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

As a postdoctoral researcher, you will contribute to the project GridData – Metrology for reliable power grid data analytics, a European metrology project aimed at enabling safe and reliable operation of electricity grids in an era of high renewable energy penetration and increasing system complexity.

Your role will focus on the validation and benchmarking of data analysis methods used for grid monitoring and forecasting, especially under scenarios with high uncertainty, abnormal phenomena, or incomplete data. You will collaborate with a multi-partner consortium across Europe to deliver a framework that quantifies data quality, integrates measurement uncertainty, and provides reference datasets based on real and simulated data.

By helping define and evaluate metrologically sound methodologies for assessing the performance and reliability of algorithms—including AI-based approaches—you will support the grid operators, measurement supply chains, and standards organisations in adopting data-driven decision support tools. Your contribution will ensure these tools meet the requirements of the EU AI Act for high-risk systems like energy infrastructure.

In the framework of the ongoing research conducted with TSOs and academic institutions, 1.5 years postdoc position will be assigned. The PROSECCO project brings direct advancements to the maturity level of HVDC grids. Doing so, it aids in realizing Europe’s climate goals for 2050. Meshed HVDC grids is a key technology to integrate offshore wind and to upgrade the European power system. As such, the future power system will be a hybrid AC/DC grid where the HVDC grid seamlessly integrates with AC systems. PROSECCO addresses innovation needs in grid protection near HVDC converters and congestion management for hybrid AC/DC grids. PROSECCO utilises Model Based System engineering to have a consistent approach that is vendor neutral from design. It will advance research on (HVDC) grid protection, focusing on harmonized specifications, improved testing, multi-vendor integration, enhancing grid stability and selective protection. In congestion management, the project develops power flow schedulers, power flow control hardware, and holistic cost-benefit analysis tools.

PROSECCO will mature hybrid AC/DC grids through 4 different demonstrators across three EU member states, namely (1) unique test equipment for DC relays (2) DC protection relays being installed in actual DC grids (3) a full scale DC power flow controller and (4) software to evaluate the cost-effectiveness of protection and congestion management solutions. The project also contributes to international standardization and builds confidence in TSOs, educates power system engineers, and provides recommendations to ENTSO-E.

Wind energy is crucial for realizing climate neutrality, energy independence, and energy security. Optimal operation of wind energy systems is challenging because of their inherent complexity, fast-changing operating conditions, as well as conflicting requirements for the cost of investment and energy generation. Novel optimization-based controllers have the potential to tackle these challenges. In particular, the controllers leverage the properties of feedback to take into account recent data instead of relying on mathematical models of the system, making them a good candidate for future wind farm control. At the same time, long-term performance of these controllers remains an open question.

The main objective of this postdoc is to investigate the potential of new wind farm flow control technologies for new wind farms (including storage, forecasting, energy markets). The task of this Postdoc is to co-develop the integrated design framework and assess the integrated potential for novel wind farms with a special focus on the energy market.

The project investigates the corrosion behaviour of bipolar plates (BPPs) in water electrolysis cells. BPPs play a crucial role in water and electron transport in an electrolyser stack and are typically made of expensive materials such as titanium coated with platinum and gold. Corrosion testing of BPPs in stack conditions is expensive and time-consuming. Thus, novel accelerated corrosion tests are required for initial material assessment. The project will study the corrosion behaviour of more cost-effective BPP material systems and develop tailored testing methods to gain a fundamental understanding of BPP corrosion.

The project will develop standardized corrosion testing protocols to identify and test alternative material solutions for BPPs, while also enhancing the corrosion resistance. The protocols can then be applied in industry, e.g. by the funding partner Bosch Transmission B.V., to develop the next generation of electrolyser stacks where these novel materials can be leveraged to their full potential. Your tasks as a postdoc researcher will include a range of techniques:

• Conduct electrochemical, advanced surface, and microstructural analyses to develop materials. 
• Interpret experimental results to assess the corrosion resistance and durability of new BPP materials, and translate findings into practical testing protocols.
• Work closely with Bosch Transmission B.V. to align research outcomes with industrial application and contribute to the next generation of electrolyser technologies.

Climate Change is expected to influence wave resources, marine renewable energies and coastal applications. This Post Doctoral position offers the opportunity to join the Marine Renewable Energies Lab, working on developing Digital Ocean Twin. Customised wave models are needed to properly assess different scenarios for wave resources, mitigation and adaptation strategies, marine renewables, coastal resilience, and blue economy such as aquaculture. The scenarios will be based on different realisations of Coupled Model Intercomparison Project (CMIP), in line with the Intergovernmental Panel on Climate Change (IPCC) scenarios.

You will contribute to a recently awarded European Project, and you will work on developing robust wave hindcasts/forecasts at high spatial resolutions, analyse long-term metocean conditions, and extreme events, with a particular focus in marine renewables, specifically offshore wind and wave energy applications. You will also work into developing machine and deep learning frameworks to close the gap, needed for high quality wave information at shallower regions. Your will develop comprehensive high-fidelity wave datasets thoroughly validated, wave energy assessments, and frameworks for analysis of Climate Change on wave resources across the European Seas for marine renewables. You are expected to closely work on the project with internal and external project partners. 

The Postdoc position is part of research of prof. Bernd Rieger and prof. Sjoerd Stallinga, in which we target (super-resolution) microscopy image processing and analysis method development. The position builds on the lab’s track-record in the field of computational imaging techniques for super-resolution microscopy and image analysis for biological imaging in general.

The position is part of the Netherlands BioImaging Infrastructure (http://eurobioimaging.nl) which is a nation‐wide multi‐sited facility that enables breakthrough in cell/life science across experimental models and imaging modalities. The Delft work is placed in the “SMART microscopy innovation node, with biological collaborators at Utrecht University (prof. Lukas Kapitein) and Erasmus Medical Center Rotterdam (prof. Adriaan Houtsmuller and the imaging center team). The PosDoc will interact on a regular basis with these collaborators to define questions, solutions, and automatization of the acquisition, i.e. to make the microscope SMART.

The “streets in space” are lined with garbage. Operational satellites that are vital to our everyday lives share their orbits with thousands of pieces of debris. An impact from such a debris object may destroy a satellite, or worse, threaten human spaceflight. Action is needed to clean up space.

Project SWEEP (Space-Waste Elimination around Earth by Photon propulsion) responds to this call for action by exploiting the endless propulsion capabilities of solar sailing. A spacecraft equipped with a solar sail rides on sunlight the way sailboats ride on the wind, making it a sustainable and cost-effective form of propulsion for a many-target active debris removal (ADR) mission.

To indeed demonstrate solar sailing as unmatched propulsion method for space debris removal, the SWEEP project will deliver state-of-the-art models and numerical tools to examine the solar-sail orbital dynamics around Earth. It will do so within a team of PhDs and a large consortium of space agencies (ESA, NASA, DLR), companies (ISISpace), and key academic players (e.g., University of Colorado Boulder, Embry-Riddle, Purdue University, Politecnico di Milano).

This postdoctoral research project is part of project “STORM”, a European Innovation Council (EIC) funded project that will investigate and conduct technology development for a space weather mission in proximity of the Sun-Earth L1 point. The mission’s objective is to provide an early warning and forecasting system to prevent damage to society and critical infrastructure on Earth and in space caused by solar weather events. The baseline mission scenario includes a constellation of so-called “sensing satellites” that will be deployed using electric propulsion, but will be maintained through the use of solar-sail propulsion.

Within the European consortium, led by Neutron Star Systems UG (Germany), TU Delft is responsible for the development of the orbital mechanics of the mission. The work will stretch the entire mission timeline, from developing tools and techniques to design and optimise the fly-out from Earth, to defining the deployment strategy of the sensing satellites around L1, to computing and characterizing (quasi-)periodic orbits for the constellation design, and developing orbit control strategies for long-term orbit maintenance by exploiting the “free” solar-sail acceleration. Finally, to comply with debris mitigation guidelines, the work will also include the definition of suitable end-of-life disposal options. The results from the orbital-dynamics work package will be used to formulate requirements on the solar-sail subsystem, the electric propulsion system, and the overall spacecraft capabilities, and directly feed into the other work packages on mission design and technology development.

The Kouwenhoven Lab is seeking a postdoctoral researcher to join our team in developing a new type of qubit based on magnetic domain walls.

This project explores a novel qubit platform that encodes quantum information in the chirality of the magnetization rotation in the region separating two magnetic domains in racetrack structures. The successful candidate will be involved in design, fabrication and measurements of the magnetic devices that enable the qubit implementation, as well as in developing protocols for domain walls initialization, manipulation, and readout. The goal is to demonstrate for the first time the domain wall qubit and to probe its performance under realistic operating conditions.

The postdoc will also work in close collaboration with a partner group specialized in NV magnetometry (van der Sar’s group), which will provide spatially resolved imaging of the domain wall dynamics.

We welcome applications from motivated and passionate experimentalists with a background in low-temperature electrical transport, spintronics and a strong interest in both academic research and technological applications. A doctoral degree in a relevant field, or the expectation of obtaining one soon, is required.

Join our ambitious research team as a postdoctoral researcher in the prestigious NWO VICI project on geometric approaches to shortest paths in complex networks!

The Project: A New Perspective on Shortest Paths

Shortest paths are central to a wide range of disciplinary and interdisciplinary challenges — from transportation routing and cell signaling to social dynamics and the spread of epidemics. Classical algorithms solve shortest-path problems efficiently on complete, static networks. However, many real-world networks (e.g., the Internet, protein interaction networks, social networks) are incomplete, dynamic, or both.

This project investigates a machine learning–based alternative to shortest-path inference, focusing on non-Euclidean embeddings of networks. The overarching goal is to understand and predict shortest paths when the network is only partially known or constantly changing.

We are building a dynamic and collaborative team of two Ph.D. candidates and two postdoctoral researchers. This position is specifically for a postdoc working on theoretical aspects of shortest-path geometry.

Direct Air Capture (DAC) is seen as a key actor in achieving net zero emissions by 2050. This technology can achieve net negative emissions by capturing atmospheric carbon dioxide. The majority of the costs of DAC are associated with energy expense for sorbent regeneration, and replacement of sorbent material due to degradation. In current DAC devices with a granular sorbent bed, a notable part of energy is used by fans to move large amounts of air through the sorbent. The fan power is proportional to the pressure drop over the bed, a parameter largely controlled by the structure of the sorbent.

Monoliths acting as sorbent support are known to be advantageous compared to packed beds because of the lower pressure drop and energy required, while CO₂ adsorption capacity is maintained. Nonetheless, commercially available monoliths have not been optimised for DAC applications. For instance, geometry could be optimised for heat and mass transfer, sorbent lifetime, and to minimise sorbent amounts required. In addition, current sorbent-based DAC processes operate in batch-wise mode. Continuous operation is often regarded as the most productive configuration in the process industry, and it presents technical advantages over cyclic DAC operation. Therefore, in this project, we will design, fabricate, test and model monolith structures for continuous DAC operation. The steps towards this include:

• Designing a range of monolith geometries for DAC application and setting up multiphysics (coupled flow, heat, and mass transfer) simulations of these geometries.
• Interpreting numerical results to select the most promising geometries.
• Fabricating monolith samples using advanced additive manufacturing techniques and functionalising them through impregnation or grafting.
• Constructing a test set-up for breakthrough testing of these samples.
• Validating simulations using experimental results, and combining both to recommend optimal monolith structures for scale-up.

Join our ambitious research team as a postdoctoral researcher in the prestigious NWO VICI project on geometric approaches to shortest paths in complex networks!

The Project: A New Perspective on Shortest Paths

Shortest paths are central to a wide range of disciplinary and interdisciplinary challenges — from transportation routing and cell signaling to social dynamics and the spread of epidemics. Classical algorithms solve shortest-path problems efficiently on complete, static networks. However, many real-world networks (e.g., the Internet, protein interaction networks, social networks) are incomplete, dynamic, or both.

This project investigates a machine learning–based alternative to shortest-path inference, focusing on non-Euclidean embeddings of networks. The overarching goal is to understand and predict shortest paths when the network is only partially known or constantly changing.

We are building a dynamic and collaborative team of two Ph.D. candidates and two postdoctoral researchers. This position is specifically for a postdoc working on inference aspects of shortest-path geometry.

(18) Postdoctoral Fellowship Position

Postdoc Fellowship Position summary/title: Postdoc Position Microwave Remote Sensing of Vegetation

Deadline :  10 May 2025

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Join our experimental quantum science group, the Chatterjee Lab at QuTech! We are looking for two postdoctoral candidates, focusing on semiconductor and superconductor quantum circuits.

We welcome applications from researchers with diverse experimental interests and backgrounds, including spin and superconducting qubits, condensed matter device physics, quantum materials, quantum many-body physics, and quantum information and computing, to apply.

One position will focus on the scaling, calibration, operation, and tuning of spin qubit arrays using algorithmic techniques, as part of an international project, with opportunities for growth and collaboration.

Another position will focus on the interactions between superconducting circuits and gate-defined quantum dots and Josephson junctions, hosted in germanium quantum wells in semiconducting heterostructures. The goal of this project is to explore quantum simulation and many-body physics in hybrid circuits.

We are looking for motivated and passionate experimentalists who hold a doctoral degree or expect to be awarded one shortly, from a variety of relevant backgrounds.  In this role, you will join a diverse and inclusive team at QuTech and the Kavli Institute of Nanoscience, located in the heart of the TU Delft campus. Our state-of-the-art research facilities provide a world-class environment for quantum and nanoscale research, offering exceptional opportunities for innovation and collaboration.

TU Delft is seeking a highly motivated Postdoctoral Researcher to contribute to two major LIFE_CET EU-funded projects: HANDS-ON and IRENE. These projects focus on fostering energy justice, participatory governance, and inclusive energy renovations through multi-stakeholder institutions and policy innovation. The postdoc will support the design, implementation, and evaluation of participatory methods, governance structures and justice frameworks that promote social equity, energy democracy, and just clean energy transitions. The position is embedded within TU Delft’s interdisciplinary research on systemic design, sustainability transitions, design anthropology, and governance for social and environmental justice. The selected candidate will work closely with researchers, policy and change-makers, municipalities, and citizen groups across Europe.

The postdoc will support TU Delft’s leadership in multiple work packages and tasks across HANDS-ON and IRENE, including: the co-development of an energy and climate justice framework and co-design of just local governance institutions to empower citizens in local and regional climate-related decision-making (e.g. energy renovations); the co-development of a collective and reflexive monitoring platform and participatory tools to enable learning and transformative process while collectively assessing the emergence and effectiveness of institutional learning by doing practices; the co-organisation of multi-stakeholder assembly sessions and capacity-building workshops to support municipalities in integrating just and clean energy transition principles.

TU Delft is seeking a highly motivated Postdoctoral Researcher to contribute to two major LIFE_CET EU-funded projects: HANDS-ON and IRENE. These projects focus on fostering energy justice, participatory governance, and inclusive energy renovations through multi-stakeholder institutions and policy innovation. The postdoc will support the design, implementation, and evaluation of participatory methods, governance structures and justice frameworks that promote social equity, energy democracy, and just clean energy transitions. The position is embedded within TU Delft’s interdisciplinary research on systemic design, sustainability transitions, design anthropology, and governance for social and environmental justice. The selected candidate will work closely with researchers, policy and change-makers, municipalities, and citizen groups across Europe.

The postdoc will support TU Delft’s leadership in multiple work packages and tasks across HANDS-ON and IRENE, including: the co-development of an energy and climate justice framework and co-design of just local governance institutions to empower citizens in local and regional climate-related decision-making (e.g. energy renovations); the co-development of a collective and reflexive monitoring platform and participatory tools to enable learning and transformative process while collectively assessing the emergence and effectiveness of institutional learning by doing practices; the co-organisation of multi-stakeholder assembly sessions and capacity-building workshops to support municipalities in integrating just and clean energy transition principles.

Good hearing is essential for active participation in society. Hearing impairments can lead to various challenges, from frustration and social isolation—such as difficulties understanding speech in noisy environments—to serious safety risks, like the inability to localize sound sources in traffic.

Hearing aids help mitigate hearing loss by enhancing speech intelligibility, improving sound localization, and increasing environmental awareness. However, most existing hearing aid algorithms optimize for only one of these objectives at a time, often at the expense of the others. To enhance hearing aid performance across diverse scenarios, we aim to develop innovative algorithms that dynamically balance the improvement of speech intelligibility, sound localization, and environmental awareness, dependent on the context. 

To tackle this challenge, we are seeking a postdoctoral researcher with expertise in speech signal processing, optimization, machine learning, and models of hearing and perception.

This is a full-time, three-year position within the audio and speech processing team of the Signal Processing Systems (SPS) Section. In the SPS section, we conduct research in array signal processing, graph signal processing, convex optimization, distributed processing, machine learning, and tensor analysis. Our applications span various domains, including audio and acoustics, wireless communication, radio astronomy, biomedical signal processing, and distributed sensing from space.