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 Design for Reliability of Power Electronics
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
(02) 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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(03) PhD Degree – Fully Funded
PhD position summary/title: PhD Position Implementing Smart SiC Power Modules for the Automotive Energy Transition
The Ph.D. candidate will work on a multidisciplinary project and different sciences such as packaging, device, microelectronics, and power electronics. As a member of a big team, he/she will work with different scientists and engineers in different fields. The aim of this research is “Implementing Smart SiC Power Modules for the Automotive Energy Transition.
Deadline : June 15, 2023
(04) PhD Degree – Fully Funded
PhD position summary/title: Phd Candidate for Current Sensing for Power Inverters and Modules
Current sensing is very important for many power conversion systems such as power motor drivers. The conventional way often involves sense resistors that consumes power, or other types of sensors that increase system bulk and cost. In this project, we aim to explore innovative current sensing schemes to sense dynamic currents in power inverters that operates up to MHz frequency range. Wide bandwidth, good accuracy and low hardware cost are important parameters to consider.
Deadline : June 1, 2023,
(05) PhD Degree – Fully Funded
PhD position summary/title: Phd Candidate for Low-power broad-spectrum image sensor with local smart data processing
Image sensors have been used widely in our daily life. In this project, we will develop a low-power image sensor for IoT applications. Two key aspects are critical for this application: low power and local data processing. While the first requirement is very straightforward, the second requirement can be easily more demanding since the image data must be sent out wirelessly in most IoT systems over long distances. To filter out the useful data locally in a smart way, such that the IoT node doesn’t need to spend a lot of power to transmit the data can save significant power. Eventually, the imaging system will be integrated with an energy harvester developed in a parallel project and a Lora module developed from our industrial partner for remote environment monitoring.
Deadline : June 1, 2023,
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(06) 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
(07) PhD Degree – Fully Funded
PhD position summary/title: PhD Position Software Restructuring
We are seeking two PhD Students to join the Spoofax team to (1) extend the theory and application of scope graphs to the specification of programmable software restructurings, (2) develop analogs to scope graphs for capturing and transforming control flow, (3) develop a software restructuring framework for the C++ programming language based on this framework, and (4) validate the restructuring infrastructure through restructuring production C++ code at Philips Healthcare.
Deadline : June 1, 2023
(08) PhD Degree – Fully Funded
PhD position summary/title: PhD Position Maintenance-Aware Multi-Level Control for Ammonia-Powered Ships
The aim of this PhD project is to investigate how automatic control strategies could ensure a high ship system performance under various operating conditions. This requires input from a large number of sensors installed on the system. At the same time, this sensor data will be used to diagnose the system and predict upcoming failures. These insights will, on the one hand, be used to plan maintenance activities (e.g. repair, replace parts) just-in-time, and on the other hand to feed the control system, allowing to adapt the system operational settings (e.g. to reduce the loads on specific parts) to the actual system condition. You will investigate the operational control challenges of the ship concept, for the ship system itself, as well as in relation to the direct surrounding waterway users. The link between operational decision making (during navigation) and decision making for maintenance (typically on a somewhat longer timescale) are hereby considered from an integrated perspective. Of particular importance hereby is how to control the system in unexpected situations involving, e.g., sensor or actuator malfunctioning or unexpected movements of other waterway users.
Deadline : Open until filled
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(09) PhD Degree – Fully Funded
PhD position summary/title: PhD positions in quantum photonics with color centers
We have two open PhD positions at TU Delft in the exciting new area of quantum photonics with color centers for scalable quantum communication and computing.
Deadline : May 31, 2023,
(10) PhD Degree – Fully Funded
PhD position summary/title: PhD position on fluid dynamics, heat and mass transfer in air contactor devices for Direct Air Capture
In this PhD research, the fluid dynamics, heat and mass transfer processes in air contactors will be investigated using computational methods. The optimal topology of the sorbent material to balance pressure drop and capacity will be considered, and efficient heat transfer mechanisms for the desorption phase will be designed. Additionally, the available experimental facilities will be used to validate the results. This research will lead to an improved understanding of the air contactors, and design rules to be used for further scale-up.
Deadline : 15 May 2023
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(11) PhD Degree – Fully Funded
PhD position summary/title: PhD Position Comparison of Different XR Technologies for Pedestrian Behaviour Study
In this PhD project, you will be working on understanding the suitability of applying different XR technologies (i.e., VR, AR, and MR) to study pedestrian behavior. You will create novel metrics from the perspective of pedestrian behavior and human-computer interaction to evaluate the usage of different XR technologies for pedestrian behavior study. It will be done via quantitative and qualitative comparison of different XR technologies from different perspectives, in particular concerning validity, effectiveness, applicability, and level of presence. You will investigate this by developing different XR applications, setting up experiments, as well as collecting and analyzing behavior and physiological data. You will be collaborating with other members of the MXR Lab that work on related projects (e.g., wayfinding behavior, evacuation behavior).
Deadline : 7 May 2023
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(12) PhD Degree – Fully Funded
PhD position summary/title: PhD Design of autonomous transshipment concept for inter-terminal barge operations as part of the MAGPIE project
To flatten the curve of climate change, urgent actions are needed. In 2019 the European Commission (EC) launched the European Green Deal (EGD) strategy to overcome climate change challenges. Complementary to this the Sustainable and Smart Mobility Strategy was published in December 2020. Greening transport is one of the key objectives of the EGD. Transport accounts for 25% of the EU’s greenhouse gas (GHG) emissions. The objective of the EGD is to reduce the GHG emissions of transport by 90% by 2050. Waterborne transport accounts for approximately 13% of EU’s transport GHG emissions, which equals to more than 3% of the total EU GHG emissions.
Deadline : 1 May 2023
(13) PhD Degree – Fully Funded
PhD position summary/title: PhD in Experimental Fluid Dynamics of Microalgae Suspensions
Two Ph.D. positions are available in the project “Flow4Algae”. This experimental project aims to understand the multiscale fluid dynamics of living microalgae suspensions. We are particularly interested in the interplay between flow conditions, cell physiology, and cell growth. Each different project will focus on flow conditions ranging from linear shear flows in microfluidics to weak turbulence. In this project, you will design new multiscale experiments and analytical tools for the different flow regimes. These studies will be conducted in the BioFluids Laboratory in TU Delft and will use the infrastructure in the laboratory, including advanced flow diagnostics (Particle Image Velocimetry, Particle Tracking Velocimetry, and Laser Induced Fluorescence), microscopy (3D tracking multi-view microscopy and Fluorescence), rheology tools, microfluidics, and existing flow dynamics setups.
Deadline :1 May 2023
(14) PhD Degree – Fully Funded
PhD position summary/title: PhD Position Efficient Emerging Memory Devices for Edge Computing
Due to the limitations associated with CMOS technology, great research interest has been directed toward deploying emerging memory devices, such as memristor (MR), in DL solutions. MR enables Computation-in-Memory where data storage and computing can be executed at the same cell. Moreover, analog MR devices are considered great asset for artificial neural networks as efficient mapping of neural network algorithms can be translated to MR operations to achieve MR-based DL system. The efficiency of MR devices is hindered by the nonlinearity and stochasticity of the switching events according to the physical and chemical properties of the used switching/oxide materials. Thus, developing novel MR stacks with enhanced switching characteristics can pave the way toward achieving ultra-low power smart edge computing engines that have the significance to be deployed in a wide spectrum of emerging applications.
Deadline : April 30, 2023
(15) PhD Degree – Fully Funded
PhD position summary/title: PhD position ERC ViSioN: Virus Spread in Networks
The project “Virus Spread in Networks” (ViSioN) is funded by ERC as an Advanced Grant 2020. ViSioN presents a Network Science view on virus spread in networks, in which the duality between the virus transmission process and the contact graph is key. The devastating Corona crisis reveals two major shortcomings in traditional epidemiology. First, it ignores the human contact graph and implicitly assumes a homogeneous population without specific graph structure. Second, most models for the virus spreading process relate to a Markovian setting, with exponential infection and curing times, leading to an exponential decay of the epidemic. Measurements, however, point to significantly different infection and curing time distributions. In addition, digital technology can help in constructing the contact graph and combined with medical testing, all infected can be detected. ViSioN aims to develop the theory of non-Markovian epidemic process on networks, a surprisingly missing element today, because non-Markovian theory is needed to tell, based on the characteristic infection and curing times of the virus, how long a pandemic will last and when the peak occurs. Next, ViSioN will combine all available measurement technologies to construct the best possible contact graph via temporal networking or adaptive networking. Finally, ViSioN will explore how accurately infections can be predicted under partial information of process and contact graph.
Deadline : April 30, 2023
(16) PhD Degree – Fully Funded
PhD position summary/title: PHD POSITION: REDUCING SEABED DISTURBANCE OF FUTURE FISHING GEAR
Beam trawling to catch flatfish species like sole and plaice results in high bycatch rates, high fuel consumption due to contact drag and severe damage to seafloor sediment. As a PhD candidate at Delft University of Technology (TU Delft), you will design new devices to stimulate flat fish to leave the sea bed that minimise energy consumption and seabed impact, while increasing catch efficiency and selectivity. The applied stimuli may be acoustic, hydraulic, mechanical, and optical, or combinations thereof. Your research will be positioned in an interdisciplinary team of the Wageningen University, Wageningen Marine Research and TU Delft. Will you help the fishing sector to become future proof?
Deadline : 24 April 2023
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(17) PhD Degree – Fully Funded
PhD position summary/title: PhD Position in Railway Traffic Management and Automatic Train Operation
In this PhD project you will develop methodology and algorithms to achieve optimal interaction between TMS and ATO for optimised railway operations. In particular, (1) you will develop models and algorithms for dynamically optimizing real-time timetables and train path envelopes considering operational and signalling (ETCS) constraints and multiple objectives of capacity, punctuality and energy consumption in both normal and disturbed operations. (2) You will investigate the potential of dynamic feedback loops between the TMS and ATO, such as actual train positions and predicted train trajectories from the ATO on-board algorithms. (3) You will analyse the impact of different levels of decentralisation of both traffic management and ATO trackside areas. (4) You will assess the developed algorithms using microscopic railway operation simulation.
Deadline : 23 April 2023
(18) 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 April 2023
(19) PhD Degree – Fully Funded
PhD position summary/title: PhD Position Micro-technologies for High-speed Chip Assembly Processes
The growing demand for electronic devices in our society requires the production of billions of chips annually. Part of the production process is a rapid picking up of micro-chips from a wafer and accurately placing them in packages for protection and electrical connection. However, to keep up with the demand, chip assembly must become faster, more accurate and sustainable. This requires radically new assembly concepts and processes. In this large collaborative project with a leading Dutch chip assembly company we investigate new chip assembly methods to achieve these challenging goals. As a PhD researcher you will research, design and test innovative techniques for faster micro-chip handling and accurate placement. We aim to evaluate and demonstrate that our assembly techniques will lead to breakthrough performance in next-generation industrial chip assembly.
Deadline : 20 April 2023.
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(20) PhD Degree – Fully Funded
PhD position summary/title: PhD Position Cooperative and Distributed Data-Driven Control with Applications in Agriculture
This project focuses on the development and application of cooperative and distributed data-driven control approaches in agriculture. Rapid human population growth results in high global food demand. Producing nutrient dense foods with minimal environmental impact has become crucial. As control engineers, our opportunities lie in developing advanced control approaches to increase production efficiency, reduce climate impact, and improve sustainability.
Deadline : 17 April 2023
(21) PhD Degree – Fully Funded
PhD position summary/title: PhD Position Data-driven and Modular control for Controlled Environment Agriculture
This PhD project involves designing data-driven and modular control algorithms to address these challenges in CEA systems. These control algorithms should regulate the indoor temperature, humidity, CO2 concentration, and supplemental light input in CEA systems to maximize plant growth while minimizing energy cost and environmental impact. The goal is to leverage first-principles knowledge as well as advances in machine learning and data-driven control to design a control synthesis procedure specific to CEA applications. We plan to focus on modular approaches that allow us to apply the same low-cost control synthesis procedure to deploy controllers for a variety of CEA systems and plants with similar physics, but different parameters. During the project, we intend to collaborate with industrial partners and Wageningen University and Research (WUR) to test these algorithms on real CEA systems. By reducing the cost to deploy these advanced automation and control algorithms, we can expand the scope of these algorithms and thereby bring significant improvements to the resilience, economics, and sustainability of modern agriculture.
Deadline : 17 April 2023
(22) PhD Degree – Fully Funded
PhD position summary/title: PhD position: Compliant Aerial Robots for Physical Interaction in Challenging Environments
In this project, you will leverage the design of novel compliant limbs paired with centralised control approaches to improve drones’ autonomy in aerial tasks. Compliance will be implemented in the drone’s morphology via the use of articulation, parallel mechanisms, novel actuator designs, soft materials, or bio-inspired motion principles. The goal of the project is to demonstrate the effectiveness of mechanical compliance for dynamic aerial interaction tasks.
Deadline : 16 April 2023
(23) PhD Degree – Fully Funded
PhD position summary/title: PhD in Quantum Nanomechanics
In this project, you will work with a team of researchers in the SteeleLab to try to experimentally answer the question: is it possible to observe the effects of gravity on a quantum superposition of a heavy, mechanical object? To do this, you will be embedded in a team working on coupling mechanical resonators made from silicon nitride membranes to superconducting quantum microwave circuits. Based on a platform pioneered in the group, you will have the opportunity to design, fabricate, and assemble superconducting circuit chips to engineer quantum superpositions of the position of the membrane. Cooling the assembled chips to millikelvin temperatures, you will manipulate and probe the quantum state of the membrane, exploring previously inaccessible regimes of quantum physics. In the project, you have the opportunity to develop skills in superconducting device design, fabrication and measurement, gaining expertise and insight into high-Q superconducting cavities and high-coherence superconducting qubits. You will also develop skills and gain experience working with ultra-high Q mechanical resonators. The SteeleLab is motivated by curiosity-driven experimental research into topics in quantum physics and engineering. In the project, you will have the freedom to, and will be encouraged to, develop your own ideas, engage the team to help you implement them, and test them them using the advanced infrastructure available in the group.
Deadline : 15 April 2023
(24) PhD Degree – Fully Funded
PhD position summary/title: PhD Position Data-enabled systems and control co-design for large-scale wind turbines
In the last decades, the classical control theory has proven its effectiveness in terms of analysis and control (design) methodologies. Control theory has been a key enabler in the realization of complex systems. However, increasing system complexity leads to an increasingly indirect relationship between linear to practically meaningful performance. Moreover, the intricate requirements for system performance complicate controller design through the sole use of the classical control theory. Synergizing established fundamental control with promising data-enabled machine-learning techniques could effectively solve these present-day design challenges.
Deadline : 15 April 2023
(25) PhD Degree – Fully Funded
PhD position summary/title: PhD position Simulation of Scanning Electron Microscope (SEM) images of semiconductor devices
Semiconductor devices continue to get smaller, contain more materials and have increasingly complex geometries. To ensure that the semiconductor device production yields remain high, the accuracy of all metrology methods as are used for process control must be disruptively improved. Metrology with a Scanning electron microscope (SEM) plays a crucial role for process control, and improving the interpretability of SEM signals is essential for further development of the semiconductor industry. Accurate modeling of the beam-sample interaction for real device geometries has to bring the required new insights.
Deadline : 15th of April 2023
(26) PhD Degree – Fully Funded
PhD position summary/title: PhD position Structural Biology of Neurodegeneration
The long-term goal of our research is to understand how neurons form networks in health and disease. We address questions such as: What is the underlying structural basis of synapse formation? What happens at the nanoscale levels in diseased brain? We have recently determined cryo-EM structures of synaptic cell adhesion molecules that reveal part of the molecular recognition code underlying synapse formation. We are now also aiming to understand molecular recognition and synapse formation in a disease context using a combination of protein biochemistry/biophysics, structural biology and mammalian cell biology approaches. The successful applicant will be the driver of a new project concerning detailed structural characterization of neurodegeneration at the neuronal synapse. State-of-the-art equipment, including high-end light and electron microscopes, as well as advanced mammalian cell culture facilities are available in our department. We are an international, growing team of multidisciplinary scientists. We aim for a high impact, supportive environment, where talented people work together to solve neurobiological questions. See also our group website www.dimphnameijerlab.org.
Deadline : 15 April 2023
(27) PhD Degree – Fully Funded
PhD position summary/title: PhD Improving Pluvial Flood Early Warning and Real-Time Flood Extent Mapping
In the NWO Perspective Programme Future FRM Tech (Future Flood Risk Management Technologies for rivers and coasts) four Dutch universities are collaborating with two foreign universities, two knowledge institutes, 15 companies and 9 societal partners to develop flood resilient landscapes for rivers and estuaries as well as technical solutions for water barriers. Within this programme, we have a job opening for an enthusiastic PhD candidate to work on improving pluvial flood early warning and real-time flood extent mapping. The floods of July 2021 in the Heuvelland of Limburg (and in the neighbouring regions of Belgium and Germany) are seen by many stakeholders and citizens as an unprecedented event. The insured damage estimations amount to more than 200 million euros and still today several residents have not been able to return to their homes. Reflecting back on the event with water managers from the Waterboard Limburg, it appeared to be particularly difficult to “nowcast” the flood extent during the event. In this PhD project you will contribute towards improving real-time flood warning and mapping during extreme rainfall and discharge events, based on recent advances in rainfall nowcasting and numerical weather prediction, radar and satellite technology, as well as hydrologic and hydraulic modelling. The knowledge resulting from your research is expected to improve flood early warning and crisis management as well as to reduce damage, not only in the Netherlands but also in other regions of the world prone to pluvial flooding.
Deadline : 14 April 2023
(28) PhD Degree – Fully Funded
PhD position summary/title: PHD Developing Efficient Agent-Based Model for Multi-Region and Multi-Modal Transport
It is well-agreed by experts that it is no longer sustainable to have transport systems relying primarily on privately-owned vehicles to serve the travel demand. Fortunately, emerging technologies have allowed the development of new solutions and services for urban travel. These emerging mobility systems, such as on-demand for-hire vehicles (Uber, Lyft, etc.) and connected and automated vehicles, are becoming part of the urban landscape. To develop policies and management strategies to serve society best, we must understand the interactions of emerging mobility systems with traditional transportation modes, e.g., transit systems and privately-owned vehicles. To do so, we need models that can capture the interaction between transportation modes, their impact on traffic dynamics (travel speed, congestion patterns, etc.), and the impact of traffic dynamics on the mode and departure time choice. Such models will enable policymakers to explore various solutions to transportation challenges. Most current simulation models incorporating multi-modal transport require a lot of data collection and computational costs to simulate a specific network system. Consequently, insights and conclusions are often site-specific and, therefore, can rarely be extended to other regions when studying transport management strategies for high-level policy questions.
Deadline : 11 April 2023
(29) PhD Degree – Fully Funded
PhD position summary/title: PhD Position Develop and Refine Sampling Systems for Water- and Airborne Viruses
As a PhD candidate in this project, you will develop/refine the sampling systems for water- and airborne viruses via ad hoc and longitudinal surveillance of various environmental matrices in transport hubs (airport/aircraft sanitary water, ships, animal manure, animal cages/beddings, surface dust, wastewater). Research challenges are representative sampling and effective and reproducibly capture and extraction of sufficient virus material. Sampling systems will be validated using a MLII experimental setup developed through collaboration between EMC, WUR and TU Delft, applying different environmental conditions. After validation they will be tested in living labs for intelligent pandemic surveillance in the Port of Rotterdam and Schiphol airport, by sampling airport and sanitary wastewater of intercontinental aircrafts, cruise ships and traded animals and their transport environment. You will explore the possibility to rapidly deploy the sampling systems in (anticipated) flooding events to characterize pathogen inputs/dynamics at sites (rivers, lakes, estuaries, storm water overflows) that are at risk of flooding and collect pathogen data to validate pathogen emission and transport models.
Deadline : 10 April 2023
(30) PhD Degree – Fully Funded
PhD position summary/title: PhD cand. AI-supported CO2-low circular design
This PhD project will enhance approaches to circularity in the architecture, engineering, and construction industry by developing an AI-supported decision model for evaluating reuse possibilities of existing buildings and the materials deployed in them. The largest stock of building materials available for circular means is the collection of existing buildings. As they represent a vast amount of embodied energy, repairing, re-programming, transforming, extending, reconfiguring them becomes the prime design assignment. But doing so quite often requires new material and energy consumption. Furthermore, in between full preservation and turning demolition into waste, other options are available: components can be salvaged, materials can be reprocessed and recycled in a variety of ways. Hence, the challenge is to identify the most CO2-low approach.
Deadline :April 9, 2023
(40) PhD Degree – Fully Funded
PhD position summary/title: PhD Position Quantification of Meltwater Storage in Greenland Using a Statistically-Optimal Inversion of Satellite Gravimetry Data
The project will comprise two major parts. In the first part, the PhD candidate will be engaged in a further development of techniques for processing the data from satellite gravimetry mission GRACE and its successor, GRACE Follow-On (GFO). It is proposed to invert GRACE/GFO level-2 data product (monthly sets of spherical harmonic coefficients) into global sets of mass anomalies (the so-called “mascons”). One of the key tasks at this stage will be to develop a statistically-optimal estimation procedure, taking into account stochastic models of errors in the input data. Furthermore, it will be essential to develop a numerically efficient technique to quantify the accuracy of estimated mass anomalies.
In the second part, the PhD candidate will focus on an extraction of the signal associated with meltwater accumulation within the GrIS. To that end, it will be necessary to clean the input data from all the nuisance signals, including those from Glacial Isostatic Adjustment (GIA), SMB, and ice discharge. Furthermore, it will be important to develop the optimal regularization scheme, which can suppress high-frequency noise in the level-2 data product, while preserving spatial features of the signal to be recovered, including its likely discontinuity along the coastal line. Finally, the PhD candidate will analyse and interpret the obtained signal. For instance, it will be instructive to compare the estimated water mass variations with estimates provided by models of ice sheet hydrology, as well as with air temperatures in a given melt season and with variations in ice flow velocities.
Deadline : 9 April 2023
(41) PhD Degree – Fully Funded
PhD position summary/title: PhD Campus NL – internationale modellen voor kennisuitwisseling
Na het succes van onderzoek Campus NL in 2016 start TU Delft’s Campus Research Team onder leiding van Alexandra den Heijer en Monique Arkesteijn vanaf 2023 een 4-jarig Campus NL onderzoeksproces. Wetenschap en praktijk zullen nauw samenwerken in dit proces van kennisdelen. Campus NL heeft als doel de kennis en ervaring van de 14 Nederlandse universiteiten te bundelen, om de hedendaagse uitdagingen op de campus – innovatief, duurzaam, betaalbaar, inspirerend, doelmatig en gezond – samen te kunnen tackelen en het campusmanagement binnen elk van de universiteiten (nog) effectiever en efficiënter te kunnen organiseren.
Deadline : 2 april 2023
(42) PhD Degree – Fully Funded
PhD position summary/title: PhD data driven spatial scenarios for healthy public buildings and environments
The selected PhD candidate will collect relevant data on the design and construction of healthy buildings, taking a long-term perspective. This data research will facilitate understanding of complex spatial, social and cultural conditions that have deep historical roots and are often embedded in path dependencies. The PhD candidate will develop a scientifically balanced method for improving the quality of the living environment to future use through creative (re)design. They will work closely with the scientific staff to interpret the data needed for a comprehensive assessment of public health as a foundation for data-driven design interventions. Design of environments and spaces based on long-term investigation on health can stimulate the creation of healthy spatial conditions as the foundation for the design disciplines to confront new urgent problems: climate change, increasing inequality, limited access to resources and public health.
Deadline : April 2, 2023
(43) 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 : April 2, 2023,
(44) PhD Degree – Fully Funded
PhD position summary/title: PhD position on Heat Management in CO2 Electrolysis
In this PhD project, you will study the temperature distribution and heat fluxes in a state-of-the-art CO2 electrolyzer at several scales. Your work will be mainly experimental, using our optical and conducting sensors for in situ temperature mapping, in combination with our electrochemical techniques for analysing the cell performance and measuring product formation. You will design and investigate strategies, and engineer designs, to control the temperature within electrolyzers to boost the utility of the technology.
Deadline : 2 April 2023
(45) PhD Degree – Fully Funded
PhD position summary/title: PhD position on Hydrogen generation via Seawater Electrolysis
Our group has wide experience in electrochemical conversion, such as water electrolysis, and water treatment, such as bipolar membrane electrodialysis. Initial tests for seawater electrolysis have been performed, and main challenges have been identified. In this PhD project, you will develop strategies for longer catalyst lifetime and in situ pH conditioning of the seawater. You will focus on designing the (membrane-based) flow cells, making new electrodes, and analysing the stability in seawater electrolysis. Your activities will include process design (flow strategies, cell engineering), investigation the performance of different configurations and study the effect of new electrode synthesis techniques on the stability of the process. We will work in a team with 2 PhD candidates, 3 researchers/engineers from permanent technical staff and 4 companies (key partner SwitcH2 offshore) in a collaborative project. The PhD position is funded for 4 years. You will be positioned in the research group of David Vermaas. The other researchers in the group (approximately 10 PhD/postdocs, 10 MSc students) investigate related electrochemical processes, and we foster the interaction between researchers in the group.
Deadline :2 April 2023
(46) PhD Degree – Fully Funded
PhD position summary/title: PhD position in reliable deep reinforcement learning
Are you interested in machine learning for intelligent decision making? Would you like to overcome fundamental challenges and bridge the gap to physical agents like robots, autonomous cars or automated factories? Create new cutting edge neural network architectures to empirically solve theoretical problems in artificial intelligence? Think about broader implications and practical applications?
Deadline : March 31, 2023
(47) PhD Degree – Fully Funded
PhD position summary/title: Doctoral Candidate (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 : Open until filled
(48) PhD Degree – Fully Funded
PhD position summary/title: PhD Position Adaptive/Collaborative Weather Radar Networking – Faculty CEG
We seek a motivated PhD student to work on a 4-year NWO funded project called SMARTER (Strategic Monitoring of Atmospheric Threats using Enhanced Radar). The goal of this project is to develop a new adaptive and collaborative weather radar network for the Netherlands in which individual radars can adapt their behavior and react (in real-time) to what the other sensors in the network are seeing or doing. This is an open challenge in the current literature, that can be applied also to other scenarios of radar-based surveillance of manmade objects and not only to atmospheric phenomena. Compared to traditional radar networks in which each radar follows a fixed, predefined measurement plan, adaptive networks offer substantial advantages for high-resolution monitoring of rapidly developing localized phenomena, such as heavy rain and hail.
Deadline : 31 March 2023
(49) PhD Degree – Fully Funded
PhD position summary/title: PhD position Data and modelling for high quality drinking water supply
The PhD candidate will work under the EU funded ToDrinQ project. The overall objective of the ToDrinQ project is to support the implementation of the revised Drinking Water Directive and to significantly enhance the scientific and technical knowledge on drinking water quality protection, monitoring and treatment by developing and testing a compendium of modular complementary innovations, including novel real time sensing and water quality parameters technologies, and interoperable, easy to deploy decision tools that support resilient, evidence-based treatment plant design and improved overall water system operational awareness and risk-based response.
Deadline : 31 March 2023
(50) PhD Degree – Fully Funded
PhD position summary/title: PhD Position Hydrometallurgical Recovery of Critical Resources From Next Generation Electronics
This PhD position is part of the Dutch national project Circular Circuits, funded by NWO. Circular Circuits is a multidisciplinary collaborative research project focused on developing a fully circular generation of electronics.It will develop solutions to overcome technical, economic and societal bottlenecks for lifetime extension, reuse, repair, refurbishment and recycling through the development of a new generation of electronic components, product-service design and advanced recycling technology. Circular innovations will result in an elimination of the concept of e-waste and to substantial savings of (critical) raw materials and energy. The programme is executed by a large consortium of academic research groups and associated industrial partners.The ambition of the project is to develop a fully circular generation of electronics on a component, printed circuit board (PCB) and product level:
Deadline : 31 March 2023
(51) PhD Degree – Fully Funded
PhD position summary/title: PhD Position Identifying and Efficient Removing Copper From Steel Scrap
To meet the national climate target and reduce the global greenhouse gas emissions by 2030 and 2050, the Dutch steel industry has committed to make CO2-neutral steel by using hydrogen and also make the production process more sustainable by maximising the recycling of steel scrap. Copper can enter into the steel melt from scrap, and is a detrimental element unwanted in most steel grades, that can only be tolerated at very low concentrations. Due to the increasing demand for circularity and climate change mitigation, the amount of recycled scrap in steel production is expected to increase in coming years. Consequently, more copper, which is present in the scrap with increasing amounts, will enter to the steel. Currently, copper cannot be removed from steel by oxidation refining once it is dissolved in liquid steel. This leads to a critical limitation of increasing the scrap input in steelmaking, hampering its circularity.
Deadline : 31 March 2023
(52) PhD Degree – Fully Funded
PhD position summary/title: PhD Position in Artificial Intelligence and Sensor Development for Chemical Processes
In this PhD project, you will develop novel tools for the operation of chemical processes with AI. The project is the beginning of a long-term collaboration with industrial partners that provide operational data and process information. Also, you will get access to a pilot plant that will facilitate the development of AI methods and new inline sensor development. You will use the operational data and process topology information to develop a digital twin for optimal operation. The process of interest is a spray drying process. Spray drying is one of the most applied methods in the food, chemical, and pharmaceutical industries to continuously transform liquid-solid mixtures (slurries) into solid particles.
Deadline : 31-03-2023
(53) PhD Degree – Fully Funded
PhD position summary/title: PhD Position Process Safety Assessment and Management for Ammonia-Powered Ships
In this project, the PhD candidate is expected to develop a risk-based or resilience-based approach for designing safety measures for handling various internal or external disruptions. Safety concepts, including segregation, double barriers, leakage detection, leakage isolation, etc will be evaluated via the framework. The opportunity of implementing the Safe-by-Design approach in ammonia storage, transport, and bunkering on board will be explored. This helps to reduce reliance on add-on safety and procedural measures. Major accident scenarios such as ship collisions and groundings will also be studied. Furthermore, adapation and recovery capabilities in the disruptive scenarios of the Ammonia-fueled ships will also be studied.
Deadline : 31 March 2023
(54) PhD Degree – Fully Funded
PhD position summary/title: PhD position SuperGPS-2 : Accurate positioning and time-transfer using virtual ultra-wideband radio signals
This research project aims to develop a robust and efficient terrestrial system for accurate positioning and time-transfer, using virtual ultra-wideband radio signals, which can serve as a backup and complement to GNSS (Global Navigation Satellite System) in environments with reduced GNSS availability. The virtual ultra-wideband approach allows for a limited demand for expensive radio frequency spectrum and time resources by using multiband signals, and through flexible signal design, straightforward implementation and integration with current and new generation telecommunications standards, such as 5G, are expected.
Deadline :March 31, 2023
(55) PhD Degree – Fully Funded
PhD position summary/title: PhD Position Surface Oxidation and Emmisivity Control in Advanced High Strength Steel Production
The development of advanced high strength steels has made cars considerably safer and lighter. The weight savings for a modern typical family car, when advanced high strength steel is used, results in 3 – 4.5 tonnes of less CO2 emitted during the total life cycle. To optimise the production process of advanced high strength steels emissivity variations caused by oxidation are to be considered. This PhD research aims at modeling emissivity such emissivity variations of the product can be predicted. This allows smoother process operation, resulting in reduction of energy use, extended lifetime of production equipment like furnace burners and reduction of product rejects. In parallel a PhD reseacher will develop a measurement technique to assess the emissivity of the steel surface in the production line.
Deadline : 31 March 2023
(56) PhD Degree – Fully Funded
PhD position summary/title: PhD position Transport Simulations of Disease Spread to Support Early-Warning Systems
The COVID-19 pandemic has clearly shown that when information on disease spread is available early, more effective policy measures can be taken. Right now, the prevalence of a disease is only visible when the number of symptomatic patients rises above a certain threshold or when hospitalizations go up. At that moment, it is already quite late to apply effective interventions. PCR-testing of sewage samples has shown to be a good indicator of the spread of a disease in earlier stages, but we want to move even earlier than that. Most diseases enter the country via persons or animals travelling through transport hubs such as ports, airports, and major train stations. When applying the sampling of sewage to ships, airplanes, and trains, it might be possible to get an indication of the entrance of a pathogen into the country much earlier.
Deadline :31 March 2023
(57) PhD Degree – Fully Funded
PhD position summary/title: PhD position Visual Analytics for Fine Arts Analysis and Simulation
The successful candidate will continue this collaboration with several possible topics such as the identification of layering structures in paintings, reasoning on the aging process of identified pigments, orthe simulation of different lighting conditions. For this, we work with hyperspectral and other high-dimensional imaging data modalities. Besides workflows and design of visual representations, the project will provide different opportunities to work on methodological improvements forthe analysis of this data. An example is the adaptation of dimensionality reduction algorithmsfor information visualization or the improvement of the acquisition process by (partially) predicting modalities using machine learning methods.
Deadline : March 31, 2023
(58) PhD Degree – Fully Funded
PhD position summary/title: PhD Positions Energy-efficient Computation-In-Memory applications
Position 1: SRAM-based CIM circuit and architecture design for edge applications: In this position the candidate will explore different circuit and architectural design techniques to develop accurate and energy-efficient SRAM-based CIM for edge AI applications. The candidate will also develop different solutions to address the challenges of SRAM-based CIM.
Position 2: Memristive-based CIM circuit and architecture design: In this position the candidate will develop different circuit and architecture designs utilizing memristive devices such as Phase Changing Memory (PCM) and STT-MRAM devices. The candidate will also develop different solutions to address the challenges of PCM and improve the energy efficiency.
Position 3: CIM-based full system design: In this position the candidate will explore novel methodologies and tools for full-system, application centric design. Close collaboration with application experts, e g. from healthcare and edge AI, as well as with CIM circuit researchers will be required to propose novel, end-to-end full system solutions. The candidate will also develop precise simulation models and new design methodologies with the focus on ultra-low energy consumption.
Deadline : March 30, 2023
(59) PhD Degree – Fully Funded
PhD position summary/title: PhD CO2up: Multiscale representation of gas injection into subsurface reservoirs
In this research project we propose to utilize an Operator-Based Linearization (OBL) approach to multiscale representation of the multicomponent multiphase flow in subsurface reservoirs. The advantage is that a conventional two-stage upscaling approach which includes multiphase flow and compositional effects reconstruction (either using transport coefficient or non-equilibrium phase behaviour) can be replaced by a uniform reconstruction of the convective operators.
Deadline : 29 March 2023
(60) PhD Degree – Fully Funded
PhD position summary/title: PhD position in energy market design for a net-zero world
In this PhD project, we draw inspiration from today’s overheated markets to study novel integrated energy market designs. We focus on the redesign of electricity, natural gas and hydrogen markets, ensuring they are fit for a net-zero world dominated by near zero-marginal cost variable renewable energy sources. This requires developing efficient, integrated market designs, providing the required price signals for an efficient operation of and investment in our energy systems, across energy vectors. At the same time, they should allow consumers and producers to hedge and share their financial risk, providing resiliency with respect to shocks.
Deadline : March 29, 2023
(61) PhD Degree – Fully Funded
PhD position summary/title: PhD Position in Components of Thermal Management Systems for Sustainable Aviation
In this project, the Propulsion and Power group teams up with Aeronamic and NLR with the objective of developing breakthrough technologies to tackle the critical challenges of providing thermal management and air supply to hydrogen fuel cell systems for propulsion and power. The thermal management activities involve experimental and numerical studies on systems and components of the unique ORCHID and IRIS setups operated by the group. The ORCHID rig implements a recuperated organic Rankine cycle system and includes two test sections, one for the testing of high-speed ORC turbines, and one for fundamental gasdynamic studies on flows expanding in a convergent-divergent nozzle. An ORC system can be used to convert thermal energy into additional electrical power. The IRIS implements an inverse organic Rankine cycle and provides a test section for high-speed compressor and another for the testing of condensers. The inverse ORC system, also called vapor compression cycle system, provides cooling.
Deadline : 27 March 2023
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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