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

This post-doctoral position makes fundamental advances in infrastructure planning and scheduling under uncertainty.  These advances will be applied to modelling of supply chain scenarios for offshore wind farm installation, including optimised planning schemes.

Researchers at TU Delft have developed design approaches that account for many different perspectives in major infrastructure projects including offshore wind farms.  These perspectives include manufacturing of parts, storage and transport capacity limitations, port congestion and strong dependence on weather conditions.  You will further develop and push towards application such approaches, to support the development of supply chain scenarios for wind farm installation.  You will lead optimisation of planning schemes for several practical cases, including the development of decision rules for the mitigation of disruptions.

Chlamydomonas reinhardtii are a photosynthetic algae that rely on light for photosynthesis and therefore survival. They detect light with a single eyespot that changes position during their motion; they then reorient their path towards or away from this source. The results of this project will help understand how these algae follow and adapt to stimuli. This will not only further our fundamental understanding for how organisms make decisions in a dynamic environment, but also help use steer algae into targetted microenvironments, with implications for designing living materials.

In this biophysics postdoctoral project, you will design and extend an experimental setup to measure the responsiveness chlamydomonas reinhardtii to light by imaging their motion. On the theoretical side, you will develop models for this motion, quantify the sensitivity to light and predict changes in motion for different stimuli; for this analysis, an interest in decision-making and stochastic processes is appreciated but not required. 

The aviation industry is confronted by the unique challenge, to achieve climate neutrality. This ambitious goal has profound implications requiring ultra efficient aircrafts, which require novel materials, production technologies and constructions. In this initiative Dutch companies and knowledge institutions work together to develop innovative solution for complex thermoplastic composite parts.

This postdoc position tackles the challenge of 3D microscale modelling of fiber-reinforced composites, with a focus on modelling the deformation of the constituents during the manufacturing stage. The thermplastic matrix region transitions from a viscous fluid to solid as temperature falls below the glass transition temperature. The fibers, embeded in the matrix region, may come into contact with each other during the process. Latest technologies on computational contact algorithms, fluid-structure interaction, particle methods, beam elements, etc., may be needed to effectively and efficiently simulate the deformation of such a material system during the manufacturing process. The objective is that such a numerical model would serve as a reliable virtual testbed to predict the influence of manufacturing conditions on the microscale properties of composites, e.g., the distributions of fiber density, waviness, and matrix defects.

Hundreds of billions of electronic components are manufactured annually, and find their way in e.g. phones, computers, sensors and displays.The core of any electronic component is a chip, which is a small piece of silicon manufactured using lithography-based wafer technology. However, every chip must be handled, positioned, and assembled to function effectively. Current most advanced chip assembly machines run at tens of thousands of products per hour. In order to keep up with the market demands, micro-chip assembly must become even faster, more accurate and more sustainable. This requires radically new assembly concepts and processes – and that’s where you come in!

We develop innovative micro-chip assembly processes, using micro-droplet physics and technology. This allows soft-contact chip handling, placement and alignment. Your research will help tackle key technical challenges, including handling ultra-small chips (<100 micrometers), achieving ultra-high precision (1-3 micrometers), and maximizing throughput.

Delft University of Technology is hiring a postdoc in the field of energy system economics and governance. As the energy system is being decarbonized, it is becoming increasingly integrated and therefore also more complex. Your work will involve performing research, often model-based, and working with stakeholders in the energy system, to help determine how markets and regulation should develop to facilitate the energy transition. In addition, you will help with coordinating research projects and, to a smaller degree, with eduction and project acquisition.

The research focuses on improving the design and regulation of markets for heat, electricity and gas (natural gas as well as hydrogen), considering their mutual relations and increasing interdependency. Models, both optimisation and (agent-based) simulation, play a large role in the research. The objective of the research is to improve the quality of decision making in the energy sector, both with respect to investment decisions and regulation. Much of this research will be performed in the context of the projects MODES (Market Organization of the Dutch Energy System) and DEMOSES (Designing and Modeling Systems of Energy Systems).

With a budget of 96 million Euro over the next decade, CropXR focuses on creating eXtra Resilient (XR), sustainable, and climate-adaptive crops. By combining plant biology, simulation modelling, and artificial intelligence we aim to develop ‘smart breeding and cultivation’ methods to speed up breeding for complex resilience traits in different growing systems for several crops. This collaborative effort involves four universities, numerous companies, and encompasses scientific research, data collection and sharing, education, and practical applications in agriculture and plant breeding. (Learn more about CropXR at cropx.org.)

This position is a collaboration between DCSC and KeyGene focused on the development of methodological and theoretical tools for the construction of data-driven models of the intricate biological mechanisms responsible for the resilience of crops. Part of the focus will be devoted to the development of novel approaches to guide the priorization of genes, identification of clusters thereof, and the construction of software tools to support biologists in this scientific endeavor.

KeyGene leverages cutting-edge data science technologies for Crop Innovation. Their interdisciplinary team excels in applying innovative methods using machine learning and AI to address data challenges in genomics, trait research, digital phenotyping, and breeding. They are committed to transforming and accelerating crop innovation to meet the advanced technological needs of their customers. The selected candidate is expected to spend 20% of his/her time at the KeyGene premises. The details of this schedule is to be determined with the selected candidate

Temperature sensing is fundamental to fields ranging from industrial process control to quantum technologies and biomedical applications. However, conventional temperature sensors face a key challenge: frequent recalibration, which increases costs and limits long-term accuracy. Our project tackles this issue by developing integrated optomechanical thermometry—a cutting-edge approach that leverages optical chips with mechanical resonators to achieve self-calibration, minimizing the need for external references.

As a postdoctoral researcher, you will play a crucial role in the PhoQuS-T consortium, an EU-funded initiative that unites leading experts in optomechanics, integrated photonics, and quantum sensing. Your primary responsibility will be to design, fabricate, and test novel optomechanical devices that enhance temperature sensing performance. This involves developing innovative self-calibration techniques, optimizing mechanical resonators, and implementing advanced optical readout schemes to push the limits of precision and reliability. Additionally, you will collaborate with academic and industrial partners, contributing to milestone deliverables such as prototype demonstrations and scientific publications.

In a world where efficient wireless communication is critical to connecting communities and driving technological progress, the DRASTIC project (Digital tRAnSmitTer ICs) is at the forefront of redefining how we transmit data. By developing innovative digital transmitter (DTX) integrated circuits for highly integrated and energy-efficient massive MIMO (mMIMO) base stations, our research directly addresses the growing global demand for more sustainable and reliable wireless networks. The DTX technology promises to revolutionize the industry by directly converting digital baseband data to RF power, potentially eliminating traditional analog linear TX chains. This breakthrough enables perfect waveform shaping and optimal RF-output operation, paving the way for future wireless systems with enhanced performance and reduced energy consumption.

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.

Postdoc positions are available in the group of Prof. Dr. Stephanie Wehner at Delft University of Technology (QuTech and Quantum Computer Science) in the following domains:

• Quantum Network Systems.  Our group has designed and demonstrated the first operating system for the execution of quantum network applications on different types of quantum hardware. In the past, we have also designed a  quantum network stack including the first link layer protocol, demonstrated on NV quantum hardware. Right now, our group is working on a range of quantum network system challenges, including quantum operating system concepts, compilation of network applications, and control plane algorithms and systems.
  The successful candidate has a strong background in classical or quantum network systems, operating systems or related systems research, and is excited by software systems research that works towards bringing quantum network technologies into the real world together with a diverse team from quantum hardware, software engineering, and quantum information.
• Quantum Network Applications. The goal of this position is to discover new applications and use cases for a quantum network, with an emphasis on use cases developed with end users. The successful candidate has a strong background in quantum information, and enjoys exploring new ideas in a close collaboration with people from different domains and disciplines.