30 Postdoctoral Fellowship at Delft University of Technology (TU Delft), Netherlands

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

The vision of a Quantum Internet is to provide fundamentally new internet technology by enabling quantum communication between any two points on earth. Such a Quantum Internet will – in synergy with the ‘classical’ Internet that we have today – connect quantum processors in order to achieve unparalleled capabilities that are provably impossible using only classical communication.

Single-molecule platforms based on 2D materials are emerging as novel tools for low-cost, high-resolution and high-throughput detection of biomolecule mechanics and dynamics. On one hand, they can enable important discoveries in biomolecular function at the single-molecule level and, on the other hand, they show great promise for applications in molecular diagnostics. In this interdisciplinary project you will combine cutting-edge nanofabrication techniques, 2D materials nanomechanics and nanophotonics, and fluorescence imaging to innovate single-molecule detection platforms. You will have the opportunity to develop new fundamental insights into light-matter interactions at the nanoscale for application in next-generation protein fingerprinting.

This Postdoc position is meant to develop and validate a combination of advanced fatigue damage criteria and non-linear (loading & response and resistance induced) damage accumulation models applicable for fatigue design.

Since improving the fatigue design is quite effective in reducing the total cost of ownership, i.e. risk (uncertainty), your first aim is to revise and continue the development of the Total Stress and Effective Notch Stress fatigue strength criteria – adopting respectively an intact and cracked geometry – and corresponding constant amplitude fatigue resistance curves for welded joints in steel structures.

In order to provide fatigue strength and life time estimates in (random) variable amplitude loading & response conditions for design purposes, a non-linear damage accumulation model has to be developed. Particular attention is supposed to be paid to loading & response (e.g. mean stress sensitive sequence effects and time/frequency domain considerations) and resistance contributions. Artificial Intelligence techniques (e.g. Bayesian Inference) could be involved.

As our new Post-Doctoral researcher at the Offshore Engineering Group, you will be looking into the development of a computational framework for the deployment and operation of floating wind. The focus of the research is to minimise motions of the (sub)structure and reduce loads during the operational lifetime. Resulting into new insights on the structures, and novel ideas into the control strategies for floating wind.

The researcher will work on fluid-structure interactions and evaluation of loads at local and global scales, as well as investigating controls systems for floating wind. The developed framework is expected to be validated with experiments and used for hybrid computational-experimental testing.

The drive towards climate neutrality in the aviation sector calls for impactful innovations. Besides the transition to sustainable fuels and novel propulsion systems, the development of ultra-efficient aircraft is crucial. Within the scope of a Dutch government-funded multi-year project, groundbreaking research into cutting-edge thermoplastic composites, structures and production technologies will be conducted. As a postdoc at TU Delft, you will work closely with leading manufacturers and airlines as well as researchers at TU Delft, and other universities and research institutes.

We’re looking for three postdoc candidates and offer unique research lines covering the entire spectrum of materials development, structure design, production, certification and recycling. Will you be developing entirely new ultra-light thermoplastic composites? Or would you rather focus on sustainable production, processing and assembly to reduce waste, energy consumption and e.g. the use of expensive titanium fasteners? You may also focus on the ‘factory of the future’, conducting research geared to recycling, rapid non-destructive testing methods, or digitisation of the manufacturing processes. That’s how you will help increase the Dutch aviation manufacturing industry’s competitive edge. In addition to conducting fundamental and experimental research, you will be authoring scientific publications and speaking at conferences.

Are you interested in conducting research at the intersection of biomechanics, mechatronics and robotics to develop tools and methods for the accurate personalization of musculskeletal models? If so, the department of Biomechanics and the department of Cognitive Robotics at TU Delft wants you to help us develop systems for the automated estimation and scaling of upper limb muscle tissue. Our goal is to incorporate such a system into novel healthcare applications such as assistive and rehabilitative robotics for customized patient care and clinician assistance. We are seeking a highly motivated and ambitious postdoctoral researcher to develop the next generation of biomechanical perception technology and to evaluate the performance of this system through experimentation and simulation. The research will be conducted under the supervision of Dr. 

We are seeking a full-time post-doctoral candidate for a two-year position. Your post-doc research project will be an integral part of the recently awarded Horizon Europe Research In Action Project FABRIX (Fostering local, beautiful, and sustainably designed regenerative textile and clothing ecosystems). The urgency to maintain manufacturing functions in urban regions is growing after decades of planning ‘post-industrial’ cities. There are several reasons for this, including the need for diverse job opportunities in cities, the imperative to remanufacture products as locally as possible within a circular economy, and the drive to promote innovation from tacit to productional knowledge. The latter is increasingly influenced by geopolitical rationales. While these reasons gain (political) momentum, the process remains challenging.

The planning and design of cities must evolve to generate ideas, tools, and processes for facilitating (regenerative) manufacturing functions in urban regions without compromising the so-called ‘good planning practice,’ which aims to spatially balance functions, patterns, nature, etc. FABRIX will address this societal urgency by focusing on the textile and clothing sector. This sector provides valuable insights into social (in)justice, sustainability, innovation, production, consumption, geopolitics, and planning, linking to design and the arts; insights that are relevant for numerous other sectors. Initially, we will examine two case studies: Rotterdam (providing insights into the more innovation start-up-driven aspects of clothing and textile) and Athens (providing insights into the more production-oriented aspects of clothing and textile).

With a decade-long research efforts in the field of aerial manipulation, it is evident how we are still far from achieving dynamic aerial physical interaction in the real world. This is due to the challenges related to dynamic forces and moments affecting the drone’s flight mechanics. So far, key contributions from the research community included the implementation of compliance in control laws to mitigate the effects of such unknown physical variables, constraining the operations to quasi-static conditions. Lately, novel designs have emerged that alleviate dynamic forces and moments in a mechanical, passive way – enabling more dynamic manoeuvres.

In this project, the researcher will leverage the use of novel compliant designs to broaden the interaction capabilities of drones outside the lab, in real world conditions. Novel control laws will be implemented on emerging compliant and multi-DoFs drone morphologies to tackle dynamic interaction with unknown objects and environments. Representative use-cases for such developments will be in space exploration and nature conservation. 

Economic resources (typically wealth and income) are distributed very unevenly among people. In parallel, people with similar economic levels tend to concentrate spatially, in similar cities, in cities of similar sizes, and in similar neighbourhoods, in which case we call it urban segregation. Economic inequality and urban segregation are considered top priority challenges by the United Nations. Tackling them is urgent because economic inequality and urban segregation restrict the ability of the poorest individuals to get by in life, but they also affect life expectancy, social justice and cohesion for everyone.

One way to understand and address urban economic segregation is to model its dynamics, and to run and compare policy scenarios on how to reduce it. Following recent developments in analytical sociology and computational social sciences, it seems that two ways of modelling social processes such as urban economic segregation provide a strong basis for mechanistic and causal explanations: statistical modelling to describe covariations between social phenomena and individual characteristics, and generative modelling (such as agent-based modelling) to represent causal paths through which social phenomena (such as urban economic segregation) emerge from individual interactions.

Laser satellite communications holds tremendous potential for global telecommunications access. However, the impact of atmospheric turbulence on laser beam propagation presents a significant technological challenge. This obstacle can be addressed through the implementation of adaptive optics and geographic diversity. Our project’s primary objective is to create a comprehensive map detailing the optical channel performance across Europe. This map is crucial for designing ground network technology and estimating communication service availability. Due to the current limitations in understanding and estimating channel performance, we will pioneer novel physics-informed machine learning algorithms to formulate an optical link performance map.

This groundbreaking project comprises two PhD positions and one postdoc position, led by experts in meteorology, machine learning, and laser satellite communications. The focus of this particular postdoc position is to (1) perform state-of-the-art mesoscale and large-eddy simulations of optical turbulence, (2) analyzing a diverse range of observational datasets, including sonic anemometer, scintillometer, and lidar data, (3) develop new methodologies to estimate the refractive index structure parameter (Cn2) from modeled data, (4) present research results at various meetings, conferences, and workshops, (5) publish in high-impact, peer-reviewed journals, and (6) mentor two graduate students working on the same project.

The Cybersecurity (CYS) group at the Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS) invites applications for full-time doctoral candidates in the area of Data-driven Cybersecurity. Successful candidates will follow a data-driven approach by collecting and analyzing massive network and web data to improve security and privacy in the Internet. Examples include fighting cyber threats (e.g., ransomware, phishing, denial of service attacks, scanning for system vulnerabilities), identifying and mitigating network and Web vulnerabilities (e.g., unauthorized access, user tracking), and assessing the adoption of user data protection regulations (e.g., GDPR) in the wild. Successful candidates will have the opportunity to work closely with world-class researchers at TU Delft and our research collaborators in Europe and the US.

Our group conducts research in a range of cybersecurity topics, including, secure data analytics, applied cryptography, privacy, cloud security, system security, and network security. We aim to make the world a safer place as most of our activity and data move online. We design, develop, and evaluate interdisciplinary solutions that combine all fields of computer sciences: artificial intelligence, systems, and theory. Examples include the development of applied cryptography, deep learning methods that are immune to common side-channel defences, machine learning algorithms that can operate on encrypted data in the cloud, detection and mitigation of large scale distributed denial of service attacks, and analysis of the latest security threats. We aim to publish our results at top conferences and journals, transfer our scientific know-how and technologies to students and our public and private partners in the field of cybersecurity, and have impact in society and the research community.    

The project aims at developing a hybrid (photo)electrocatalytic device capable of providing a total solution to the accumulation of micropollutants in water, addressing the issues of water sustainability as well as food safety/security. The scope of the project is to explore the reactivity by catalyst/cell design and to understand the reactive species and reaction mechanisms by means of in situ/operando methodologies.

 

(18) Postdoctoral Fellowship Position

Postdoc Fellowship Position summary/title: Post-doc: Continuous synthesis of organic carbonates from carbon dioxide

Deadline : 31 January 2024 

View details & Apply

 

As the energy transformation is taking shape, multi-energy systems pose a serious threat to the stability of our power systems. The volatility of sustainable energy sources like solar and wind, and the unpredictability of user behaviour add to the conundrum. The constant changes in active power exchanges through HVDC and HVAC conversion, generation, and consumption lead to unacceptable voltage and frequency deviations from established limits for technical performance, ultimately causing power grid failures. As a blackout can be caused by changes in just a fraction of a second, revolutionary new, adaptive and fast control technology is crucial to promptly and effectively curb such deviations. As a postdoc at TU Delft you will conduct research into and develop self-learning automated control principles, incorporating a wide range of methods and technologies.

You’ll be working in a multidisciplinary team and with industrial partners, including leading power grid operators. Developing a comprehensive dynamic stability model using automation, multi-variable control methods and other relevant disciplines, you will first simulate and test your models in our state-of-the-art Electrical Sustainable Power Lab. And in close collaboration with your partners, you will translate your models into systems specifications and even experiment in their installations. In addition, you will be organising cocreation workshops and meetings and will report your progress and findings to the stakeholders. You will, of course, publish papers and disseminate your findings and knowledge in relevant communities.

Extracting Rare Earth Elements (REEs) containing particles from mining ores requires innovative and effective beneficiation technologies, capable of treating variable ores of different REE mineralogy to obtain >50-70% gangue removal, preventing gangue from entering the downstream processes, and therefore significantly reducing the cost of energy and reagents. Technologies applying magnetic liquids and innovative optical sorting techniques based on interactions of specially designed liquids, high-intensity magnets, and solid particles can effectively and selectively separate REE-bearing minerals from the gangue materials.

The Horizon Europe project SUPREEMO involves 11 partners with researchers from universities, research centers, and industries, working closely together to reach a common goal: to establish the first pre-commercial REE production value chain using European primary resources as feedstock, developing sustainable, cost-competitive processing, refining, and REEs for Permanent Magnet (PM) production technologies in a responsible way complying with local and international safety regulations. The largest end-user of REEs is the PM industry, which uses neodymium, praseodymium, and dysprosium as critical elements to produce high energy-efficient motors vital for electric mobility and renewable energy technologies. This is essential for EU industry and strategic sectors, which now depend 100% on imports.

The project Optimal, secure, and modular development of multi-energy networks (MADURO) is seeking a highly motivated postdoctoral fellow to develop new design concepts for high voltage networks dominated by power electronic interfaced subsystems (PEIS). Special emphasis is put on the development of new fast primary and secondary control principles for PEIS to effectively mitigate instabilities due to active power imbalances.  The context is integrated energy systems with interconnected networks, each one involving different types of PEIS (e.g. incl. electrical/non-electrical energy conversion & storage, renewable generation, FACTS, MMC-HVDC systems, and responsive demand).

The research activities will be based on real-time digital simulation for laboratory scale experiments (incl. control-in-the-loop prototyping anf testing), multi-variable non-linear control, and advanced computational intelligence methods.

TU Delft is seeking a postdoctoral researcher for a 1 year equivalent contract (full or part time). The researcher will develop and execute an engineering research project with the title “Modeling bicycle behavior from visual stimulus to neuromuscular control ability”. This project is funded by a TU Delft internal Cohesion grant and is a collaboration between the Intelligent Vehicles section and the Bicycle Laboratorium, both part of the Mechanical Engineering faculty. The purpose of the project is to use Computer Vision and bicycle dynamics models to accurately model cyclist behavior to improve bicycle and road designs, as well as safety in sustainable transportation.

Accurate motion data on cyclists is scarce. Existing data has been largely collected via counting at specific locations or GPS. However, the accuracy of GPS is limited and there is no data that can track bicyclists with centimeter accuracy in urban environments. We recently developed a bicycle equipped with the latest automotive-grade sensors. By using visual odometry from IMUs, lidar and cameras, we are able to drastically improve the localization performance over GPS. We are further developing a perception system to detect other traffic participants from the bicycle.

Are you interested in conducting research at the intersection of biomechanics, neuroscience, and AI to develop realistic simulations of human movement? Are you fascinated by how humans adapt their movements as they age? If so, the department of Biomechanics at TU Delft wants you to help us develop the next generation of realistic simulations of human movement, particularly focusing on the realm of how humans adapt their movements as they age. As a highly motivated and ambitious Postdoctoral Researcher, you will be a crucial part of our dynamic team, contributing to the development and implementation of an advanced machine learning model. This model will play a key role as part of a 3D robust neuromuscular controller, aimed at creating robust simulations of daily life activities within open-source software. This exciting project, led by Dr. 

This position is part of the NXTGEN Hightech “Efficient & Proven Zero-Defect Robotic Manufacturing” project, where, in collaboration with industry leaders, we are improving the manufacturing processes and non-destructive testing of composite materials for wind energy and aerospace through innovative solutions.

In this project, you will develop a new full-field optical instrument to characterise the propagation of ultrasonic waves in composite materials. The measured wave patterns will serve as inputs to other ultrasonic inspection techniques. Shearography (laser speckle pattern shearing interferometry) is the main technique to be used. Experimental activities with digital holography and interferometry are also foreseen.

The research combines developing the shearography instrument, including the optical part and the interferometric data processing, calibration and validation of the experimental results. Robustness is another priority, as the ambition is to integrate the developed instrument into a robotic arm for an automated inspection. The integration will be done in collaboration with SamXL, a manufacturing automation expertise centre at TU Delft.

The power grid topology needs to adapt to absorb the rapid expansion of offshore wind, wind-to-hydrogen and the integration of offshore and onshore power generation. The volatile nature of sustainable energy production, the unpredictable demand, and random disturbances like component outages or short-circuits, result in poorly damped electrical oscillations, which could result in partial or total systemic blackouts. To design and confidently operate a stable power system for the future, a dynamic, data-driven approach to modelling is crucial. That’s your challenge as a postdoc at TU Delft.

You will conduct research into and develop a comprehensive, self-learning model, building a digital twin of the sustainable offshore power systems. Levering relevant monitoring and measuring data, your model will continuously adapt to reliably assess dynamic behaviour in micro to millisecond time scales . You will be focusing on anticipation, monitoring, and effective mitigation of diverse and unprecedented forms of poorly damped oscillations with different physical roots and time-varying properties affecting the systemic dynamic stability. In your research you will be working closely with grid operators and developers of sustainable offshore projects such as wind farms. As part of your role, you will coach and support PhD and master students, and publish and disseminate your findings and knowledge in relevant communities and at conferences.

Hart voor de publieke zaak en geïnteresseerd in huisvesting? Als postdoc sta je met één been in de wetenschap en met het andere been in de politie-praktijk. De politie wil huisvesting integraal inzetten als ‘enabler’ voor de organisatie(ontwikkeling). Daarbij spelen dilemma’s rond hybride werken, verduurzaming van gebouwen en een gezond werkklimaat, terwijl tegelijkertijd publieke middelen en huisvestingsbudgetten onder druk staan. Allemaal actuele uitdagingen waar de Politie mee te maken heeft, net als andere publieke organisaties. Als post doc zoek jij naar trends binnen deze thema’s en bouw je mee aan oplossingen. Dat doe je binnen het Politie NL onderzoek.

Doel en impact van het onderzoek: Beslissers en ontwerpers ondersteunen bij het formuleren en afwegen van organisatorische, financiële, functionele en fysieke eisen voor de politieportefeuille. Dan gaat het over miljoenen vierkante meters, tienduizenden medewerkers en honderden miljoenen euro’s.

Als postdoc werk je zowel bij de TU Delft als voor de politie. De Politie behoort tot de grootste Nederlandse vastgoedbeheerders, die nauw samenwerkt met andere gemeenten en veiligheidsregio’s, waardoor huisvestingskeuzes altijd meerdere en soms tegenstrijdige belangen kennen en het effect op het maatschappelijk belang zwaar zal meewegen. Publieke organisaties willen van elkaar en van de wetenschap leren. Als promovendus zal jij hierin een sleutelrol vervullen.

Ports serve as critical nodes in the global logistics network, acting as key facilitators of international trade and commerce. The efficient operation of ports is key for ensuring the timely and secure movement of goods across the world. Ports play a pivotal role in connecting nations, enabling the smooth flow of imports and exports, and contributing significantly to economic development. The performance of ports directly impacts the competitiveness of regions and nations in the global marketplace. Efficient port operations not only reduce transportation costs but also enhance supply chain reliability, fostering economic growth and prosperity. The infrastructure of ports, including breakwaters, access channels, turning circles, harbour basins, terminals, quay walls and equipment, and physical environmental aspects like bed levels, water levels, currents, waves, and wind, profoundly influence the way ports operate. Recognizing the interplay between infrastructure, the physical environment, and efficiency is crucial for optimizing port performance.

The primary responsibility of this 2-year postdoctoral position will be to spearhead the development of a novel working environment that harnesses the latest advancements in artificial intelligence and leverages access to new data sources. This innovative working environment will at least include setting up of skill beds, and providing a dynamic platform for testing and assessing new data-driven methodologies across a spectrum of challenges within the port and waterways management.

The research topic can be tailored to your interests, but should consider the incorporation of uncertainty when scheduling multiple resources. The operations research techniques that can be used vary from simulation, integer linear programming, stochastic programming, robust optimization, metaheuristics, Markov decision processes, and machine learning. The health application can be related to the operating room, radiotherapy treatment preparation or patient care pathway. If preferred, the project can be done in close collaboration with the Erasmus Medical Centre in Rotterdam.

The Dutch government has funded the Geowin consortium to investigate and enable more reliable and cheaper offshore windfarm development. For this, it is mandatory to assess the location’s geotechnical feasibility. This is conventionally done with classical geotechnical approaches like cone penetration tests, borehole investigations as well as high resolution seismic surveys to structurally image the near subsurface. Ground modelling is a critical step in offshore windfarm development as it provides essential insights to the seabed properties, allowing engineers to design reliable and cost-effective foundations for the wind turbines. With more accurate data on the soil properties and seabed loadings, windfarm developers can optimize dimensions, foundation depth, wall thickness and overall monopile design of the windmills. This will allow saving steel and installation costs. Moreover, detailed geotechnical surveys scan for geohazards and also assure that there are no pipelines, cables or other infrastructure in the way, including unexploded ordnances (UXOs), or other objects on or within the seafloor where the windfarm should be developed. Using current invasive geotechnical equipment, this is a costly and environmentally aggressive endeavour, which requires large vessels, massive and expensive equipment, and a lot of time.

The Dutch government has funded the Geowin consortium to investigate and enable more reliable and cheaper offshore windfarm development. For this, it is mandatory to assess the location’s geotechnical feasibility. This is conventionally done with classical geotechnical approaches like cone penetration tests, borehole investigations as well as high resolution seismic surveys to structurally image the near subsurface. Ground modelling is a critical step in offshore windfarm development as it provides essential insights to the seabed properties, allowing engineers to design reliable and cost-effective foundations for the wind turbines. With more accurate data on the soil properties and seabed loadings, windfarm developers can optimize dimensions, foundation depth, wall thickness and overall monopile design of the windmills. This will allow saving steel and installation costs. Moreover, detailed geotechnical surveys scan for geohazards and also assure that there are no pipelines, cables or other infrastructure in the way, including unexploded ordnances (UXOs), or other objects on or within the seafloor where the windfarm should be developed. Using current invasive geotechnical equipment, this is a costly and environmentally aggressive endeavour, which requires large vessels, massive and expensive equipment, and a lot of time.