Are you a Master’s graduate looking for fully funded PhD opportunities? Explore the range of funded PhD programs available at the Delft University of Technology, Netherlands. Apply online now and kickstart your doctoral journey!
1. Fully Funded PhD Position in AI-driven Cybersecurity and Cybersafety
Summary of PhD Program:
Today, cyber threats are becoming more complex and widespread. Understanding and predicting user behavior is crucial for strengthening cybersecurity and cybersafety. Traditional methods of studying user interactions online often lack the detail and flexibility needed to keep up with these changing threats. With the latest advancements in AI, we can create sophisticated models that not only replicate human actions but also predict possible weaknesses and attack methods. By using AI to mimic user behaviors, we can develop advanced simulations that anticipate potential vulnerabilities, enabling proactive defense strategies. As AI systems become more integrated into technology and society, ensuring they are safe and secure is more important than ever.
Application Deadline: 15 Dec 2024
2. Fully Funded PhD Position in Smart Mapping of Module Function and Robustness to Facilitate Integration in Synthetic Cells
Summary of PhD Program:
One of the big challenges in building synthetic cells is integrating functional modules that have been build in isolation.Therefore you will develop and use a high-throughput method to (1) study how varying stoichiometry and concentrations of individual proteins in the module affect module function and robustness, as can happen during integration, using a regulatory module, as a test case. (2) use the set-up to help other research groups within the EVOLF consortium (see below) integrate the modules they have build. The setup combines microfluidics, light microscopy, and AI for real-time analysis, optimizing input concentrations on-the-fly. By mapping the effects of protein concentrations, the system will identify regimes of robustness and sensitivity.
Application Deadline: 22 Nov 2024
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3. Fully Funded PhD Position in Field Monitoring of Debris Accumulation at Hydraulic Structures
Summary of PhD Program:
This PhD aims to improve flood predictions of debris accumulation at hydraulic structures by integrating innovative field monitoring systems with advanced modelling techniques. By utilizing image processing and machine learning to monitor hydraulic and hydrological parameters (including debris accumulation) and integrating these insights with physical modelling, we will assess their impact on the performance of critical hydraulic (infra)structure during floods. This will lead to more accurate flood predictions and improved management strategies, ultimately enhancing our resilience to future floods.
Application Deadline: 30 Nov 2024
4. Fully Funded PhD Position in 3D Printing and Biological Testing of Bio-waste Derived Meta-materials
Summary of PhD Program:
The Department of Biomechanical Engineering (BME) at Delft University of Technology (TUDelft) invites applications for a fully-funded PhD position. We are inviting applications for a PhD candidate with expertise in 3D printing, computational modeling, and biological testing of bio-based materials. This research will focus on the fabrication and experimental testing of novel bio-waste derived materials, specifically targeting their application in sustainable and energy-efficient construction.
Application Deadline: 5 Dec 2024
5. Fully Funded PhD Position in Design, Modeling, and 3D Printing of Bio-based Meta-materials
Summary of PhD Program:
The Department of Biomechanical Engineering (BME) at Delft University of Technology (TUDelft) invites applications for a fully-funded PhD position on the EIC pathfinder project entitled “digital based bio-waste derived meta-PANels Towards A REvolutionary building Identity” (PANTAREI). The project explores the potential of bio-waste materials for energy-efficient, low-cost, and environmentally friendly construction solutions. The core research will focus on multi-scale modeling, digital prototyping, and validating advanced designs using additive manufacturing techniques.
Application Deadline: 5 Dec 2024
6. Fully Funded PhD Position in Reinforcement Learning Theory
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 use your skills in 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: 8 Dec 2024
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7. Fully Funded PhD Position in Safe Learning for Interconnected Systems
Summary of PhD Program:
Safe learning is one of the key research challenges in AI today. The lack of principled and practical SL algorithms prevents the use of AI in many critical application domains, especially those with strict quality-of-service criteria that operate under volatile and unforeseen conditions (e.g., the control of autonomous vehicles). The goal of these positions is to contribute to the development of the next generation of AI tools that are safe (i.e., respect system boundaries and operational requirements), robust against various sources of uncertainty, and prompt in adapting to environmental and mission changes.
Application Deadline: 15 Dec 2024
8. Fully Funded PhD Position in Investigate Single-Cell Biophysics in Early Metastasis
Summary of PhD Program:
Mac4Me (Macrophage Targets for Metastatic Treatment) is a pan-European Marie Skłodowska-Curie Doctoral Network (DC) with 18 PhD candidates aimed at understanding the specific tumour cell-immune host interactions at the metastatic site to identify new immune targets. Mac4Me will use animal-free organ-on-chip (OoC) systems to recapitulate early liver, bone and brain metastasis of cancer developing across our life, such as neuroblastoma, breast and prostate cancer. Data from these preclinical models will be integrated with real-world clinical data using AI approaches to identify new immune targets.
Application Deadline: 9 Dec 2024
9. Fully Funded PhD Position in Developing a Human-like Assistant Through Generative AI
Summary of PhD Program:
The current rise of generative AI holds great promise for creating human-like assistants, which may, in some cases, be indistinguishable from real humans. While this brings certain risks (such as deepfakes), it also offers opportunities. The goal of this PhD project is to develop an advanced human-like virtual assistant using generative AI, such as vision/reasoning language models. This virtual assistant should become a globally leading application, which demonstrates the potential of generative AI in education, healthcare, and entertainment.
Application Deadline: 1 Dec 2024
10. Fully Funded PhD Position in Biomaterial Super-resolution Microscopy for Improved Cell-instructive Surfaces
Summary of PhD Program:
The goal of this project is to reveal how cells organize at the nanoscale to explain their different cellular responses to varying 3D-printed biomaterial surfaces. Advances in imaging allow visualization of these processes with unprecedented resolution. You will now establish state-of-the-art live and super-resolution microscopy on the challenging interface of opaque biomaterials. By harnessing the versatility of metal 3D-printing and imaging various cell types with high spatial and temporal resolution 3D-printing you will elucidate the structure-function relationship between nanoscale mechanobiology and cellular behaviour.
Application Deadline: 9 Dec 2024
11. Fully Funded PhD Position in Resolving Structure-Function Relationship of Cytoskeletal Proteins in Mammalian Cells
Summary of PhD Program:
We, the Geertsema lab, are an experimental biophysics lab employing super-resolution imaging techniques to improve understanding of cellular structures at the nanometer scale. As a recently started research group, we offer an interactive, supportive and collegial environment. We perform multidisciplinary research where we combine techniques from biophysics, microscopy, cell biology, biochemistry and protein engineering. The Geertsema lab is embedded in the Imaging Physics Department of the TU Delft, which focusses on developing and implementing novel imaging technologies. The department features an inspiring, welcoming and pioneering environment for researchers that want to push the boundaries and implementation of current imaging systems.
Application Deadline: 22 Nov 2024
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12. Fully Funded PhD Position in Interaction between Macromolecules and Vesicles
Summary of PhD Program:
Artificial cells need to be able to grow and symmetrically divide. To do so, the membrane that forms the cell boundary needs to undergo a major deformation, while at the same time the content of the cell must be duplicated and divided. We will study if and how these two processes can mutually enhance each other. We will employ a combination of analytical modeling, molecular dynamics simulations and machine-learning techniques to find optimal conditions for an integrated system to grow and divide.
Application Deadline: 13 Dec 2024
13. Fully Funded PhD Position in Wearable Haptics for Extended Reality
Summary of PhD Program:
The Haptic Interface Technology Lab (HITLab) is an interdisciplinary research group led by Dr. Yasemin Vardar at the Human-Robot Interaction Section of the Cognitive Robotics Department of the Delft University of Technology. Our overarching goal is to understand how tactile information, including the skin’s mechanical deformation and thermal responses, translates into human perception and how this information can be effectively simulated in digital environments.
Application Deadline: 10 Dec 2024
14. 02 Fully Funded PhD Position in Ethics and Philosophy of the Synthetic Cell
Summary of PhD Program:
The development of a synthetic cell will produce groundbreaking knowledge on our understanding of life, which may lead to promising new applications, but may also give rise to novel risks. Therefore, this knowledge should be produced in a responsible way. This project aims to align the development of the synthetic cell with relevant societal values, such as safety and accountability.
Application Deadline: 5 Jan 2025
15. Fully Funded PhD Position in Analog In-Memory Brain-Inspired Edge Processors for Edge AI
Summary of PhD Program:
Deploying AI on resource-constrained platforms such as wearable and implantable devices requires the development of new energy-efficient computing engines, which make use of both new computing paradigms and new device technologies. The Computer Engineering (CE) section of the Quantum & Computer Engineering (QCE) department is looking for a highly-motivated PhD candidate who wants to work on design activities of Analog in-memory brain-inspired AI accelerators.
Application Deadline: 15 Dec 2024
16. Fully Funded PhD Position in Reliable AI Accelerator Design
Summary of PhD Program:
Various emerging device technologies and computing paradigms are being investigated for energy-efficient artificial intelligence (AI) applications at the edge. Some examples are RRAM, FeFET and STT-MRAM-based Computation-in-Memory (CIM) accelerators. However, these new technologies and computing paradigms introduce new challenges in terms of reliability. For instance, non-idealities such as variability, drift, read/write disturb may cause computational inaccuracy. Ensuring reliable computation in memory using emerging devices for edge AI is of great importance.
Application Deadline: 15 Dec 2024
