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23 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 Multi-Sensor Multi-modal Machine Learning for Social & Affective Computing

Summary of PhD Program:

Enabling machines to interpret social behaviour in real life is a major frontier of Modern Artificial Intelligence (AI). The first step in developing socially intelligent systems that can help people to improve their social lives involves developing robust machine perception models. Unfortunately, there is almost no attention on developing systems to interpret behavior at high fidelity in a privacy preserving way. What could be inferred about linguistic aspects of a conversation when only non-verbal behavior is appropriate to capture at test time? One solution is to exploit high fidelity data that includes high quality audio and verbal content analysis at training time whilst using multimodal privacy preserving signals at test time. 

Application Deadline: June 30, 2024

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2. Fully Funded PhD Position in Durability Assessment of Fully Bio-Based Fibre-Reinforced Composites for Circular Wind Turbine Blades

Summary of PhD Program:

The ever-increasing effects of climate change and the imposition of environmental regulations to reduce CO2 emissions encourage the use of environmentally friendly materials in engineering structures. Wind turbine blades currently face the challenge of recyclability as they are typically made from conventional glass fibre-reinforced epoxy composites. The current end-of-life treatment of wind turbine blades is approximately 50% incineration, whereas the other half is used as landfill. To solve this, using fully bio-based recyclable FRP composites (made of high performance natural fibre reinforced with biobased resins) to replace currently used glass fibre reinforced epoxy can significantly reduce the global carbon footprint. 

Application Deadline: 30 June 2024

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3. Fully Funded PhD Position in Developing a Digital Twin for Soil Ecosystem Services in Amsterdam

Summary of PhD Program:

The ambition of this project is to create a ‘digital twin’ of the ecosystem services of the urban soil/subsoil in Amsterdam. Ecosystem services include: storing water in the unsaturated zone; draining water via groundwater; sequestering carbon; filtering and breaking down contaminants in groundwater; providing a growth environment for soilorganisms and plant roots; providing carrying capacity for infrastructure; providing biological activity for biological soil improvement; storing and supplying heat and cold. The digital twin is a tool that guides development of new infrastructure and maintenance of old infrastructure.

Application Deadline: 1 July 2024

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4. Fully Funded PhD Position in Quantitative ultrasound imaging inside and behind bone

Summary of PhD Program:

Our main goal is to unlock ultrasound imaging inside organs that are still inaccessible to existing clinical ultrasound scanners, in particular bones and the adult human brain. Our ambition is to develop operator-independent approaches that generate accurate anatomical volumetric images and quantitative biomarkers, in particular for the characterization of tissue composition or microstructure and blood flow quantification. We recently unlocked 2D ultrasound imaging inside human long bones (https://doi.org/10.1007/978-3-030-91979-5_10) and started the translation of our approaches to transcranial ultrasound (https://doi.org/10.1109/TUFFC.2022.3148121).

Application Deadline: 01 July 2024

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5. Fully Funded PhD Position in Obstacle-Resolving Simulations of Urban Flows

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.

Thanks to the continuous increase of computing power and progress in the development of efficient numerical methods, highly-resolved simulations of the flow in the local microclimates are becoming feasible. This will enable us to improving climate models that can help assessing the effectiveness of climate mitigation and adaptation strategies. In this position, you will work on the forefront of this topic, in a team with long-standing expertise in highly-resolved numerical simulations, wall-bounded turbulence, and atmospheric dynamics.

Application Deadline: 1 July 2024

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6. Fully Funded PhD Position in Fully Wind Propelled Vessels

Summary of PhD Program:

The Four Quadrant Sailing Ship (4Q2S) project is a TU-Delft disbursed feasibility study investigating promising concepts to propel a ship entirely by wind at any course. Traditional concepts fail at least at sailing in the head quartering sector(s), making these historically proven concepts inadequate for modern worldwide logistics. Furthermore, traditional rigs are too labour-intense to compete with the fully mechanical propulsion concepts as nowadays applied in shipping. Even (partly) mechanised contemporary Wind Assisted Ship Propulsion (wasp) concepts require an independent back-up propulsion system when the wind is blowing from the forward quarter(s).

Application Deadline: 1 July 2024

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7. Fully Funded PhD Position in Distributed & Adaptive radar for Drone Monitoring

Summary of PhD Program:

The goal of this project is to work towards transitioning radar from a conventional stand-alone sensor to an intelligent and spatially distributed network of cooperative nodes. The spatially distributed aspect will provide information from many partial viewpoints to reconstruct more detailed 3D signatures of the observed scenarios. The intelligent aspect will enable the radar to adapt its parameters and processing to the changes in objects’ behavior and environment, like in a sort of “chess game”. Hence, the intended scientific breakthrough is to formulate, implement, and validate the ‘distributed radar brain’ needed to establish and support this new sensing approach, combining spatially-distributed with adaptive capabilities in radar classification.

Application Deadline: July 1, 2024

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8. Fully Funded PhD Position in High-Fidelity Modelling of Intensified Hydrogen Production from Biomass

Summary of PhD Program:

Anthropogenic activities have broken the natural carbon cycle, and it is becoming urgent to find alternative, more sustainable routes to energy conversion. Hydrogen is a very versatile energy carrier, typically used as an intermediate before being further valorized via subsequent catalytic approaches and intensified reactor technologies. Production of hydrogen from thermochemical processes involving biomass holds great promise to help with the energy transition from fossil fuels.

Application Deadline: 3 July 2024

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9. Fully Funded PhD Position in Sequential Decision Making

Summary of PhD Program:

We are looking for a motivated candidate to work on the topics of theoretical machine learning, specifically in the domain of sequential decision making, which includes bandit problems and theoretical reinforcement learning. The primary objective of this project is to analyze and design learning algorithms and provide formal guarantees regarding their performance. To achieve this, you will need to apply advanced mathematical and statistical techniques. The project is situated in the context of efficient online learning, with a focus on scaling with model complexity and function approximation.

Application Deadline: July 6, 2024

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10.
Fully Funded PhD Position in Design of Emerging Neuromorphic Architectures Based on the Human Neocortex

Summary of PhD Program:

The field of neuromorphic engineering aims at replicating the brain’s key organizing principles in custom silicon toward order-of-magnitude efficiency improvements compared to current processor architectures. Based on this promise, neuromorphic engineering is now included in worldwide research roadmaps, has seen a x10 increase in yearly research output over the last decade, and fuels interest from large industrial players as well as a flourishing landscape of new startups. However, the field has not yet matured and still misses an actionable framework to deliver on its promises [1].

In this PhD project, you will directly contribute to tackling this challenge by taking inspiration from key neuroscience insight. To do so, you will look into the brain’s computational primitives at an abstraction level that is higher than individual neurons and synapses, one prominent example of which are the cortical minicolumns [2,3]. 

Application Deadline: Open until filled

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11. Fully Funded PhD Position in Big Data Analytics and AI in Port Performance Optimization – Infrastructure Use

Summary of PhD Program:

As a PhD candidate in Infrastructure Use, you will play an important role in exploring the operational dimensions of port infrastructure through the lens of data availability and advanced AI models. The core objective of this position is to uncover added value for port applications at the operational level. Your focus will be on addressing diverse challenges, with a central emphasis on Port Nautical Safety. This involves the analysis of moving vessels, requiring the use of AIS and other sources of data, and translating this information into insightful assessments of trips and loads.

Application Deadline: 8 July 2024

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12. Fully Funded PhD Position in Big Data Analytics and AI in Port Performance Optimization – Infrastructure State

Summary of PhD Program:

As a PhD candidate in Infrastructure State, you will play an important role in exploring the strategic dimensions of port infrastructure through the lens of data availability and advanced AI models. The core objective of this position is to identify added value for port applications at the strategic level. You will tackle a range of complex problems, with a primary focus on port accessibility and dredging strategies. This entails a nuanced examination of how maintaining different bed levels can impact port performance, optimize dredging costs, integrate with tidal windows, and adhere to priority rules to achieve a desired service level.

Application Deadline: 8 July 2024

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13. Fully Funded PhD Position in Secure Data Sharing in Federated Edge Clouds

Summary of PhD Program:

NExTWORKx* is the strategic partnership between the Telecom and ICT service provider KPN and Delft University of Technology. NExTWORKx aims to develop new concepts & technology in telecommunication and artificial intelligence, to respond to new disruptive technologies and to continue the development of talent. NExTWORKx enters its second research phase with a focus on developing and applying concepts from network science to model the huge number of real-time interactions between software components and data sets and to enable monitoring and control. AI-based algorithms will be developed for monitoring information flows and smart contracts. A trusted layer for monitoring and control is crucial for every network and digital infrastructure individually, but also across critical infrastructures, data sharing and smart city platforms. NExTWORKx announces the hiring of 4 PhD students who will be mentored by both TUDelft and KPN staff.

Application Deadline: 14 July 2024

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14. Fully Funded PhD Position in Safe Use of AI in Telecommunication Networks

Summary of PhD Program:

Telecommunication networks are becoming highly programmable and automated. Network Functions (NFs) in software, for example for routing and access management, can be deployed by generic hardware. As a result of this virtualization, the supplier landscape for (software based) NFs becomes more diverse (lower barrier for entry) and innovative (software development cycle rather than hardware renewal). Challenge for telecommunication network operators is to both source innovative and cost-effective NFs and to integrate these NFs from multiple vendors into a secure and reliable overall network architecture. This challenge is also referred to as “Operating Disintegrated Networks (ODIN)”.

Application Deadline: 14 July 2024

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15. Fully Funded PhD Position in Resilient Cross-Domain Networks for Critical Infrastructure

Summary of PhD Program:

Each critical infrastructure consists of its physical elements, operated and controlled via management systems and procedures. These management systems and procedures are becoming increasingly automated. Moreover, critical infrastructures become increasingly dependent on telecommunication networks due to digitalization, while telecommunication networks are depending on an operational power grid.

Application Deadline: 14 July 2024

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16. Fully Funded PhD Position in Scientific Machine Learning and Surrogate Modeling for Cardiovascular Digital Twins

Summary of PhD Program:

A cardiovascular digital twin is a physics-based computer simulation that models an individual’s health and disease states to aid decision-making. These high-fidelity models are often computationally expensive, limiting their personalization and real-time clinical use. In this project, we aim to develop highly efficient data-driven surrogate models for parametrized partial differential equations, with application to computational cardiology.

In this project, you will combine advanced physics-based models of the human heart and vasculature with the latest breakthroughs in machine learning to develop scalable and robust surrogate models of cardiovascular digital twins. These surrogate models will be used to enhance personalized treatment planning and post-treatment monitoring for patients suffering from circulation overload disorders, specifically systemic hypertension, heart failure (with/without preserved ejection fraction), and hemodynamically complicated atrial septal defects.

Application Deadline: 15 July 2024

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17. Fully Funded PhD Position in Investigating the sedimentation of metallic fission particles in a molten salt nuclear reactor, an experimental and numerical study

Summary of PhD Program:

In a Molten Salt Reactor, solid fission particles tend to sediment on a surface, such as the reactor vessel and heat exchangers, deteriorating the properties of the structural materials in the reactor. In this unique project, the PhD student will study the sedimentation of these particles and its underlying mechanisms in high temperature molten salts. The approach is to develop an experimental facility, where parameters such as temperature, flow and materials can be changed and to extract data on the tendency of solid fission products to sediment under a range of conditions. The acquired data will then be used to validate own-developed numerical and physical models for sedimentation, so that a solid calculated estimate can be made in real cases and real situations. This PhD project is part of the recently granted EC project “ENDURANCE”, which is a follow-up project of SAMOFAR and SAMOSAFER, both projects focused on thorium-based molten salt reactors.

Application Deadline: July 16, 2024

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18. Fully Funded PhD Position in Process-Based Fluvial Models at (Sub)Reservoir Scale

Summary of PhD Program:

From freshwater to energy and raw materials, our entire society is built on resources from the subsurface whose distribution depends on how fluids circulate underground. To better manage those resources, we need to better predict fluid flow in the subsurface, and to better predict fluid flow, we need to better predict the physical properties of the rocks and sediments that steer it. Unfortunately, the sparsity and poor quality of subsurface data means that we only have a rough overview of what lies below the ground, while subsurface properties can change drastically even over short distances.

Application Deadline: 19 July 2024

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19. Fully Funded PhD Position in Trustworthy Recommender Systems

Summary of PhD Program:

Recommender systems are pivotal in shaping our online experiences, influencing the content we engage with, the products we purchase, and our social interactions. These systems, driven by machine learning, support a wide range of human decision-making processes across e-commerce, social platforms, entertainment, transportation networks, healthcare services, and cybersecurity.

While traditionally evaluated by their accuracy, there’s a growing recognition within the research community of the importance of broader evaluation metrics. Fairness, diversity, robustness, explainability, transparency, and privacy are now seen as essential pillars for the overall health and sustainability of these systems. Trustworthy recommender systems are those that not only provide accurate and relevant recommendations but also prioritize these principles to foster user trust and confidence.

Application Deadline: July 25, 2024

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20. Fully Funded PhD Position in Networks of Care: The Architecture of Future Healthcare Environments

Summary of PhD Program:

In a world increasingly driven by data, healthcare facilities are undergoing profound changes, embracing new technologies to reinvent how they deliver acute care and interact with other healthcare providers. This shift enables healthcare institutions to focus on their core competencies while delegating non-essential tasks to specialized entities. As wearables and sensor networks become more prevalent, the traditional model of hospitals as standalone care providers is evolving into a broader, interconnected network that integrates personal wearables, smart home systems, and other healthcare technologies.

Application Deadline: June 26, 2024

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21. Fully Funded PhD Position in Reducing Impact of CO2 Hydrates on Injectivity Decline

Summary of PhD Program:

The main goal of the research is to quantify the impact of hydrate formation on injectivity of CO2 injection well and to develop chemical-based solutions to either inhibit the formation of hydrates (preventive methods) or to remediate the injectivity once formation of the hydrate led to injectivity decline (mitigation methods). The focus is at testing the identified potential mitigation and prevention solutions including injection of chemicals to dissociate already-formed CO2 hydrates. The experimental program will be conducted in close collaboration between TU Delft and JIP scientists to align the experiments and research objectives of JIP participants.

Application Deadline: 28 June 2024

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22. Fully Funded PhD Position in Particle Free Contactless Wafer Handling

Summary of PhD Program:

In this project you will study and develop this new concept to be used in an innovative, new, contactless end-effector for a wafer handling SCARA robot. Additional challenges are to add the thermal conditioning of the wafer and the pre-alignment of the wafer to the features of this end-effector. Key steps in this research are the understanding and optimization of the air flow in the thin lubricating film between system and substrate to generate the required viscous traction on the substrate and thus control its position, while at the same time controlling the viscous heat loss.

Application Deadline: 30 June 2024

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23. Fully Funded PhD Position in Neuromorphic Flight Control and Obstacle Avoidance for Autonomous Drones

Summary of PhD Program:

Within the project, a PhD position is now available on “Neuromorphic Flight Control and Obstacle Avoidance for Autonomous Drones”. The topic of the PhD is to develop neuromorphic attitude estimation and control, ego-motion control, and finally obstacle avoidance capabilities. The research will involve developing neuromorphic learning setups for learning, e.g. first for how to control attitude and ego-motion, with all required elements instilled in a spiking neural network. We strive for developing a self-supervised learning approach, so that robots can learn these skills in very little training time. Moreover, we intend to analyze the trained neural networks in order to unveil the exploited strategies and mechanisms.

Application Deadline: 25 June 2024

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