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33 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 TU Delft, Netherlands.

Eligible candidate may Apply as soon as possible.

 

(01) PhD Degree – Fully Funded

PhD position summary/title: PhD Position Software Restructuring

We are looking for versatile candidates who can contribute to the development of theoretical foundations, design of meta-languages, implementation and integration of languages and libraries in the language workbench, and evaluate the new techniques in case studies.

Deadline :  30 June 2022

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(02) PhD Degree – Fully Funded

PhD position summary/title: PhD: Role of the cytoskeleton in cell membrane electroporation and cargo translocation

New genome editing tools promise to repair cell functions at the source. However, they require the delivery of nucleic acids and/or gene editing enzymes directly into cells. Electroporation by transient disruption of the membrane under electric pulses can in principle deliver cargo molecules straight to the cytosol. However, the mechanisms that determine the efficiency of electroporation across the cell membrane are unknown. We recently discovered that the actin cytoskeleton, a crosslinked network of filamentous proteins that lines the cell membrane, plays an important role in the barrier function of the cell surface. The aim of this experimental PhD project is to reveal the biophysical mechanisms by which the actin cortex and the membrane together govern electro-transfer of nucleic acids and proteins across the cell membrane. To this end, you will harness techniques developed by the Koenderink lab to create synthetic cell-like lipid vesicles with tunable cytoskeleton-membrane interactions. 

Deadline : 30-05-2022

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(03) PhD Degree – Fully Funded

PhD position summary/title: PhD position in Probability Theory

The PhD position is in the area of Probability Theory and interacting particle systems.The PhD project is a NWO funded “open competition project’” which deals with interacting particle systems in a geometric context. The aim is to study hydrodynamic limits for particle systems on random (geometric) graphs which approximate a limiting geometric structure such as a Riemannian manifold. In a second stage  of the project the aim is to understand geometric flows such as Ricci flow as a hydrodynamic limit of random graph evolutions.

Deadline : March 17, 2022

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(04) PhD Degree – Fully Funded

PhD position summary/title: PhD Position in Piezoelectric Micromachined Ultrasound Transducers (PMUT)

Ultrasound technologies have been used for decades in biomedical imaging and therapy, due to its non-invasive nature and versatility. Ultrasound transceivers have evolved from single-element transducers to 1D and 2D arrays, allowing for 2D and 3D imaging respectively through beamforming. The successes of ultrasound systems in clinical practice are pushing for devices in settings and scales not accessible so far. Examples of potential locations for ultrasound transceivers include medical catheters, implants and cell phones.

Deadline : March 15, 2022

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(05) PhD Degree – Fully Funded

PhD position summary/title: PhD position Development lab-scale electrolyser for conversion of CO2 (1/3)

In this position you will develop a lab-scale electrolyser for conversion of CO2 to ethylene that can deal with variations in the power supply. This setup will be used to test operation under dynamic conditions: the impact of variations in power supply on electrochemical performance and stability will be assessed.

Deadline : 5 March 2022

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(06) PhD Degree – Fully Funded

PhD position summary/title: PhD position multiscale modelling of electrolysers for conversion of CO2 (2/3)

In this position you will work on multiscale modelling of electrolysers. It will be crucial to consider the various scales that play a role, such as the catalyst scale (kinetics, deactivation, etc.) and the reactor scale (mass transfer, heat transfer, etc.). Moreover, the developed models have to be time-resolved, in order to be useful for this project. 

Deadline : 5 March 2022

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(07) PhD Degree – Fully Funded

PhD position summary/title: PhD : New light-responsive engineered living materials based on microalgae

The aim of this project is to fabricate the first light-responsive microalgae-based materials that use the light-driven motion of cells for dynamic and reversible control over the 3D organisation and shape of the living material.

The PhD student will devise fabrication approaches for porous hydrogels, which can host motile microalgae cells. He/she will also study how the material properties are locally affected by the presence and response of living cells. 

Deadline : 1st of March 2022

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(08) PhD Degree – Fully Funded

PhD position summary/title: PhD Position AI/ML-based Optimization of Wireless Network

The successful applicant will work at the nexus of AI/ML-based optimization techniques and networks in collaboration with top-notch industry such as Telefonica, Nokia Bell Labs, NEC and others, in the context of a large-scale H2020 project (DAEMON).

Deadline : February 28, 2022

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(09) PhD Degree – Fully Funded

PhD position summary/title: PhD Position Near-IR sensitivity for future applications of CMOS Image Sensors

Near-IR sensitivity of CMOS Image Sensors is becoming extremely important for all kind of applications around measurements and controling.  Think about distance measurements in automotive, face recognition of mobile unlocking, gesture control, etc.  Unfortunately the sensitivity of standard silicon based CMOS image sensors is relatively low.  The PhD project will focus on the investigations to further increase the near-IR sensitivity of CMOS image sensors.  Solutions may be found in technology, design, lay-out and/or choice of material.

Deadline : February 28,2022

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(10) PhD Degree – Fully Funded

PhD position summary/title: Phd Researcher on Responsive Information Exchanges for Infrastructures-in-transitions

This project is funded by NWO (Principal Investigator: Dr. Daan Schraven), and is a collaboration between the Faculty of Architecture and the Built Environment (ABE), Faculty of Civil Engineering and Geosciences (CITG), Faculty of Technology, Policy and Management (TBM) in TU Delft, as well the Erasmus Initiative on the Dynamics of Inclusive Prosperity at Erasmus University Rotterdam. This PhD position will be supervised by Dr. Daan Schraven (CITG), Dr. Martijn Leijten (TBM) and Prof. dr. Paul W Chan (ABE, Main Promotor).

Deadline : February 25, 2022

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(11) PhD Degree – Fully Funded

PhD position summary/title: PhD position 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 : February 22, 2022 

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(12) PhD Degree – Fully Funded

PhD position summary/title: PhD position on learning in infrastructure projects to generate more value for society

This PhD research is aimed at understanding the process of learning in infrastructure projects. Learning is challenging in a transdisciplinary infrastructure setting which requires diverse knowledge exchanges with multiple stakeholders in contrast to monodisciplinary settings where specialists find each other and communicate effectively.

Deadline :  21 February 2022

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(13) PhD Degree – Fully Funded

PhD position summary/title: PhD position in Argumentative Dialogsystem for Human-Robot deliberations

This position is specifically targeted at the development of an argumentative dialogue system for human-robot interaction.  The PhD candidate will explore how to fuse verbal and non-verbal behaviour to infer a person’s perspective. The candidate will use, and further develop, reinforcement learning techniques in order to drive the robot’s argumentative strategy for deliberating topics of current social importance such as global warming or vaccination.

Deadline : February 16, 2022.

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(14) PhD Degree – Fully Funded

PhD position summary/title: PhD Position Protection of Future Power System Components (PRoteuS)

This is a four-year doctoral appointment, with an anticipated start date of June the1st 2022. You will be jointly supervised by Dr. Dipl.-Ing. Marjan Popov (associate professor) and Dr. Aleksandra Lekic (assistant professor). You will be a member of the section Intelligent Electrical Power Grids in the Faculty of Electrical Engineering, Mathematics, and Computer Science. The project will offer opportunities to collaborate with industrial partners, but also with academics from other disciplines, as required (mathematics, operations research). Within the team, we strive to develop methods that are mathematically rigorous and have near-term application potential. We are strong supporters of open science (publishing, source code, data). 

Deadline : February 15, 2022.

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(15) PhD Degree – Fully Funded

PhD position summary/title: PhD position Tiny smart e-nose for fine-grid early detection of crop infestation – system integration

Electronic noses (e-noses) have a wide range of applications in agri-/horticultural, food, environmental, medical, industrial, smart home, and homeland security domains. However, state-of-the-art e-noses are typically built from a few discrete gas sensors, connected to separate read-out, A/D, control, and I/O electronics. They are inflexible, large, power-hungry and expensive. This severely limits their use for continuous fine-grid monitoring of volatile organic compounds (VOCs) in mobile (drones, robots), hand-held, and disposable devices.

Deadline : February 11, 2022 

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(16) PhD Degree – Fully Funded

PhD position summary/title: PhD position Degradation modelling & health monitoring of fuel cell systems

In this position, you will investigate degradation and develop health monitoring approaches for maritime fuel cell systems. While fuel cells already achieve sufficient lifetime for light commercial vehicles, degradation is still a challenge for the demanding conditions and requirements of ships. You will develop a (multiscale) modelling approach to predict fuel cell degradation for realistic operational conditions and duty cycles. Degradation rates will be quantified with experimental research at lab scale and operational data. The numerical model will be used to predict degradation and determine the state of health of fuel cells in practical operation. This will ultimately allow for improved system design and control to increase the lifetime of maritime fuel cell systems.

Deadline : 6 February 2022

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(17) PhD Degree – Fully Funded

PhD position summary/title: PhD position Bunkering, storage and handling of solid hydrogen carriers: modelling and experiments

Description of this PhD project. To achieve concept designs for application of solid hydrogen carriers such as NaBH4 in maritime applications, this project investigates handling, storage and bunkering of a solid hydrogen carriers. First, hydrate material handling and storage properties will be experimentally characterised on port relevant time and length scales as it is pivotal to use these as key parameter to an efficient, safe and sustainable design of material handling systems on board and for bunkering. Next, based on the experimental characterisation of the material and the interaction parameters with equipment, virtual material models (by particle based models such as Discrete Element Method) will be developed to enable simulation based virtual prototyping of the onboard handling, storage and bunkering system. Finally, the validated models will then be used for simulation supported design and evaluation of the material handling systems concept designs on time and length scales relevant to industrial applications in ports.

Deadline : 6 February 2022

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(18) PhD Degree – Fully Funded

PhD position summary/title: PhD position Candidate Methanol Reforming for Fuel Cell Systems

In this research, you will work on methanol reforming for emission-free power generation in fuel cell systems. Methanol reforming has been demonstrated in various research projects and fuel cell systems. However, it is unknown how the methanol reforming process can be tailored best to the needs of different fuel cell types and applications. You will develop a dynamic model for the methanol reformer and validate it with experimental data. The model will be subsequently integrated to develop integrated dynamic system models for low- and high temperature fuel cell systems with integrated methanol reformers. The models will be then be used to determine the optimal reformer and process design for methanol-fuelled fuel cell systems and assess their applicatiliby for different ship types.

Deadline : 6 February 2022

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(19) PhD Degree – Fully Funded

PhD position summary/title: PhD position Digital twins of the power and propulsion system

This project focusses on the development of digital twins of the modern power and propulsion systems of ships. These digital twins consist of models of the power and energy distribution systems on board of ships. The energy is supplied by fuel cells. The loads depend on the ship type and consist of propulsion, dynamic positioning, hotel loads, cranes, and dredging processes. In most cases, energy storage in batteries and/or supercapacitors is necessary, because the combustion engines and the fuel cells cannot deliver the dynamic loads required for these applications.

Deadline : 6 February 2022

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(20) PhD Degree – Fully Funded

PhD position summary/title: PhD position Dynamic behaviour of dual-fuel methanol engines through injection pressure, timing and (mixed) injection locations

This research position will be responsible for the evaluation of the feasibility of Reactivity Controlled Compression Ignition for the compression ignition engines in the lab, the development of dynamic models for Compression Ignition engines and the use of these models within the research group for the prediction of the dynamic behaviour of methanol dual fuel engines. The work will take place at the engine lab of the Netherlands Defence Academy in Den Helder, in close cooperation with the research group at Delft University of Technology. The researcher will model and evaluate the feasibility of RCCI and the dynamic behaviour of various injection methods of methanol in dual-fuel compression ignition engines. This work will lead to a validated dynamic model for a methanol compression ignition engine that can be used in the further project.

Deadline :  6 February 2022

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(21) PhD Degree – Fully Funded

PhD position summary/title: PhD position Fuel cell system integration in ship power & propulsion systems and heat networks

In this position, you will work on the integration of high temperature solid oxide fuel cell (SOFC) systems in the onboard heat & energy distribution network of ships. SOFCs hold great potential benefits in terms of fuel flexibility, waste heat recovery and efficiency. However, successful integration in ships require new approaches to design and optimise main and auxiliary systems as well as ship networks. You will develop models to quantify fuel consumption, heat availability and degradation for various duty cycles. These models will be parameterised and validated using experimental and/or operational data. The validated models will be used to develop a framework to scale system components and modularity for different operational profiles.

Deadline : 6 February 2022

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(22) PhD Degree – Fully Funded

PhD position summary/title: PhD position Hydrogen-based vessels data analysis and analytics for control and condition monitoring of primary onboard systems

This research position will be responsible for developing a Data Hub providing the SHIP2DRIVE consortium and researchers with the unique opportunity to centralise and exploit the data generated within the project lifetime. In addition, the research will develop tools, exploiting state-of-the-art Artificial Intelligence-based techniques to define data-driven models and optimal control strategies to translate the raw data into knowledge and assist the shipowners and operators in undertaking the optimal control strategies towards zero-emission propulsive solutions and vessel/components lifetime enhancement.

Deadline : 6 February 2022

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(23) PhD Degree – Fully Funded

PhD position summary/title: PhD position Hydrolysis of solid hydrogen carriers: modelling and experiments

The goal of this subproject is to understand the hydrolysis process of boron hydride dissolved in water and to optimize a scalable reactor for hydrolysis of boron hydrides. The most critical open questions regarding reactor design will be formulated, which we expect will be related to:

  • mass transfer limitations between liquid solution and catalyst surface,
  • insufficient cooling of the reactor, and
  • the difficulty of multiphase flows (such as trapped hydrogen bubbles).

Deadline : 6 February 2022

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(24) PhD Degree – Fully Funded

PhD position summary/title: PhD position Integrated Hydrogen Carrier solutions for Zero Emission Ship propulsion systems

The goal of this subproject is to understand the performance of the hydrolysis process of boron hydrides, LOHC’s and possible other hydrogen carriers in an integrated marine engineering configuration. The conceptual work should establish the parameters to analyse this integration, and to identify the relevant differences between the balances in these integrated plants. The most critical open questions regarding system integration will be formulated, which we expect will be related to:

  • mass and energy transfer limitations
  • energy requirements/production and waste heat usage, total efficiencies of the system
  • chemical constraints for storage of the hydrogen carrier and storage/transport of the spent fuel
  • safety characteristics and mitigation measures of the hydrogen alternatives related to each other
  • system controls architectures to control the integrated chemical, electrical and propulsion system
  • cost parameters relevant for the hydrogen carrier design solution.

Deadline :  6 February 2022

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(25) PhD Degree – Fully Funded

PhD position summary/title: PhD position Intelligent Power and Energy Management System for DC Energy Distribution Systems of Methanol-Fuelled Ships

This research position will be responsible for the development, evaluation, and validation of power and energy management strategies for DC distribution systems with methanol engines, fuel cells and batteries. A comprehensive intelligent framework will be developed capable of prescribing robust control strategies that satisfy complex specifications to guarantee maximum energy efficiency while ensuring the maximum service life and minimum emissions and costs.

Deadline :  6 February 2022

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(26) PhD Degree – Fully Funded

PhD position summary/title: PhD position Mechanochemical regeneration of solid hydrogen carriers: modelling and experiments

To make the application of boron hydrates circular, it is important to recycle the spent fuel (generally consisting of oxygenated species) that is left after hydrolysis of the boron hydrides. An option that has emerged recently is to reduce the spent fuel through mechanochemical reactions with metallic species such as Mg or Al. Such reactions are not induced or catalyzed by a high temperature but rather by the action of crushing and shearing the solid particles together. The goal of this subproject is to better understand this mechanochemical reaction process, and to optimize the conditions for large-scale mechanochemical regeneration of the spent fuel. You will identify the most critical component of the regeneration process, which is likely to be the possibility to exert sufficient mechanical pressure and shear forces under specific conditions of temperature, pressure and composition of the inert or hydrogen gas environment. You will then design scalable equipment in three stages. 

Deadline : 6 February 2022

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(27) PhD Degree – Fully Funded

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

The main objective for this PhD student is to develop computationally efficient models for optimal investment and operation of the energy system, taking into account and the cross-coupling between electricity, heat, and gas, while including the key system flexibility constraints, to facilitate decision-making towards an efficient and sustainable future energy system. The intended approach is to develop novel techniques in the intersection of machine learning and optimization to find the right level of modelling detail, balancing accuracy and computability.

Deadline : February 6, 2022

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(28) PhD Degree – Fully Funded

PhD position summary/title: PhD position Power system control and energy management

This project focusses on the control of the the modern power systems and the energy management of ships. The energy for the system is supplied by fuel cells. The loads depend on the ship type and consist of propulsion, dynamic positioning, hotel loads, cranes, and dredging processes. In most cases, energy storage in batteries and/or supercapacitors is necessary, because the combustion engines and the fuel cells cannot deliver the dynamic loads required for these applications.

Deadline : 6 February 2022

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(29) PhD Degree – Fully Funded

PhD position summary/title: PhD position Quasi-static behaviour of dual-fuel methanol engines through injection methods, timing and temperature management

This research position will be responsible for the development, evaluation and use of models for the direct injection in the cylinder and the injection and evaporation of methanol in compression ignition engines and the use of these models within the research group for the prediction of the quasi-static behaviour of methanol dual fuel engines. The work will take place at the engine lab of the Netherlands Defence Academy in Den Helder, in close cooperation with the research group at Delft University of Technology. The researcher will model and evaluate the behaviour of various injection methods of methanol in dual-fuel compression ignition engines and the effect injection location, injection timing and evaporation variatio, ignition timing, in order to evaluate engine performance and the trade-off between efficiency, combustion stability and emissions. This work will lead to a validated model for a methanol compression ignition engine that can be used in the further project.

Deadline : Open until filled

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(30) PhD Degree – Fully Funded

PhD position summary/title: PhD position Quasi-static behaviour of spark ignition methanol engines through evaporation variation, ignition timing and waste heat recovery

This research position will be responsible for the development, evaluation and use of models for the behaviour of methanol spark ignition engines and the use of these models within the research group for the prediction of the behaviour of the methanol energy system as a whole. The initial work will take place at the engine lab of the Netherlands Defence Academy, in close cooperation with the research group at Delft University of Technology. The researcher will model and evaluate the behaviour of methanol spark ignition engines and the effect evaporation variation, ignition timing and waste heat recovery, in order to propose improvement to engine performance. To investigate the effect of waster heat recovery, cooperation is required with LPS twin turbine, who delive the waste heat recovery system to the lab and perform trials with the system. The initial work will lead to a validated model for a methanol spark ignition engine that can be used in the further project.

Deadline : 6 February 2022 

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(31) PhD Degree – Fully Funded

PhD position summary/title: PhD position Safe, modular and redundant DC energy distribution systems for ships

This project focusses on the modelling and design of safe and reliable DC power distribution systems on board of ships. DC systems have the potential to be smaller and more efficient than AC systems, so this project focusses on DC systems. The energy is supplied by generators driven by combustion engines on methanol or by fuel cells. The loads depend on the ship type and consist of propulsion, dynamic positioning, hotel loads, cranes, and dredging processes. In most cases, energy storage in batteries and/or supercapacitors is necessary, because the combustion engines and the fuel cells cannot deliver the dynamic loads required for these applications.

Deadline : 6 February 2022

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(32) PhD Degree – Fully Funded

PhD position summary/title: PhD position Uncertainty Propagation in Forward Compatible Ship Design

This forward compatibility only works if the design of the ships allows for the implementation of new technologies. This is based on a change in the design process. Where the focus is now mainly on knowledge from the past and intuition through a solution-oriented approach (such as the design spiral), a more flexible structure needs to be developed that can decouple requirements, functions and interpretation from each other. Such an approach is (Model Based) Systems Engineering. This approach enables the designers to trace the requirements and how these lead to certain system choices.

Deadline : 6 February 2022

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(33) PhD Degree – Fully Funded

PhD position summary/title: PhD Distributed Space Systems for Atmospsheric density sensing

TU Delft is looking for an ambitious PhD candidate to work at the Faculty of Aerospace Engineering to optimize the architecture of a distributed space system of small satellites to maximize science return on the characterization of atmospheric density at low altitudes. The use of small satellites limits the sensitivity with respect to bigger platforms but it allows to easily implement multi-point measurements using constellations or loose formations. This mission would be based on GNSS measurements, complementing them with other systems to improve atmospheric sensing (miniaturized accelerometers, neutral mass spectrometer, drag control / compensation). 

Deadline : 31-01-2022

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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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