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 Finite Geometry and Ramsey Theory
Summary of PhD Program:
You will be working under the supervision of Anurag Bishnoi. The project focusses on the interdisciplinary field of finite geometry, which lies at the crossroads of geometry and discrete mathematics. Some of the recent breakthroughs in Ramsey theory have utilized finite geometry extensively. The primary objective of this project is to establish deeper connections between these two disciplines while developing novel techniques. These techniques can broadly be classified as probabilistic, algebraic, and geometric techniques.
Application Deadline: 15 September 2023
2. Fully Funded PhD Position in nuclear micro high-temperature gas-cooled reactor
Summary of PhD Program:
Nuclear energy is gaining momentum worldwide as it can contribute to CO2 free electricity and heat production. Almost all reactors under construction world-wide are large Pressurized Water-cooled Reactors (PWRs) of generation III. However, within nuclear energy R&D, the focus shifts to Small Modular Reactors or even Micro Reactors (few tens of Megawatt of power) with enhanced safety characteristics and improved flexibility, both in construction and operation. TU Delft worked on micro reactors in the past in the framework of the graphite-moderated and helium-cooled U-battery project and has started a new HTR research line two years ago.
Application Deadline: 15-09-2023
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3. Fully Funded PhD Position in AI for Managing Large Fleets of Electrical Vehicles
Summary of PhD Program:
The rapid transformation to electric driving presents grid operators with serious challenges. To secure the transition to e-mobility, grid stability and reliability are crucial. This is why Delft AI Energy Lab and the Austrian Institute of Technology (AIT) have joined forces in the ‘AI research in energy system planning and operations’ programme. As a PhD student, you will get the unique opportunity to conduct research and develop novel AI-based algorithms geared to EV charging schedules for energy systems at Austria’s leading research organisation. Would you like to combine academic and industrial research?
Application Deadline: 15 September 2023
4. Fully Funded PhD Position in AI-based algorithms for Flexible Energy Systems
Summary of PhD Program:
In your research, you will implement your research within the interaction of the actors in the energy system which may vary largely, grid stability measured in seconds, and the integration of renewables. You will research and gain in-depth understanding of the latest machine learning techniques and modify them to tackle -integration-related challenges, helping drive smarter grid operation and planning. You will also build verification test beds. In this role, you will have the opportunity to develop your own research line and work with major grid operators as well as leading energy producers. Twice a year, you will join us in Delft for courses and training, as well as interaction with your fellow-researchers at Delft AI Energy Lab.
Application Deadline: 15 September 2023
5. Fully Funded PhD Position in Inclusive Research and Innovation in STEM
Summary of PhD Program:
You will help to identify STEM research and innovation systematically addressing the diversity of human beings in the broad sense, i.e. gender, age, socio-economic background, sexual orientation etc. as well as intersectionality. In particular, you will use an interdisciplinary approach bridging STEM and Social Sciences and Humanities (SSH) to investigate how the research questions, methodologies, reporting and innovation activities as well as collaboration between scholars and relevant stakeholders have to change like to accommodate IRI in STEM.
Application Deadline: 16 September 2023
6. Fully Funded PhD Position in Energy-efficient Computation-In-Memory applications
Summary of PhD Program:
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.
Application Deadline: September 30, 2023
7. Fully Funded PhD Position in SuperGPS-2
Summary of PhD Program:
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.
Application Deadline: September 30, 2023
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8. Fully Funded PhD Position in semiconductor qubit modelling
Summary of PhD Program:
We have open PhD positions at Qutech/TU Delft in the exciting field of Semiconductor Qubit Modelling, aiming to address the challenges faced by quantum computing in practical implementation. We offer opportunities in the following areas: Semiconductor spin properties: This involves the microscopic modelling of state-of-the-art spin qubit systems using analytical methods and numerical simulations. Understanding the variability of semiconductor qubits due to the host material is crucial for designing architectures. Students will collaborate closely with Qutech experimentalists and material developers on campus.
Application Deadline: Open until filled
9. Fully Funded PhD Position in Tissue-mimicking biopolymer networks based on recombinant structural proteins
Summary of PhD Program:
Biomaterials are widely used as scaffolds for cell culture in regenerative medicine, organ-on-chip human disease models, and cell-based meat production. However, they are currently mostly based on structural proteins sourced from animal tissues. Animal-derived products are unsustainable and raise ethical, cultural and safety concerns. Moreover, natural proteins are difficult to customize. The goal of this project is to develop protein-based biomaterials that are based on recombinant structural proteins produced by yeast cells. We thus aim to achieve sustainable production of customizable structural proteins to be used as building blocks for advanced biomaterials capable of guiding cell functions by emulating the extracellular matrix of tissues. To reach this goal, we have formed a unique multidisciplinary team.
Application Deadline: Open until filled
10. Fully Funded PhD Position in Sediment and Vegetation Build Coastal Dune Landscapes
Summary of PhD Program:
The PhD candidate will use the living lab that is provided by the Zandmotor along the Delfland coast for fieldwork and monitoring (incl. developing new monitoring approaches). The Zandmotor location provides a unique building with nature approach to coastal dune landscapes and understanding its development can contribute to the scalability of Building with Nature engineering concepts. Fieldwork will be complemented by dedicated modelling studies to predict the behaviour of coastal landscapes (foreshore, beach, dunes) and understand the scalability of these concepts.
Application Deadline: 31 August 2023
11. Fully Funded PhD Position in Digital Twin for Green Shipping
Summary of PhD Program:
The Digital Twin for Green Shipping (DT4GS) is a Horizon Europe project with over 20 industry and university partners aimed at delivering an “Open Digital Twin Framework” for shipping companies and waterborne industry actors to tap into new opportunities made available through the use of Digital Twins (DTs). DT4GS will enable shipping stakeholders to embrace DT innovations to support smart green shipping in the upgrade of existing ships and new vessels. DT4GS will cover the full ship lifecycle. Applications will focus on shipping companies but will also provide decarbonisation decision-support system for shipyards, equipment manufacturers, port authorities and operators, river commissions, classification societies, energy companies and transport/corridor infrastructure companies.
Application Deadline: 31 August 2023
12. Fully Funded PhD Position in Development of Metasurface Components for Snapshot Spectro-polarimetry
Summary of PhD Program:
Metasurface technology is an exciting and growing field of optics with a large amount of applications. Those metasurface components are made of nanostructured material made such as anisotropic nanorods. With the appropriate design, a precise control and definition of the phase and polarization of a transmitted beam are achieved, improving the performances of various applications. For space instrumentation a metasurface component could be used to achieve both spectral and polarization separation leading to a more compact and robust instrument design.
Application Deadline: 31 August 2023
13. Fully Funded PhD Position in Atomistic Model for Oxidation of Alloyed Steels during Annealing
Summary of PhD Program:
Oxidation modeling is normally performed at macroscopic scales based on diffusion theories. Predictive models have been developed in the recent past to investigate the kinetics of wüstite layer formation on pure iron for a wide range of oxygen partial pressures and to probe the effect of gas composition on the kinetics of oxidation. Experimental tools (e.g., X-ray diffraction, scanning electron microscopy with energy dispersive spectroscopy, etc) can be employed to study the oxidation behavior on materials e.g., Fe and Ni-based alloys. However, most of the experimental techniques are primarily restricted to macroscopic scale and hence lack atomistic insights into interaction between oxygen atoms and alloy elements and the interfacial oxidation reaction process.
Application Deadline: 31 August 2023
14. Fully Funded PhD Position in Optimal Control of Multi-function Radar Tasks
Summary of PhD Program:
Radar is still an unrivaled sensor in air traffic control, navigation, military applications, and environmental monitoring, like weather and sea surface. Modern phased array radar systems have the ability to adapt the direction and shape of their beams, and change their waveforms almost instantaneously within a wide range of possibilities.This has lead to the rise of multi-function radar (MFR) which can execute a large range of sensing tasks seemingly in parallel. To a large degree the control of these tasks, such that the radar performance fully satisfies the user, is still an open problem.
Application Deadline: 31 August 2023
15. Fully Funded PhD Position in Self-Healing Structural Battery Composites for Aerospace Applications
Summary of PhD Program:
The emerging field of Structural Batteries Composites (SBC) aims at developing multifunctional composites structures that can support mechanical forces during operation and simultaneously act as electrochemical energy storage. This new class of materials exploits the dual mechanical and electrochemical properties of carbon fibers (CF) used in aerospace composites, together with a solid-state electrolyte that acts as a binding matrix. The aim is to eventually extend the range of battery-powered airborne vehicles (e.g., drones) and provide alternative means to store electrical energy in an airplane. You will team up with a postdoc to work on experimental and modeling aspects of a new class of SBC that utilizes self-healing solid electrolytes.
Application Deadline: 1 September 2023
16. Fully Funded PhD Position in Brain Dynamics of the Migraine Brain
Summary of PhD Program:
To better understand how the brain works, we need to understand how each part of the brain interacts with other parts, and how information from inside or outside the body is processed. When something goes wrong within these processes, it can lead to neurological disorders, such as migraine. Migraine is a common episodic brain disease. A migraine attack can occur at any time and therefore often has a huge impact. The susceptibility to an attack differs per person and per attack and is determined by the so-called ‘migraine threshold’.
Application Deadline: Open until filled
17. Fully Funded PhD Position in Artificial Intelligence for Onboard Spacecraft Payload Data Processing
Summary of PhD Program:
Artificial Intelligence (AI) techniques demonstrated high potentials for several computer-vision and time-series problems. Because of that, numerous studies and technology demonstrator missions have been exploring the use of AI onboard spacecraft to process payload data and extract actional information to enable novel smart space missions.
Application Deadline: 8 September 2023
18. Fully Funded PhD Position in Unravelling the Physics Controlling the Atlantic Meridional Overturning Circulation
Summary of PhD Program:
The Atlantic Meridional Overturning Circulation (AMOC) transports vast amounts of heat to high latitudes, and is largely responsible for Western Europe’s relatively mild climate. Climate models project the AMOC will weaken substantially over the 21st century, which impacts weather, climate, sea level and the oceanic carbon cycle. However, ground-breaking new observations have revealed the limited skills of these climate models in representing key AMOC features, and the underlying lack of in-depth understanding of its physical controls.
Application Deadline: 11 September 2023
19. Fully Funded PhD Position in Testing for Configuration as Code
Summary of PhD Program:
Developing high-quality software is a complex task, and software engineering techniques play a crucial role in improving software quality. With the rising popularity of microservices, serverless architectures, and containerized applications, the complexity of creating and maintaining applications increased due to the heterogeneousity characteristic of the ecosystem. In such environment to achieve a well-functioning system, it is essential to ensure the resilience and reliability of individual components.
