{"id":9886,"date":"2024-12-08T10:00:41","date_gmt":"2024-12-08T10:00:41","guid":{"rendered":"https:\/\/fellowshipbard.com\/?p=9886"},"modified":"2024-12-08T13:44:47","modified_gmt":"2024-12-08T13:44:47","slug":"18-fully-funded-phd-programs-at-delft-university-of-technology-netherlands","status":"publish","type":"post","link":"https:\/\/fellowshipbard.com\/18-fully-funded-phd-programs-at-delft-university-of-technology-netherlands\/","title":{"rendered":"18 Fully Funded PhD Programs at Delft University of Technology, Netherlands"},"content":{"rendered":"
Are you holding Master\u2019s 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.<\/span><\/p>\n 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\u2019s Online Application Portal.\u00a0<\/span><\/p>\n 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.<\/span><\/p>\n Apply now<\/strong><\/span><\/a><\/p>\n 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.<\/span><\/p>\n Apply now<\/strong><\/span><\/a><\/p>\n <\/p>\n Follow FellowshipBard for daily updates! <\/span><\/strong><\/span><\/p>\n Facebook<\/span><\/strong><\/a><\/span><\/p>\n Twitter<\/span><\/strong><\/a><\/span><\/p>\n Linkedin<\/span><\/strong><\/a><\/span><\/p>\n Telegram Channel<\/span><\/strong><\/span><\/a><\/span><\/p>\n 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.\u00a0<\/span><\/p>\n Apply now<\/strong><\/span><\/a><\/p>\n <\/p>\n The accelerating impacts of climate change pose significant threats to port infrastructure and operations as well as its critical hinterland connections, which form the backbone of global trade and logistics. Rising sea levels, increased storm intensity, and extreme weather events disrupt port operations, damage infrastructure, and hamper the efficient flow of goods, creating far-reaching economic and logistical challenges. Port-hinterland connections, essential for the efficient transfer of goods between ports and inland destinations, are especially vulnerable.<\/span><\/p>\n Apply now<\/strong><\/span><\/a><\/p>\n The 2022 energy crisis in Europe painfully illustrated that current electricity markets leave consumers exposed to extreme price risks. Even in a future electricity system free of fossil fuels, prolonged periods without wind and sun may lead to extreme electricity prices, which consumers are unable to hedge in current retail electricity markets. At the same time, capturing the value of consumer flexibility typically requires exposing them to short-term, volatile price signals, further contributing to their risk exposure.<\/span><\/p>\n Apply now<\/strong><\/span><\/a><\/p>\n <\/p>\n This PhD position is aimed at candidates with a Master\u2019s degree in data science, computer science, bioinformatics, biomedical engineering, or related fields, with a strong interest in machine learning (ML), computational modeling, and biomedical applications. The successful candidate will be based at the Department of Engineering Systems and Services (ESS) at the Delft University of Technology under the supervision of Sepinoud Azimi and Katerina Stankova.<\/span><\/p>\n Apply now<\/strong><\/span><\/a><\/p>\n <\/p>\n 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<\/span><\/p>\n Apply now<\/strong><\/span><\/a><\/p>\n 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.<\/span><\/p>\n Apply now<\/strong><\/span><\/a><\/p>\n <\/p>\n Future green steels will be manufactured using an increased amount of scrap, likely of lower quality and containing higher concentrations of residual elements. This will modify the chemical composition and thus the response of the material to thermal cycles, such as imposed by welding. There is therefore a need to identify what amount of residual elements can be tolerated in the weld, particularly in the HAZ of future clean steels. The ultimate goal of this project is to create steels with improved weldability, toughness, and strength, even when recycled from lower-quality scrap.\u00a0<\/span><\/p>\n Apply now<\/strong><\/span><\/a><\/p>\n Currently, automotive radars use fully digital receiver architectures with up to 16 antennas. While increasing the number of antennas enhances angular resolution, fully digital radars with large arrays suffer from high power consumption. This project will explore emerging low-power radar designs and develop signal processing techniques optimized for these architectures.<\/span><\/p>\n Apply now<\/strong><\/span><\/a><\/p>\n In response to this challenge, TU Delft recently launched a multi-disciplinary, interfaculty research program on Wind Assisted Ship Propulsion (WASP) focusing on three research themes: 1) Fluid dynamics, 2) Design and operation, and 3) Sustainable and societal impact. We are a young, international and diverse team within the Faculties of Aerospace and Mechanical Engineering. We approach problems in a horizontal \u201cteam spirit\u201d and continuously traverse boundaries between theory, simulations, and experiments. We strive for a co-creative and stimulating environment where you can develop further skills as a scientist, team member and teacher.\u00a0<\/span><\/p>\n Apply now<\/strong><\/span><\/a><\/p>\n1. Fully Funded PhD Position in Interaction between Macromolecules and Vesicles<\/strong><\/span><\/h1>\n
Summary of PhD Program:<\/strong><\/span><\/h2>\n
Application Deadline:<\/strong> 13 Dec 2024<\/span><\/span><\/h3>\n
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2. <\/strong><\/span>Fully Funded PhD Position in Reliable AI Accelerator Design<\/strong><\/span><\/h1>\n
Summary of PhD Program:<\/strong><\/span><\/h2>\n
Application Deadline:<\/strong> 15 Dec 2024<\/span><\/span><\/h3>\n
3. <\/strong><\/span>Fully Funded PhD Position in Analog In-Memory Brain-Inspired Edge Processors for Edge AI<\/strong><\/span><\/h1>\n
Summary of PhD Program:<\/strong><\/span><\/h2>\n
Application Deadline:<\/strong> 15 Dec 2024<\/span><\/span><\/h3>\n
4. <\/strong><\/span>Fully Funded PhD Position in Digital Twins for Enhancing Climate Resilience in Port and Hinterland Connections<\/strong><\/span><\/h1>\n
Summary of PhD Program:<\/strong><\/span><\/h2>\n
Application Deadline:<\/strong> 12 Dec 2024<\/span><\/span><\/h3>\n
Find Fully Funded PhD in UK<\/span><\/strong><\/span><\/a><\/h3>\n
5. <\/strong><\/span>Fully Funded PhD Position in Resilient Consumer-Centric Electricity Market Design Under Deep Decarbonization<\/strong><\/span><\/h1>\n
Summary of PhD Program:<\/strong><\/span><\/h2>\n
Application Deadline:<\/strong> 15 Dec 2024<\/span><\/span><\/h3>\n
6. <\/strong><\/span>Fully Funded PhD Position in AI-driven Nanoparticle Design for Drug Delivery<\/strong><\/span><\/h1>\n
Summary of PhD Program:<\/strong><\/span><\/h2>\n
Application Deadline:<\/strong> 15 Dec 2024<\/span><\/span><\/h3>\n
7. <\/strong><\/span>Fully Funded PhD Position in AI-driven Cybersecurity and Cybersafety<\/strong><\/span><\/h1>\n
Summary of PhD Program:<\/strong><\/span><\/h2>\n
Application Deadline:<\/strong> 15 Dec 2024<\/span><\/span><\/h3>\n
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Find Fully Funded PhD in USA<\/span><\/strong><\/span><\/a><\/h3>\n
8. <\/strong><\/span>Fully Funded PhD Position in Safe Learning for Interconnected Systems<\/strong><\/span><\/h1>\n
Summary of PhD Program:<\/strong><\/span><\/h2>\n
Application Deadline:<\/strong> 15 Dec 2024<\/span><\/span><\/h3>\n
9. <\/strong><\/span>Fully Funded PhD Position in Microstructural and Fracture Characterization of Welded Green Steels<\/strong><\/span><\/h1>\n
Summary of PhD Program:<\/strong><\/span><\/h2>\n
Application Deadline:<\/strong> 15 Jan 2025<\/span><\/span><\/h3>\n
Find Fully Funded PhD in Europe<\/span><\/strong><\/span><\/a><\/h3>\n
\n10. <\/strong><\/span>Fully Funded PhD Position in Signal Processing for Low-power Digital Radars<\/strong><\/span><\/h1>\nSummary of PhD Program:<\/strong><\/span><\/h2>\n
Application Deadline:<\/strong> 15 Jan 2025<\/span><\/span><\/h3>\n
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11. <\/strong><\/span>Fully Funded PhD Position in Scale-resolving Simulation of Wind-assisted Ships and Low-fidelity Model Optimization<\/strong><\/span><\/h1>\n
Summary of PhD Program:<\/strong><\/span><\/h2>\n
Application Deadline:<\/strong> 5 Jan 2025<\/span><\/span><\/h3>\n
Explore PhD Salary, Jobs, & Career Growth<\/span><\/strong><\/span><\/a><\/h3>\n
12. <\/strong><\/span>Fully Funded PhD Position in Propeller and Rudder Performance in Wind-assisted Ship Propulsion<\/strong><\/span><\/h1>\n