12 Fully Funded PhD Programs at Forschungszentrum Jülich, Germany

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If you’re a Masters degree holder and seeking Fully Funded PhD Programs, Forschungszentrum Jülich, Germany has several online applications open for PhD programs. Explore the PhD opportunities across diverse research areas and submit your application soon.

1. Fully Funded PhD Position in Mechanisms of Glutamate Transporter Dysfunction in Neurological Diseases

Summary of PhD Program:

The PhD project focuses on a family of glutamate transporters – excitatory amino acid transporters – that is responsible for synaptic glutamate homeostasis in the mammalian brain. Mutations in genes encoding these transporters cause genetic forms of epilepsy and episodic ataxia. We are interested in understanding how these mutations modify transport functions. The project is based on a combination of molecular dynamics simulations and experimental techniques (solid-supported membrane electrophysiology, fluorescence spectroscopy), with the aim to understand transproter dysfunction at atomic resolution.

Application Deadline: Open Until Filled

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2. Fully Funded PhD Position in Electrochemical Engineering of Next Generation Water Electrolysis cells

Summary of PhD Program:

The electrocatalytic interface engineering department led by Prof. Dr.-Ing. Simon Thiele focuses on synthesis, manufacturing, analysis and simulation of functional materials to find an optimum structure on small scales from the micrometer to the nanometer scale. The investigated materials and systems play an essential role in sustainable technologies like water- and CO2-electrolyzers, as well as in fuel cells.

Application Deadline: Open Until Filled

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3. Fully Funded PhD Position in Design and Control Theory of NV-Based Quantum Simulators

Summary of PhD Program:

The Peter Grünberg Institute for Quantum Control (PGI-8) at the Forschungszentrum Jülich specialises in novel optimisation strategies for emerging quantum technologies. These emerging technologies aim to provide transformative changes to our society, including how we think about information, and unlocking vast calculations for the natural sciences, logistical problem solving, and high-performance computation. Our institute has pioneered the application of quantum optimal control methods to quantum computation and many-body quantum systems. This includes the development of physical models and model reduction techniques as well as algorithmic advances of in-situ optimisation and machine learning to tackle the complex processes inherent to scalable quantum devices.

Application Deadline: Open Until Filled

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4. Fully Funded PhD Position in Catalyst Development in the Department Chemical Hydrogen Storage

Summary of PhD Program:

You will be part of the top-class scientific department “Chemical Hydrogen Storage” at the renowned HI ERN. Under the direction of Prof. Dr. Peter Wasserscheid and Dr.-Ing. Michael Geißelbrecht, our department researches and develops a wide range of topics related to chemical hydrogen storage along the entire process chain. In particular, issues in the field of the LOHC technology are addressed across different scales. These topics include the development of tailor-made catalysts, the development and modeling of reactors, and the realization of demonstrators. The department is a world leader in the field of LOHC technology. Become part of this innovative research team!

Application Deadline: Open Until Filled

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5. Fully Funded PhD Position in Plant Systems Biology

Summary of PhD Program:

Data is the new resource of the 21st century, and its availability seems boundless. If you`re passionate about contributing to the establishment of a crucial segment in the data relationship life cycle for plant science, we invite you to join the Omics-/Database-based Bioinformatics division (IBG-4) at the Institute of Bio- and Geosciences at Forschungszentrum Jülich. IBG-4, led by Prof. Dr. Usadel, specializes in data integration, classical bioinformatics, Data Science, and machine learning. The research group, “Sequence-based Bioinformatics,” is dedicated to analyzing plant genomes to assess their potential use in breeding strategies.

Application Deadline: Open Until Filled

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6. Fully Funded PhD Position in Functional-Structural Plant Modelling

Summary of PhD Program:

The work will be part of the BMBF project “Rhizosphere processes and yield decline in wheat crop rotations (RhizoWheat)” in collaboration with University of Kiel, the Institute of Sugar Beet Research and the Julius-Kühn-Institut, Institute for Epidemiology and Pathogen Diagnostics. The RhizoWheat project will investigate the effect of different pre-crops in crop rotations on wheat growth and performance. Simulation modelling will be used for an in-depth mechanistic analysis of pre-crop effects and to extrapolate pivotal research findings depicted within the models for future climate scenarios. You will be responsible to extend and parameterise the functional-structural plant model CPlantBox to support crop modelling with relevant root traits and functions. 

Application Deadline: Open Until Filled

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7. Fully Funded PhD Position in Mathematical Modelling of the Soil-Root-Mycorrhiza System

Summary of PhD Program:

This work will be part of the DFG project “Texture Dependency of Arbuscular Mycorrhiza Induced Plant Drought Tolerance (TeAM-uP)” in collaboration with the Leibniz Institute of Vegetable and Ornamental Crops, the University of Bayreuth, the Technical University of Munich, and the Czech Academy of Sciences. The TeAM-uP project will investigate the effects of arbuscular mycorrhizal fungi (AMF) on soil and rhizosphere hydraulic properties and its consequences for host plant water and nutrient uptake as well as carbon flows under drought conditions.

Application Deadline: Open Until Filled

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8. Fully Funded PhD Position in Modeling and simulation of memristive devices for application in neuromorphic systems

Summary of PhD Program:

The aim of this doctoral project is to develop physical simulation models for memristive devices. In particular, a compact model that describes the switching behavior of gradual switching VCM cells has to be developed. Based on the models, design rules for the usage of memristive components shall be concluded. Various commercial simulation tools and self developmed environments are available at the institute for this purpose. The work is being done as a part of a team of PhD students covering the range from atomistic calculations and modeling of compact models to circuit design.

Application Deadline: Open Until Filled

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9. Fully Funded PhD Position in AI with HPC – Advancing Earth Observation through Foundation Models

Summary of PhD Program:

You will join the Simulation and Data Lab `AI and Machine Learning for Remote Sensing`, which aims to enhance visibility in interdisciplinary research between applications from remote sensing and large-scale AI with high-performance and innovative computing. You will conduct independent research on self-supervised learning, focusing on applications in satellite remote sensing, but also considering the potential to apply these methods to different domains. 

Application Deadline: Open Until Filled

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10. Fully Funded PhD Position in Transient Spectroscopy of Halide Perovskites for Photovoltaics

Summary of PhD Program:

The Institute for Energy and Climate Research 5 – Photovoltaics (IEK-5) performs research on various aspects of photovoltaic materials and devices, including the emerging class of perovskite solar cells. Perovskite solar cells are a promising solar cell technology that enables printable, flexible and lightweight solar cells. To better understand and quantify efficiency losses, researchers use a variety of characterization methods that include various types of spectroscopy methods. Within this project, we will specifically studied the transient photoluminescence method and try to improve data analysis of photoluminescence transients on perovskite layers, layer stacks and complete devices using machine learning techniques. Our approach is based on a variant of Bayesian inference, where we use trained neural networks (supervised learning) to rapidly compare the experimental data with the output of a numerical model.

Application Deadline: Open Until Filled

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11. Fully Funded PhD Position in Data Mining, Inference, Prediction and Simulation in Semiconductor material

Summary of PhD Program:

The multidisciplinary Institute for Advanced Simulation – Materials Data Science and Informatics (IAS-9) brings together disciplines ranging from data analysis and machine learning to materials simulation, research data management and software development under one roof. In doing so, we extract new information from simulations and experiments, identify patterns, structure, and trends in microscopy data, and ultimately improve our understanding of why materials, processes, or general systems work the way they do. To do this, we use a wide range of different methods, from classical statistical analysis through machine learning to method of artificial intelligence. One focus of our research activity is on data mining and high-throughput/on-the-fly analysis of microscopy data, but we are equally enthusiastic when it comes to other data, for example for extending classical simulations with data-based models. In many cases, “injecting” scientific domain knowledge into machine learning models is an important amplifier for the models we develop.

Application Deadline: Open Until Filled

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12. Fully Funded PhD Position in Foundation model for hydrological downscaling

Summary of PhD Program:

In this position, you will be an active part of our ESDE research group and the HClimRep consortium. You will contribute to the development of the HClimRep foundation model for climate predictions and create an application of this model for hydrological downscaling. The model will extend the proven AtmoRep concept. which is at the forefront of international AI research. We are looking for an enthusiastic researcher who is quick to grasp new concepts and ideas and can solve complex problems with high-quality software solutions. You will work with machine learning, HPC, and domain science experts and design workflows for training, running, and evaluating a downstream application of HClimRep that will deliver high-quality ecohydrological forecasts for drought, flood, and ecosystem analysis.

Application Deadline: Open Until Filled

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