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-position Musical Robot for People with Dementia
The PhD-candidate will join the QoLEAD project, a unique interdisciplinary collaborative network for the co-creation of intelligent personalized support for people with dementia (PwD). This position is at the Interactive Intelligence group of TU Delft, with a tight connection to the Music, Brain, Health & Technology (MBHT) lab of University Leiden (Rebecca Schaefer, the head of the lab, will co-supervise the PhD). Furthermore, the PhD-research is part of a work package that develops a “social agent and robot framework”, in which TU Delft closely collaborates with the Radboud University, RU (i.e., the concerning RU PhD-student and supervisors who focus on a supportive virtual agent).
Deadline : March 6th, 2023
(02) PhD Degree – Fully Funded
PhD position summary/title: PhD Social inequalities over time, space and scale
In the conditions of growing economic inequalities, population ageing, as well as international and internal migrations, it is important to explore how different aspects of segregation (by ethnicity, income, age, and other dimensions) develop, relate to each other, and affect people. While there is a lot of discussion in the Netherlands – and internationally – about segregation, both ethnic and socioeconomic, there is no clear evidence of whether the segregation of different groups within the population is increasing or decreasing over longer periods of time, whether the spatial scale of segregation is increasing or decreasing, and how this differs between different places within the country. One of the main challenges in research on sociospatial inequalities and their effects on people is the measurement of the spatial context in which people live. Traditionally, this spatial context is measured at a single point in time, using one variable (such as the percentage of people in poverty) and at a single spatial scale (often a neighbourhood represented by an administrative unit). Researchers and policy makers increasingly acknowledge that spatial context measures should be longitudinal, multidimensional and multiscale, embracing various areas (from micro to macro) to which people are potentially exposed. This means that the full residential histories of people during their lives must be measured across spatial scales. The Netherlands has excellent and unique register data, which allows the creation and analysis of such spatial context variables. A longitudinal, multidimensional and multiscale perspective helps urban planners and urban designers to better understand the impact of the city on individuals and their opportunities to do well in life.
Deadline : Open until filled
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(03) PhD Degree – Fully Funded
PhD position summary/title: PhD Identification of Dynamic Track Stiffness Profiles from Rail Displacement Fields under Moving Train Axles
Within the research program STEM (“SpoorTrillingen EmissieModel”) Delft University of Technology is cooperating with the Dutch partners ProRail, TNO and Deltares on a better control of train-induced environmental vibration on the Dutch railway network. The program, supported by an experimental agenda, focuses on developing a state of the art simulation tool for vibration diagnosis in existing situations and prediction in design/mitigation situations.
Deadline : 12 March 2023
(04) PhD Degree – Fully Funded
PhD position summary/title: PhD position in Flexible Floating Structure Modelling and Analysis
The transformation of our energy systems from fossil fuel-based to renable-based systems is calling for innovative solutions to harvest renewable energies at land, at sea and in space. Very flexible floating structures (VFFS) have been proposed to unlock the full potential of offshore floating photovoltaics. VFFS follow the wave elevation and allow for large structural deflections. Ballasting systems can prevent wind and currents from folding the leading edge. However, wrinkling is critical for the solar modules and can lead to structural collapse.
Deadline : March 15, 2023
(05) PhD Degree – Fully Funded
PhD position summary/title: PhD Position High-resolution spectroscopy of water across the Solar System
Signs of hydration are present on the surface of most planetary and airless small bodies of the Solar System. The study of such features is of interest for the search for the origins of life in the Solar System as water is one of the building blocks. On airless planetary bodies, the water can be found either solid as water ice or as hydrated minerals resulting from an ancient flow of liquid water on the surface. Hydration can be detected through infrared spectroscopic observations of the planetary body, each state of water leaving a characteristic feature in the resulting spectrum. Investigations of these hydration signs through high-resolution spectroscopy could bring information on the composition and structure of the observed surface, from which the formation mechanism and alteration history of the body can be derived.
Deadline : 17 March 2023
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(06) PhD Degree – Fully Funded
PhD position summary/title: PhD Position Optimized Composite Material Design for Liquid Hydrogen Tank Under Mechanical and Thermo-mechanical Load
Composite Pressure Vessels (CPV) are well suited for hydrogen storage of next-generation sustainable aircraft. In this project, we will look at the filament-wound composite shell of the CPV. The project will focus on the tailoring of thermo-mechanical properties of a hydrogen storage tank for cryogenic working conditions using variable stiffness filament winding architectures. The novelty of the research will be the tailoring of thermo-elastic response of filament-wound composite structures to optimize the gravimetric efficiency of CPVs for hydrogen storage. This requires the prediction of the stress state and failure of the laminate factoring in residual stresses of the manufacturing process and thermal stresses under cryogenic (working) conditions, which need specifically developed analysis tools. Thermal stresses and different failure phenomena including failure of the vessel under cryogenic conditions will be considered in the model. Physics-based modelling approaches are being chosen in a finite element analysis framework. After validating the thermal stresses and resulting displacements for a flat plate, the complete composite pressure vessel will be modelled. The developed analysis method will be used to tailor the thermo- mechanical response of the laminate to alleviate the thermal stresses and strains.
Deadline : 19 March 2023
(07) PhD Degree – Fully Funded
PhD position summary/title: PhD Position in Self-Supervised Deep Learning and Computer Vision
Deep learning is entering a new era. More fundamental questions are being raised comparing human-level performance with that of AI-powered machines. Current deep learning systems are data-hungry and require substantial supervision rendering them inefficient in many practical circumstances. They also illustrate significant performance degradation under data domain changes. In contrast, humans learn fast from only a handful of samples under weak or no supervision at all. Self-supervised learning sits at the core of a new learning paradigm that can potentially enable machines to learn meaningful abstractions of the world, allowing them to act more swiftly and responsibly.
Deadline : March 24, 2023
(08) PhD Degree – Fully Funded
PhD position summary/title: PhD Positions Energy-efficient Computation-In-Memory applications
For edge-AI applications like personalized healthcare, computing systems with unprecedented energy efficiency are essential. Novel computing paradigms, such as computation-in-memory (CIM) using conventional SRAM and memristive devices offer significant energy efficiency potential. However, CIM requires significant research and development efforts in different aspects related to the full stack of computing systems design, e.g., circuits, micro-architectures, system architectures, compilers, and algorithms, along with design tools and methodologies.
Deadline : March 30, 2023
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(09) PhD Degree – Fully Funded
PhD position summary/title: PhD position SuperGPS-2 : Accurate positioning and time-transfer using virtual ultra-wideband radio signals
This research project aims to develop a robust and efficient terrestrial system for accurate positioning and time-transfer, using virtual ultra-wideband radio signals, which can serve as a backup and complement to GNSS (Global Navigation Satellite System) in environments with reduced GNSS availability. The virtual ultra-wideband approach allows for a limited demand for expensive radio frequency spectrum and time resources by using multiband signals, and through flexible signal design, straightforward implementation and integration with current and new generation telecommunications standards, such as 5G, are expected.
Deadline : March 31, 2023
(10) PhD Degree – Fully Funded
PhD position summary/title: PhD Position Process Safety Assessment and Management for Ammonia-Powered Ships
In this project, the PhD candidate is expected to develop a risk-based or resilience-based approach for designing safety measures for handling various internal or external disruptions. Safety concepts, including segregation, double barriers, leakage detection, leakage isolation, etc will be evaluated via the framework. The opportunity of implementing the Safe-by-Design approach in ammonia storage, transport, and bunkering on board will be explored. This helps to reduce reliance on add-on safety and procedural measures. Major accident scenarios such as ship collisions and groundings will also be studied. Furthermore, adapation and recovery capabilities in the disruptive scenarios of the Ammonia-fueled ships will also be studied.
Deadline : 31 March 2023
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(11) PhD Degree – Fully Funded
PhD position summary/title: PhD position in reliable deep reinforcement learning
Are you interested in machine learning for intelligent decision making? Would you like to overcome fundamental challenges and bridge the gap to physical agents like robots, autonomous cars or automated factories? Create new cutting edge neural network architectures to empirically solve theoretical problems in artificial intelligence? Think about broader implications and practical applications?
Deadline : March 31, 2023
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(12) 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 presents 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 : April 30, 2023
(13) PhD Degree – Fully Funded
PhD position summary/title: PhD Postion Photonic Circuits for Quantum Computer
We have an open PhD position at TU Delft in the exciting new area of a large-scale photonic circuits for quantum computer. While quantum computer based on spins in diamond connected with photonic circuits is promising for the scalability, their realization poses a host of new engineering challenges, which we strive to address!
Deadline : March 31st 2023
(14) PhD Degree – Fully Funded
PhD position summary/title: PhD Position Maintenance-Aware Multi-Level Control for Ammonia-Powered Ships
This PhD project focuses on integrated control strategy and maintenance policy design to assure reliable operation and high availability of ships powered by ammonia (NH3). Ammonia is one of the most promising hydrogen carriers and clean, alternative fuels for long-distance shipping and other maritime, or heavy-duty, applications. When produced from renewable power, ammonia could decarbonize shipping and thus help to achieve the goals of the Paris agreement to combat climate change.
Deadline : Open until filled
(15) PhD Degree – Fully Funded
PhD position summary/title: PhD Position Emission-Minimizing Operational Control for Sustainable Smart Ships
For the improvement of vessel and vessel fleet behaviour in view of environmental objectives you will take as basis the important role that digitization and communication technology will have to improve operational emission profiles of the future vessel fleet. With the advent of more accurate information, from a more diverse range of sources (onboard ships, as well on infrastructure), and ease of communication between different transport chain systems, it becomes important to consider what information is needed where, when, and at what level of accuracy. This needs to be considered from a general efficient navigation perspective, and especially with an integrated view on sustainability and operational emission profile optimization. This is important to address both for enhancement of navigation and planning systems onboard existing ships (‘digital retrofitting’), as well as when considering design choices for the next generation of (newly build) ships.
Deadline : Open until filled
(16) PhD Degree – Fully Funded
PhD position summary/title: PhD Position Software Restructuring
One line of research in this program is concerned with the formalization of the name binding rules in programming languages. To that end, the group has developed a theory of name resolution based on scope graphs, and applied it in the design and implementation of a meta-language for static semantics. In dynamic semantics, scope graphs provide a uniform model for memory at runtime and serve as the basis for intrinsically-typed definitional interpreters, enabling the automatic verification of type soundness.
Deadline : June 1, 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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