state of the art in performance of multi-vessel systems and surrounding logistics. 

Deadline : September 15, 2022 

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(16) PhD Degree – Fully Funded

PhD position summary/title: PhD position Experimental Multiphase Flow – Cavitation

The primary objective of the NWO-sponsored AQUA program is to gain a better understanding of the effect of water quality on multiphase flow dynamics, in particular on cavitation and air lubrication for drag reduction. The participating universities and research institutes include Delft University of Technology, University of Twente (Physics of Fluids group), and Royal Netherlands Institute for Sea Research. At Delft University, we currently have 1 open PhD position related to cavitation research.

Deadline : 15 September 2022 

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(17) PhD Degree – Fully Funded

PhD position summary/title: PhD Position Reliability/Risk-Based Modelling for Assessing Railway Embankment Stability

This project aims to: (a) enhance the reliability/risk-based framework, which is tailored to the characteristics of loads and resistances in Dutch railway embankments, through advanced probabilistic modelling techniques; (b) account for the site characterisation of embankments and subsoil layers, including the statistical characterisation of geometric and geologic features, and the spatial variability of soil properties within soil layers; (c) perform 2D and 3D numerical modelling of embankment reliability, leading to the development of 3D stochastic (e.g. Random Finite Element Method) models for reliability-based assessments of embankment stability and allowing for material behaviours including creep and strain localization; (d) develop and validate numerical tools for application in engineering practice.

Deadline : 12 September 2022

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(18) PhD Degree – Fully Funded

PhD position summary/title: PhD Position Stochastic Characterisation and Modelling of Embankment and Subsurface Using Data from Multiple Sources

This project aims to: (a) develop a probability-based framework for quantifying material properties and other site-specific characteristics (e.g. layering, spatial variability) using data derived from multiple sources (e.g. site investigation, geophysics, laboratory testing, monitoring, train-borne measurements, data assimilation, local/regional/global databases); (b) provide a means whereby the use of site-specific data can be optimised to increase site-specific knowledge; (c) provide a means of guiding cost-effective site investigation strategies; (d) provide a means of characterising sites for which few site-specific data are available.

Deadline : 12 September 2022

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(19) PhD Degree – Fully Funded

PhD position summary/title: PhD Position Disaster & Patient Flow Logistics

This project is uniquely embedded into the Pandemic and Disaster Preparedness Center (PDPC) frontrunner project “Pandemic Lessons for Flood Disaster Preparedness”, bringing together leading from Erasmus MC, TU Delft and Erasmus University Rotterdam. PDPC aims to prepare society for future pandemics and disasters. We will reduce vulnerabilities and risks and build resilience through effective disaster prevention, preparedness and recovery measures. Convergence of the technical, medical and social sciences is essential for developing the next generation of approaches to disasters and pandemics. In the foreseeable future, our society can expect many more and unforeseen virus outbreaks and extreme events because of climate change. But how do we protect society from the next pandemic or disaster? Which of the lessons learnt could develop prevention and intervention measures, and how could research contribute to preparedness?

Deadline : September 11th, 2022

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(20) PhD Degree – Fully Funded

PhD position summary/title: PhD Position on data-driven concrete science

In this PhD project, we will explore the use of new sensor technologies and machine learning to develop decision support tools for the concrete industry. This project will be executed at TU Delft, within the Concrete Structures section (https://bit.ly/3Rbx4nG) under the supervision of Dr. Sandra Nunes from faculty Civil Engineering and Geosciences; and in collaboration with Dr. Neil Yorke-Smith (director of STAR Lab, https://starlab.ewi.tudelft.nl/) and Dr. Rihan Hai, both from faculty of Electrical Engineering, Mathematics and Computer Science.  

Deadline : 11 September 2022

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(21) PhD Degree – Fully Funded

PhD position summary/title: PhD: Fair access and benefit sharing of genetic biodiversity

We are looking for a PhD candidate for a project on the fair sharing of access to and benefits from the use of digital genetic resources. Biodiversity is valuable in and of itself but also as a source of genetic wealth that can provide input for innovative and sustainable biotechnologies. However this genetic wealth has become the object of a long lasting global dispute on how to fairly distribute access and benefits (ABS) relating to genetic resources. The increasing use of Digital Sequence Information (DSI) has intensified this conflict, caused by a clash between values such as Open Science and economic justice.

Deadline : 11-09-2022

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(22) PhD Degree – Fully Funded

PhD position summary/title: PhD position in Design Leadership

The department of Design, Organization and Strategy of TU Delft has an opening for a PhD candidate who will research the topic of Design Leadership. To have impact on organizations and society, designers need to develop effective and resilient leadership to trigger and implement change, to maintain stakeholders’ engagement and to influence strategic decision-making towards meaningful directions. We would like to conduct more research on what behaviors, mindsets, and practices can better support design leaders in their interactions with organizations and ecosystems. Possible directions that the PhD research might take include:

Deadline : 9/9/2022

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(23) PhD Degree – Fully Funded

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

The PhD position is part of the ERC-Advanced Project Nanocubic, in which we target 3D super-resolution microscopy by breakthrough designs of illumination patterns that are sequentially projected into the sample volume, together with advanced image reconstruction techniques. We strive for isotropic resolution on the 100 nm scale in standard fluorescent samples and 1 nm in single-molecule imaging based techniques. The envisioned advances in microscopic imaging further open the nanoscopic world for scientific exploration. The project builds on the lab’s track-record in the field of computational imaging techniques for super-resolution microscopy. 

Deadline :7 September 2022

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(24) PhD Degree – Fully Funded

PhD position summary/title: PhD position on mass transport modelling from GRACE/GRACE-FO data

 This research aims at providing novel mass transport products derived from space-borne gravimetric data coming from past, current, and future missions. This is achieved by innovative methodology, namely by uniquely constraining the data from these missions to geophysical models, thereby combining the strength of the underlying physical knowledge contained in such models and maximising the spatiotemporal resolution of the satellite on-orbit observations. Auxiliary information, such as precipitation records or altimetry data, will establish a suitable temporal evolution, and topography and surface properties will predict a realistic spatial mass distribution. 

Deadline : September 5th, 2022.

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(25) PhD Degree – Fully Funded

PhD position summary/title: PhD on development of new disordered electrode materials for batteries

We will be investigating a new class of materials featuring atomic-scale disorder between mobile light metal ions (A e.g. Li+, Na+) and transition metals (M; e.g. Co, Fe). This is a new concept, in stark contrast to conventional electrode materials in which A and M are perfectly segregated in alternating atomic layers. The disordered materials have already shown great promise for increased performance (higher capacity, higher rate capability, slower aging) that could translate directly to lighter, faster-charging, longer-lasting next-generation batteries, respectively. Beyond performance, the disordered concept allows for more flexibility on the choice of transition metal(s) used which directly affects the economic potential and societal impact in view of battery mass-production. Current state-of-the-art lithium-ion technology heavily relies on cobalt and nickel. These are both rather rare, costly-to-produce (and in the case of cobalt, ethically unacceptable, see e.g. link) metals which go directly against the principles of sustainability, environmental protection and the green energy transition. Disordered structures can accommodate cheap, benign, abundant transition metals such as iron and manganese, paving the way for sustainable mass-deployment of electrochemical energy storage for electric vehicles (electromobility) and renewable energy sources (grid scale). For a deeper dive into the concept and problematics around disordered electrodes, interested candidates are invited to watch a recent webinar of Prof. G. Ceder on the topic (link below).

Deadline : September 1st, 2022

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(26) PhD Degree – Fully Funded

PhD position summary/title: 

This PhD aims at bridging this gap theoretically and empirically, using the Netherlands as a case study. From the pool of existing explanations of economic inequality and urban segregation (such as: assortative mating, selective migration, urban form, contextual effects etc.), which are the most relevant ones to explain economic segregation in cities in general, and in Dutch cities in particular? How do they interact, theoretically and empirically? The idea is to integrate existing multidisciplinary knowledge about economic inequality and urban segregation at three geographical scales: national, urban and individual. More specifically, the first objective of the PhD is to identify the mechanisms which explain the evolution of urban economic segregation in general (through an extensive and multidisciplinary literature review), to select and prioritise them, to analyse their compatibility and their potential interactions (for instance: how different urban forms influence the magnitude of contextual effects). The second objective is to test these drivers of urban economic segregation empirically on the case of the Netherlands, using innovative statistical techniques and longitudinal Dutch register microdata.The candidate will consider the diversity of processes (residential, professional, social, etc.) and actors (families, schools, firms, neighbours, etc.) involved and analyse the exceptionally rich material of CBS microdata (which records individual, spatial and relational characteristics, longitudinally and exhaustively) in search for empirical evidence. The results of the PhD should increase our understanding of urban inequality and contribute to the design of efficient solutions.

Deadline : September 1, 2022.

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(27) PhD Degree – Fully Funded

PhD position summary/title: PhD position in applied cryptography

This position aims to develop practical and cryptographic solutions. You may explore how to design lattice-based cryptographic tools to adapt to multi-sector and cross-border data sharing, and further you may provide provable security for the proposed solutions in the game-based, or universal composability model. You may only need to focus on the theoretical design and development, while the industrial partners will fully implement the designs. Successful candidates will have the opportunity to work closely with world-class researchers at TU Delft and our collaborators in Europe and the US.

Deadline : September 1, 2022

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(28) PhD Degree – Fully Funded

PhD position summary/title: PhD Automotive Radar

We have the ambition to design and validate innovative methods to image environment around a car using radars. Radar images are intrinsically different from lidar or optical images due to lower resolutions. Increase of the image resoltuion could be achieved via fusion of the data coming from multiple radar sensors. Such fusion is associated with a number of research questions like radar units synchronization, combination of mono-static and bi-static imaging modalities as well as resolving mutual interference issue.

Deadline : August, 31, 2022 

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(29) PhD Degree – Fully Funded

PhD position summary/title: PhD in AI and model reduction for nuclear safety

The main objective of this PhD project is to construct no-compromise fast-running surrogate models of various physics modules that are part of the severe accident simulator. These surrogate models will be based on two approaches (i) reduced order modeling approaches based on non-intrusive techniques developed earlier in our group and (ii) machine-learning/AI approaches. The scientific challenge lies in trying to capture a multitude of difficulties, including coupling of different physics, high dimensionality of the system, dealing with time-dependent phenomena, or identifying large consequence and hard to calculate regions of the phase space.

Deadline : 2022.08.15.

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(30) PhD Degree – Fully Funded

PhD position summary/title: PhD in Proton Therapy Optimization

Radiotherapy (RT) is a key treatment modality for cancer, but side-effects can have significant negative impact on patients’ quality-of-life. Intensity-Modulated Proton Therapy (IMPT) is a new type of RT, better preserving normal tissues surrounding the tumor than traditional photon therapy, due to the finite range of protons. However, IMPT’s advantage also comes at the cost of increased sensitivity to uncertainties in patient alignment, daily variations in patient anatomy or progressive changes, which can never be completely eliminated. To account for uncertainties in IMPT, the current clinical practice is robust treatment planning, where possible errors are directly incorporated in the optimization to make treatments robust. However, while sufficient robustness in IMPT treatments is crucially important, robust planning has several limitations, as it only includes a few (typically 7) specific errors scenarios, it disregards the probability of different errors happening, and most importantly it does not give the detailed, statistically meaningful measures that clinicians would need. This prevents exploiting the full tissue-sparing potential of IMPT, and could even nullify its advantage compared to conventional RT.

Deadline :  2022.08.15

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(31) PhD Degree – Fully Funded

PhD position summary/title: PhD in Urban Heat and Inequalities

Erasmus MC, TU Delft and Erasmus University Rotterdam have joined forces in the Pandemic and Disaster Preparedness Center (PDPC). PDPC aims to prepare society for future pandemics and disasters. We will reduce vulnerabilities and risks and build resilience through effective disaster prevention, preparedness and recovery measures. Convergence of the technical, medical and social sciences is essential for developing the next generation of approaches to disasters and pandemics. In the foreseeable future, our society can expect many more and unforeseen virus outbreaks and extreme events because of climate change. But how do we protect society from the next pandemic or disaster? Which of the lessons learnt could develop prevention and intervention measures, and how could research contribute to preparedness?

Deadline :  August 31, 2022 

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(32) PhD Degree – Fully Funded

PhD position summary/title: PhD Modeling Behavioral Change and Social Institutions in Climate Change Adaptation

This PhD position focuses on advancing computational agent-based modeling to capture both individual behavior changes and evolution of social institutions (formal and informal). Such multi-scale models will permit to quantitatively explore how generic mechanisms behind societal transformations unfold in dynamics, and to identify potential social tipping points to new adaptation pathways. We will consider few specific case-studies of historic successful transformational responses to floods. Given the factors and feedbacks that proved important in enabling transformations in the past, this PhD project will elicit socio-economic thresholds and lock-ins due to long-term irreversible consequences of adaptation responses (e.g. socio-economic path-dependence triggered by urbanization, agglomeration dynamics and risk acceptance). We will then proceed to explore how the mechanisms behind social tipping points may play out under climate change. As climate change exacerbate, it is important to test whether ‘desirable’ transformational climate adaptation could be achieved through gradual changes in behavior and institutions or only in response to a crisis.  As a PhD student you will work closely with a PostDoc and another PhD within this VIDI project, and have an opportunity to collaborate with other researchers working on a complementary ERC project http://www.sc3.center/.

Deadline : August 31, 2022

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(33) PhD Degree – Fully Funded

PhD position summary/title: PhD Position Distributed Optimization in Cyber-Physical Networks

This position aims at improving our understanding and control of cyber-physical systems composed of a large number of interconnected and embedded components. Such networks of systems contain a huge number of sensors and actuators that generate a tremendous amount of data to be processed in real-time in order to increase the autonomy of the participating entities, or accomplish a high level of automation.

We are looking for a talented, motivated and outstanding Ph.D. candidate with enthusiasm for fundamental research challenges at the interface of Systems and Control Theory, Optimization, and Operations Research in order to develop new theories, methodologies, algorithms, and numerical tools to optimize over such complex networked systems

Deadline : 31 August 2022

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(34) PhD Degree – Fully Funded

PhD position summary/title: PhD position ERC ViSioN: Virus Spread in Networks

The project “Virus Spread in Networks” (ViSioN) is funded by ERC as an Advanced Grant 2020. ViSioN starts from a Network Science view on virus spread in networks in which the duality between the virus transmission process and the contact graph is key. The devastating Corona crisis reveals two major shortcomings in traditional epidemiology. First, it ignores the human contact graph and implicitly assumes a homogeneous population without specific graph structure. Second, most models for the virus spreading process relate to a Markovian setting, with exponential infection and curing times, leading to an exponential decay of the epidemic. Measurements, however, point to significantly different infection and curing time distributions. In addition, digital technology can help in constructing the contact graph and combined with medical testing, all infected can be detected. ViSioN aims to develop the theory of non-Markovian epidemic process on networks, a surprisingly missing element today, because non-Markovian theory is needed to tell, based on the characteristic infection and curing times of the virus, how long a pandemic will last and when the peak occurs. Next, ViSioN will combine all available measurement technologies to construct the best possible contact graph via temporal networking or adaptive networking. Finally, ViSioN will explore how accurately infections can be predicted under partial information of process and contact graph.

Deadline : August 31, 2022 

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(35) PhD Degree – Fully Funded

PhD position summary/title: PhD Position Femtosecond Photoacoustic Imaging Through Engineered Acoustic Metamaterials

Photoacoustic imaging (PAI) is an emerging biomedical imaging modality for probing the optical properties of tissues at deep penetration depths. PAI leverages the photoacoustic effect wherein non-ionizing laser pulses targeted at soft tissues cause localized heating leading to thermal expansion and eventually wideband ultrasonic acoustic emissions.

Deadline : September 1, 2022

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(36) PhD Degree – Fully Funded

PhD position summary/title: PhD position in Analog/Mixed-Signal IC Design

In this PhD project you will investigate power-efficient circuits and architectures to miniaturize the recording electronics into a single battery-powered IC with >1000 independent channels. You will be embedded in the research group of Dr. Dante Muratore and will have close collaboration with other colleagues from the section Bioelectronics and the department Microelectronics. 

Deadline : August 31, 2022

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(37) PhD Degree – Fully Funded

PhD position summary/title: PhD position in Analog/Mixed-Signal IC Design

In this fully funded PhD project (UPSIDE EU grant – EIC Pathfinder Challenges), you will investigate power-efficient circuits and architectures to miniaturize the FUS apparatus into a single battery-powered IC capable of focusing and steering FUS waves in the three-dimensional space with high volumetric spatial resolution. You will be embedded in the research group of Dr. Tiago Costa and will have close collaboration with colleagues from the section Bioelectronics and the department Microelectronics.

Deadline : August 31, 2022

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(38) PhD Degree – Fully Funded

PhD position summary/title: PhD position in DC/DC Power Conversion Integrated Circuits and Systems

In this project, we are going to design energy-efficient and highly integrated DC/DC converters to provide stable and reliable power for electronic loads. We will investigate hybrid topologies and inductor-sharing techniques to reduce inductor requirement, and switched-capacitor DC/DC topologies to achieve fully integrated designs. We are looking for a Ph.D. candidate with a background in analogue integrated circuit design. The candidate should be a self-motivated researcher with excellent learning, analytical, problem-solving and communication skills. The candidate will be doing the PhD project in Dr. Sijun Du’s research group in the section Electronic Instrumentation of the Microelectronics department.

Deadline :  Augus 31, 2022

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(39) PhD Degree – Fully Funded

PhD position summary/title: PhD position in Microfabrication of Piezoelectric Ultrasound Transducers

In this fully funded PhD project (UPSIDE EU grant – EIC Pathfinder Challenges), you will investigate lossless microfabrication methods to integrated 2D arrays of piezoelectric ultrasound transducers in CMOS technology. This work will be developed both in the TU Delft cleanroom facilities and in the Biosonic laboratory. You will be embedded in the research group of Dr. Tiago Costa and will have close collaboration with colleagues from the section Bioelectronics and the department Microelectronics.

Deadline : August 31, 2022

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(40) PhD Degree – Fully Funded

PhD position summary/title: PhD position in Mixed-Signal IC Design for Battery-Free Wearables

This PhD project will focus on a near-infrared spectroscopy (NIRS) system for cerebral hemodynamics monitoring, which is fully powered by multi-source energy harvesting strategies for autonomous operation. The PhD candidate will investigate innovative solutions in (1) the analogue front-end architecture for learning-based compressed sensing and (2) the power management unit for multi-source energy harvesting, to push the state-of-the-art in wearable systems for continuous monitoring of feature-rich vitals.

Deadline : August 31, 2022

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(41) PhD Degree – Fully Funded

PhD position summary/title: PhD position Water electrolysis simulations

In this PhD project, a new computational multiscale model will be developed to take into account the complex interactions between dissolved hydrogen and hydrogen bubbles. This will allow, for the first time, the various energy losses to be mapped in space, allowing optimization of electrode geometries. After about a year, a second PhD project will start to actually make and test these electrode geometries and provide extensive model validation data. There will also be a collaboration with several companies developing and producing electrodes, coatings, electrolyzers, and electrolysis plants.

Deadline : 1 September 2022 

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(42) PhD Degree – Fully Funded

PhD position summary/title: PhD Developing a realistic reference model for human driving behaviour

i4Driving is a large new EU project in which we aim to develop a methodology to benchmark level 3 and higher vehicle automation (“autopilot”) algorithms. Using this methodology (from data collection, modelling, virtual testing, to fieldtesting) the OEM industry and the road regulators should be able to make plausible predictions about whether such auto-pilot algorithms behave like a “skilled and attentive human driver” (and preferably much safer!) when interacting with other vehicles.

Deadline : 28 August 2022

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(43) PhD Degree – Fully Funded

PhD position summary/title: PhD Geophysical Subsurface Railway Embankment and Soil Monitoring

This project aims at developing an effective monitoring approach, quantifying and visualizing geophysical soil properties, mapping geophysical soil properties to geotechnical parameters, and identifying problematic places along railway tracks. This involves 3D modelling of seismic surface waves and GPR data, developing seismic-interferometry processing to obtain dispersion curves for SWT, joint GPR-SWT inversion to estimate subsurface parameters, and collaboration with other PhD projects to develop a geophysical-to-geotechnical parameter conversion model.

Deadline : 28 August 2022

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(44) PhD Degree – Fully Funded

PhD position summary/title: PhD Position (Self)-Aware Robots for Tool Creation

The METATOOL project is a groundbreaking international and multidisciplinary project that aims at developing a novel computational model of cognition based on predictive processing (metacognition) and validating its utility in real robots in the context of conditional sequential tasks (tool use) and tool creation.

Deadline : 28 August 2022 

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(45) PhD Degree – Fully Funded

PhD position summary/title: PhD Position Awareness and Tool Creation in Ancient Humans and Future Robots

The METATOOL project is a groundbreaking international and multidisciplinary project that aims at developing a novel computational model of cognition based on predictive processing (metacognition) and validating its utility in real robots in the context of conditional sequential tasks (tool use) and tool creation.

Deadline : 28 August 2022

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(46) PhD Degree – Fully Funded

PhD position summary/title: PhD position Hybrid cognitive architecture for deep understanding

The CoreSense project is a groundbreaking international and multidisciplinary project that aims at formulating a theory of awareness based on a systemic concept of understanding, and implementing it in a reference hybrid cognitive architecture and engineering toolbox for aware autonomous robots. The novel architecture will be validated in the development of three autonomous robot demonstrators with increased capabilities to work without/with limited supervision, and next-generation interaction with humans, with greatly improved intuitive, safe and efficient cognitive, social and physical capabilities, to assist humans. The results will be released in the form of reusable software assets for the ROS ecosystem.

Deadline : 28 August 2022

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(47) PhD Degree – Fully Funded

PhD position summary/title: PhD position AR/VR interactive techniques for education

Within the project’s scope, we aim at developing novel interaction, navigation and visualization methods for mixed reality to allow for effective visual communication and improve the educational experience. A  more specific goal, for example, is to facilitate demonstrations and collaborative tasks. Some of the possible research directions within Computer Graphics and Visualization are non-photorealistic rendering and illustration techniques for AR/VR, gaze guidance, and camera and location management to enhance physical awareness.

Deadline : August 26, 2022

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(48) PhD Degree – Fully Funded

PhD position summary/title: PhD Airborne transmision and ventilation

In 2021, Erasmus MC, TU Delft and Erasmus University Rotterdam have joined forces in the Pandemic and Disaster Preparedness Center (PDPC). The PDPC brings together national and international expertise in the fields of virology, public health, climate, technology and social and societal impact, with the aim to better prepare society for future pandemics and disasters. The focus is on a long-term research agenda that contributes to reducing vulnerabilities and build resilience through effective disaster prevention, preparedness and recovery measures. Convergence of the technical, medical and social sciences is essential for developing the next generation of approaches to disasters and pandemics and limit the impact of future crisis. PDPC therefore promotes a proactive integrated scientific approach that identifies risks, develops scenarios, builds and tests innovative models, and provides scientifically based policy advice.

Deadline : Augustus 22, 2022:

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(49) PhD Degree – Fully Funded

PhD position summary/title: PhD Position Dynamical Systems Perspective on Clouds

Clouds, specifically shallow clouds over the global oceans, are the largest source of uncertainty for climate projections. During your PhD research, you will explore concepts from the field of dynamical systems theory, statistical physics and non-equilibrium thermodynamics to improve our understanding and modeling of stratocumulus clouds. You will apply these concepts to analyze large data sets of cloud fields. You will work with existing data from simulations and observations as well as perform your own numerical simulations if useful. Within a broad scope, we will guide you in designing specific research projects that take your own ideas and interests into account.

Deadline : August 21st 2022 

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(50) PhD Degree – Fully Funded

PhD position summary/title: PhD Position in Experimental Soil Mechanics

Organic soils are extremely vulnerable to climate change as increased temperatures accelerate drying, shrinkage and decomposition of the organic matter. Gases such as CH4 and CO2 produced by the decomposition of the organic matter saturate the pore fluid and can eventually be exsolved as bubbles by temperature increase, atmospheric pressure decrease, and unloading. Gas bubbles in soils can compromise the performance and safety of structures and infrastructure with irreversible deformations and reduction of resistance. Research on the effects of gas bubbles on the response of organic soils is still at an early stage and a comprehensive geotechnical model for the effects of gas in organic soils is still lagging behind. The project aims at deepening the understanding and modelling of the hydro-mechanical behaviour of organic soils containing gas bubbles to mitigate the impact of climate-related hazards in natural organic soils.

Deadline :  August 22nd 2022

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(51) PhD Degree – Fully Funded

PhD position summary/title: PhD position in Explainable Combinatorial Optimisation

We are seeking a highly motivated candidate to work on the intersection between combinatorial optimisation, AI, and explainability. Modern optimisation methods are invaluable in assisting decision-makers in complex problems with difficult constraints, e.g., scheduling, production-planning, logistics, and transportation. However a glaring problem is that, even though the final solutions provided by the algorithms may be optimised, it may be difficult to understand why the reasoning behind the algorithmic decisions. This is particularly a problem in cases where the algorithm is expected to interact with a human decision-maker who needs to justify the decisions to relevant stakeholders.  

Deadline : August 21, 2022

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(52) PhD Degree – Fully Funded

PhD position summary/title: PhD position on Developing hematopoietic stem cell cultivation in a bioreactor.

This project is part of a consortium that aims to unravel hereditary anemias using induced pluripotent stem cells (iPSCs) for the purpose of gaining more fundamental knowledge and novel therapies. This consortium focuses on hematopoietic stem cells (HSCs). Mature blood cells are continuously replenished by HSCs to make sure that essential mechanisms remain functional, such as oxygen tranport and defence again pathogens. The production of new blood cells is impaired in a plethora of diseases. Blood transfusion is often the only therapeutic option and stem cell transplantation the only curative treatment. To obtain viable therapies, it is essential to build up know-how on large scale cultivation of iPSC-derived autologous HSC transplantation production. The TU Delft contributes to this consortium with two PhD positions of which one is described in this vacancy. The PhD position in this vacancy is experimental and will establish HSC production at lab-scale. The second PhD position is computational and focussed on employing computational fluid dynamic simulations to design bioreactor cultivations.

Deadline : 21 August 2022

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(53) PhD Degree – Fully Funded

PhD position summary/title: PhD Position Operations & Maintenance Optimization of Offshore Wind

Wind energy is set to be a major contributor to the decarbonisation of the energy sector. Offshore wind farms are being built without subsidy, but successful offer prices are predicted to further reduce cost. Operation & Maintenance (O&M) can contribute up to 30% of the levelized cost of energy (LCOE) of offshore wind. Making decisions for planning and scheduling of maintenance is important and plays a critical role in reducing the cost and realizing the scale of wind power.

Deadline : 20 August 2022

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(54) PhD Degree – Fully Funded

PhD position summary/title: PhD in Aircraft Maintenance Simulator and Strategy Optimisation

This PhD project will focus on the development of a Maintenance Repair and Overhaul (MRO) simulator that can evaluate various maintenance concepts on a strategic level in terms of aspects such as fleet availability, costs, reliability, and network value. The simulator should enable the analysis and design of the most optimal maintenance schedule within the airline’s network. The core element of the simulator will be an optimisation model that plans the maintenance events in the coming months, taking into account the network flight requests, maintenance resource availability, aircraft health condition, and airworthiness requirements.

Deadline : August 15th 2022 

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(55) PhD Degree – Fully Funded

PhD position summary/title: PhD position “Modelling solid-state electrolytes and electrodes, focusing on the interfaces in next generation lithium batteries”

The PhD position will part of the BatteryNL Dutch battery consortium project focusing on electrolyte-electrode interfaces in solid-state batteries. In this project 17 PhD’s and 5 PD’s at five Dutch universities are collaborating on investigating interface processes with a range of techniques (diffraction, imaging and spectroscopy) to obtain better understanding, and on the development of improved inter phases with various deposition methods. This specific position is located at the Storage of Electrochemical Energy group at the Reactor Institute Delft of the Delft University of Technology

Deadline : August 15, 2022

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(56) PhD Degree – Fully Funded

PhD position summary/title: PhD Position Energy Citizenship for Inclusive Decarbonization

We are offering a PhD position at the interface of science, civil society and policy as a part of the Horizon 2020 Energy Citizens for Inclusive Decarbonization (ENCLUDE) project.  You will become part of an international consortium of researchers and practitioners that across 13 institutions within the EU and beyond (including Greece, Switzerland, Romania, Belgium, Macedonia, Canada and among other countries). We are interested in expanding the countries of analysis, including but not limiting to Ukraine, with the intention to support potential scholars who have been forced to flee due the invasion of Ukraine. You will be expected to assess and consolidate the social and environmental impact of bottom-up decarbonization activities across the EU. You should have an interest in the energy transition, the role of the individual and collective in social transformation and open to working with both qualitative and quantitative methods.

Deadline :15  August 2022 

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(57) PhD Degree – Fully Funded

PhD position summary/title: PhD position Graph-based Machine Learning for Power System State Estimation

As part of your 4-year PhD project, you will develop novel graph-based machine learning algorithms for state estimation of energy systems. The scientific challenge is to design a real-time state estimator for the distribution system that accounts for future needs. The future system requires tasks to manage flexibility provisions from distribution systems, effective anomaly detection, congestion management, and fraud detection. State estimation is an important task where the operator considers very little noisy measurement data to infer the full system state. However, often, the accuracy is used to infer the full state while the true state is seldom known and can only be reproduced in computer simulations. Therefore, you will explore a novel approach investigating graph neural networks and structural information and learn the state-estimator semi-supervised enforcing known constraints.

Deadline : August 15, 2022.

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(58) PhD Degree – Fully Funded

PhD position summary/title: PhD Position on Artificial Intelligence for Collaborative Climate Risk Management

Your goal, in this PhD project, is to develop Artificial Intelligence (AI) techniques for supporting an Integrative Forum (IF), which facilitates two-way exchange and knowledge co-creation on climate risk management. The IF, on the one hand, provides a ‘soft space’ for debate and reflection between research teams, societal partners, and citizens at large. On the other hand, the dialogue in the IF provides an opportunity for innovative research on institutionalized logics, tactics, and procedures that hinder or enable effective cross-disciplinary collaboration.

Deadline : August 15, 2022

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(59) PhD Degree – Fully Funded

PhD position summary/title: PhD Position Efficacy of Sediment Nourishments in Groyne Fields of Engineered Rivers

The project objective is to provide insight on (1) entrainment of sediment artificially added to the groyne field and its transport to the main channel, (2) the conditions under which groyne field nourishments (gravel-sand) contribute to mitigating channel bed erosion and to enhancing nature values of the bank zone, and (3) best practices for design and upscaling groyne-field nourishments.  

Deadline : August 15th 2022

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(60) PhD Degree – Fully Funded

PhD position summary/title: PhD Position Signal Processing for Nonlinear Waves

We are looking for a PhD student with a background in an engineering discipline, physics or mathematics to work in the area of signal processing for data governed by nonlinear wave equations. The position can be focused either on the development of novel methods, or on the exploration of new applications. The candidate should have a relevant background such as, for example, numerical methods, signal processing, machine learning, or an application field related to nonlinear waves.

Deadline : 15 August 2022 

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(61) PhD Degree – Fully Funded

PhD position summary/title: PhD Position Vulnerability Scanning, Incident Response and Security Benchmarking

Within this project, we are looking for a motivated researcher interested in doing research in program analysis, vulnerability scanning and management, and security benchmarking. This includes randomised control experiments with how to effectively notify and incentivize organisations to patch discovered vulnerabilities. You would closely collaborate with our academic and industrial partners to perform Internet-wide scanning of enterprise networks, to analyse the obtained results, benchmark organisations and to find the best ways of reducing risks related to security vulnerabilities.

Deadline : August 14, 2022

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(62) PhD Degree – Fully Funded

PhD position summary/title: PhD Positions in Signal Processing and Machine Learning for Multimodal Molecular Imaging

The Van de Plas lab is offering PhD positions in signal processing and machine learning for multimodal imaging, to build 3-D molecular atlases of human tissue. The positions have a special focus on spectral imaging modalities such as imaging mass spectrometry and multiplexed immunofluorescence microscopy, as well as on exceptionally large and high-dimensional data.

Deadline : August 14, 2022

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(63) PhD Degree – Fully Funded

PhD position summary/title: PhD position on Data-driven agent-based modeling to optimize electricity and thermal distribution networks joint operation and investments.

The selected candidate will work on developing data-driven agent-based models to optimize the joint operation of the electricity and thermal distribution network. Interaction between different stakeholders, including residential, commercial and industrial users, as well as the system operators, must be considered. The data-driven agent based approach will enable to study and assess how investment decisions done by one stakeholder affect the decisions and behaviour of others. The developed models can then be used to achieve system-optimal decisions to guide investments in the short- and long-term for electricity and thermal distribution network considering stakeholders interaction.

Deadline : August 11, 2022

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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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