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

The aviation industry has been growing rapidly until the COVID-19 pandemic. The ICAO Post-COVID-19 forecasts indicate that aviation will recover with a growth rate ranging from 2.4%-4.1% for a low to a high scenario, respectively. Air traffic growth inevitably causes an increase in aviation’s combustion and emissions, hence aggravating aviation’s climate and societal impacts. Depending on your seniority, you will conduct research into the model development to enable robust climate optimized flight trajectories as a postdoctoral researcher working in the Horiozon Europe F4ECLIM. The goals for this position is that you will further develop the open-source climate model with a novel approach to address the uncertainties related to NOx emissions.

Yours being interdisciplinary research, you will regularly discuss and align your work with the European project partners, which include aerospace faculties, aviation research institutes, and climate scentist. Coaching bachelor and master students and supervising their projects is also part of your role. As a Postdoc researcher, you will be preparing for your academic career and take on a more leading role in education, project coordination, and developing project proposals.

We aim to advance the integration and joining of thermoplastics composites with a concerted effort of several researchers contributing towards a new approach to fusion bonding, combining process and performance optimization by simulations of physical phenomena and process monitoring using artificial intelligence. This postdoc will explore

novel approaches in monitoring of ultrasonic welding through a multisensor approach feeding from the air coupled acoustic characteristics, temperature evolution, energy transmission etc., and implement data fusion methods to decipher the evolution of structure-process-property relationship during the ultrasonic welding process.

This position is part of the NWO Perspectief project ENLIGHTEN – Enabling Integrated Lightweight Structures In High Volumes and will contribute to the project through enabling advanced monitoring and control of fusion bonding processes.

It is widely recognized that unbalanced deformation and loading of cardiovascular tissues leads to pathological growth and remodeling processes. Therefore, quantification of the tissue’s in vivo stress state holds important clinical diagnostic and prognostic opportunities in the management of cardiovascular disease. Unfortunately, data sparsity, parameter uncertainty, and the highly nonlinear and anisotropic behavior of these tissues pose significant challenges to the accurate identification of the in vivo stress state. In this project, you will explore inverse data-driven and physics-based approaches and integrate multi-modal and multi-fidelity biomechanics tissue testing data to advance insights into the ex vivo and in vivo mechanical behavior of various cardiovascular tissues.

As a postdoctoral researcher, you will help us design and run research line involving collaboration with PhD and MSc students. You will develop novel data-driven and physics-based modeling techniques, conduct and analyze experimental studies, write scientific articles, present your work at (inter)national conferences, and support educational activities. You will also receive mentorship support towards building an academic or industrial career following the postdoc tenure.

Recent geo-political developments and related security challenges have accentuated the need for rapid response capabilities by well-coordinated EU naval vessel fleets with advanced platform and systems’ technologies. On the requirements side, rapid adaptability to ever changing scenarios, optimal capabilities deployment and resilience along with high-level situational awareness and minimum human-on-the spot presence are needed. On the solutions side, high vessel automation along with safe communications and effective combat management must be provided. In addition, EU naval fleets are committed to reduce their environmental footprint by intelligent use of Power and Propulsion Energy (PPE) systems and clean fuels.

The relations between the naval vessel functions and the corresponding physical vessel systems must be referenced and implemented in the vessel architecture so that the impact of design choices and new technologies can be made visible. This also means that differing naval missions and environmental conditions require different vessel solutions and Concepts of Operations (CONOPS). The ability to capture the European operational concepts, the required functionalities, and specific constraints per intended CONOPS can be provided by a common System Architecture for European navies.

The SuperGPS-2 project is carried out jointly by the TU Delft Faculty of Electrical Engineering, Mathematics, and Computer Sciences (EEMCS) and the Faculty of Civil Engineering and Geosciences (CEG). The PostDoc should complement the current project-team, and will be appointed, for a 2.5 years term, at the former faculty. Next to research on radio signal processing and positioning, he/she will be leading the development of the proof-of-principle virtual ultra-wideband prototype test-bed for positioning and time-transfer, with the aim of a live-demonstration by the end of the project. Specifically, the PostDoc will supervise and contribute to the PhD students’ work on the prototype test-bed, and coordinate the actual demonstration.

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.

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. 

Delft University of Technology is hiring a postdoc on the subject of “digital twins for energy valleys”. In order to reduce the carbon footprint of our society, the energy systems must develop on the local scale. To enable local energy systems we need digital twins that can support operational decision making by the local community (energy valley) stakeholders. The role of this postdoc is to establish the digital twin blueprint for energy valleys and implement it in a real-world setting. The main scientific challenge lies in modelling the system with various stakeholders (companies, governments, citizens) imperfect and partial information.

This positions is a part of the REFORMERS Horizon EU project. The postdoc will collaborate with partners from across EU and the Netherlands. The postdoc will be required to occasionally travel within the Netherlands, and to the consortium project meetings across EU. Additionally, the postdoc will contribute and lead several deliverables in this EU project.

In a nutshell, your work will be to develop the blueprint architecture of the digital twin for energy valleys. This includes ontologies, APIs and open source software stack to standardize the digital twin for this application. Starting with already existing open source solutions is desirable. The postdoc will also be in charge of validating and testing the developed solution. The postdoc will also develop several needed algorithms for proper functioning of the digital twin, including scenario evaluation, automated model creation, model adaptation, etc.

We are looking for a candidate with strong computer science background and system thinking. The knowledge and experience in the energy field is highly desirable. The affinity with modeling and modeling formalisms (such as optimization modeling, simulation modeling, agent-based modeling) is desirable.

We are looking for candidates who can start as soon as possible, although there is some flexibility in the starting date for the suitable candidate. The candidates will be screened as the applications arrive until the position is filled or the posting has expired.

As a Postdoctoral Researcher at the TU Delft Reactor Institute, you will play a pivotal role in advancing the scientific utilization of our Positron facilities. You will become an acknowledged expert in the field of position techniques and your key responsibilities will include:

• User Support and Training: You will provide training and assistance to users, guiding them in utilizing the Positron facilities effectively for their research endeavors.
• Data Interpretation and Analysis: Analyzing scientific data generated by experiments, you will offer insights and guidance to users, aiding in the interpretation of results and recommending strategies for sample preparation and data analysis.
• Instrument Optimization: Collaborating closely with users and instrument technicians, you will contribute to the adaptation and optimization of the Positron facilities to maximize experimental outcomes.
• Continuous Development: Drive improvements in the Positron facilities, focusing on enhancing resolution, accuracy, and measurement speed through the introduction of innovative detection designs and sample environments.

Adhesive bonding is an efficient structural joining technique that enables efficient lightweight composite airframe design, a prerequisite for the transition towards more sustainable aviation. However, automation of the bonding process in manufacturing, in combination with stringent certification requirements, demands advances in understanding of, and in assessment methodologies for, fatigue and damage tolerance.

In this position you will contribute to this need, by developing and validating prediction methodologies consisting of static and fatigue damage growth tests on generic coupons, in conjunction with analytical or numerical modelling. This project will feature a large amount of experimental work, in combination with analytical and/or numerical modelling, depending on which approach proves to be most feasible.

You will conduct this research within the Aerospace Structures and Materials Department of the Faculty of Aerospace Engineering of TU Delft. Direct supervision will be provided by Dr. ir. J.A. Pascoe and Dr. ir. R.C. Alderliesten.

The potential discomfort and motion sickness experienced by passengers during automated journeys present a significant challenge to their widespread adoption. Envisioned automated vehicle (AV) designs and their driving behavior are anticipated to provoke motion sickness and discomfort, impeding passengers’ ability to enjoy their commute time. Despite substantial investments in AV technology, the importance of motion comfort has been largely overlooked.

The transition from driver to passenger in automated vehicles will enable individuals to engage in non-driving related tasks (NDRT), a crucial aspect for the successful integration of AVs into our daily lives. However, participation in NDRTs is expected to exacerbate motion sickness and discomfort. In this regard, Virtual Reality (VR) holds promise as a useful tool. Firstly, passengers will seek more entertainment options while being driven, and VR can cater to this demand. Moreover, VR offers the ability to fully manipulate visual inputs and the passenger’s environment, enabling immersion in a boundless virtual space. For instance, this could provide users with the equivalent of multiple computer monitors to work with, an otherwise unattainable feat within the confined space of a car.

Advanced driver assistance systems are key to enhancing road safety. One of the critical requirements for such systems is to reliably perceive the environment. The state-of-the-art sensors, however, are not ubiquitously deployed in driver assistance systems due to their high cost. On the other hand, simpler low-cost sensing solutions suffer from poor perception. In this project, you will address this gap by combining sensing capacities of the human driver and the driver assistance system, to develop sensing solutions that are both affordable and reliable.

Your aim will be to develop signal processing algorithms and interfaces to incorporate human driver in the sensing loop of automated driver assistance systems. Your work will leverage the unique cognitive abilities of humans controlling these systems to process complex signals and make informed real-time decisions. The project will lay the foundations for understanding how human interaction with signal processing systems impacts transparency and ethical considerations in deploying hybrid human-in-the-loop solutions.

In this project, whether as a junior researcher or a postdoctoral researcher, you will have the opportunity to contribute to the development of innovative human-in-the-loop sensing solutions. You will be able to develop your skills in designing innovative human-in-the-loop sensing solutions, rapid prototyping, and evaluation of your solutions in driving simulator experiments with human participants.