36 Fully Funded PhD Programs at Forschungszentrum Jülich, Germany

Are you holding Master’s degree and looking for PhD positions – Fully Funded PhD Programs in Europe? Forschungszentrum Jülich, Germany inviting application for funded PhD Programs or fully funded PhD Scholarship. Forschungszentrum Jülich 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.

Forschungszentrum Jülich has huge a campus in Germany and widely known as for its contribution in top notch education and research. The contribution of Forschungszentrum Jülich 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 – Mixed analog-digital VLSI circuit design for neuromorphic systems

Summary of Doctoral Project:

There exists a substantial gap between the computational abilities of modern computers and those of the brain. The new Peter Grünberg Institute – Neuromorphic Compute Nodes (PGI-14) aims to close this gap and develop novel computing capabilities by incorporating some of the remarkable features found in biological brains. We aim to lower the energy consumption of today’s hardware while expanding our understanding of the fundamentals of computation. Practical application areas include AI and Machine learning, intractable NP-hard problems, scientific computing, and signal processing. We utilize novel technologies such as analog memristors combined with modern CMOS elements to build practical circuits and integrated chips for end-to-end demonstrations in the laboratory.

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2. PhD Position – Neuromorphic systems for solving hard optimization problems

Summary of Doctoral Project:

We aim to lower the energy consumption of today’s hardware while expanding our understanding of the fundamentals of computation. Practical application areas include AI and Machine learning, intractable NP-hard problems, scientific computing, and signal processing. We utilize novel technologies such as analog memristors combined with modern CMOS elements to build practical circuits and integrated chips for end-to-end demonstrations in the laboratory. The institute has close collaborations with the new Peter Grünberg Institute – Neuromorphic Software Ecosystem (PGI-15), as well as device, materials, circuit researchers and neuroscientists within other institutes at the Forschungszentrum Jülich.

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3. PhD Position – Neuromorphic architectures

Summary of Doctoral Project:

There are current openings for PhD students to develop scalable and flexible neuromorphic There are current openings for PhD students to develop scalable and flexible neuromorphic architectures targeting problems in A.I./Machine learning, optimization, associative computing, and probabilistic computing.

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4. PhD Position – Model-Based Analysis and Optimization of Intra- and Inter-Chip Communication for High Speed Computing

Summary of Doctoral Project:

In 2018, the European Union started with the European Processor Initiative (EPI) a long-term program with the goal to develop a low-power High Performance Computing (HPC) processor, to increase Europe’s sovereignty in the processor market. One major goal is chip-architecture optimization in order to deliver a competitive product with maximum compute throughput in 2024. For this task, modeling of the intra- and inter-chip communication is paramount, as it enables the design teams to perform a quick and cost-efficient exploration of various architecture variants. Within the ZEA-2 and in close collaboration with JSC, you will do your work on your thesis topic at the intersection between electronic design and High Performance Computing (HPC). Specifically, you will work in the context of modeling methodology and processor architecture exploration/optimization. Interest in practical programming as well as theoretic scientific work would be ideal prerequisites for this position.

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5. PhD Position – High Throughput Assembly, Characterization and Testing of Membrane Electrodes 

Summary of Doctoral Project:

Would you like to contribute to the energy transition in Germany through your work? Then the Helmholtz Institute Erlangen-Nürnberg (for Renewable Energy) (HI ERN) is the right place for you! The HI ERN forms the core of the close partnership between Forschungszentrum Jülich, Helmholtz-Zentrum Berlin for Materials and Energy, and Friedrich-Alexander-Universität Erlangen-Nürnberg at the Erlangen site. The collaboration relates to the areas of innovative materials and processes for photovoltaic energy systems and hydrogen as a storage and carrier medium for CO2-neutral energy. Support us researching and developing solutions for the climate-neutral, sustainable, and cost-effective utilization of renewable energies.

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7. PhD Position – Development of a stationary 3D tomography measurement system for high-resolution surveying of soils using georadar

Summary of Doctoral Project:

Against the background of global challenges such as climate change and the growing world population, Forschungszentrum Jülich is conducting research with a view to optimizing yields, improving soil and water conservation, and minimizing the impact of climate change. This requires a detailed understanding of the flow and transport processes in soils, as well as the dynamic development of root growth. One of several established measurement methods for such applications in geophysics is georadar. Georadar operates in the frequency range from about 200 to 2000 MHz. The coupling into the ground is done with antennas and is therefore non-invasive. In this way, characteristic soil properties such as electrical and dielectric conductivity can be determined.

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8. PhD Position – High Dimensional Multi Omics Data Integration

Summary of Doctoral Project:

Your project has the aim to develop novel (interactive) workflow tools for high dimensional data integration and data mining. The data used should comprise multiple omics disciplines e.g. transcripts, metabolites and epigenetic sig-nals. Currently many analyses comprise ad-hoc methods or “standard” procedures that are disjunct.

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9. PhD Position – Data-Driven Approaches to Rational Designs of Covalent Drugs

Summary of Doctoral Project:

The rational development of covalent inhibitors has been steadily increasing in the past decades. Numerous warheads have been developed, expanding the covalent warhead toolbox and allowing for selective targeting of specific amino acid residues. Covalent compounds are on the market or in advanced clinical trials. As more data emerge regarding safety and efficacy of covalent drugs, the structure-guided optimization and rational development needs to be improved. The PhD project aims at developing data driven models for the optimization of covalent docking procedures.

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10. PhD Position – The role of CO2 as a resource in a global greenhouse gas-neutral energy system

Summary of Doctoral Project:

Achieving a greenhouse gas-neutral energy supply is one of the greatest challenges of the 21st century. At the Institute of Energy and Climate Research – Techno-Economic Systems Analysis (IEK-3), we use integrated models to explore how possible cost-effective transformation strategies must be designed to achieve this. Become part of our international research team and contribute your ideas and creativity on how a future global greenhouse gas neutral energy system could look like. Your main task will be the integration of CO2 process chains into our global energy system model based on the FINE model framework. A particular focus will be on the use in power-to-liquid products as well as possible CO2 sources in a greenhouse gas neutral energy system.

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11. PhD Position for Quantum Computing – Algorithms, Benchmarking and Simulations

Summary of Doctoral Project:

Supercomputers help us to find solutions to major scientific challenges and are indispensable for modern research. The Jülich Supercomputing Centre (JSC) operates one of the most powerful computer systems for scientific and technical applications in Europe and makes it available for research purposes to scientists at Forschungszentrum Jülich, in Germany, and throughout Europe. The Jülich UNified Infrastructure for Quantum computing (JUNIQ) integrates quantum computers (QC) and quantum annealers in the form of quantum-classical hybrid computing systems into the modular high performance computing environment of the JSC. In co-operation with the research group for Quantum Information Processing of the JSC, JUNIQ is involved in several cutting-edge research activities developing QCs and quantum algorithms as well as provides access to latest QC technology for researchers and industrial partners.

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12. PhD-Position: Data-driven modelling for power system operation

Summary of Doctoral Project:

The increasing availability of data has motivated the whole scientific community in developing data-driven approaches (e.g. based on machine learning) for the analysis and operation of modern power systems. At IEK-10, you will focus on the development of new methodologies for the development of data-driven models using probabilistic machine learning approaches and demonstrate the use of such models in power systems operation. A large volume of data is available at IEK-10 for validation of the developed methods.

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13. PhD Position – Cryogenic Digital-to-Analog Converter Design in CMOS for Quantum Computing Applications

Summary of Doctoral Project:

Our team is working on integrated circuits (ICs) which combine analog and digital components from modern CMOS technologies. One research focus is the development of ICs for scalable control and read-out of semiconductor quantum bits (qubits) for Quantum Computing (QC). The ICs will be operated at temperatures below 1 Kelvin, generating very special requirements on circuit design as well as ultra-low power consumption. The focus of this doctoral work will be on the design and implementation of a Digital-to-Analog Converter (DAC) operated at cryogenic temperatures with the goal of locally tuning qubits into their operational state. The addition of innovative digital-assistance techniques to boost the DAC’s performance should be evaluated and integrated depending on a trade-off to power and area.

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14. PhD Position – Data-driven model regression for plasma catalytic processes

Summary of Doctoral Project:

There is growing interest in the plasma assisted activation of low-energy molecules offering an alternative route for synthesis of high-quality fuels and high-value chemicals. The use of non-equilibrium plasmas at atmospheric pressure is particularly attractive because they are the easiest to combine with standard chemical processes. In the framework of the DFG funded CRC1316 subproject A3 experimental and theoretical studies are carried out at the Research Center Jülich (FZJ) and the Ruhr-University Bochum (RUB) to investigate flexible and efficient mass transfer processes using a combination of non-equilibrium atmospheric pressure plasmas with catalytic surfaces.

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15. PhD Position – Photonics based on SiGeSn heterostructures

Summary of Doctoral Project:

The integration of photonics components with electronics on the same microchip may potentially solve the bandwidth bottleneck in modern computers and allow devices with decreased power consumption. Nevertheless, light emission from Si -the material underpinning the whole digital world- is inefficient because of its indirect bandgap. Recently SiGeSn semiconductors, a Si-group alloys proved to be a strong candidate to finally add/extend the Si photonics with Si-based laser sources. Si-Ge-Sn heterostructures have been already tested in optoelectronic devices such as light emitting diodes, field effect transistors or detection pixels in the short-wave infrared range. However, energy efficient electrical pumped lasers, and more complex sensing and imaging devices are still to be demonstrated for practical applications.

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16. PhD Position – Development of an Open-Source Model Framework for Identifying Wind Power Potentials

Summary of Doctoral Project:

The large-scale expansion and deployment of renewable energies (RE) is an important means of reducing greenhouse gases. The location-specific determination of RE potentials is therefore an important basis for energy industry decision-makers to plan the future energy system. Within a national research project, an open-source framework is to be developed, allowing optimization and simulation methods to be flexibly integrated into model workflows and used for these potential analyses. The focus is on the optimal exploitation of wind power potentials, which are determined on the basis of high-resolution weather and geodata. In order to increase the transparency and traceability of investigation results, the model framework will support the reproducibility of model workflows.

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17. PhD Position – Ionic Liquid-Tuned Interfaces for the Electrochemical Reduction of Carbon Dioxide

Summary of Doctoral Project:

You will be part of the Electrocatalysis research department (https://www.hi-ern.de/hi-ern/Electrocatalysis), which research area is an investigation of fundamental aspects of the electrolyte-electrode interface during applied processes of conversion of electrical to chemical energy. Our aims are to develop an efficient methodology for the electrochemical transformation of readily available feedstock (bio-mass) to value-added or fuel products. Besides commonly used offline analytical methods, in the department of Electrocatalysis, a unique platform for online (real-time) analysis of electrochemical processes is developed, proving to be a powerful analytical support for the conducted research.

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18. PhD Position – Co-design of Remote Sensing Applications in Modular Supercomputing Architectures

Summary of Doctoral Project:

The main objective of the PhD project is to develop novel processing workflows based on parallel machine learning algorithms that can scale on heterogeneous HPC technologies. This will improve the access to and analysis of the vast amount of high-resolution and multi-source remote sensing data. In the context of the EUPEX project, you will co-design, test and validate your algorithms on the EUPEX pilot system, which will rely on European technologies in general and on European Processor Technology (EPI).

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19. PhD Position – Plant root water uptake and its dependence on soil types

Summary of Doctoral Project:

Water uptake by plant via its roots and subsequent transpiration via the leaves is not only vital for the plants themselves but beyond that, also for the global water cycle as the plants transpire about forty percent of terrestrial precipitation. However, root water uptake is a very difficult process to measure in situ because of the opaque nature of soil. The goal of this project is to determine the influence of different soil types on root water uptake and plant development via different types of measurements combined with a sophisticated 3D computer model of plant soil systems.

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20. PhD Position – Development of new UHV Technologies for the “Einstein Telescope for Graviational Waves Detection”

Summary of Doctoral Project:

You would like to use your engineering skills to make an effective contribution to solving the major challenges facing society, e.g. in the fields of information, energy and bio economy? Then the Central Institute for Engineering, Electronics and Analytics – Engineering and Technology (ZEA-1) – of Forschungszentrum Jülich is the right place for you. Here, you will design, develop and manufacture scientific and technical devices, systems and processes for which there is as yet no technical or commercial solution and which are not available on the market.

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21. PhD position: Model informed data acquisition for emission flux estimation using 4-dimensional variational data assimilation

Summary of Doctoral Project:

Observations of atmospheric constituents provide detailed information about the state of the atmosphere but lack in temporal or spatial resolution. Numerical models provide a temporally and spatially resolved analysis of the atmosphere but lack of accuracy due to various uncertainties in the input data. Data assimilation methods enable to combine observational accuracy and model resolution for reliable analyses of the atmosphere. How-ever, the information content of many diverse observations from different platforms on the analyses remains unclear. The aim of the PhD-project is to setup an optimal experimental design method to optimally sample from the heterogeneous observational data as input for the EURAD-IM data assimilation system. Therefore, the information content of different observing systems is analysed with focus on emission flux and model state estimations.

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22. PhD Position on “Simulating Cytoskeletal Dynamics”

Summary of Doctoral Project:

The institute has a strong track record in computer simulations of active matter. We have recently started to develop models to simulate mixtures of cytoskeletal filaments and molecular motors. In this PhD project, we aim to investigate flows and active force generation in the cytoskeleton of biological cells. We will address the system from the point of view of ‘living matter’ and focus on the non-equilibrium physics aspects of the system. Your research will have a strong focus on high performance computing for networks of cytoskeletal filaments, molecular motors, and crosslinkers.

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23. PhD position – Data-Driven Distribution Models for Robust Design of Island Energy Systems with a High Share of Renewable Electricity

Summary of Doctoral Project:

Optimization-based design of future energy systems is subject to uncertainties that stem from the intermittent and non-dispatchable renewable electricity sources. Fluctuation in local renewable electricity supply usually can be balanced via grid connection. However, some systems, e.g., island systems, require robustness against the uncertainty in their electricity sources. Robust optimization techniques allow to arrive at robust system designs but rely on accurate distribution models for the uncertain data at hand. In particular, distribution models for uncertain time series like renewable electricity generation remain a largely unexplored field in robust design.

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24. PhD Position – Conception, Design and Development of Modern Power System Simulation and Control Solutions

Summary of Doctoral Project:

IEK-10 focuses on the development of models and algorithms for simulation and optimization of decentralized, integrated energy systems. Such systems are characterized by high spatial and temporal variability of energy supply and demand as well as by a high degree of interdependency of material and energy flows. Research at IEK-10 aims to provide scalable and faster than real-time capable methods and tools which enable the energy-optimal, cost-efficient and safe design and operation of future energy systems.

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25. PhD-Position – Conception, Design and Development of Multi-FPGA Simulation Methods for Real-time Verification of Power Electronics enabled Energy Systems

Summary of Doctoral Project:

At the Institute of Energy and Climate Research Energy Systems Engineering (IEK-10) we focus on the development of models and algorithms for simulation and optimization of decentralized, integrated energy systems. Such systems are characterized by high spatial and temporal variability of energy supply and demand as well as by a high degree of interdependence of material and energy flows. Research at IEK-10 aims to provide scalable and faster than real-time capable methods and tools which enable the energy-optimal, cost-efficient and safe design and operation of future energy systems.

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26. PhD Position – Methodical Conception, Design and Development of Modern Multi-Modal Energy System Simulation

Summary of Doctoral Project:

At the Institute of Energy and Climate Research Energy Systems Engineering (IEK-10) we focus on the development of models and algorithms for simulation and optimization of decentralized, integrated energy systems. Such systems are characterized by high spatial and temporal variability of energy supply and demand as well as ba a high degree of interdependence of material and energy flows. Our research at the IEK-10 aims to provide scalable and faster than real-time capable methods and tools which enable the energy-optimal, cost-efficient and safe design and operation of future energy systems.

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27. PhD position – Use of Hardware Solutions for Modern Energy System Simulation and Control

Summary of Doctoral Project:

At the Institute of Energy and Climate Research Energy Systems Engineering (IEK-10) we focus on the development of models and algorithms for simulation and optimization of decentralized, integrated energy systems. Such systems are characterized by high spatial and temporal variability of energy supply and demand as well as by a high degree of interdependency of material and energy flows. Our research at the IEK-10 aims to provide scalable and faster than real-time capable methods and tools which enable the energy-optimal, cost-efficient and safe design and operation of future energy systems.

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28. PhD position – Development and application of high-performance models for the analysis of European energy systems 

Summary of Doctoral Project:

Advertising division: IEK-10 – Energy Systems Engineering Reference number: 2021D-035 apply now job (pdf) test At the Institute of Energy and Climate Research – Energy Systems Engineering (IEK-10 we focus on the development of models and algorithms for simulation and optimization of decentralized, integrated energy systems. Such systems are characterized by high spatial and temporal variability of energy supply and demand as well as by a high degree of interdependence of material and energy flows. Our research aims to provide scalable and faster than real-time capable methods and tools which enable the energy-optimal, cost efficient and safe design and operation of future energy systems.

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29. PhD Position – Chemical mechanism development of atmospheric VOC degradation aided by pattern analysis of high-resolution mass spectrometric data

Summary of Doctoral Project:

At the Institute for Energy and Climate Research, Troposphere (IEK-8), we investigate the chemical and physical processes in the troposphere that impact the chemical composition of the atmosphere. Organic compounds impact the air quality and climate change. Their oxidation chemistry leads to highly oxygenated organic molecules (HOM) and secondary organic aerosol (SOA) formation. We explore photochemical degradation of organic compounds by applying chemical ionization mass spectrometry. The high resolution mass spectrometry provides a multitude of simultaneous information about the oxidized organic species evolving in the degradation process.

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30. PhD-Position: Monitoring of Energy Systems for Control Purpose

Summary of Doctoral Project:

At the Institute of Energy and Climate Research – Energy Systems Engineering (IEK-10) we focus on the development of models and algorithms for simulation and optimization of decentralized, integrated energy systems. Such systems are characterized by high spatial and temporal variability of energy supply and demand as well as by a high degree of interdependence of material and energy flows. Our research at IEK-10 aims to provide scalable and faster than real-time capable methods and tools which enable the energy-optimal, cost-efficient and safe design and operation of future energy systems.

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31. PhD-Position: Operation of Local Energy Communities

Summary of Doctoral Project:

The concept of organizing energy systems in Local Energy Communities (LEC) coordinated across multiple energy carriers has gained significant attention in the last few years as a way to combine local coordination with the need for national and international interconnection. In the EU framework, LECs have been recognized by the EU as a key component of the energy transition. The European Commission’s Clean Energy Package has also defined a legislative framework for the operation of LECs that aim at participation of LECs in energy markets. While coupling of multiple energy carriers seems a promising solution to further reduce carbon emission and to maximize generation from renewable sources, their coordinated operation is still a challenge.

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32. PhD Position – Graph Convolutional Neural Networks in computational enzyme engineering

Summary of Doctoral Project:

Data is the new resource of the 21st century, and data availability seems endless. Would you like to establish part of the data relationship lifecycle for plant science? Then the Institute of Bioinformatics at Research Centre Juelich is the right place for you. The newly founded Institute of Bioinformatics (IBG-4) at the Institute of Bio- and Geosciences works on and develops methods and algorithms to understand, predict, and modulate molecular recognition involving biomolecules from an atomistic perspective. The team focuses on structural and molecular bioinformatics, data integration, computational enzyme engineering, computational next-generation catalysis, and computational biophysical chemistry.

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33. PhD Position: Method development of cryo-STEM imaging

Summary of Doctoral Project:

This PhD position is dedicated to the advancement of Cryo-EM imaging methods at the interface of Structural Biology and Electron Imaging. Cryo-EM has become a very powerful method to visualize ice-embedded samples including purified proteins at close to atomic resolution. Single-particle cryo-EM as well as cryo-ET are based on conventional transmission electron microscopy (TEM) exposures taken in underfocus. In this project, we aim to further develop the imaging capabilities based on scanning transmission electron microscopy (STEM) including differential phase contrast as well as ptychography in order to apply them to vitrified biological specimens.

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34. PhD Position – The Role of Agriculture in the Global Energy Transition

Summary of Doctoral Project:

At the Institute of Energy and Climate Research – Techno-economic Systems Analysis (IEK-3), we use integrated models to research how we can achieve a sustainable energy system and what it might look like. For this purpose, we develop a variety of highly complex and very detailed techno-economic models with which we consider local and global energy systems in an integrated way in order to support the progress of the energy transition in the best possible way. For this work, the understanding of global greenhouse gas emissions as well as the current and future distribution of land for the provision of renewable energies is of particular interest.

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35. PhD Position – Integrating Large-Scale Energy System Models into High Performance Computers

Summary of Doctoral Project:

Large energy system models optimize the size, allocation and operation of components based on simplified assumptions and finite time steps. Currently, their maximum size and level of detail is limited by the capabilities of commercial solvers such as Gurobi and the computational resources. Therefore, the integration of energy system models into high performance computers is a crucial step to optimize the future energy system of Europe to a high level of detail.

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36. PhD Position – Coherent Control of Correlations in Spin Systems using Scanning Probe Methods

Summary of Doctoral Project:

Quantum Nanoscience is a novel research field in which quantum effects, such as quantum state superposition, entanglement and coherence, are studied in nanoscale systems. The goal of our research is to explore nanostructures with novel properties which eventually can be used in emerging quantum technologies, such as quantum computing, quantum communication, and quantum sensing. These quantum technologies drive the so-called second quantum revolution. We use our extensive knowledge in surface science and nanoscience to contribute to quantum nanoscience and its primary goal: the manipulation and exploitation of quantum-coherent functionality in nanostructures ranging from single atoms and molecules to collective phenomena in self-assembled or by means of atom manipulation techniques designed structures.

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