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47 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 student on a project “Self-assembled microgels as rheology modifiers for formulation technologies” as part of MultiSMART

We seek an outstanding Doctoral Candidate to study Self-assembled microgels as rheology modifiers for formulation technologies. We are looking for candidates, without gender or nationality discrimination but with mobility requirement, with interest in supramolecular chemistry or physical chemistry of soft materials. Goals of the PhD project include the fabrication of hierarchically structured microgels by using a.o. microfluidic techniques, that mimic the structure and viscoelastic properties of biological tissues, and to explore the properties of these novel materials. In this challenging experimental project you will use a broad variety of spectroscopic, microscopic and material characterisation techniques, to study the physical chemistry of soft, hierarchically structured materials

Deadline : 15-8-2023

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(02) PhD Degree – Fully Funded

PhD position summary/title: PhD position Computational aspects of Bayesian inverse problems with non-Gaussian priors

In applications such as image processing and materials science, we wish to understand a complex system from noisy observations. This is the challenging setting of  inverse problems. The PhD project concerns employing a Bayesian approach to such inverse problems with general, non-Gaussian priors, with the aim of preserving structure available in the information. Examples of non-Gaussian priors are Besov priors which allow function discontinuities (similar in spirit to the TV regularization used in image processing). Additional challenges may be how to deal with situations where the likelihood is not differentiable or the likelihood computation is of black-box type and/or has no gradient information available.

Deadline :  August 2, 2023

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(03) PhD Degree – Fully Funded

PhD position summary/title: PhD Position Edge-AI-assisted Advanced Phenotyping

Precision agriculture, which employs sensing technology and artificial intelligence to drive automated agriculture processes and decisions, has demonstrated great potential to improve efficiency, transparency, and productivity in the sector. For example, automated crop monitoring in greenhouses can be carried out collaboratively in real time using handheld devices and autonomous robots to collect data and monitor crop health. While AI has shown promise in many context-sensing tasks, realizing the full potential of AI for automated crop monitoring requires overcoming several research challenges. These include designing computationally efficient deep learning solutions for resource-constrained edge devices and addressing the sparse data problem in training robust monitoring systems.

Deadline :  July 31, 2023, 

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(04) PhD Degree – Fully Funded

PhD position summary/title: PhD position Understanding multimodal interaction with neural tissue

The successful applicant will be embarking on a new project in which multimodal electrophysiology will be used as a means to create a fundamental understanding of neural interaction. State-of-the-art equipment, including multichannel neurostimulator and recording setups, microscopy and ultrasound experimental platforms, as well as, cell culture facilities are available in our department. To be successful in this project it is foreseen that you will need to combine these into novel tailored in vitro setups, trained on performing in vitro experiments and expand your knowledge into various mechanisms of neural activation.

Deadline : 22nd of May 2023

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(05) PhD Degree – Fully Funded

PhD position summary/title: PhD Position in Processing and Learning over Dynamic Graphs  

In this PhD project, you will develop novel signal processing and machine learning theory for data over dynamic graphs leveraging insights from graph machine learning signal processing, graph neural networks, and graph representation learning. Such techniques will be applied to recommender systems and water networks. The project will be carried out in the research group of Dr. E. Isufi, in collaboration with researchers at the faculty of EEMCS and Aidrolab. Dr. Isufi’s group at TU Delft works on fundamental research on graph signal processing and graph machine learning. We focus on both theoretical and applied research especially to recommender systems (in the Multimedia Computing Group) and water networks (in Aidrolab).

Deadline :July 16, 2023,

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(06) PhD Degree – Fully Funded

PhD position summary/title: Phd position Integrated Smart Gate Driver for SiC Inverters in EV

SiC inverters are an essential part in the EV motor system. As SiC technology is still not very matured nowadays, a smart gate driver to drive the transistors efficiently while monitoring the state-of-health would be beneficial. Meanwhile, issues related to EMI, over-voltage/current protection, short-circuit protection should also been taken care of. In this project, a highly integrated, multi-functional smart gate driver will be proposed to tackle these issues.

Deadline : July 3, 2023

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(07) PhD Degree – Fully Funded

PhD position summary/title: PhD 3D super-resolution microscopy

The PhD position is part of the ERC-Advanced Project Nanocubic of prof. Sjoerd Stallinga, in which we target 3D super-resolution microscopy by breakthrough designs of illumination patterns that are sequentially projected into the sample volume, together with advanced image reconstruction techniques. We strive for isotropic resolution on the 100 nm scale in standard fluorescent samples and 1 nm in single-molecule imaging based techniques. The envisioned advances in microscopic imaging further open the nanoscopic world for scientific exploration. The project builds on the lab’s track-record in the field of computational imaging techniques for super-resolution microscopy. 

Deadline : Open until filled

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(08) PhD Degree – Fully Funded

PhD position summary/title: PhD-position Musical Robot for People with Dementia

The PhD-candidate will join the QoLEAD project, a unique interdisciplinary collaborative network for the co-creation of intelligent personalized support for people with dementia (PwD). This position is at the Interactive Intelligence group of TU Delft, with a tight connection to the Music, Brain, Health & Technology (MBHT) lab of University Leiden (Rebecca Schaefer, the head of the lab, will co-supervise the PhD). Furthermore, the PhD-research is part of a work package that develops a “social agent and robot framework”, in which TU Delft closely  collaborates with the Radboud University, RU (i.e., the concerning RU PhD-student and supervisors who focus on a supportive virtual agent).

Deadline : June 19, 2023

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(09) PhD Degree – Fully Funded

PhD position summary/title: PhD Position Analysis of Socio-technical Tipping Points in Integrated Modelling for Climate Policy

Integrated Assessment Models (IAMs) shape the current discussion on the global response to climate change by supporting policymakers with their long-term projections of natural-human systems evolution. Although ever-improving, these models still overlook important reinforcement feedback loops of socio-technical processes relevant to climate policies. Some of these loops are responsible for socio-technical lock-ins, and others for an accelerated transition to new states of the economy. With the global ambition of becoming carbon neutral in a few decades and the looming impacts of climate change, it is essential to recognize how these non-linear processes could quickly amplify or dampen the impact of different climate mitigation actions. You will develop a conceptual and computational framework for a novel IAM that captures socio-technical tipping points at the macro-regional scale, redefining the quest for the most feasible, equitable, effective, and disruptive near-term climate mitigation policies.

Deadline : 18 June 2023 

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(10) PhD Degree – Fully Funded

PhD position summary/title: PhD Position Design for Reliability of Power Electronics

State-of-the-art power modules have significant shortcomings that limit the maximum energy efficiency and the lifetime of SiC power MOSFET semiconductors. This is a roadblock for smart, safe and green e-mobility. With our unique semiconductor ecosystem shared between a major semiconductor company and TU Delft, we are convinced that these roadblocks can be removed with research aimed at finding new key differentiating technologies. The candidate will be expected to conduct experiments and simulations to characterize the mechanical behavior of SiC power modules, identify failure mechanisms, and develop models to predict their lifetime under various operating conditions. The candidate will also be responsible for contributing to the development of new packaging solutions and collaborating with other researchers and engineers in the project.

Deadline :  June 15, 2023

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(11) PhD Degree – Fully Funded

PhD position summary/title: PhD Position Heterogeneous Integration Technology in Power Modules

Using SiC switches and smart power modules in electric vehicles (EVs) can significantly improve the efficiency and performance of the vehicle’s power electronics systems. SiC switches offer lower switching losses and higher temperature tolerance compared to traditional silicon-based switches, which can result in higher efficiency and power density of the EV’s inverter. Smart power modules integrate power semiconductor devices, gate drivers, protection circuits, and other components in a compact package, which can simplify the design and reduce the size and weight of the EV’s power electronics system. By incorporating SiC switches and smart power modules in EVs, manufacturers can improve the vehicle’s range, acceleration, and overall performance while reducing energy consumption and environmental impact.

Deadline :June 15, 2023

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(12) PhD Degree – Fully Funded

PhD position summary/title: PhD Position Implementing Smart SiC Power Modules for the Automotive Energy Transition

Using SiC switches and smart power modules in electric vehicles (EVs) can significantly improve the efficiency and performance of the vehicle’s power electronics systems. SiC switches offer lower switching losses and higher temperature tolerance compared to traditional silicon-based switches, which can result in higher efficiency and power density of the EV’s inverter. Smart power modules integrate power semiconductor devices, gate drivers, protection circuits, and other components in a compact package, which can simplify the design and reduce the size and weight of the EV’s power electronics system. By incorporating SiC switches and smart power modules in EVs, manufacturers can improve the vehicle’s range, acceleration, and overall performance while reducing energy consumption and environmental impact.

Deadline : June 15, 2023

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(13) PhD Degree – Fully Funded

PhD position summary/title: PhD position in biodegradable sensors for environmental monitoring

The goal of our group at TU Delft is to develop biodegradable MEMS (Micro-Electro-Mechanical Systems), a new class of microsystems made entirely of biodegradable materials, including sensors, actuators and electronics. They can be used in many fields such as medicine or environmental monitoring, thus addressing crucial societal challenges. Agriculture is facing significant challenges due to population growth, climate change, resource depletion, and soil degradation. It is imperative to integrate advanced sensing and communication techniques into agriculture to address these challenges. In order to make informed decisions for successful agriculture, it is crucial to have real-time characterization of soil heterogeneity, including factors such as soil compaction, moisture, phosphorus, and nitrogen. This information allows for precise optimization of agricultural operations, such as sowing, irrigating, fertilizing, and harvesting, in terms of timing, location, and intensity.

Deadline :  June 15, 2023

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(14) PhD Degree – Fully Funded

PhD position summary/title: PhD Position Integrated optimization- and learning-based control for smart transportation networks

This PhD project is part of the European ERC Advanced Grant project CLariNet – a novel control paradigm for large-scale hybrid networks. The goal of CLariNet is to create a completely new paradigm for control of large-scale networks with hybrid dynamics (i.e., systems with a combination of continuous dynamics and event-driven dynamics or switching) by bridging the gap between optimization-based control and learning-based control. The aim of this PhD project is to develop an integrated control framework for smart transportation systems that combines the best features of optimization-based control (optimality, ability to deal with constraints, …) and of learning-based control (fast online execution, ability to deal with uncertainty, …). We will in particular focus on combining model predictive control and reinforcement learning control. In addition, by focusing on the application in smart transportation systems we will be able to leverage the specific properties and features of such systems to gain additional improvements w.r.t. integrated optimization- and learning-based control for general networked systems.

Deadline :15 June 2023

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(15) PhD Degree – Fully Funded

PhD position summary/title: PhD Identification of Dynamic Track Stiffness Profiles from Rail Deflection Fields

Within the STEM research program Delft University of Technology is cooperating with the Dutch infra manager ProRail and research institutes TNO and Deltares on a better control of train-induced environmental vibration. The program, which is supported by a large-scale experimental agenda, focuses on developing a state of the art simulation tool for train-induced vibration diagnosis and prediction. TU Delft recruits 4 PhD students for fundamental work within this research program. This PhD will focus in particular on the dynamic stiffness profile of the track and its registration, the track stiffness being one of the major aspects with regard to the generation of a dynamic axle load and vibration emission. The PhD position will provide you with a unique chance to further build your career in the field of train-induced vibration, embedded in a large research project with involvement of all major institutes and stakeholders in the Dutch railways. Background:

Deadline : 11 June 2023

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(16) PhD Degree – Fully Funded

PhD position summary/title: PhD Position Hydrogen Bubble Experiments

Hydrogen can be made in a sustainable way in electrolysers, using green electricity. In this process hydrogen and oxygen bubbles form on electrodes inside a liquid electrolyte. These bubbles are insulating, so cause additional resistance. Bubbles are however also beneficial since they locally remove the dissolved gas that could otherwise cross-over to the other electrode and cause explosive gas mixtures. Therefore it will be beneficial to have a good understanding of the behaviour of both hydrogen and oxygen bubbles.

Deadline : 5 June 2023

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(17) PhD Degree – Fully Funded

PhD position summary/title: PhD Position in AI-based Synthetic Data Generation for Airports and Airlines

Sensor data have been increasingly used for assessing, predicting, and optimising performance of airport and airline operations. Data-driven methods and tools from the rapidly developing fields of AI and machine learning have demonstrated their extensive potential to understand and improve air transport operations. However, in some cases, real data may not be readily available (e.g., for new airports or novel, future concepts of operation). To address this issue, in this PhD project, state-of-the-art data-driven methods from AI and machine learning will be used to generate realistic synthetic datasets for airport and airline operations. The models will be trained on existing data and will be used for performance prediction of airports and airlines (in particular, turn-around time, passenger flows, flight delays), for which no or limited data is available.

Deadline : 5 June 2023

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(18) PhD Degree – Fully Funded

PhD position summary/title: PhD Position Robust Eco-Efficient Aircraft Routing

The climate impact of aviation is not just defined by the sector’s carbon dioxide emissions, but also by the formation of warming contrails, the nitrogen oxides induced ozone formation and methane depletion. And as the sector keeps growing, securing long-distance mobility, it is crucial to significantly reduce aviation’s total climate impact by optimising flight routes. You will be part of an interdisciplinary team and you will conduct research to minimising aviation’s climate impact as a PhD candidate at TU Delft. The mitigation options are expected to consider the interdependencies of different climate forcers while incorporating uncertainties associated with individual climate forcer. Your work will be part of the EU-funded CONCERTO project, which aims to reduce aviation’s climate impact via operational improvements and enables you to discuss your ideas and solution with various stakeholders.

Deadline :  5 June 2023 

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(19) PhD Degree – Fully Funded

PhD position summary/title: PhD Postion in Automation of Electric Taxiing at an Airport

Electrification is envisioned to be a key enabler for sustainability of future air transport. Electric aircraft taxiing is a novel, green technological and operational solution considered by many airports worldwide to be implemented in the nearest future. It is also envisioned that most of the future airport ground operations, including aircraft taxiing, will be automated. In this PhD project, the topic of automation of electric aircraft taxiing at an airport will be explored. More specifically, models for autonomous management of aircraft and other airport ground vehicle movements will be developed, taking into account advances in the area of autonomous driving. Interaction between the automated systems and human supervisors will be also considered.

Deadline : 5 June 2023

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(20) PhD Degree – Fully Funded

PhD position summary/title: PhD Candidate for Novel DC-DC Converter for Plant Energy Harvesting.

Collecting energy from the environment to power IoT devices has been a hot topic for decades and continues to develop. In this project, we are working with Plant-e on a plant-powered energy harvester, which can provide energy from the plants day and night. Very different from the solid-state energy harvesters such as solar cells, plant-based energy harvester is a “living” energy harvester that responses to electrical conditions slowly, and  the traditional maximum power point track (MPPT) techniques cannot be applied. The goal of this project is to develop a novel MPPT technique to quickly and accurately find and track the MPP condition of the plant energy harvester. A DC-DC converter will also be designed to demonstrate the system.

Deadline :  June 1, 2023

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(21) PhD Degree – Fully Funded

PhD position summary/title: PhD Condition-Based Monitoring for Maritime Applications

Currently inspection and maintenance on naval vessels is, to a large degree, scheduled at regular time intervals. Methods for planning of maintenance based on the actual condition, and thus varying time intervals and avoiding unexpected maintenance, are not yet established. Condition-based monitoring (CBM) allows for a smarter and optimized use of vessels, but there are still many unanswered questions before CBM can be fully used. In general, the damage or degradation of the vessel structural health is a due to a combination of fatigue, extreme loads, and corrosion. This aim of PhD position is to define a CBM system for these effects, and in particular focuses on monitoring for corrosion damage.

Deadline : 1 June 2023

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(22) PhD Degree – Fully Funded

PhD position summary/title: PhD Positie CloudWalker, ontwerp en evaluatie mechanisch exoskelet

Je gaat als promovendus werken aan de ontwikkeling en evaluatie van een mechanisch exoskelet, of looporthese, de CloudWalker. Dit exoskelet helpt mensen met een verlamming van de benen, bijvoorbeeld bij een dwarslaesie, om zelfstandig te kunnen lopen. Het project is een samenwerking van de TU Delft, het Erasmus MC en Rijndam Revalidatie, in Rotterdam.

Deadline : 1 juni 2023

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(23) PhD Degree – Fully Funded

PhD position summary/title: PhD Position Computational Design of Adsorbents for the Removal of Micropollutants from Water

Per/polyfluorinated alkyl substances, commonly known as PFAS, are a diverse class of environmentally persistent, toxic, and carcinogenic trace pollutants in drinking water. PFAS and other harmful micropollutants are products of domestic, industrial, and agricultural activities. The concentration of such pollutants in drinking water, even at trace levels, poses a threat to the environment and public health. New European Directives call for urgent measures to remove PFAS (and other harmful pollutants) from drinking water because the traditional drinking water treatment technologies may not be able to comply with the new standards. 

Deadline : 1 June 2023

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(24) PhD Degree – Fully Funded

PhD position summary/title: PhD Position Experimental Geomechanics of Clays

The economic feasibility and safety of a geological disposal facility for radioactive waste strongly rely on the performance of the host formation. In the Netherlands, appropriate geological layers are poorly indurated clay formations. Proper characterisation and understanding of the host formation’s time-dependent chemo-hydro-mechanical behaviour is fundamental. Indeed, the disposal facility is expected to be constructed in a process lasting around a decade and operated for several decades prior to closure. However, to date, the behaviour of poorly indurated clays beneath the Dutch surface is inferred from material at much shallower depths from Belgium. The aim of the PhD project is to experimentally characterise the mechanical behaviour of deep poorly indurated clays, with a view of contributing to the safety case for a geological disposal facility in the Netherlands,

Deadline : 1 June 2023 

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(25) PhD Degree – Fully Funded

PhD position summary/title: PhD Position on Machine-learning-based Multi-sensor Detection and Classification for Cleaning Coastal Waters using Autonomous Underwater Robots

In this PhD project we will focus on two main topics: (1) the development of novel multi-sensor detection, identification, and classification methods for underwater litter using the various sensors on-board of the underwater robots, and (2) integration of model-based and data-driven approaches for multi-sensor data fusion and detection classification of underwater litter. For topic (1) deep learning and multi-sensor fusion will be the primary solution directions where the aim is to combine and merge information from e.g. cameras, sonar, magnetic sensors to detect and classify litter, fish, seaweed, etc. At a next stage this can be extended with additional data from surface vessel or aerial drones. For topic (2) we will extend the methods developed in (1) into an integrated model-based decision making approach that is able to  use a priori information from e.g. dynamical or behavior models of fish, seaweed, plastic, etc. to further enhance detection and classification.

Deadline : June 1, 2023,

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(26) PhD Degree – Fully Funded

PhD position summary/title: PhD student on transport phenomena in a zinc-air flow battery for electrochemical energy storage

The main objective of this project, called ReZilient, is to demonstrate the first non-critical-raw-materials-based zinc-air flow battery of its kind. It aims to fill the gap between short-term electrochemical energy storage (Li-ion) and long duration chemical energy storage (e.g. hydrogen storage). ReZilient is funded by the European Commission and is executed by a consortium of Norwegian, Danish, Finnish, Portuguese, Belgian and Dutch organisations.

Deadline : June 16, 2023,

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(27) PhD Degree – Fully Funded

PhD position summary/title: PhD AI-based algorithms for Flexible Energy Systems | Vienna, Austria

The rapid transformation of energy systems presents grid operators with serious challenges. To secure the transition to a renewable and stable grid, reliability is crucial. This is why Delft AI Energy Lab and the Austrian Institute of Technology (AIT) have joined forces in the ‘AI research in energy system planning and operations’ programme. As a PhD student, you will get the unique opportunity to conduct research and develop novel AI-based algorithms geared to enhance energy system tools at Austria’s leading research organisation. Would you like to propose your own research line in the programme? Would you like to combine academic and industrial research?

Deadline : 31 May 2023

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(28) PhD Degree – Fully Funded

PhD position summary/title: PHD position AI for managing large fleets of Electrical Vehicles, Vienna, Austria

In your research, you will focus on the interaction of user behaviour, which may vary largely, grid stability measured in seconds, and charging management. You will research and gain in-depth understanding of the latest machine learning techniques and modify them to tackle charging-related challenges, helping drive smarter grid operation. You will also build verification test beds. In this role, you will have the opportunity to work with major grid operators as well as leading fleet operators. Twice a year, you will join us in Delft for courses and training, as well as interaction with your fellow-researchers at Delft AI Energy Lab.

Deadline : 31 May 2023

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(29) PhD Degree – Fully Funded

PhD position summary/title: PhD Position Cloudwalker, development and evaluation of a Mechanical Exoskeleton

As a PhD student, you will work on the development and evaluation of a mechanical exoskeleton, or walking orthosis, the CloudWalker. This exoskeleton helps people with paralysis of the legs, for example in the case of paraplegia, to walk independently. The project is a collaboration of TU Delft, Erasmus MC and Rijndam Rehabilitation, in Rotterdam. 

Deadline : 1 June 2023 

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(30) PhD Degree – Fully Funded

PhD position summary/title: PhD position in the Artificial Intelligence of Things (AIoT)

The Artificial Intelligence of Things (AIoT) domain combines Artificial Intelligence (AI) technologies and Internet of Things (IoT) infrastructures. It is estimated that the global number of connected IoT devices will grow to 75 billion by 2025. With the advancements in edge computing, the massive data generated and collected via IoT devices can be processed and analyzed by AI locally, which enables more efficient, real-time IoT operations, enhances human-machine interactions, and improves data management and analytics capabilities. The application of AIoT is revolutionizing various industries including autonomous vehicles, critical infrastructure, transportation, robotics, and building control. Although AI exhibits appealing performance in capturing sophisticated patterns from complex physical processes, landing AI on IoT in practice is still facing numerous challenges such as adverse scenarios, resource constraints, malicious attacks, privacy leakage, device heterogeneity, and run-time domain shift.

Deadline : May 31, 2023,

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(31) PhD Degree – Fully Funded

PhD position summary/title: PhD Position Spread in Networks (ERC ViSioN)

Epidemic processes widely apply to biological and computer network viruses, cascading failures in power grids, the spread of news, rumour or emotions in social networks, transactions in banking networks and to the processing of functions 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 the Silicon Valley Bank throughout the global banking system and earlier the Covid-19 outbreak have 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 : May 31, 2023.

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(32) PhD Degree – Fully Funded

PhD position summary/title: PhD positions in quantum photonics with color centers

Positions are available in the following areas:

  1. Photonic integrated circuits for quantum information processing. The research will include design and characterization of photonic foundry chips and in-house nanofabrication, and will have a special focus on hybrid integration and on-chip control of color centers, development of cryogenic optical switching, and integration with single-photon detectors.
  2. Silicon color centers for scalable quantum communication and computing. You will study new color centers in silicon and diamond, including their fabrication and integration into nanophotonic structures, their quantum control, and their characterization using free-space and waveguide-based cryogenic spectroscopy.

Deadline : May 31, 2023

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(33) PhD Degree – Fully Funded

PhD position summary/title: PhD position on Artificial intelligence for user-centered and energy-efficient operation of buildings

The selected candidate will work on developing data-driven user archetypes and inference strategies to personalise building control and reduce energy consumption whilst increasing user comfort and satisfaction. The candidate will contribute to the development of a novel AI-enhanced strategy for assimilating user needs in a non disruptive manner and accordingly inform model-based building control systems. Further, the candidate will design the information infrastructure between users and building controls, balancing data accuracy with intrusiveness.

Deadline : May 28, 2023

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(34) PhD Degree – Fully Funded

PhD position summary/title: PhD Ethics and Philosophy of Technology

Digital technology is everywhere nowadays. We interact with recommender systems on digital platforms such as Facebook, Netflix, or Amazon. We converse with virtual personal assistants like Alexa or Siri and receive care and pleasure from specialised robots. More and more, we interact with increasingly autonomous artificial agents, in and outside of virtual environments. As a result, our epistemic environment is changing at a breathtaking speed while our capacities to navigate the environment, and decide when quick decision can be made and when we need to step back and reflect, struggle to keep up.

Deadline : 26 May 2023

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(35) PhD Degree – Fully Funded

PhD position summary/title: PhD Position in Monitoring and Safety Verification for the Dutch Railways

We consider human feedback to be essential for achieving reliability of automation in the real world. We believe in the hidden synergies between formal and machine learning. You will conduct both theoretical and empirical research on real-time monitoring and safety verification of automated plans under the real-world uncertainties. We envision the project to have both significant scientific and practical impact for the Dutch Railways.

Deadline : May 23, 2023

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(36) PhD Degree – Fully Funded

PhD position summary/title: PhD position on High End Analytics for Organ Viability Sensing

The PhD in this collaboration project between Erasmus MC and Delft University of Technology will investigate different high-end analytical methods to analyze the functioning and state of a donor liver, and will design and develop sensors that can determine the health state via selected biomarkers. Subsequently these sensors will be integrated in a well-controlled environment for organ storage and preparation for transplantation in order to improve the success rate for liver transplantation.

Deadline : 22 May 2023 

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(37) PhD Degree – Fully Funded

PhD position summary/title: PhD 1/8 XCARCITY Sensor Network Design for Real-Time Smart Mobility Applications

As PhD candidate your main focus will be on sensor network design for real-time smart mobility applications. You will develop a utility-based sensor network design framework including AI-based impact assessment and forecasting methods and a utility function for real-time applications. Design variables are: choice of data sources or sensors considered, amount and location (if stationary), the type of data to be delivered and the frequency and latency of data delivery (if relevant).

Deadline : 21 May 2023

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(38) PhD Degree – Fully Funded

PhD position summary/title: PhD 2/8 XCARCITY Sensor network design for strategic multi-modal transportation service planning

Increasing housing density and decreasing space for transport infrastructure and private parking are threatening the sustainable accessibility of urban regions. Potential smart mobility solutions consist of flexible combinations of walking and cycling, shared electric vehicles, transport hubs, freight delivery and traffic management – but we lack the modelling tools to test these solutions.

Deadline : 21 May 2023 

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(39) PhD Degree – Fully Funded

PhD position summary/title: PhD 5/8 XCARCITY Integrated smart mobility strategies

The first part is “Dynamic Road Space Allocation” which aims at investigating the possibility of multi-purpose usage of the available road space for different mobility modes at different times (i.e., day, week, month, or special locations). The second part is about multimodal transport networks’ design that respects the dynamic space allocation and that leads to higher sustainability.

Deadline : 21 May 2023

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(40) PhD Degree – Fully Funded

PhD position summary/title: PhD 6/8 XCARCITY Integrated Transport Networks – Develop a multimodal multi-criteria optimisation model

In the XCARCITY Project we will develop realistic digital replicas of car-low areas in Amsterdam, Almere Pampus and the Metropolitan Region Rotterdam-The Hague. We will use these ‘digital twins’ to study how people use different smart mobility services. This will help cities, area developers and mobility providers to make informed decisions about smart mobility, ensuring that the car-low urban regions of the future remain accessible.

Deadline : 21 May 2023

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(41) PhD Degree – Fully Funded

PhD position summary/title: PhD CO2well: Coupled Well-Reservoir model for CO2 and H2 storage

Accurate modelling of gas injection applications in deep subsurface reservoirs is a challenging task. First, the simulation framework should include complex physical phenomena, i.e., thermal-multiphase-chemical flow. The computational models depend on many uncertain reservoir parameters and imprecise measurements which requires a significant number of forward modelling runs for performance optimization or risk assessment. For that, the modelling process should achieve the required level of accuracy, robustness, and efficiency. To satisfy these requirements, we are going to utilize in this project the following methodologies:

Deadline : 21 mei 2023

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(42) PhD Degree – Fully Funded

PhD position summary/title: PhD position Cyber-physical smart grid intrusion detection

InnoCyPES, a European Innovative Training Networks (ITN), funded under H2020 Marie Skłodowska-Curie Actions (MSCA), is recruiting talented, enthusiastic, and ambitious candidates to perform excellent research and achieve breakthroughs in the field of cyber-physical energy systems. InnoCyPES targets the bottlenecks of digital transformation of the current energy system, where the ESRs are expected to study and improve various facets of digitalized and interconnected energy systems. 15 Early-Stage Researchers (ESRs) will enroll in PhD programmes in the InnoCyPES network, consisting of 7 academic and 4 industrial beneficiaries, together with 10 partner organizations.

Deadline : May 21, 2023

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(43) PhD Degree – Fully Funded

PhD position summary/title: PhD Position Design for Values and RRI for Quantum Technologies

The development of quantum technologies takes for a large part place within larger tech companies and is increasingly organised within the borders of global geopolitical blocks. Research and innovation in quantum technology become by this shielding and partitioning less transparent to society, which in turn challenges approaches in ethics of technology aimed at guiding technology development by moral values. This PhD position has as its goal the adjustment of approaches for technology guidance, specifically Design for Values and RRI, in a way that they can also be applied to quantum technologies.

Deadline : 21 May 2023

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(44) PhD Degree – Fully Funded

PhD position summary/title: PhD Position Direct Funding from RWS within the TUD-RWS Collaboration AIO

Future events and negative impacts of climate change need to be investigated using already existing parameters. Upscaling the data for the unforeseeable events whose data that is not yet available, is a major methodological challenge. We aim at deriving a data-driven approach for identifying areas of improvement and appropriate actions. Based on the already existing historical data (in close collaboration and contacts with RWS), the areas that can be affected with future events are identified using AI methods. Disruption scenarios need to be introduced. Robust and resilient replanning need to be designed for the road networks in case of disruptions. For this part, using stochastic and robust optimization (within a framework of a multi-objective model), a disruption management framework needs to be introduced for medium term planning of the roads. Long-term adaptation planning for the road networks needs to be developed through different types of interventions and policies.

Deadline : 21 May 2023

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(45) PhD Degree – Fully Funded

PhD position summary/title: PhD Position in Closed Loop Brain Networks

As a PhD student at TU Delft within the DBI 2 program, you aim to obtain fundamental new insights into the closed-loop interactions within the brain and link these to our behaviour. You will design and conduct EEG experiments which enable you to study brain network interactions, by quantifying signal propagation through the brain (4D-EEG methodology), and to validate neural network models of the interacting brain areas. Your findings can be directly translated to studying behaviour in animal models, the design of novel brain stimulators and stimulation paradigms that enable behavioural enhancements in patients. The highly interdisciplinary work requires you to actively build bridges between system identification, control engineering, signal analysis and neurosciences.

Deadline : May 21, 2023

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(46) PhD Degree – Fully Funded

PhD position summary/title: PhD Position Understanding the Quantum World in Quantum Technologies

Research on quantum technologies and their applications is developing rapidly, which implies that an increasing number of people is working on quantum technologies in research institutes, companies, policy departments, education and society at large. This PhD position aims at supporting this development by exploring what understanding of quantum mechanical entities and phenomena researchers, engineers and students have and how this understanding can be improved for more effective engineering and education.

Deadline :  21 May 2023

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(47) PhD Degree – Fully Funded

PhD position summary/title: PhD Position Acoustofluidic single-molecule Nanosystems

In this ERC funded project you will develop a next-generation nanomechanical platform based on sound wave technology to control the transport of single biomolecules in space and time for molecular diagnostic applications. By combining acoustic tweezers and fluorescence microscopy, you will have the opportunity to 1) simulate, design and fabricate layered resonators with optical access; 2) perform correlative acoustophoretic transport and single-molecule imaging; 3) integrate the acoustic nanodevice in a nanopore platform for biosensing experiments. This project is based at the Precision and Microsystems Engineering Department at TU Delft, where you will have access to state-of-the-art facilities (cleanroom, chemistry lab, nanopore lab, optics lab) and equipment to initiate this new line of research. You will be joining a highly interdisciplinary research group with expertise in 2D material nanodevices, scanning acoustic force microscopy, single-molecule imaging and DNA nanotechnology. Hence, working together and communicating with researchers across different fields is an integral part of this position.

Deadline : 20 May 2023

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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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