Are you holding Master’s degree and looking for PhD positions – Fully Funded PhD Programs in Europe? Delft University of Technology (TU Delft), Netherlands inviting application for funded PhD Programs or fully funded PhD Scholarship. Delft University of Technology (TU Delft) is one of the largest university in the world with thousands of employees, students, and research scientists are involved in the innovation of science and technology daily.
Delft University of Technology (TU Delft) has huge a campus in Netherlands and widely known as for its contribution in top notch education and research. The contribution of Delft University of Technology (TU Delft), Netherlands is not only limited to natural sciences and engineering but it also offers high quality research as well as higher education in bio-medical sciences, social sciences, humanities, psychology, education, architecture etc.
1. PhD position: computational analysis of stem cell production in bioreactors
Summary of Doctoral Project:
Blood is essential for oxygen transport, wound healing, and defence against pathogens. Short-lived mature blood cells are constantly replenished by hematopoietic stem cells (HSCs) throughout life. For many blood-related ailments, blood transfusion is often the only therapeutic option, and stem cell transplantation the only curative treatment for severe anemias. Unfortunately, a lack of immune-matched cells often hampers these therapies. The TRACER consortium works on studying disease mechanisms as well as the production of mature bloodcells/HSCs from gene-corrected induced pleuripotent stem-cells for therapeutic purposes. The team at TU Delft will focus on development of bioreactor technology for reliable high-density, low cost stem cell production for blood transfusion and curative applications. The team will consist of two PhD students, of which the current vacancy focuses on process modeling and simulation, whereas the prospective colleague will work on experimental cultivation and process monitoring/control. Within this project, you will actively work together with all partners, particularly Dutch blood bank Sanquin and Gethinge-Applikon for bioreactor/process development.
Last Application Date: 25 June 2022
2. PhD position in membraneless water electrolysis
Summary of Doctoral Project:
The goal will be to create, test, and optimize membraneless electrolyzer systems that allow high flow velocities and energy efficiencies. Studying the complex interaction between dissolved hydrogen, bubbles, and high liquid velocities will be an important point of investigation. The transport of dissolved gas and bubbles will be studied through optical and electrochemical means. Besides these scientific aspects, engineering aspects like effective gas-liquid separator design will also play a role. The challenges will be primarily experimental in nature, but depending on the interest and skills of the candidate a combination with multiphysics or computational fluid dynamics simulations may be possible. The research will be supervised by dr.ir. Willem Haverkort at the Process & Energy department and is embedded in the wider e-refinery community at Delft University of Technology and the European project consortium. The desired starting date is October 1st.
Last Application Date: June 25th, 2022
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3. PhD position Co-creating and designing a smart family buddy
Summary of Doctoral Project:
By using and further expanding on existing user study methods involving value based design methods, ecosystem analysis, and context mapping, you will co-create the concept development for the ID-Buddy in societal communities with families and a consortium of experts, public and private organizations. The concept development for the platform should bring out and connect diverse values from various stakeholders within the ecosystem of the neighbourhood resulting in increased health literacy, mutual care and healthy lifestyle. Your responsibilities will include a literature review of value based design, iterative development and validation of your own value based design method for a complex multi-stakeholder context involving vulnerable target groups, (collaborative) concept development, design and prototyping activities for the platform development, and writing academic journal articles on the process and results of your work.
Last Application Date: June 27 2022
4. PhD in Smart Control of Turbulence for Sustainable Aviation
Summary of Doctoral Project:
In collaboration with industry, TU Delft has recently started the Turbulence Task Force project. This task force will identify, validate, and prepare for industrial implementation, the most promising and commercially attractive technology for the reduction of turbulent drag in aviation. Within the task force, this PhD project is concerned with the manipulation of the turbulent fluid layer adjacent to the surface, particularly from the perspective of active (flow) control. This implies that the evolving turbulence needs to be manipulated with a wall-based sensing and actuation system with the aim to learn (1) which instantaneous features of the turbulent flow are most receptive to control, and (2) which controlled features result in the greatest performance gain and why. To address these challenges, control techniques, such as extremum-seeking control in multi-input/output systems, possibly combined with real-time implementations of other machine learning methods, are a promising way forward. The work will be mainly experimentally using state-of-the-art (optical) measurements techniques and flow facilities.
Last Application Date: 21 June 2022
5. PhD Position Postural stabilization and motion comfort in automated vehicles
Summary of Doctoral Project:
TU Delft, the Netherlands, invites applications for a PhD student to investigate human postural stabilization in relation to motion perception and motion comfort. Automated driving holds great promise to provide safe and sustainable transport. Automation will allow users to take their eyes off the road, freeing up time for work or leisure activities. This will require high comfort levels achieved by smooth driving styles and innovative interiors. A particular concern is “self-driving car sickness”. A range of theories and models associate motion sickness with motion perception and postural stabilization. Due to a multitude of factors existing models fail to predict motion comfort in automated driving. Effects of 3D motion and the modulating role of vision are not sufficiently captured. The relation between motion comfort and postural stabilization sees little empirical support.
Last Application Date: 30 June 2022
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6. Materials for space
Summary of Doctoral Project:
Radiation damage to materials in space applications poses a serious threat to the safety, durability and reusability of the structural components. The detailed study of structural ceramics degradation under radiation and establishment of degradation mechanisms will provide a solid foundation for future design and optimization of sustainable ceramic based materials for space applications. The supervision will be jointly carried out by Dr. Yinglu Tang, Dr. Santiago Garcia Espallargas and Dr.Rinze Benedictus from Aerospace Engineering of TU Delft. The PhD will explore the following three work packages: WP 1: Synthesis of phase pure ceramic materials It is often accepted that due to the high melting point of ceramics, the synthesis of materials such as ZrB2 and ZrC requires sintering agents, which can facilitate sintering due to their low melting points yet can also lead to oxidation problem at higher temperatures. The research objective is to synthesize single-phase high temperature ceramic material through defect engineering. WP 2: Radiation damage characterization of UHTC
Last Application Date: 30 June, 2022
7. Computational materials modelling for space
Summary of Doctoral Project:
1 PhD position is available under the QAIMS (Quantum-enhanced Artificial Intelligence for sustainable Materials and Structural design in aerospace) lab of the Faculty of Aerospace Engineering of TU Delft. It falls in the exciting interdisciplinary area of Machine Learning (ML), Quantum Computing (QC), and computational materials modelling. When energetic particles interact with materials in space environment, they can cause defects and resultant property degradation. Classical ab initio density functional theory calculations are limited by small scale and short time whereas classical molecular dynamics are limited by insufficient accuracy. Machine learning is expected to bridge the gap by enabling a more accurate description of a material at atomic level at a relatively low computational cost. This PhD project is about to take this idea a step further, namely enhancing the AI models using QC to allow them to learn and predict “quantum mechanically”.
Last Application Date: 30 June, 2022
8. PhD project in operations & maintenance optimization of offshore wind
Summary of Doctoral Project:
Wind energy is set to be a major contributor to the decarbonisation of the energy sector. Offshore wind farms are being built without subsidy, but successful offer prices are predicted to further reduce cost. Operation & Maintenance (O&M) can contribute up to 30% of the levelized cost of energy (LCOE) of offshore wind. Making decisions for planning and scheduling of maintenance is important and plays a critical role in reducing the cost and realizing the scale of wind power. Blade failure reduces turbine yield or in extreme cases stops turbine operation and requires replacement which is a time-consuming and costly operation involving heavy lift vessels offshore. The NWO project Holi-DOCTOR aims to investigate monitoring techniques including sound and vibration measurements and infrared measurements in a holistic framework. Timely intervention informed by effective monitoring can aid remedial action, avoiding full replacement and finally help optimize O&M schedules and improve the efficiency of wind turbine maintenance.
Last Application Date: July 10, 2022
9. PhD in Biophysics
Summary of Doctoral Project:
We are looking for a highly motivated student with significant physics or engineering research experience to develop a novel sequencing technique that probes the protein profile using aptamers with sub-nanometre resolution. This high-resolution method, combined with nanotechnology, will be used for analysing proteoforms, particularly, splicing isoforms and post-translational modifications. We will be able to sequence single proteins and their proteoforms and therefore create the opportunity for single-cell proteomics and screening for on-site medical diagnostics. It will lead to a revolution in biophysics, biotechnology, and healthcare. Do you want to join developing this ground-breaking technology? Check the application procedure below.
Last Application Date: 15 July 2022
10. PhD Position Software Restructuring
Summary of Doctoral Project:
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. We are looking for versatile candidates who can contribute to the development of theoretical foundations, design of meta-languages, implementation and integration of languages and libraries in the language workbench, and evaluate the new techniques in case studies.
Last Application Date: 31 December 2022
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11. PhD position in Explainable Combinatorial Optimisation
Summary of Doctoral Project:
We are seeking a highly motivated candidate to work on the intersection between combinatorial optimisation, AI, and explainability. Modern optimisation methods are invaluable in assisting decision-makers in complex problems with difficult constraints, e.g., scheduling, production-planning, logistics, and transportation. However a glaring problem is that, even though the final solutions provided by the algorithms may be optimised, it may be difficult to understand the reasoning behind the algorithmic decisions. This is particularly a problem in cases where the algorithm is expected to interact with a human decision-maker who needs to justify the decisions to relevant stakeholders. The goal of the project is to develop novel combinatorial optimisation methods that not only exhibit excellent performance, but also concisely break down the main factors behind automated decision-making in a way that is easy for humans to interpret.
Last Application Date: June 13, 2022
12. PhD researcher on the miniaturisation and integration of modular flow control components for microfluidic systems
Summary of Doctoral Project:
Microfluidics technology is an important enabler for many applications in life-sciences, health care and chemical / pharma industry. An example is the upcoming field of Organ-On-Chip (OOC), in which organ functions and their biophysical environment are mimicked on a chip. The processes of organ and medium interaction are studied on a chip, reducing the need for animal testing. However, current microfluidics technology, particularly the ancillary components like pumps, flow controllers and switch-valves are all bulky and this is a bottleneck in creating complex microfluidic systems. There are examples of small form factor components, however, these are often not designed from a modular integration perspective. We are on a mission to build a novel generic design system that uses a modular approach consisting of miniaturized flow control components that allows easy configuration, integration and operation of complex microfluidic systems for research and industrial purposes.
Last Application Date: June 15, 2022
13. PhD Position Interaction-Aware Motion Planning
Summary of Doctoral Project:
In this project we will take a holistic view on the interaction of mobile robots and humans, where we will consider multiple spatio-temporal granularities ranging from individual interactions to the interaction of a robot fleet with the humans in a city, and from short term (local) to long term (global) effects of the interaction. You will employ reinforcement learning tools to build local and global intuition models of the interaction between robots and their environment. Then, you will integrate these intuition models in uncertainty-aware trajectory optimization methods to compute safe interaction-aware trajectories for mobile robots. Within the project, you will be responsible for motion planning and collaborate with other researchers responsible for task assignment and perception. Thus, you will make a fundamental contribution towards intuitive multi-robot interaction, making it possible for teams of mobile robots to safely interact in human-centric environments and enabling a new level of automation in factories and cities.
Last Application Date: June 15th, 2022
14. PhD: Dynamics of proteins in cell nuclei studied by super-resolution microscopy
Summary of Doctoral Project:
In order to keep human bodies healthy, cells have to continuously adjust to stress, such as DNA damage, nutrient deficiency and mechanical stress. Recently, the lamin family of cytoskeletal proteins have emerged as a key regulator of cell response to intrinsic and environmental stimuli. Lamins are the main architectural proteins of the nucleus and form a fibrous, highly stable meshwork underlying the inner nuclear membrane. The cell’s stress response triggers one of the lamin types, prelamin A, to accumulate, which affects important cellular processes such as cell cycle progression, DNA-replication, chromatin remodeling and senescence. Fundamental knowledge on the lamin-dependent regulatory mechanism that controls DNA replication, and replication fork stalling leading to cell senescence, is still lacking. DNA replication is a process fundamental to all life, and lamins have been found to regulate DNA replication through local chromosome compaction and direct interaction with the replication proteins. Furthermore, during S phase, the nucleoplasmic distribution of lamins changes with altering patterns of DNA replication.
Last Application Date: May 31st, 2022
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15. PhD: Unlocking ultrafast spectroscopy to observe catalytic conversions
Summary of Doctoral Project:
The Chinese sign for Catalyst is marriage broker, as it decreases the energy for two molecules to react. Many intermediates in the reaction process are too short-lived to detect. The aim is here, to heat the catalysts extremely fast with femtosecond laser pulses to jumpstart the reaction such that the intermediates can be detected with pump-probe spectroscopy. The Dutch Research Foundation NWO has awarded a prestigious VIDI grant to Monique A. van der Veen for this research. Catalysts, especially solid, heterogeneous catalysts are the workhorses of the chemical industry as they lower the energy needed for a reaction to occur. To this end we need to develop a tremendous amount of new catalytic processes that are energy-efficient and selective. Detailed insight into the reaction mechanism can accelerate the development of radically new catalytic processes.
Last Application Date: June 20, 2022
16. PhD: Developing metal-organic frameworks for Odour-Based Selective Recognition of Veterinary Disease
Summary of Doctoral Project:
This PhD project specifically entails the development of metal-organic frameworks that will selectively adsorb the targeted odour molecules, and by which adsorption leads to a change in the properties of the MOF that can detected by the sensor platform (electrical capacity, mechanical resonance and photonic properties). You will also develop convenient deposition techniques to achieve thin MOF-layers on the sensor platforms. You will collaborate and communicate with a large variety of scientists (material scientists, analytical chemists, electrical engineers, veterinary scientists, data scientists and social scientists). The project will be supervised by dr. ir. Monique A. van der Veen. The van der Veen group focuses on the development of hybrid materials for separation, catalysis and electronics. The group is part of the Catalysis Engineering section at the Department of Chemical Engineering of TU Delft.
Last Application Date: June 20, 2022
17. PhD Position in Data Driven Fault Diagnosis for Electric Vehicles
Summary of Doctoral Project:
You will carry out research as part of the project SPARSITY, which is an academic-industrial collaboration between the Delft Center for Systems and Control (TU Delft, The netherlands) and Volvo Group, a world-leading automotive company based in Gothenburg (Sweden). You will be supervised by Dr. Riccardo Ferrari, who is leading a young, dynamic and diverse group of researchers focusing on fault tolerant control, with applications in automotive and aerospace diagnosis, in safety and security of industrial control systems and in renewable energy generation. You will be co-supervised and mentored by Prof. Michel Verhaegen, a renown expert in system identification methods and an ERC grantee.
Last Application Date: June 20, 2022
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18. PhD Aligning citizens with clean energy investment and renovation decisions- from transaction costs and behavioural perspective
Summary of Doctoral Project:
We are hiring 2 doctoral candidates, who will work on the Human System of a larger NWA-ORC project- ALIGN4energy, together with a broad interdisciplinary consortium of universities, and public and private organizations. The 4-year project ALIGN4Energy, funded by the Netherlands Science Foundation (NWO), aims to contribute to deploying clean energy technologies in residential homes rapidly and at scale. The ALIGN4energy consortium provides a total of 11 PhD positions aimed to simultaneously address the citizens, policy, and business perspectives of the residential energy transition. These 2 PhD positions offered by TU Delft will be hosted at the Department of Management in the Built Environment, at the Faculty of Architecture and the Built Environment. These two PhDs will be working on workpackage 1 on Human System of the ALIGN4energ project.
Last Application Date: June 20, 2022
19. PhD position in energy system modelling and modelling weather-dependent variability (4 years)
Summary of Doctoral Project:
The Energy and Industry section in the Department of Engineering Systems and Services are looking for a new PhD candidate to start in autumn/winter 2022/23 (starting date flexible and based on mutual agreement). Your main supervisor will be Stefan Pfenninger [https://www.pfenninger.org/], Assistant Professor of Energy Systems Modelling. The research area we expect you to work on is model-based guidance on large-scale infrastructure planning decisions for the energy transition in Europe and beyond, related especially to fuels and gas infrastructure, including the role of hydrogen, bioenergy, natural gas, CO2 capture, utilisation and transport, and the possible roles of all these in achieving a fully climate-neutral European energy system. We are also particularly interested in candidates that want to combine this with work on the spatio-temporal variability of electricity generation and energy demand, and have demonstrable skills for this, e.g. working with meteorological reanalyses, other measured weather data, or high-resolution climate models.
Last Application Date: 24 June 2022
20. PhD Position Foundations of Stochastics Partial Differential Equations
Summary of Doctoral Project:
At the Delft Institute for Applied Mathematics (DIAM), part of Delft University of Technology (TU Delft), NL, two full-time PhD positions in the mathematical analysis of stochastic partial differential equations are offered. The PhD candidate will be supervised by Prof.dr.ir. M.C. Veraar (part of the Analysis Group at DIAM). The focus of both of the projects is on well-posedness, regularity, long-time behavior, large deviations and/or approximation of solutions to parabolic and hyperbolic SPDEs of semi- and quasi-linear type. A background in Probability Theory and/or Analysis is preferable.
Last Application Date: 24 June 2022
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21. PhD Renovation technologies for energy transition in underprivileged neighbourhoods
Summary of Doctoral Project:
We are hiring a doctoral candidate on “Multi-criteria evaluation of renovation technologies implementation in underprivileged neighbourhoods”. The position is part of the NWO project “justPREPARE – Putting REsident Practices And REsidential areas at the centre of a JUST and effective energy transition in underprivileged neighbourhoods.” We are looking for a person with a relevant Master degree and an interest in the energy transition in the built environment, focussing on the role of energy renovation of residential buildings. You should have knowledge of construction, building physics and energy simulations and have a good understanding of the role of the residents in the renovation process and the financial implications. You will work on a highly societal and scientific relevant topic, embedded in a large research project with academic and social partners.
Last Application Date: June 1, 2022
22. PhD position Wall bounded turbulence: from the instantaneous to the statistical
Summary of Doctoral Project:
One of the still open questions in wall turbulence is to link instantaneous flow features with the currently available wealth of statistical insights: how are these structures “put together” in time in order to create the well-established statistical picture? This is especially crucial in high-Reynolds number flows, which are still unattainable by direct numerical simulations and for which time-resolved experimental data are relatively scarce. The goal of this PhD project is to fill this gap in available data but also in the subsequent analysis.The focus will be coherent structures in the logarithmic and wake regions and specifically their time footprint and evolution. The results will be pivotal both from a fundamental standpoint but more importantly as input for fine-tuning low-order models and optimizing drag reduction strategies, many of which still rely on statistical information.
Last Application Date: June 1st, 2022
23. PhD position on Analysis and control of max-min-plus-scaling systems in a discrete-event framework
Summary of Doctoral Project:
Discrete-event systems form a large class of dynamic systems in which the evolution of the system is driven by the occurrence of certain discrete events. This in contrast to discrete-time systems where the evolution depends on the clock. Discrete-event systems with only synchronization and no concurrency can be modeled by a max-plus linear model. This is a model in which the system equation consists of max and plus operations (e.g. paper flow in a printer or predictive scheduling for container terminals). When competition plays a role (e.g. first-come-first-serve mechanisms) we obtain a max-min-plus system. This is a model in which the system equation consists of max, min, and plus operations (e.g. product flow in a production system with competition). Occasionally the processing times in a system will depend on external parameters or previous values of the state and input. Such a system can written as a max-plus linear-parameter-varying system, or equivalently as a max-min-plus-scaling (MMPS) system (e.g. traffic management on an urban railway line).
Last Application Date: 1 June 2022
24. PhD position Data-driven control of gas bubble drag reduction in liquid wall bounded flows
Summary of Doctoral Project:
In this Ph.D. project, you will work on developing state-of-the-art data-driven models for reduced-order modeling of such flows, which will enable successful closed-loop control of your design. To achieve this ambitious goal, you will exploit various flow measurement techniques (including particle image velocimetry and pressure and drag measurements) to ensure optimal data collection and representation of different flow states. As a PhD student, you will be part of two vibrant teams of researchers within the Multiphase Systems (MS) and Learning for Autonomous Control (LAC) sections, with diverse backgrounds and expertise. Your supervisors will be Dr. Angeliki Laskari and Dr. Cosimo Della Santina within the Process & Energy and Cognitive Robotics Departments.
Last Application Date: 1 June 2022
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25. PhD position Complementarity Mechanisms in Complex Network
Summary of Doctoral Project:
As a Ph.D. student, you will study complementarity mechanisms in complex networks under supervision of Dr. Maksim Kitsak and Prof. Van Mieghem. Your work will be at the intersection of network theory, network embeddings, and network inference. A possible application domain is the Science of Science.
Last Application Date: June 1, 2022
26. PhD positions (3) on Integrated optimization-based and learning-based control of networks with hybrid dynamics
Summary of Doctoral Project:
These 3 PhD projects are 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 by bridging the gap between optimization-based control and learning-based control. The breakthrough idea is to bridge that gap by using piecewise affine models and to unite the optimality of optimization-based control with the on-line tractability of learning-based control. The 3 projects all have a strong fundamental flavor. In addition, applications for the case studies include multi-modal transportation networks and smart multi-energy networks.
Last Application Date: June 5, 2022
27. PhD Position Energy Policy Innovation
Summary of Doctoral Project:
We are looking for a curious, driven, and perseverant PhD candidate to conduct research on energy policy innovation as part of the DECIPHER project. Funded by the EU Horizon program, DECIPHER will create a decision-making framework for holistic assessment of environmental policy alternatives. The dual crises of climate change and biodiversity increase the urgency for the adoption and implementation of efficient, inclusive, and legitimate environmental policies. Mainstream economic methods currently used in the design of environmental policies, however, fail to capture the complexity of the economy-energy-environment nexus. Rather, policy analysis is informed by a narrow set of metrics that do not encompass broader considerations of justice, sustainability, and wellbeing and fail to account for policy feasibility and policy resilience. Moving beyond the state-of-the-art, DECIPHER will employ an interdisciplinary, systems approach to develop and apply a decision-making framework for ‘real world’ assessment of flagship EU policies. By integrating co-creation, policy sciences’ theories, empirical analysis, and biophysical, economic, and energy modelling, the project will significantly improve environmental decision-making on biodiversity and climate change and, thereby, enhance environmental policy effectiveness.
Last Application Date: 5 June 2022
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28. PhD position Open Strategizing for Infrastructures in Transition
Summary of Doctoral Project:
We are seeking a PhD candidate for the research project ‘Open Strategizing for Infrastructures in Transition’ (PRONTO). To shape socio-technical transitions, infrastructure agencies need to develop coordinated cross-sectoral infrastructure strategies. This requires infrastructure agencies to open-up their processes of strategizing. As a researcher in the PRONTO project, you will investigate what practices of open strategizing are enacted by infrastructure agencies and help develop governance and modelling approaches in support of these practices. The PRONTO project is funded by NWO and NGinfra and is a collaboration with University of Twente, University of Groningen, and Radboud University with Rijkswaterstaat, ProRail, Vitens, Alliander, Port of Rotterdam, and the province North-Holland.
Last Application Date: 8-06-2022
29. AiBLE Lab 2 PhD Positions
Summary of Doctoral Project:
TU Delft is a top tier university and is exceedingly active in the field of Artificial intelligence. The AiBLE lab will investigate how AI can be developed and used in complex real-world scenarios to help reach effective, transparent, and lasting design decisions and agreements. In AiBLE we also incorporate human feedback in the loop to iteratively improve decision-making and drive behavior changes. AiBLE will focus on two important challenges in the built environment: energy transition and circularity. By using AI to augment human intelligence and support negotiation continuously while adapting to and driving human behaviors, our lab will close the policy-practice gap responsibly and inclusively. We also aim for the acceleration of adoption and acceptance of responsible and inclusive AI. AiBLE has 4 PhD positions (for position 2 and 3 we have already selected new colleagues), we currently are actively recruiting for position 1 and 4.
Last Application Date: June 10, 2022
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30. PhD position: Behavioural factors in security incident response
Summary of Doctoral Project:
We are seeking a motivated PhD applicant to work with us on understanding how to facilitate an effective system operator response to incidents. This will involve not only analysis of the circumstances which influence operator responses to warnings, but also working processes, situational awareness and prioritization, and other relevant workplace factors. The project will involve engagement with energy system operators, through interviews, surveys, and scenario exercises, with the potential for observational studies and secondments as the project progresses. These activities will inform effective, secure working practices and recommendations for system operators in control rooms.
Last Application Date: 13-06-2022
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31. PhD Position Optical Methodologies for Protein Sequencing
Summary of Doctoral Project:
Genome sequencing has become a standard technology in biomedical research. The technique is used to diagnose inherited diseases, target treatments, and identify health risks. Certain gene variants can increase a person’s risk of diseases such as cancer and heart conditions. This technology makes use of innovative reagents, in combination with an optical microscope. A major drawback of this technology is that it only reveals the genetic baseline of biological processes. The ability to measure the make-up of not only the genome but of proteins and protein expression, would create an enormous scientific opportunity as proteins are at the basis of all biological processes. We envision the realization of such protein sequencing methodology by building on recent developments in super-resolution microscopy. Super-resolution microscopy allows for circumventing the diffraction limit, to visualize otherwise invisible details within the cell. Super-resolution microscopy combines clever optical microscope designs followed by sophisticated image reconstruction.
Last Application Date: June 1st, 2022
32. PhD Position on Learning-based cooperative multi-agent control
Summary of Doctoral Project:
In this PhD project we will develop a framework for multi-agent learning aimed at cooperative control of a group of autonomous systems. More specifically, we address two challenges: (1) developing efficient methods for multi-agent learning in the presence of operational constraints, uncertainty, and at a later stage also memory and communication constraints, and (2) integration of the developed approaches with model-based (multi-level) control for increased performance. In the research we will focus in two classes of systems: linear systems and hybrid systems (in particular piecewise affine systems). The project has a strong fundamental flavor. In addition, applications for the case studies include mapping and control of multiple autonomous underwater robots (this also includes dealing with the limited capabilities and constraints of underwater communication).
Last Application Date: May 31, 2022
33. PhD position Integrated policies and transition pathways for sustainable water management and agriculture
Summary of Doctoral Project:
We are looking for an enthusiastic PhD candidate from the field of public administration, policy sciences, (water) governance or a related field to research the decision-making around sustainability and drought prevention in the Dutch agricultural sector. The position is a for 4-year PhD track, financed by the Dutch Science Foundation (NWO), within the research project AGRICOAST: Climate-resilient agriculture in the Dutch salinizing coastal delta: innovative water management, adaptive agriculture, and promising transition pathways. AGRICOAST intends to develop various water management and water saving solutions to climate-proof agriculture in the Dutch coastal delta. A total of 4 PhD positions & 1 PDEng position is available in varying scientific and engineering disciplines, including the one advertised here.
Last Application Date: 31-5-2022
34. PhD position Flexible Floating Structure Modelling and Analysis
Summary of Doctoral Project:
The transformation of our energy systems from fossil fuel-based to renable-based systems is calling for innovative solutions to harvest renewable energies at land, at sea and in space. Very flexible floating structures (VFFS) have been proposed to unlock the full potential of offshore floating photovoltaics. VFFS follow the wave elevation and allow for large structural deflections. Ballasting systems can prevent wind and currents from folding the leading edge. However, wrinkling is critical for the solar modules and can lead to structural collapse. The overall aim of the multi-disciplinary FlexFloat project, which is a joint effort between the Numerical Analysis group at the Delft Institute of Applied Mathematics (DIAM) and the groups Ship and Offshore Structures, and Ship Hydromechanics at the Department of Maritime and Transport Technology (MTT), is to develop efficient VFFS design tools.
Last Application Date: May 31, 2022
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35. PhD Position Design of new flatfish stimulation devices
Summary of Doctoral Project:
Fisheries targeting sole and plaice typically use heavy tickler chains dragged through the sediment to startle and catch the fish. This technique results in (1) low catch selectivity with high bycatch, (2) high fuel costs owing to high drag, and (3) severe environmental impact (bottom disturbance, CO2 production, and release of pollutants). Therefore, a better fishing technique without tickler chains is required. Supported by the Applied and Engineering Sciences of NWO (the Netherlands Science Foundation), Wageningen University, Wageningen Marine Research, and Delft University of Technology aim to develop new catching techniques that are more efficient with a reduced environmental impact. To help achieving this, the PhD candidate will study the physics of acoustic, optical, hydraulic and mechanical stimuli and based on this knowledge develop appropriately dimensioned actuators.
Last Application Date: May 31, 2022
36. PhD Position Data-driven identification and control of hydrodynamically coupled floating structures
Summary of Doctoral Project:
Offshore wind farms, wave-energy converter arrays, and maneuvering ship convoys all involve hydrodynamically-coupled systems of multiple floating structures. The flow around each structure produces an unsteady wake that can impact neighboring structures, and cause force and kinematic fluctuations. These interactions may reduce operational efficiency, induce fatigue loading and thus maintenance costs, and can even lead to system failure. This four-year PhD project will develop methods for the identification of such dynamic interactions and the design of controllers that mitigate the force fluctuations on hydrodynamically interacting structures. The ultimate goal is to leverage these results to develop harm-minimization strategies that prevent the potential deleterious effects of such wake-structure interactions.
Last Application Date: May, 31th 2022
37. PhD Position Collaborative Control for Autonomous Ships in Multi-Vessel Environments
Summary of Doctoral Project:
Over the last decade autonomous shipping has started to receive significant attention in view of improving efficiency challenges in the transport domain. Nowadays research places many efforts on the technological development and improvement of manoeuvring and intelligent control for individual autonomous ships. At the same time, it is expected that the future autonomous ships will not be operating only by themselves, but will be navigating in (sometimes crowded) multi-vessel environments, encountering numerous other waterway users and infrastructure operators (e.g. in large port areas such as the Port of Rotterdam, or in inner-city waterway networks as found in the city of Amsterdam). Moving towards this future situations in which both autonomous and human-operated ships are operating on and around waterways, the investigation and integration of new ways of interaction between autonomous ships and their environments in control methods, and being able to provide insight in guarantees on transport safety and efficiency in a society with sustainability considerations, become more and more important.
Last Application Date: May 31, 2022
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38. PhD Position CFD and lumped modelling of fluidized bed waste gasification
Summary of Doctoral Project:
The PhD project ‘’Modelling and experimental validation of HTW bubbling fluidized bed gasification’’ is a collaboration between GIDARA Energy and TU Delft. Aim of the gasification process is to generate a syngas which, after cleanup and upgrading, will be suitable for fossil-free methanol production. The goal of this project is to arrive at a simple transient one-dimensional model for the gasifier at GIDARA Energy, with the ability to predict the residence time distribution of gas/solids, the (axial) temperature distribution, and the chemical conversion and selectivity to various products. Focus lies on a research-scale bubbling fluidized bed gasifier operating with solid waste feedstock, e.g. sewage, wood, household and industrial types of solid waste. To arrive at such a model, the output of more detailed Computational Fluid Dynamics models (without reactions) will be analyzed and reduced to simpler equations, after which chemical reactions will be added.
Last Application Date: May 31, 2022
39. PhD position
Summary of Doctoral Project:
This PhD aims at bridging this gap theoretically and empirically, using the Netherlands as a case study. From the pool of existing explanations of economic inequality and urban segregation (such as: assortative mating, selective migration, urban form, contextual effects etc.), which are the most relevant ones to explain economic segregation in cities in general, and in Dutch cities in particular? How do they interact, theoretically and empirically? The idea is to integrate existing multidisciplinary knowledge about economic inequality and urban segregation at three geographical scales: national, urban and individual. More specifically, the first objective of the PhD is to identify the mechanisms which explain the evolution of urban economic segregation in general (through an extensive and multidisciplinary literature review), to select and prioritise them, to analyse their compatibility and their potential interactions (for instance: how different urban forms influence the magnitude of contextual effects).
Last Application Date: May 31st, 2022
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40. PhD Candidate Optomechanics and Space Missions
Summary of Doctoral Project:
In 2016 Breakthrough Prize Foundation announced a $100 million initiative to realize microchip satellite for unmanned interstellar travel. By attaching these microchips to low-mass sails which are meters large and only nanometers thick, these satellites could be accelerated to ultra-fast speeds with lasers. This type of sail material would allow us to shorten times to Alpha Centauri, our nearest star, from 10,000 years to only 20 years – completely changing humanity’s reach within the universe. These unique capbailities that novel sail materials could open, but it’s also recognized by leading experts around the world that the largest challenge will be developing the lightsail. Why is that? Well, if one looks at the microchip, it need to be made smaller in x, y and z – which is in line with the conventional miniaturization we’ve been doing over the last half century. But the lightsails stand as a unique challenge because it’s the only nanoscale components which needs to be expanded to meter scales. Our lab has been pioneering metamaterials with extreme aspect ratio putting us in a unique position to bring this technology within reach.
Last Application Date: June 1st, 2022
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41. PhD position on hematopoietic stem cell cultivation in a bioreactor
Summary of Doctoral Project:
This project is part of a consortium that aims to unravel hereditary anemias using induced pluripotent stem cells (iPSCs) for the purpose of gaining more fundamental knowledge and novel therapies. This consortium focuses on hematopoietic stem cells (HSCs). Mature blood cells are continuously replenished by HSCs to make sure that essential mechanisms remain functional, such as oxygen tranport and defence again pathogens. The production of new blood cells is impaired in a plethora of diseases. Blood transfusion is often the only therapeutic option and stem cell transplantation the only curative treatment. To obtain viable therapies, it is essential to build up know-how on large scale cultivation of iPSC-derived autologous HSC transplantation production. The TU Delft contributes to this consortium with two PhD positions of which one is described in this vacancy. The PhD position in this vacancy is experimental and will establish HSC production at lab-scale. The second PhD position is computational and focussed on employing computational fluid dynamic simulations to design bioreactor cultivations.
Last Application Date: 28 May 2022
42. PhD candidate of Adaptable DEdesign Pathway Transitions (ADEPT)
Summary of Doctoral Project:
How can different infrastructure managers come together to tackle societal and sustainability transitions? How can we design communication and information exchanges to facilitate administrators to plan for the future while responding to everyday challenges? The Faculty of Architecture of Delft University of Technology is looking for a PhD student for a four-year research project called “Adaptable DEdesign Pathway Transitions (ADEPT): Analysing and redesigning responsive communication and information exchanges in infrastructure-in-transitions”. This project is funded by NWO (principal investigator: Dr. Daan Schraven), and is a collaboration between the Faculty of Architecture (ABE), Faculty of Civil Engineering and Geosciences (CITG), Faculty of Technology, Policy and Management (TPM) at TU Delft, as well as the Erasmus Initiative the Dynamics of Inclusive Prosperity at Erasmus University Rotterdam. This PhD position is supervised by Dr Daan Schraven (CITG), Dr Martijn Leijten (TPM) and Prof. Dr. Paul W Chan (ABE, Main Promoter).
Last Application Date: 30 May 2022
43. PhD or Postdoc position on modeling of the atmospheric impacts of aviation emissions
Summary of Doctoral Project:
Aviation emissions adversely impact the environment, contributing both to air pollution and climate effects. The projected growth in aviation emissions and projected decline in emissions from other energy and transportation sectors, result in aviation emissions’ impacts being increasingly important in both absolute terms and relative to other sectors. State-of-the-art atmospheric models that simulate the chemical and physical processes in the atmosphere are employed to assess the resulting atmospheric effects of emissions, as well as to understand the underlying processes and how they may evolve in the future. This position aims to utilise such models, together with observations, to extract metrics applicable in engineering and regulatory decision-making for sustainable aviation. Outcomes of this research are aimed to help guide decisions towards minimising the associated environmental impact of future aircraft and operations.
Last Application Date: 31 May 2022
44. PhD position: Understanding practices and stakeholder experiences of patching security in organizations
Summary of Doctoral Project:
We are looking for a motivated researcher interested in collecting and analyzing various types of data from within the partner organizations—such as interviews, surveys, ticketing systems, and incident logs—to understand the organizational and technical practices around patching. Your degree and experiences could be from social science or an interdisciplinary program, but also from information system, telecommunications or computer science. You could have a background in social and organizational research and be willing to learn about the technical factors at play. Or vice versa: you could be a technically trained person with an interest in the social aspects. You would work in close collaboration with researchers from computer science and social science disciplines.
Last Application Date: Position will remain open until filled
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45. PhD Position Smart Meta Membranes to fight against (bio)fouling
Summary of Doctoral Project:
Currently fouling is the major obstacle that hinders the long-term operation and wide-spread utilisation of membranes in various applications. A promising solution to fouling is introduction of stimuli-responsive membranes, whose pore sizes and/or surface properties can be altered via external stimuli. While first stimuli-responsive membranes have been proposed and demonstrated in the literature, their means to control the gating state are infeasible for countering fouling in an economically and ecologically feasible way. In this PhD project you will develop a novel type of smart membrane that counteracts fouling via mechanical and electromechanical agitation.
Last Application Date: 31 May 2022
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