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55 PhD Degree-Fully Funded at Delft University of Technology (TU Delft), Netherlands

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Delft University of Technology (TU Delft), Netherlands invites online Application for number of  Fully Funded PhD Degree at various Departments. We are providing a list of Fully Funded PhD Programs available at Delft University of Technology (TU Delft), Netherlands.

Eligible candidate may Apply as soon as possible.

 

(01) PhD Degree – Fully Funded

PhD position summary/title: PhD Position Spread in Networks

Epidemic processes widely apply to biological and computer network viruses, to cascading failures in power grids, to the spread of news, rumour or emotions in a social network, to transactions in banking networks and to the processing of functions and movements in the human brain. An epidemic process spreads over an underlying network topology or contact graph, that is generally changing over time. Standard models used so far are mostly based on Markovian processes and mean-field approximations. As the recent panic caused by Credit Suisse and Silicon Valley Bank throughout the global banking system has shown, dramatic improvements in modelling spread in networks is crucial to better understand and respond to such crises. As a PhD student at TU Delft, you will conduct research and develop non-Markovian models from the viewpoint of Network Science and geared to predicting and preventing spread in networks.

Deadline : April 24, 2024 

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(02) PhD Degree – Fully Funded

PhD position summary/title: PhD Positions More Reliable Electron Imaging for Semiconductor Industry

There is a growing demand for smaller and more powerful computer chips. A major challenge to meet this demand is that when components are extremely small, it is hard to make them visible and inspect with light. By using electrons instead of light, the highest possible resolution can be achieved for visualising semiconductor components. Inspection with electrons offers a solution, but the technique still has major, fundamental shortcomings.

Deadline : Open until filled

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(03) PhD Degree – Fully Funded

PhD position summary/title: PhD Position Quantum Data Management

We offer PhD positions on the following two topics:

  1. Data Management using Quantum Computers:

Objective: Research and develop theoretical foundations for applying quantum computing to classical data management problems. Design and prototype innovative software solutions.

Candidate Profile: We seek a proactive, inventive candidate passionate about crafting new methodologies at the intersection of data management and quantum computing.

        2. Future Data Systems for Quantum Internet:

Objective: Address the unique challenges of distributed data management in the era of quantum internet.

Candidate Profile: Ideal for an independent, ambitious individual eager to explore the nexus of distributed database systems, quantum hardware, and quantum information.

Work Environment:

Deadline : March 15, 2024

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(04) PhD Degree – Fully Funded

PhD position summary/title: PhD Position 3-dimensional Ptychography at Extreme Ultra-Violet (EUV) Wavelength

In this PhD project, the research focus is on developing novel methods for ptychographic diffractive imaging. This includes the design of a measurement scheme in reflection geometry that incorporates proper diversities. The candidate will also explore integrating various 3D Maxwell solvers into the reconstruction algorithm by leveraging the power of automatic differentiation as recently introduced in ptychographic phase retrieval.

Deadline : 3 March 2024

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(05) PhD Degree – Fully Funded

PhD position summary/title: PhD Position Advancing Multimodal and Automated Urban Logistics through Data Science and Optimization

In this PhD project, we focus on optimizing, piloting, and assessing, logistical innovations that support radical policies/measures (e.g., infrastructural interventions, design of novel services, and emerging technologies in the current urban transport landscape) aimed at meeting climate objectives in Amsterdam. Through careful analysis of pilot impacts in a digital twin environment, we aim to develop methods to scale up these interventions and policies that can be transferred to the follower cities of the project. The focus of this PhD project is to efficiently design and operationalize multi-modal urban logistics including in-land waterways and micro-delivery services. In such integrated systems, we need to tackle uncertainties associated with electrification and automation of the fleet which provides exciting research opportunities.

Deadline : 3 March 2024

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(06) PhD Degree – Fully Funded

PhD position summary/title: PhD Position Enhance Multimodal Transport Sustainability with Mobility Credits

In this PhD project, we focus on piloting, assessing, and optimizing a citizen marketplace for mobility and logistics credits scheme, supporting equity and environment. The marketplace will enable travelers/logistics companies to organize part of their transportation needs making use of their highly connected environment that the digital twining allows between services and both passengers and freight transport demand whilst aiming for sustainable traveling. Very interesting work is being developed in the field of mobility credits in several projects. In MetaCCAZE we take advantage of the Living Lab Amsterdam to test a multimodal credits allocation solution, where decisions need to be taken on number of credits and how to allocate those to the different modes and departure times for passengers and freight. The key aspect is to build optimization models that represent both the supply and demand sides in an integrated fashion so that the solutions can yield stable equilibriums between supply and demand at a particular time period or across different time periods. Special focus will be given to fostering the usage of electric and automated transport modes which are increasingly being supplied in Amsterdam through mobility hubs and other innovations. The PhD project will entail several tasks such as: data collection on behavior, creation of algorithms, piloting and testing the marketplace in the Amsterdam Living Lab environment.

Deadline : 3 March 2024

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(07) PhD Degree – Fully Funded

PhD position summary/title: PhD Position Geotechnical Assessment of Foundations for Offshore Floating Windfarms

We are seeking a PhD candidate for the research project TAILWIND-Sustainable station keeping systems for floating wind. This is an EU project led by the Norwegian Geotechnical Institute and with academic and industry partners partners across Europe. You will join a large team of active researchers in the Delft Offshore Geotechnical research group who are developing real solutions for the offshore energy sector.

As part of an interdisciplinary team, you will work on geotechnical modelling of various novel foundation systems in the TU Delft geotechnical centrifuge. Specifically, you will perform physical experiments to consider the impact of cyclic and combined loading on the lifetime performance of these foundations in typical soil conditions encountered at offshore development sites. These experiments will inform numerical analyses performed by project partners.

Deadline : 3 March 2024

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(08) PhD Degree – Fully Funded

PhD position summary/title: PhD Position Predicting Compatibility of Network-dependent Enzymes

Many enzymes rely on intracellular protein networks to acquire essential cofactors or modifications. Due to the evolutionary diversification of such protein networks between species, it is not uncommon for network-dependent enzymes to show limited or no activity when expressed within cells of a foreign species. It is currently not possible to predict whether a given enzyme will show activity when expressed in a foreign species, and this presents a major limitation in bioengineering. For instance, biosynthesis of many valuable molecules, such as biofuels, relies on network-dependent enzymes.

In this PhD project, you will combine bioinformatics with experimental work to gain better understanding of the principles that render an enzyme functional or non-functional within a specific biological background. You will get to work with state-of-the-art AI tools for protein structure prediction, explore 3D structures and dynamical behaviour of proteins, build machine learning models, and verify your predictions in the wet lab.

Deadline : 3 March 2024 

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(09) PhD Degree – Fully Funded

PhD position summary/title: PhD on Magnetic Nanoparticle Synthesis (LiT STC)

We aim to advance the integration and joining of thermoplastics composites with an concerted effort of several PhDs and PDs contributing towards a new approach to fusion bonding, combining process and performance optimization by simulations of physical phenomena and cuncurrent experimental realization. This PhD vacancy will explore the synthesis of magnetic nanoparticles to be used as susceptors in novel scalable fusion bonding technologies.

Deadline : Open until filled

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(10) PhD Degree – Fully Funded

PhD position summary/title: PhD Position in Quantum Networks

PhD Positions are available on the following two topics:

  1. Quantum Network Architectures. The goal of this position is to design and analyze large-scale quantum network architectures using both analytical methods and/or numerical simulation – including new entirely concepts, abstractions, mathematical methods, algorithms, as well as laying the foundations for the performance analysis of quantum networks. The successful candidate enjoys working at the boundary of computer science, physics and mathematics, and is excited by the idea their work may in the long run contribute to building large-scale quantum networks in the real world.
  2. Quantum Network Systems. The goal of this position is the design and implementation of Quantum Network Systems concepts on state-of-the-art quantum hardware on a small network of quantum processors, as well as supporting simulators. The successful candidate enjoys experimenting with different approaches, and is excited by computer and network systems research that works towards bringing quantum network technologies into the real world together with a diverse team from quantum hardware, software engineering, and quantum information.

Deadline : Open until filled

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(11) PhD Degree – Fully Funded

PhD position summary/title: PhD Position on Understanding the Dynamics of Interdependent Infrastructure Systems

This PhD position focuses on the conceptualization and modeling of integrated infrastructure systems. We seek to answer questions such as: What are the unique properties and traits of infrastructure systems that contribute to their interdependence? How can we characterize the interactions between infrastructure systems? What are suitable (multi-)modeling approaches to model this interaction and what is the most relevant resolution and scale to capture these dynamics?

This PhD position in what can be termed “Complex Systems Analysis and Modelling” provides a unique opportunity to contribute to a critical and transformative field that emphasizes the resilience of our communities and vital infrastructure systems. As a part of our highly multidisciplinary team, your research will be instrumental in advancing our understanding of complex infrastructure systems dynamics and help develop new conceptual and modeling foundations for further impactful research.

Deadline : 28 February 2024

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(12) PhD Degree – Fully Funded

PhD position summary/title: PhD Position Design of Multi-state Hydrogen Storage Tanks

There are several storage options available for hydrogen, including liquid hydrogen (LH2), compressed hydrogen (CcH2), and gas hydrogen (GH2), each with their own advantages and disadvantages. An intelligent combination of these different storage states is expected to make it possible to use the exergy in the system, i.e. the difference in enthalpy between storage states, to reduce requirements on thermal isolation whilst increasing the dormancy time of the storage system. In this PhD research the candidate will explore a potential design methodolgy for multi-state hydrogen storage systems, that are centered around a central cryo-compressed hydrogen storage tanke. The work will be divide in three main tasks:

  1. Sizing of the multi-state hydrogen storage tanks.
  2. Performance optimisation of composite pressure vessels (CPV) operating at different states.
  3. Structural unification of multi-state storage tanks.

Deadline : 25 February 2024

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(13) PhD Degree – Fully Funded

PhD position summary/title: PhD Position Simulation of Scanning Electron Microscope (SEM) Images

Electron microscopy is at the heart of innovations and applications on the nanoscale in a wide range of sectors. The technology is, for instance, used in the semiconductor industry to observe engineered nanodevices, as well as for medical applications like cancer research. The major challenge of using a scanning electron microscope (SEM) is to correctly interpret the images created by the tool. The formation of these images depends on how the electron beam interacts with the composition and topology of the samples. Your challenge as a PhD student at TU Delft is to further develop and program models that will enable simulation of such SEM images. You will work closely with our partner ASML, leveraging fundamental research to improve nanoscale electronic device manufacturing.

Deadline : 22 February 2024

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(14) PhD Degree – Fully Funded

PhD position summary/title: PhD Position Autonomous VIsion tAcTile rObots foR Inspection of Laminated Composites (AVIATOR)

In your research, you will focus on generating impact damage for different size and curvature composite samples under various impactor shapes representing real-world conditions. You will develop finite element models that can simulate the development of the in-service meso/micro-structure damage and associated changes of appearance/texture of the structure. You will validate the models by extensive experiments and post-impact characterization of the samples using C-scan and CT scan to assess the damage morphology. You will work in close collaboration with PhD2, PhD3, and our industrial partners, NLR, Mainblades, Gelsight, Space53, to exploit and increase the technology readiness level by validating in the lab and relevant environments, which can be demonstrated in the relevant environment for KLM, NLR and other interested partners.

Deadline : 20 February 2024

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(15) PhD Degree – Fully Funded

PhD position summary/title: PhD in Co-envisioning Feminist Generative AI Futures

We invite applications for a fully-funded PhD position in Design, focusing on the co-envisioning of feminist generative AI futures with vulnerable and marginalized communities, to develop methods and approaches that engage them in the development of generative AI technologies. The successful candidate will carry out groundbreaking research aimed at fostering inclusivity, justice, and equality within the realm of generative artificial intelligence design and application.

The prevailing discourse in generative artificial intelligence (AI) has often overlooked the impact of such technology on minorities, marginalized, and vulnerable populations. For instance, LLMs or text-to-image models have proven to perpetuate bias and stereotypes due to the input data reflecting the ideas, values, and perspectives of traditionally wealthiest and more powerful groups. We challenge this approach, seeking to redefine the processes that determine the construction and application of generative AI. Unlike traditional approaches that prioritize technological advancements and profit, our research places a strong emphasis on feminist principles, participatory design, and design activism. This project aims to address power imbalances and promote inclusivity, justice, and equality in generative AI development and deployment. Positioned against a backdrop of increasing awareness of AI ethical implications, this project strives to contribute to a transformative shift in AI research, actively involving vulnerable and marginalized communities in shaping a more equitable socio-technical future. 

Deadline : 18 February 2024

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(16) PhD Degree – Fully Funded

PhD position summary/title: PhD in Detecting and Mitigating Bias in Social Interactions though Generative AI

This project applies the principles of data feminism to the realm of AI for social good, focusing on the awareness and mitigation of gender and racial bias in both online and offline social interactions. It aims to actively address issues such as biased, discriminatory, or offensive content in conversations and online spaces, seeking to counteract them through innovative solutions based on the potential of generative AI. By addressing the complexities of bias in various social settings, this research aims to reflect on the opportunity to develop generative AI-powered solutions that align with, and foster, principles of justice and inclusivity.

Deadline : 18 February 2024

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(17) PhD Degree – Fully Funded

PhD position summary/title: PhD positie Circulaire Geveleconomie transitie: Herinrichting van bestaande kringlopen

De Technische Universiteit Delft is op zoek naar een PhD kandidaat voor het onderwerp “Circulaire Geveleconomie Transitie”. Je zult werken aan een zeer maatschappelijk en wetenschappelijk relevant onderwerp, ingebed in een groot onderzoeksproject met academische en maatschappelijke partners.

Je zal bijdragen aan het ontwikkelen van modellen en methoden om de circulaire transitie van de gevelindustrie in Nederland mogelijk te maken. De activiteiten omvatten het inventariseren van de huidige praktijken van de gevelindustrie en gerelateerde waardeketens, het co-ontwerpen van circulaire processen en het monitoren van de implementatie.

Vanuit de TU Delft zal je parallel werken met een netwerk van bedrijven, brancheorganisaties en kennisinstituten. TU Delft zal zich richten op de materiële aspecten van de circulaire geveleconomie, waaronder het ontwerp, de engineering en de evaluatie van circulaire gevelsystemen, de ontwikkeling van reverse-logistieke ketens en industriële processen om de hoogwaardige terugwinning en herverwerking van materialen mogelijk te maken, technische en economische evaluatiemodellen om de marktopname en vraag naar circulaire en op prestaties gebaseerde alternatieven te bevorderen (bijvoorbeeld methodologieën voor levenscycluskostenanalyse (LCA), inclusief totale kosten en waarde van eigendom, en totale waarde van toegang).

Deadline : 18 februari 2024.

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(18) PhD Degree – Fully Funded

PhD position summary/title: PhD Position Computer Security and Applied Cryptography

The Cybersecurity (CYS) group at the Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) invites applications for full-time doctoral candidates in Computer Security and Applied Cryptography. Successful candidates will tackle exciting and challenging research problems in the area of private computing, privacy-enhancing technologies, secure multiparty computation and generally applied cryptography.  Examples include developing attacks against existing cryptosystems by exploiting their information leakage and building new secure and practical schemes. Successful candidates will have the opportunity to work closely with world-class researchers at TU Delft and our research collaborators in Europe and the US.

Deadline : February 15, 2024

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(19) PhD Degree – Fully Funded

PhD position summary/title: PhD Position Contextural Human Behavior Recognition and Generation with Large Behavior Model

This PhD project has the objective of creating an AI system that can comprehend and model human states and nonverbal behavior to realize empathetic interaction in the wild. We propose to build such systems using Computer Vision for interpreting input signals from humans’ body pose, hand pose, eye gaze, facial expression, and tones as input from the user, and also consider contextual information such as objects and scenes. For this purpose, we must develop nonverbal behavior and multimodal social interaction models as a holistic representation of interaction dynamics. We will explore pre-trained large language models in a visual setting, and investigate training with a self-collected human behavior dataset to construct a Large Contextural and Behavior Model (LCBM). We plan to use Computer Vision and text encoders to perceive the input from the human user and surrounding information as input to the LCBM. The output from LCBM will be used to generate the reaction of the AI agent as the natural response to the human user. Finally, we will deploy the proposed AI system to a real robot to evaluate its practicality together with our industrial partner Honda Research Institute in Japan. We believe that our proposed system will largely increase the use case of AI agents in real-world applications.

Deadline :  February 15, 2024

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(20) PhD Degree – Fully Funded

PhD position summary/title: PhD Position Experimental multiphase flows and machine-learning-based modelling

Turbulent multiphase flows encompass some of the most complex phenomena in fluid dynamics, and their analysis presents a great challenge for even state-of-the-art experimental and numerical methods. Machine learning and artificial intelligence, currently revolutionizing the fluid dynamics field, can be powerful tools in such cases. However, they remain limited to simple scenarios involving single-phase flows. Our primary goal is to tackle the challenge of data-driven low-dimensional modeling of multiphase flows. The focus will be on a specific scenario of friction drag reduction in liquid flows by gas injection with future applications in reducing CO2 emissions in green transportation.

In this PhD project, you will have the opportunity to focus on characterizing and analyzing flows using techniques like particle image velocimetry and pressure measurements and collect optimal data for developing ML advanced models for simplified flow representation, with eventual application to control strategies. Depending on your interests and background, the focus will be more on the experimental fluid dynamics or the machine learning side.

Deadline :  February 15, 2024

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(21) PhD Degree – Fully Funded

PhD position summary/title: PhD Position Floating Future at the Faculty of ME

How can we keep our densely populated country livable? The Netherlands faces an increasing demand for space for living, industry, nature, energy transition, food production, drinking water and flood safety. The water may however also offer an opportunity for creating safe space through large-scale floating developments. 

The interdisciplinary and applied research project ‘Floating Future: Scaling up floating structures as climate-proof space-creating solution enabling societal, industrial and ecological win-wins’, led by research institute MARIN, is funded by the Dutch Science Council (NWO) and consists of a broad research consortium of organizations. The overall objective is to develop knowledge about the societal acceptance, the required governance and legal arrangements, the ecological impacts and the technological challenges related to building large-scale floating islands.

Deadline : 15 February 2024

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(22) PhD Degree – Fully Funded

PhD position summary/title: PhD Position Large-eddy Simulation Modelling of Multi-mode Hydrogen Combustion with Magnetic Fields

ICHAruS is a MSCA Doctoral Network aimed at training 12 early-stage researchers to develop a set of innovative research activities in the field of active control of hydrogen combustion using electric and electromagnetic fields.

ICHAruS has been built to provide doctoral training in a collaborative partnership between academic and industry partners selected among the main European gas turbine and aeroengine manufacturers. The aim of this partnership is thus to understand the physical processes driving the interaction between hydrogen flames and electromagnetic fields at all flow scales so to permit actively assisted combustion and identify the key parameters that would allow for the design of an innovative, ultra-low NOx, silent and flashback-proof combustion devices for future gas turbines and aeroengines. The behavior of hydrogen flames under plasma discharge and electromagnetic conditioning offers the opportunity to strongly accelerate the path towards zero-carbon energy and transport sectors.

The project ICHAruS will recruit 12 Doctoral Candidates (DC) in eight prominent institutions forming the network, which are spread across five countries (Italy, France, Germany, Netherlands, United Kingdom). In addition, five Associate Partners (including gas turbine and aeroengine industries) will support training and secondments for the DCs.

Deadline : 15 February 2024

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(23) PhD Degree – Fully Funded

PhD position summary/title: PhD Position LES of a Hybrid Power Generation System for Ultra-low NOx Emissions with Water Injection

We are racing against time to find a clean, yet abundant, energy source able to arrest global warming. Hydrogen has all the characteristics to address this challenge: it can be produced cleanly from water; it is incredibly energetic; and more importantly, it is carbon-free. However, clean energy does not just imply low carbon, but also low levels of nitric oxides (NOx). While hydrogen-fuelled fuel cells (FCs) could be used as they do not emit NOx, their use in aviation as sole power generation system is very impractical due to their low power-to-weight ratio. As a solution, fuel cell and direct burning of hydrogen will be combined in TRIATHLON, where the water produced in the FC will be redirected to the combustion chamber and used as a mechanism to suppress NOx. The final objective of the project is to develop a hybrid power generation system that achieves high efficiency, power density, and ultra-low NOx emissions.

Deadline : 15th February 2024

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(24) PhD Degree – Fully Funded

PhD position summary/title: PhD Position Scalable Fabrication of Diamond Nanophotonics for Quantum Computers

We have an open PhD position at TU Delft in the exciting new area of scalable nanophotonic fabrication of diamonds with color centers for quantum computers.

Efficient realization of large-scale nanophotonic structures in diamond coupled with color centers will enable control and readout of a large number of integrated qubits with many interconnects with a small pitch, improving the performance and realizing a compact, scalable spin quantum computing system.

 Specifically, the candidate is expected to focus on the development of a thin diamond-on-insulator (DOI) substrate and reliable fabrication and testing methods for large-scale diamond nanophotonics with spin qubits on the developed DOI platform.  This will allow 1) a standard photonic-grade, diamond substrate (DOI) platform for diamond photonic integrated circuits, 2) the realization of large-scale photonic circuits using standard fabrication process flow,  3) improve fabrication accuracy, reliability, and production yield towards industrial scale, 4) efficient light-matter interface, qubit manipulation and 5) reliable optical interconnection for a practical, on-chip quantum computing system with large-scale integrated spin qubits in diamond. Challenges in the efficient realization of such a system are uniformly thinning and polishing a photonic-grade DOI substrate, optimal design of the photonic systems, controlling fabrication imperfection and yields of spin qubit activation, positioning, low-temperature testing of large-scale diamond photonic circuits with spin qubits.

Deadline : 15th February 2024.

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(25) PhD Degree – Fully Funded

PhD position summary/title: PhD Position Turning Waste to Resource through 3D Printed Hybrid Concrete Structures (3DHybCrete)

In this position, your key research objectives will be to:

(1) correlate the 3DP/Re-SHCC mix designs to printability (i.e. pumpability, extrudability, buildability), and correlate 3DP/Re-SHCC hardened properties (strength, ductility, anisotropy) to its mix design, printing parameters and interfaces between the layers of the circular material

(2) unravel the influence of structural interfaces and coupled hygro-mechanical processes between the 3DP/Re-SHCC shell and the recycled aggregatge concrete infill on the long-term structural behaviour and durability of the hybrid system.

This position is funded by TKI HTSM and supported by several industrial partners. The project is embedded in a cross-departmental collaboration within the faculty of Civil Engineering and Geosciences (CiTG), including the Department of Engineering Structures (ES) and the Department of Mechanics, Materials, Management and Design (3MD).

Deadline : 14 February 2024 

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(26) PhD Degree – Fully Funded

PhD position summary/title: Phd in spin-based platforms

We are looking for a passionate PhD candidate to join the Bosco group and be at the forefront of the theoretical research on solid-state quantum computation, focusing in particular on spin-based platforms. Our newly-established team is actively engaged to advancing the frontiers of both fundamental physics research and practical device development, bridging the gap between fascinating theory and real-world applications.

Deadline :  February, 11st 2024

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(27) PhD Degree – Fully Funded

PhD position summary/title: PhD in tailoring quantum hardware for efficient quantum computation

We are looking for a passionate candidate to join the Vandersypen lab and the Bosco group to be at the forefront of the research on spin qubits architectures. The Vandersypen group is a well-established presence in experimental quantum computing research, while the Bosco group is an active newly-established theoretical team in the field. By joining both groups simultaneously, you will experience the dynamic synergy of theory guiding practice and practice validating theory.

Deadline : February, 11st 2024

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(28) PhD Degree – Fully Funded

PhD position summary/title: PhD Position Enhanced Image Processing for Scattered Light Microscopy

We offer an exciting PhD position at TU Delft on the junction of computational imaging, optics, image processing, and biomedical research. Apply now and contribute to a better reconstruction of complex fiber networks in the brain and other biological tissues.

The position is in the group of Dr. Miriam Menzel, at the Department of Imaging Physics. The group works on scattered light microscopy to visualize complex fiber networks. Your task will be to analyze measured scattering signals from different biological tissues, develop enhanced image processing tools to improve the reconstruction of underlying fiber structures, and inform the development of new measurement protocols. Possible projects include the automated classification of fiber types in histopathological tissues, or the estimation of structural sizes based on scattering measurements with different wavelengths.

Deadline : 11 February 2024

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(29) PhD Degree – Fully Funded

PhD position summary/title: PhD Position Understanding Human Behaviour in the Security of the Internet of Things

How do people deal with “smart” devices that pop up everywhere? Billions of these sorts of computers are now present in our homes, on the streets and in companies. We still know little about how people interact with this new technology, especially in the field of security and privacy. How do smart devices influence our behaviour? What mental models do people form of what exactly these devices do? How can people make choices about security and privacy? We are looking for a motivated social scientist who would like to conduct doctoral research on these questions, in close collaboration with researchers from computer science and other disciplines.

The candidate will be part of an interdisciplinary team of over 20 scientists who jointly research the security of the Internet of Things and other topics. The team consists of people from different disciplines, countries, and backgrounds. Your project also offers the unique opportunity to collaborate with companies such as internet providers, with whom we, for example, conduct experiments (randomized controlled trials) and surveys in practice. We also work with government organizations that make policy and with parties such as the Consumers’ Association that test devices. The PhD students will have the opportunity to present their work at international conferences, to conduct research abroad and to collaborate with the world’s leading researchers working towards a secure digital future.

Deadline : 11 February 2024

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(30) PhD Degree – Fully Funded

PhD position summary/title: PhD Positions in Thermoplastic Composites

To accelerate the transition to climate neutrality in the aviation sector, the development of ultra-efficient aircraft is crucial. This requires groundbreaking research into revolutionary new materials, structures and production technologies. As a PhD at TU Delft’s Aerospace Structures and Materials (ASM) Department, you will work at the forefront of application-driven research. Would you like to work with leading manufacturers, airlines and researchers in the Dutch aviation industry and contribute to sustainable aviation? The Dutch government-funded multi-year project in which you will be involved covers the entire spectrum from materials development and structure design to production, certification and recycling geared to thermoplastic composite technology.

We offer several PhD positions, each geared to unique fundamental and experimental research lines. You may, e.g., focus on the development of entirely new ultra-light thermoplastic composites. Or on revolutionary production, processing, and assembly and welding techniques, driving down energy consumption, waste and e.g. the use of titanium fasteners. Alternatively, you may focus on the ‘factory of the future’, boosting the Dutch aviation manufacturing industry’s competitiveness. By developing rapid non-destructive testing methods to dramatically reduce inspection times or by digitising manufacturing processes to demonstrate process reproducibility. Of course, you will be writing articles and disseminating knowledge in scientific communities and at conferences.

Deadline : 11 Februari 2024

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(31) PhD Degree – Fully Funded

PhD position summary/title: PhD-kandidaat: Menselijk gedrag rondom de veiligheid van slimme apparaten

Hoe gaan mensen om met de ‘slimme’ apparaten die overal opduiken? Miljarden van dit soort computers verschijnen in onze huizen, op straat en in bedrijven. We weten nog weinig over hoe mensen omgaan met deze nieuwe technologie, met name op het gebied van veiligheid en privacy. Hoe beïnvloeden slimme apparaten ons gedrag? Welke mentale modellen vormen mensen van wat deze apparaten precies uitspoken? Hoe kunnen mensen keuzes maken over veiligheid en privacy? We zijn op zoek naar een gemotiveerde sociale wetenschapper die promotieonderzoek willen doen naar deze vragen, in nauwe samenwerking met onderzoekers uit de informatica en andere disciplines.

Deadline :  11 februari 2024

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(32) PhD Degree – Fully Funded

PhD position summary/title: PhD position Scalable Cloud Applications

Fifteen years have passed since the very first cloud computing offering. Yet, to this date, programmers fail to har- ness the power of the cloud, struggling to grasp the ever-changing abstractions offered by cloud providers. At the moment, very few highly-skilled programmers can author scalable and consistent cloud applications. These highly-skilled programmers, however, can only be afforded by the so-called “Big Five” (Google, Amazon, Facebook, Apple, and Microsoft), leaving smaller companies and startups no chance of competing against them.

Deadline : February 10, 2024

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(33) PhD Degree – Fully Funded

PhD position summary/title: PhD position Computational design and fabrication

Project SpaceTimeOpt presents a new paradigm in computational design for additive manufacturing. We aim at closing the gap between the performance of the as-designed and the as-fabricated components. The basic idea is to encode fabrication sequences by introducing the time dimension. With this, we formulate (spatial) structural design and (temporal) fabrication process planning as a unified optimization problem in the space-time domain, and thus the concept, space-time optimization. Space-time optimization exploits simultaneously the design freedom as well as the freedom in fabrication sequence, offered by current (and future) AM technologies. This will enable AM to deliver on its promise.

Deadline : 9 February 2024

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(34) PhD Degree – Fully Funded

PhD position summary/title: PhD Position in ChemEng

Artificial intelligence (AI) promises great advances for the modeling and operation of chemical industrial processes. We are seeking a highly motivated PhD student to work on AI methods and applications in chemical industrial processes.

In this PhD project, you will develop novel tools for the design and operation of chemical processes with AI. You will combine chemical process engineering knowledge with data-driven approaches in an effective way. The methods that you will develop and apply can potentially include hybrid modeling, graph neural networks (GNNs), transformer models and much more.

Deadline : 09-02-2024

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(35) PhD Degree – Fully Funded

PhD position summary/title: PhD Position Societally Responsive and Value-Based Asset Management of Bridges and Quay Walls in Amsterdam, The Hague and Zwolle

The PhD research is part of a project called “UBQ4: Urbiquay for responsive and value-based asset management”. This four-year project is part of the NWO-NWA Urbiquay programme which starts in April 2024. Urbiquay was initiated by the city of Amsterdam and the Dutch Ministry of Infrastructure and Water Management to generate knowledge regarding sustainable solutions for the repair, renewal and management of bridges and quay walls in a complex urban context. Building upon and synthesizing the insights from three, more engineering-oriented Urbiquay projects that already took off, UBQ4 develops and validates methods, approaches and guidelines for the implementation of societally responsive and value-based UBQ asset management decisions and practices.

This fully funded PhD position will deliver an overview of what values are institutionalized in UBQ management in Amsterdam, the Hague and Zwolle and in-depth insights into what values are potentially at stake and how they are dealt with at specific locations in these cities. It will apply theoretically grounded and empirically validated methods to identify and categorise values and to address conflicting (conceptions of) values. Close interactions, involvement and collaboration with other researchers and the asset management on location in the three cities ensures the delivery of context-specific and generalizable results to be used by asset managers in other municipalities.

Deadline : 8 February 2024

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(36) PhD Degree – Fully Funded

PhD position summary/title: PhD – Spatial design of future deltaic systems

The research project deals with the considerable physical inheritance of the Dutch deltaic built environment where the current changes in building and planning infrastructures by specialists may also impact the future attitude of perceiving and experiencing cities, landscape and places by citizens. Envisioning and visualizing future road maps, spatial transformations and giving back also concrete pictures on how the future of the deltaic systems would be are tasks expected to be developed during the doctorate. Scientific design activity indeed is meant as decisive to obtain three main objectives: explore spatial challenges of climate change in its complexity, guide decision making process within actors towards design solutions, convey (also to the non-specialists) specific and desirable visions of future adaptation.

Deadline : February 4th, 2024

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(37) PhD Degree – Fully Funded

PhD position summary/title: PhD – Students Taking Responsibility for their own Learning Process

For this PhD theme, you will consider ways of increasing students’ responsibility toward their learning. You will explore the current landscape of engineering education practices with regard to the role of students and trace new patterns of collaboration between students and their educators and also their peers that aim at redistributing agency in learning. Based on this research, you will design specific interventions across a number of TU Delft courses aiming to raise student responsibility and then monitor and evaluate the impact of these interventions.

On this project, you will employ research and design methods to:

  1. Inquire on the latest theories of knowledge creation and learning and how these affect the educational formats in engineering education.
  2. Investigate existing and develop new pedagogical approaches and technologies for supporting students’ responsibility.
  3. Map and analyse innovative educational formats within TU Delft that already enhance the role of students and increase their responsibility in their learning.
  4. Develop a Pedagogical Pattern Language (PPL) of practices and tools that foster student responsibility.
  5. Design, implement, monitor, and evaluate specific interventions in various existing courses using the PPL whilst also enhancing it.

Deadline : February 4th, 2024

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(38) PhD Degree – Fully Funded

PhD position summary/title: PhD position 6G Security by Design

Like previous telecom generations, the 6G network will also have a Radio Access Network (RAN) and a Core Network. However, in contrast to previous generations, 6G will evolve towards open and virtualized RANs. While this evolution will bring many benefits, like breaking vendor lock-in, it may also introduce new security challenges. Attacks could target the open/virtualized RAN and subsequently permeate to the core network. Novel security mechanisms are therefore imperative for the successful deployment of 6G. Your PhD research seeks to pioneer intelligent security analytics for a zero-trust 6G infrastructure. This includes developing machine-learning models adept at detecting and neutralising threats and cyber-attacks within 6G networks. Your work will advance the state-of-the-art by designing architectural solutions that fortify the security of 6G systems. Additionally, your research will shed light on novel attacks that could target these systems, evaluating their (potential) impact and severity.

Deadline : Open until filled 

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(39) PhD Degree – Fully Funded

PhD position summary/title: PhD position 6G Telemetry Systems

Join the frontier of innovation in 6G: the future of mobile networks technology! In the Netherlands, a unique alliance of 60 top-notch ICT companies, semiconductor firms, and research institutions has united to spearhead specific aspects of 6G: (1) software antennas, (2) AI-driven network software, and (3) groundbreaking 6G applications. Join us as a PhD student in this prestigious Future Network Services (FNS) flagship project, where research and entrepreneurial pursuits converge. Click here for more information about the alliance and an overview of all PhD positions

Currently, managing networks has become increasingly complex, to the point that human error is the main cause of telecom downtime. Creating a digital twin of the 6G network can help overcome that complexity. A 6G digital twin could offer (1) a visual digital representation of the 6G network, including its traffic, configuration, and software, and (2) simulation, emulation, and modelling tools to predict network behaviour and verify management and control actions before executing them. Your PhD journey focuses on constructing the crucial telemetry systems needed to fuel the digital twin with fine-grained data. Design AI-based network monitoring techniques to enhance inference accuracy and reduce telemetry overhead. And leverage our cutting-edge programmable network testbed to build automated telemetry systems, capturing traffic and software data in real-time.

Deadline : Open until filled 

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(40) PhD Degree – Fully Funded

PhD position summary/title: PhD Position Advancing Pointing Acquisition and Tracking Using Photonic Integrated Circuits for Laser Satellite Communications

In the realm of space-based data transmission, laser satellite communication has emerged as a promising technology, surpassing Radio Frequency systems (RF) due to its superior data throughput and enhanced security features. However, a critical hurdle lies in achieving precise pointing accuracy for the optical beam, crucial for maximizing communication efficiency and reliability.

This PhD project centers on designing a compact and efficient Pointing Acquisition and Tracking Transmitter using cutting-edge photonic integrated circuits (PICs). The primary focus involves evaluating diverse architectural options and making informed trade-offs. Traditional systems are bulky, necessitating innovative approaches to replicate the functionality of these large components. Leveraging the inherent compactness of PICs, this research delves into relatively unexplored territory with promising yet nascent technology, aiming to experiment and validate novel functionalities crucial for laser satellite communication.

Deadline : 4 February 2024

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(41) PhD Degree – Fully Funded

PhD position summary/title: PhD position AI-assisted 6G App Development

Join the frontier of innovation in 6G: the future of mobile networks technology! In the Netherlands, a unique alliance of 60 top-notch ICT companies, semiconductor firms, and research institutions has united to spearhead specific aspects of 6G: (1) software antennas, (2) AI-driven network software, and (3) groundbreaking 6G applications. Join us as a PhD student in this prestigious Future Network Services (FNS) flagship project, where research and entrepreneurial pursuits converge. Click here for more information about the alliance and an overview of all PhD positions

Future 6G applications and services demand seamless integration with the 6G network, which houses diverse devices and compute resources. Your PhD research will simplify this complexity by empowering service providers to task an AI model, developed specifically for this purpose, to create, compose, and build apps based solely on textual or visual input. Picture a development platform and an accompanying “App store” designed for 6G-ready applications. Leveraging global pre-standards for open and disaggregated resources and services, this platform becomes a catalyst for innovation. The “App store” serves as a hub where apps and data are accessible for direct use or as components for the AI-assisted development platform. Ensuring safe deployment of apps alongside other applications and in interactions with humans is crucial. Testing and benchmarking activities are therefore an indispensable part of the package. Your research will pioneer methods that set the stage for a vibrant, interconnected 6G app landscape.

Deadline : Open until filled 

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(42) PhD Degree – Fully Funded

PhD position summary/title: PhD position AI/ML Algorithms for 6G Systems

Join the frontier of innovation in 6G: the future of mobile networks technology! In the Netherlands, a unique alliance of 60 top-notch ICT companies, semiconductor firms, and research institutions has united to spearhead specific aspects of 6G: (1) software antennas, (2) AI-driven network software, and (3) groundbreaking 6G applications. Join us as a PhD student in this prestigious Future Network Services (FNS) flagship project, where research and entrepreneurial pursuits converge. Click here for more information about the alliance and an overview of all PhD positions

6G will be markedly different from prior telecom generations in its pervasive use of AI. Your PhD pursuit aims to pioneer, implement, and assess AI/ML-based algorithms for resource management solutions within 6G communication systems. This unique opportunity challenges you to devise solutions that can operate in a dynamic, near-real-time setting. Explore cutting-edge AI/ML techniques such as Online Learning, Reinforcement Learning, Federated/Split Learning, Deep Learning, and Safe & Prompt Learning. And test these fundamental theoretical tools in realistic conditions and at scale, using TU Delft’s state-of-the-art testbeds, and through close collaboration with our FNS industry partners. Blend theoretical concepts with practical deployment, producing groundbreaking results for 6G communication systems and refining novel AI/ML techniques tailored to these challenges.

Deadline : Open until filled 

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(43) PhD Degree – Fully Funded

PhD position summary/title: PhD position Digital Twin for Network Management Support in 6G

Managing networks has become increasingly complex. Particularly when incidents or large traffic fluctuations occur, operators suddenly have to grapple with a storm of logs and alerts, to swiftly identify and resolve issues. This highlights the need for proactive measures. A digital twin of the 6G network can assist operators in anticipating and hence preparing for and mitigating such disruptions. Such a digital twin provides a visual representation of the 6G network, incorporating telemetry data, configurations, and software, alongside simulation and modelling tools for scenario analysis and behaviour prediction. Your PhD research centres on developing a Decision Support System (DSS) – utilising the 6G digital twin – for capacity and deployment management. The objective is to timely anticipate network load changes and application dynamics over extended timeframes. The DSS continuously forecasts potential disruptions and capacity issues, providing operators with actionable insights for network configuration, design, or evolution. For instance, it could prepare for unexpected disruptions caused by disasters or predict spatio-temporal traffic growth to proactively address capacity challenges.

Deadline : Open until filled 

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(46) PhD Degree – Fully Funded

PhD position summary/title: PhD Position Future Engineering Skills

The PhD will work in a cross-faculty research team of more than twenty TU Delft staff members, two post-docs, an educational development specialist and student assistants. The group works on four work packages and conducts educational research with respect to: (1) finding and analysing current good practices and helping to create an inventory of what skills are desired from engineers by potential employers; (2) co-developing pilot teaching activities focusing on various transdisciplinary skills on the basis of theory, literature and best practices; (3) testing these activities and investigating how transdisciplinary skills may develop in practice and create a knowledge base on how various skills could be taught; (4) inform and assist the team in activities on institution wide educational development with respect to future engineering skills.

Deadline : February 4th, 2024

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(47) PhD Degree – Fully Funded

PhD position summary/title: PhD position Generative Programming for 6G

Join the frontier of innovation in 6G: the future of mobile networks technology! In the Netherlands, a unique alliance of 60 top-notch ICT companies, semiconductor firms, and research institutions has united to spearhead specific aspects of 6G: (1) software antennas, (2) AI-driven network software, and (3) groundbreaking 6G applications. Join us as a PhD student in this prestigious Future Network Services (FNS) flagship project, where research and entrepreneurial pursuits converge. Click here for more information about the alliance and an overview of all PhD positions

Traditional network devices carry numerous underutilised features and protocols, culminating in unnecessary software complexity and enlarged attack surfaces. The solution lies in programmable network devices, allowing tailored installations of required programs and protocols. However, these devices introduce a new programming axis, potentially leading to bugs and vulnerabilities. Your PhD research aims to revolutionise this landscape by leveraging AI-based solutions to auto-generate software and configurations for programmable network devices. Explore methods to select optimal configurations using a data-driven approach akin to AutoML’s hyperparameter tuning, and which doesn’t compromise system performance, SLAs, or overall functionality. This is your chance to pioneer AI-driven solutions that streamline configurations, thereby fortifying network resilience and optimising performance.

Deadline : Open until filled 

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(48) PhD Degree – Fully Funded

PhD position summary/title: PhD Position Improved Seismic Monitoring of Underground Hydrogen Storage (UHS) in Depleted Hydrocarbon Fields

The Dutch government has funded the HyTROS consortium to investigate and enable Hydrogen Transport, Offshore and Storage in the Netherlands. The consortium consists of 11 universities, 2 research institutes, 2 universities of applied sciences, and 19 industrial partners. As part of the Task “Large-scale hydrogen storage” of HyTROS consortium, the Department of Geoscience and Engineering at TU Delft is seeking to recruit 2 fully funded PhD positions for 4 years each. The PhD candidates will work on underground hydrogen storage (UHS) in depleted hydrocarbon fields, specifically on field-scale characterization, performance analyses and monitoring of UHS to enable its efficient and secure operation in a potential pilot site. The successful applicants will work in close cooperation with each other under the supervision of researchers from the sections Applied Geophysics and Petrophysics, Reservoir Engineering, Applied Geology, and Delphi consortium.

Deadline :  4 February 2024

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(49) PhD Degree – Fully Funded

PhD position summary/title: PhD Position Reservoir Simulations of Underground Hydrogen Storage (UHS) in Depleted Hydrocarbon Fields

The Dutch government has funded the HyTROS consortium to investigate and enable Hydrogen Transport, Offshore and Storage in the Netherlands. The consortium consists of 11 universities, 2 research institutes, 2 universities of applied sciences, and 19 industrial partners. As part of the Task “Large-scale hydrogen storage” of HyTROS consortium, the Department of Geoscience and Engineering at TU Delft is seeking to recruit 2 fully funded PhD positions for 4 years each. The PhD candidates will work on underground hydrogen storage (UHS) in depleted hydrocarbon fields, specifically on field-scale characterization, performance analyses and monitoring of UHS to enable its efficient and secure operation in a potential pilot site. The successful applicants will work in close cooperation with each other under the supervision of researchers from the sections Applied Geophysics and Petrophysics, Reservoir Engineering, Applied Geology, and Delphi consortium.

Deadline : 4 February 2024

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(50) PhD Degree – Fully Funded

PhD position summary/title: PHD Position Self Lab

Position -1: To develop an SNN based ASIC for massively parallel neural interfaces with active digital pixels for amplification, filtering and digitization of the neural signals. Moreover, investigate compression and/or feature extraction at the sensor location for reducing the data movement cost from the sensors to the Spiking Neural Network engine.

Position-2: To develop software-based energy-efficient framework for mapping Spiking Neural Network (SNN) application to neuromorphic hardware. Furthermore, to develop software libraries to reduce the size of the network without impacting its overall accuracy as well as software models for processing streaming data with low-latency SNNs on low-power Edge devices, using insights from the latest ML-oriented bi-level optimization tools.

Deadline : February 4, 2024

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(51) PhD Degree – Fully Funded

PhD position summary/title: PhD Position Urban Planning and Design of Manufacturing Functions in Cities, Case Studies Rotterdam and Athens

We are searching for a four-year full-time PhD candidate. Your PhD research project will serve as an integral part of the recently awarded Horizon Europe Research In Action Project FABRIX (Fostering local, beautiful, and sustainably designed regenerative textile and clothing ecosystems). The urgency to retain manufacturing functions in urban regions is growing after decades of planning ‘post-industrial’ cities. There are several reasons for this, including the need for diversified jobs in cities, the necessity to remanufacture products as locally as possible in a circular economy, and the promotion of innovation from tacit to productional knowledge. The latter is increasingly driven by geopolitical rationales. While these reasons gain (political) momentum, the process is anything but easy.

Deadline : 4 February 2024

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(52) PhD Degree – Fully Funded

PhD position summary/title: PhD Position Probability Theory

The PhD position is in the area of probability theory and statistical mechanics. The PhD project is a NWO funded “open competition project” which deals with the study of metastability for dilute spin systems. These are classical models of statistical mechanics with bond disorder, i.e. where deterministic pair interactions are replaced by random variables. The main objective is to develop a robust mathematical approach to study the metastable behaviour of these models. Metastability is a universal phenomenon, where a system spends a long time in a state of “pseudo equilibrium” until it crosses over to a stable state. This project aims at identifying the quantities characterising the stochastic nature of this phenomenon, such as the average and the distribution of the random transition time.   

Deadline : February 2, 2024

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(53) PhD Degree – Fully Funded

PhD position summary/title: 4 PhD positions in Cellular Agriculture

To start this new and exciting research program at TU Delft, we seek to hire 4 PhD candidates to contribute to the development of CA, focusing on process engineering aspects of large-scale cell cultivation and precision fermentation. The projects entail a combination of fermentation technology to grow and differentiate (stem) cells under controlled conditions, together with mammalian cell biology for proper understanding, steering and control of the stem cell fate during cultivation. To successfully deploy cultivated meat at large scale, at minimum the following aspects need to be addressed: (1) Develop or adapt mammalian cells to grow on alternative, low-cost nutrients, e.g. nitrogen sources and growth factors. (2) Cell line optimization for high-cell density cultivations. (3) Design of novel processes for intensified, low cost cell production under appropriate hygienic conditions, including testing of concepts at larger representative scale (up to m3 scale). This would contribute to the systematic development of bioreactors and large scale aseptic CA processes and to the development of integral process concepts of CA products based on mammalian cell culture and precision fermentation. In addition, for successful and responsible deployment of CA technologies, consideration of the environmental impact of CA, and the societal transition towards CA foods are essential. With this, the following 4 projects are defined:

  • PhD 1: Bioreactor design.
  • PhD 2: Platform process design cultivated meat & precision fermentation.
  • PhD 3: Process development for novel raw materials with a microbial cell factory.
  • PhD 4: Sustainable production processes for a socially responsible transition to CA.

Deadline : 31 January 2024 

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(54) PhD Degree – Fully Funded

PhD position summary/title: PhD New Luminescent Materials for Sustainable Energy Technology: towards a photovoltaic window

In order to successfully develop these valuable absorber materials, it is crucial to get fundamental understanding of the physical processes underlying the luminescence mechanism of the produced films. The fundamental insights are obtained first of all by time and temperature resolved optical and luminescence spectroscopy combined with a variety of techniques to analyze the structure, (defect)composition and doping ion composition of the films. Secondly fundamental understanding involves data interpretation by modelling using solid state physics, optics and quantum mechanics. Ideally the obtained insights will be used to select materials with improved properties.

Deadline : 31 January 2024

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(55) PhD Degree – Fully Funded

PhD position summary/title: PhD or PostDoc Position on Climate Impacts of Novel Aeroengine Technologies

The aviation industry has been growing rapidly until the COVID-19 pandemic. The ICAO Post-COVID-19 forecasts indicate that aviation will recover with an average growth rate of 3.6%. Air traffic growth inevitably causes an increase in aviation’s combustion emissions, hence aggravating aviation’s environmental and societal impacts locally and globally. Depending on your seniority, you will conduct research into the climate impact of disruptive aircraft engine technologies as a PhD candidate or a postdoctoral researcher working in the Horizon Europe HOPE (Hydrogen Optimised Multi-Fuel Propulsion System for Clean and Silent Aircraft). The goals for this position are to investigate the impact of emission change on climate effects from e.g., contrails, thereafter, to further develop the open-source climate model for evaluating multi-fuel aircraft engine technology. The feedback of which will be incorporated in engine design.

Deadline : 31 January 2024

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About Delft University of Technology (TU Delft), Netherlands  –Official Website

Delft University of Technology, also known as TU Delft, is the oldest and largest Dutch public technical university. Located in Delft, Netherlands, it is consistently ranked as one of the best universities in the Netherlands, and as of 2020 it is ranked by QS World University Rankings among the top 15 engineering and technology universities in the world.

With eight faculties and numerous research institutes, it has more than 26,000 students (undergraduate and postgraduate) and 6,000 employees (teaching, research, support and management staff).

The university was established on 8 January 1842 by William II of the Netherlands as a Royal Academy, with the primary purpose of training civil servants for work in the Dutch East Indies. The school expanded its research and education curriculum over time, becoming a polytechnic school in 1864 and an institute of technology (making it a full-fledged university) in 1905. It changed its name to Delft University of Technology in 1986.

Dutch Nobel laureates Jacobus Henricus van ‘t Hoff, Heike Kamerlingh Onnes, and Simon van der Meer have been associated with TU Delft. TU Delft is a member of several university federations, including the IDEA League, CESAER, UNITECH International and 4TU.

 

 

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