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19 Fully Funded PhD Programs at Delft University of Technology, Netherlands

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Are you holding Master’s degree and looking for fully funded PhD positions? Delft University of Technology, Netherlands invites online application for multiple funded PhD Programs / fully funded PhD positions in various research areas.

Candidates interested in fully funded PhD positions can check the details and may apply as soon as possible. Interested and eligible applicants may submit their online application for PhD programs via the University’s Online Application Portal. 

1. Fully Funded PhD Position in Artificial Physical Awareness Controller Synthesis

Summary of PhD Program:

This PhD project is conducted within the ERC Consolidator Grant project “ARCS” in which you will collaborate with an international team of researchers to develop a new paradigm in control theory: Artificial Physical Awareness (APA). APA requires that the onboard autopilot has accurate and up-to-date knowledge of the safe envelope of the robot under its control. In this PhD project, a new APA-enabled controller will be developed that can effectively and efficiently exploit information contained in computed time-varying stochastic safe envelopes of autonomous robots after sustaining failures.

Application Deadline: 29 October 2024

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2. Fully Funded PhD Position in Design of Bioinspired Grasper with Embodied Intelligence

Summary of PhD Program:

We are looking for an enthusiastic PhD candidate to develop design methodology and demonstrate the working principle of grasper with embodied intelligence for future factories. 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 supervise master thesis work).

Application Deadline: 30 October 2024

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3. Fully Funded PhD Position in Predictive Prognostics and Adaptive Load Control: An Integrated Approach to Wind Turbine Blade Longevity and Efficiency Optimisation

Summary of PhD Program:

IntelliWind is a Marie Sklodowska-Curie Doctoral Network funded by the Horizon Europe program. The project aims to train 16 highly motivated and exceptional PhD candidates. Its primary research objective is to reduce human involvement in decision-making and minimize the need for direct human interventions in operations and maintenance processes. This approach allows human resources to focus on more complex, better-planned, and efficient operations, leading to significant improvements in cost efficiency and reduced labor intensity in wind farm operations. The project will catalyze a shift in the skills and tasks required for wind power plant operations, moving from traditional engineering roles to the design, analysis, and interaction with automated machine algorithms.

Application Deadline: 31 October 2024

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4. Fully Funded PhD Position in Radiochemistry: Design, Synthesize, Characterize, and Fabricate a Novel Radionuclide Generator

Summary of PhD Program:

In this project you will work on the development of a 166Dy/166Ho generator by combining concepts from different fields including nanotechnology (synthesizing dysprosium-based nanomaterials) and radiochemistry (radiochemical separation to selectively extract Ho-166). In addition to creating the new generator you will assess whether the produced Ho-166 conforms to the European pharmacopeia standards for clinical use. The research will be highly multidisciplinary, including all aspects of designing, synthesizing, characterizing, and fabricating the novel radionuclide generator in close collaboration with industry leaders and university hospitals.

Application Deadline: 31 October 2024

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5. Fully Funded PhD Position in Cyanobacterial Engineered Living Materials for High Carbon Capture

Summary of PhD Program:

Global warming and climate change, driven by increasing atmospheric CO2 concentrations, are one of the key challenges of the 21st century. Despite the urgency of decarbonization efforts, economically sustainable solutions for the decrease of atmospheric CO2 are still lacking. With the increased awareness for sustainability, Engineered Living Materials (ELMs) – which integrate living systems to perform specific functions – present a promising opportunity to address these challenges through the combination of biology, materials science, and design. Among integrated living systems, cyanobacteria offer promising opportunities for the development of ELMs, specifically due to their mechanisms for carbon capture.

Application Deadline: 31st of October 2024

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6. Fully Funded PhD Position in Classification, Modelling and Parameterisation of Tall Wind Profiles

Summary of PhD Program:

This PhD will investigate how a combination of profile clustering and numerical modelling can be used to provide a robust wind speed profile accurate to 500m using parameters that can be relatively easily inferred from observations or available reanalyses. These can then be used to assess turbine 25+MW turbine loading conditions for design and performance calculations. The main activities of this project will be: i) clustering of wind profiles into a small number of key classes, ii) numerical modelling to assess the dependency of tall profiles on different parameters, and iii) development of a robust tall profile model based on a small number of key, easy to measure variables.

Application Deadline: 31 October 2024

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7. Fully Funded PhD Position in Aerodynamics and Aeroelasticity of Extra-Large Wind Turbines

Summary of PhD Program:

This PhD project is part of the NEXTgenT (NEXT generation of over 25MW offshore wind Turbine rotor design) MSCA Doctoral Networks Our goal is to train next generation of young engineers to understand technical and theoretical limits and challenge to design a next generation of over 25MW (25+MW) OWT rotor systems. This will be achieved by advancing the technologies, theories, numerical tools, and design methods. 

Application Deadline: 31 October 2024

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8. Fully Funded PhD Position in AI DeMoS Lab

Summary of PhD Program:

AI DeMoS Lab has a PhD position focused on investigating collective engagements with AI systems which are designed for public use (e.g., mortgage allocation systems, online proctoring systems, surveillance systems, among others). By using speculative design and related approaches, the project aims to broaden the engagement space with such AI systems and stimulate a societal debate on the role AI systems already play and should play in public life. 

Application Deadline: October 31st, 2024

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9. Fully Funded PhD Position in Co-creating sharing and repairing practices

Summary of PhD Program:

This fully funded, 4-year PhD position is part of the NWO funded project Sharepair, which is aimed at embedding sustainable sharing and repairing practices into daily urban life. The project approaches circular consumption through the lens of social practice theory, recognizing that the meanings, skills and material conditions that make up sharing and repairing practices are deeply intertwined with wider social, political, and institutional contexts. Despite their potential for realising circular economy ambitions, sharing and repairing of consumer goods such as electric appliances, furniture, and clothing remain marginal in Dutch society, with challenges in participation and scaling across diverse communities.

Application Deadline: 31st of October 2024

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10.
Fully Funded PhD Position in Turbulent Distortion Study for Interaction Noise Prediction

Summary of PhD Program:

The candidate will start with the numerical analysis, experimentally validated, of the distorted field created by the interaction of a rotor with a lifting surface. The study will start with the definition of the most interesting configuration with no flow for applications in VTOL, with special focus in transition and maneuvering configurations. A numerical high fidelity analysis will be carried out, concurrently combined to a stochastical analysis. The latter will be devoted to reproduce the real turbulence distortion field with a subset of aerodynamic flow invariants, describing different flow patterns and their stability. 

Application Deadline: 1 November 2024

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11. Fully Funded PhD Position in Data Assimilation for Scenario Forecasting of Urban Heat

Summary of PhD Program:

With advanced weather models we can forecast atmospheric circulation at smaller and smaller scales. High-resolution simulations of the urban air flows form the basis of so-called digital twins that support decision making. Digital twins simulate different atmospheric scenarios in a changing climate and urban landscape. By quantifying the uncertainties in these projections, digital twins support the planning of climate adaptation and mitigation in cities. Where should we plant trees? Should we opt for high-rise buildings or keep the buildings low? What can we do to mitigate urban heat islands and keep the city cool?

Application Deadline: 1 November 2024

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12. Fully Funded PhD Position in Acoustic Model for Interaction Noise based on Flow Distortion

Summary of PhD Program:

The candidate will start with extracting the turbulent characteristics of canonical distorted flow patterns generated by the interaction of a wing with a rotor. The study will start with the definition of the most interesting configurations for applications in VTOL, with special focus on transition and maneuvering configurations. The candidate will subsequently analyze how to embed the turbulent flow parameters into existing acoustic analogies (e.g. in the form of change of boundary conditions or inflow characteristics) in order to build an acoustic noise prediction tool. 

Application Deadline: 1 November 2024

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13. Fully Funded PhD Position in Physics-Based and Experimental Data-Driven Cardiovascular Disease Modeling

Summary of PhD Program:

In this project, you will address these challenges by developing robust methods for uncertainty quantification and propagation within virtual human twin models of cardiovascular disease. More specifically, you will develop a systematic framework to quantify the impact of inherent inter-sample and -subject variability associated with experimental tissue tests, the intrinsic uncertainty of in vitro and in vivo imaging techniques, and the effect of noisy experimental and clinical measurements on computational models of the diseased heart and aorta.

Application Deadline: 4 November 2024

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14. Fully Funded PhD Position in Effect of B on the Formation of Bainite and Martensite and Resulting Mechanical Properites in Steels

Summary of PhD Program:

Boron is an alloying element widely used to increase the hardenability of steels. However, it delays bainite formation, which may be a problem in the processing of many high performance steels. This PhD project aims understanding the effect of boron in the microstructure development of steels, and particularly on the kinetics and bainite formation. This requires to determine how boron interacts with the microstructure and evaluate if this interaction is due to segregation to defects such as grain boundaries or due to the formation of certain compounds. Such understanding will be achieved through dedicated experiments in which the the microstrucutre formation is investigated through high resolution techniques.

Application Deadline: 4 November 2024

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15. Fully Funded PhD Position in Modelling Fast Earth Deformation – Transient Mantle Rheology Responding to Ice Sheet Mass Changes

Summary of PhD Program:

The shrinking of large ice sheets currently leads to high uplift rates of the Earth’s surface in their vicinity because of fast viscous flow in the upper mantle. Studying these deformation process, known as glacial isostatic adjustment, provides a unique possibility to understand how the strength of the upper mantle changes over time, and in response to changes in loading. At the same time, there is an important feedback between surface uplift and stability of glaciers. Understanding of how the earth surface will uplift below glaciers may provide better predictions of the future of large ocean-terminating glaciers.

Application Deadline: 4 November 2024

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16. Fully Funded PhD Position in Extreme-scale Simulations of Forced Convective Turbulence over Complex Surfaces

Summary of PhD Program:

As the impact of global warming on extreme weather events, including droughts, heat waves, unhealthy pollution levels, as well as storms and extreme precipitation, are presenting themselves already, there is an increasing need to understand and predict extreme events as a result of global climate change. This is especially relevant for urban areas where most of the planet’s population now lives and where extreme events can be even more severe, both in intensity and in impact, e.g., urban heat island effects, dispersion of pollution, and flooding. 

Application Deadline: 4 November 2024

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17. Fully Funded PhD Position in Signal Processing for Low-power Digital Radars

Summary of PhD Program:

Signal processing with low-power digital radars is challenging due to the stringent waveform constraints imposed by low-power components. Additionally, these components often lead to severe hardware imperfections that perturb the measurements acquired at the radar receiver. To address these challenges, we seek a talented individual to develop signal processing techniques capable of effectively operating under both waveform constraints and hardware imperfections.

Application Deadline: 5 November 2024

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18. Fully Funded PhD Position in Full Wave Inversion Using Data-Driven Operators for GNSS-R Data

Summary of PhD Program:

The “GNSS-R Satellite Earth Observation (GLITTER)” project harnesses the power of GNSS-R (Global Navigation Satellite System-Reflectometry) for advanced Earth observation. This technique uses the reflections of GNSS signals off various surfaces—land, sea, and ice—to monitor environmental conditions. Our ambitious goal is to pioneer a new generation of experts capable of making significant advancements in this field through doctoral-level education and research. At the heart of GLITTER is the development of a synchronized constellation of Cubesats, offering a cost-effective yet powerful approach to Earth observation. This innovative system allows for enhanced resolution and data accuracy through advanced beamforming techniques. Essential to our methodology are ground-truth data and calibration methods derived from near-field radar technology, which will enable comprehensive research across all facets of GNSS-R technology. 

Application Deadline: 15 November 2024

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19. Fully Funded PhD Position in microwave design and simulation of spin-based quantum processing units

Summary of PhD Program:

The primary objective of this research program is to create a solid framework to understand the electromagnetic (EM) properties of spin qubits in solid-state systems to support the development of the next generation of Quantum Processing Unit (QPU). In terms of QPU design, the research focuses on the interaction between spin qubits and a superconducting resonator, aiming to explore optimal connectivity through the development of novel coupling architectures and to understand their decoherence and unwanted coupling mechanisms. Simultaneously, from the hardware perspective, the focus will be on the fabrication, and packaging of this Quantum Processing Unit (QPU) in alignment with the proposed architecture.

Application Deadline: 29th of October 2024

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