Are you holding Master’s degree and looking for fully funded PhD positions? Forschungszentrum Jülich, Germany invites online application for multiple funded PhD Programs / fully funded PhD positions in various research areas.
Candidates interested in fully funded PhD positions can check the details and may apply as soon as possible. Interested and eligible applicants may submit their online application for PhD programs via the University’s Online Application Portal.
1. Fully Funded PhD Position in Interfacial structures of LOHC molecules
Summary of PhD Program:
Would you like to actively shape the structural change in the Rhenish mining area together with us? With us you have the chance to join the newly founded Institute for Sustainable Hydrogen Economy (INW) with your ideas right from the start. Together with the H2 demonstration region, the INW forms the “Helmholtz Cluster for sustainable and Infrastructure-Compatible Hydrogen Economy” (HC-H2). Here, scientific foundations are laid in the field of innovative hydrogen technologies in order to advance research and development approaches with high sustainability potential and attractive economic prospects. You will be part of the institute`s department INW-1. In INW-1, the focus is on the elementary processes on the catalyst surface during the hydrogenation and dehydrogenation of hydrogen storage molecules. If you are interested in the topics of energy transition, sustainability and chemical hydrogen storage, then you are in your element here. Become part of the team and make the world a bit more sustainable!
Application Deadline: Open until filled
2. Fully Funded PhD Position in System-level integrated circuit design and modeling for scalable quantum computing architectures
Summary of PhD Program:
We are working on scalable electronic architectures based on semiconductor spin quantum bits (qubits) to make the vision of a universal quantum computer reality. For scaling up the number of qubits into the millions, it is crucial to move parts of the control electronics closer to the qubits. To achieve this, we design and implement cryogenic integrated circuits for qubit control and readout in state-of-the-art CMOS technologies. Since qubits are extremely sensitive and operate in temperatures at low millikelvin levels, the requirements on power consumption, noise and area are severe. For this reason, it is necessary to develop new and groundbreaking architectures and circuit topologies. Modeling electronics and their interfaces to qubits in this challenging environment is an essential part of this.
Application Deadline: Open until filled
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3. Fully Funded PhD Position in CO2 Electrolysis and Real-Time Mass Spectrometry Monitoring
Summary of PhD Program:
Organic Electrosynthesis has recently emerged as a powerful application for future sustainable chemical processes, Its selectivity and efficiency however rely on developing dedicated catalytic materials. Due to the poor time resolution of offline analytical methods, conventional try-and-error experiments are generally non-informative concerning monitoring electrode process transients and thus inapplicable for high-throughput experimentations, essential for the complexity of reaction parameters to optimize. You will be part of a team to advance and utilize a unique platform for online real-time analysis employing Mass Spectrometry for the investigation of selective and efficient chemical CO2 utilization in electrochemical processes.
Application Deadline: Open until filled
4. Fully Funded PhD Position in Algorithm-Circuit Codesign for Neuromorphic Computing with Memristors
Summary of PhD Program:
There is a current opening for a doctoral project exploring energy-efficient memristor-based processing, inspired by the neuro-computational and biophysical properties of the cortex. The project area addresses a large class of critical problems that challenge both algorithms and hardware: efficient edge processing of (spatio-)temporal patterns from sensors, such as health monitoring on wearable devices. The challenging task can be described as processing general time-series signals, possessing rich long-short term correlations and scaling variations, with a tight energy consumption budget. The proposed approach combines findings from neuroscience in understanding how the brain performs efficient mixed-signal processing (e.g. in dendritic arbor and plateau potentials) with existing state-of-the-art deep learning techniques (e.g. Transformer networks and variants). By leveraging novel memristor device capabilities in in-memory computing architectures, we aim to bring higher computing performance and efficiency to critical edge operations.
Application Deadline: Open until filled
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5. Fully Funded PhD Position in High Performance Computing Solutions for Energy Systems
Summary of PhD Program:
Computing performance plays a very critical role in the use of model-based approaches to the planning, design, and operation of energy systems. At IEK-10, the department of High -Performance Computing focuses on the development of innovative methodologies for the parallelization of simulation algorithms as well as on the best exploitation of hardware architectures. In this context, we are developing an innovative High Performance Computing (HPC) solver for the parallel-in-time simulation of multi-modal energy system with founding from Helmholtz Foundation and DFG.
Application Deadline: Open until filled
6. Fully Funded PhD Position in Exascale Simulation of Power Grids
Summary of PhD Program:
With the increasing implementation of controllable grid elements in electricity grids, the complexity of the regulation and control of grid operation has increased significantly. In particular, the increased use of converter-based grid elements brings additional flexibility potentials for grid management, the use of which, however, cannot be trivially determined. For instance, powerful HVDC stations based on VSC technology can have a significant (positive) influence on the AC grid not only by controllable active power flows but also by providing reactive power and other grid services. To be able to handle the increasing complexity of grid planning and operation, one promising approach is the massively parallelized simulation of energy grids using (exascale) supercomputers.
Application Deadline: Open until filled
7. Fully Funded PhD Position in Modelling of Power Grids for High Performance Computing Simulation
Summary of PhD Program:
The increasing share of fluctuating renewable energies in electricity generation leads to increased volatility as well as a strongly changed distribution of the power fed into the grid. This increases the requirements on the flexibility of the system and the operation of power grids. Additional electricity demand to decarbonize various energy sectors, such as transport and heating, as well as intersectoral flexibility options such as power-to-X lead to increasing sectoral interdependencies. Your task is to support our institute in the development of power grid models that are able to analyze this interaction of energy networks (electricity, gas, heat) and markets at high resolution.
Application Deadline: Open until filled
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8. Fully Funded PhD Position in Digital process development for membrane-based separation of biomolecules
Summary of PhD Program:
This specific project (DC7) addresses membrane adsorbers, which have small footprints and can be operated at high flow rates. The combined design of porous structures, functional groups and operating conditions opens a wide portfolio of applications for membrane adsorbers. Numerous impact factors pose a challenge for device characterization and process development. Process models similar to the general rate model for packed bed chromatography will be used for tackling this challenge and exploring the applicability of porous membranes. Digital tools will also be made available for smart operation and control of automated systems.
Application Deadline: Open until filled
9. Fully Funded PhD Position in Compression effects in cross flow filtration cassettes across scales
Summary of PhD Program:
This EU-funded project is part of the international training network Bio-GENTLE, which will connect professionals of various backgrounds from academics and industry. A unique interdisciplinary approach combines fundamental analysis, experimentation, and mathematical modeling to create a flexible bioseparation platform. A cohort of 12 doctoral candidates will be trained and experience the complete chain from materials properties to process design and evaluation.
Application Deadline: Open until filled
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10. Fully Funded PhD Position in Structure-property relationships in the dimethyl ether/CO2 system for the hydrogen storage cycle
Summary of PhD Program:
Would you like to actively shape the structural change in the Rhenish mining area together with us? With us you have the chance to join the newly founded Institute for Sustainable Hydrogen Economy (INW) with your ideas right from the start. Together with the H2 demonstration region, the INW forms the “Helmholtz Cluster for sustainable and Infrastructure-Compatible Hydrogen Economy” (HC-H2). Here, scientific foundations are laid in the field of innovative hydrogen technologies in order to advance research and development approaches with high sustainability potential and attractive economic prospects. You will be part of the institute`s department INW-1. In INW-1, the focus is on the elementary processes on the catalyst surface during the hydrogenation and dehydrogenation of hydrogen storage molecules. If you are interested in the topics of energy transition, sustainability and chemical hydrogen storage, then you are in your element here. Become part of the team and make the world a bit more sustainable!
Application Deadline: Open until filled
11. Fully Funded PhD Position in Lattice field theory
Summary of PhD Program:
The Jülich Supercomputing Centre (JSC) operates JUWELS one of the most powerful supercomputers in Europe, runs JUNIQ, the first European user infrastructure of quantum computing, and will be home to Europe`s first exascale computer JUPITER. Within the division HPC for Quantum Systems, the Simulation and Data Laboratory (SDL) Numerical Quantum Field Theory aims to understand the properties of strongly interacting/correlated matter, with scientific objectives ranging from the study of nucleon properties to strongly correlated electronic systems, such as carbon nanostructures. To study these systems, the SDL develops algorithms and implementations for various high-performance computing (HPC) systems.
Application Deadline: Open until filled
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12. 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
13. Fully Funded PhD Position in Development of Regional Decarbonization and Adaptation Plans
Summary of PhD Program:
We offer a challenging and innovative PhD position within the international EU project LOCALISED. You will play a key role in the development of regionally adapted plans for the European energy transition. Your research will focus on the creation and implementation of regional plans, individually tailored for all European regions. In particular, in this dissertation, you will work on refining the ETHOS.MIDAS model developed in the last two years. You will identify and quantify new measures for decarbonization and adaptation to climate change. You will refine the existing model and expand it to include new dimensions such as social justice or health. And you will perform calculations and validations for all European regions at the NUTS-3 level.
Application Deadline: Open until filled
14. 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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15. 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
16. Fully Funded PhD Position in Theory and modelling of electrochemical transport and reaction phenomena in nanoporous materials
Summary of PhD Program:
Nanoporous materials are key components in electrochemical hydrogen technologies, most importantly in the form of electrocatalytic layers (ECLs) of fuel cells and electrolysers. The nanoporous structure steers the transport of ions, water, and gas molecules, and it maximizes the active interfacial area between electrode and electrolyte phases. A deep understanding of the complex interplay between electrokinetic transport, surface charging, and interfacial reactivity under nanoconfinement is essential for the optimal design of next-generation ECL materials. As a PhD candidate at Theory and Computation of Energy Materials, you will be part of a new German–Canadian research collaboration elucidating how to selectively control electrochemical transport and reaction phenomena in catalysed nanoporous membranes.
Application Deadline: Open until filled
17. 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
18. 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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19. 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
20. 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
21. 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
22. Fully Funded PhD Position in Adsorbate diffusion on catalyst surfaces via neutron scattering
Summary of PhD Program:
Understanding energy materials is crucial to a sustainable design of our environment. The Jülich Centre for Neutron Science – Neutron Analytics for Energy Research (JCNS-3) is placed in the interdisciplinary field of chemistry, physics, and material sciences. One of our research goals is a better understanding of nanostructured interfaces, because of their importance in catalysis and for energy materials. The details of diffusional mobility of chemical reactants and adsorbate species on catalyst surfaces remain unresolved for a large variety of materials. For understanding catalytic processes like for the methane production, it is important to get atomistic insight into the way how hydrogen and methane molecules bind and move on catalyst surfaces.
Application Deadline: Open until filled
23. Fully Funded PhD Position in AI with HPC – Advancing Earth Observation through Foundation Models
Summary of PhD Program:
Do you have a Master`s degree in science, technology, engineering, or math? Have you applied AI techniques, preferably using self-supervised learning? Then it is time to broaden your views! Our Simulation Data Lab `AI and Machine Learning for Remote Sensing` is seeking to hire PhD students interested in tailoring self-supervised learning for applications in Earth observation. We identify challenging datasets, formulate novel research questions, train large-scale models, and strive to expand the limits of what is achievable with AI and supercomputing. For our work, we have access to large HPC systems and are interested in exploring how large amounts of unlabeled data, combined with extensive computational resources, can be leveraged for exciting real-world use cases involving satellite data and other modalities.
Application Deadline: Open until filled
24. Fully Funded PhD Position in Simulation-based development of high-voltage cathode materials for Na-ion batteries
Summary of PhD Program:
Sodium-ion batteries are the most promising replacement for currently-used lithium-ion batteries owing to the lower price and availability of sodium salts, for which the resources are unlimited. The aim of this project is to find superior cathode materials for Na-ion batteries. The goal is to improve voltage and stability as well as ionic and electronic conductivity of cathodes. Ab initio-based approaches (such as DFT, AIMD, ab initio thermodynamics and kinetics) will be applied to perform a rapid and reliable screening of various compositions in the search for optimal ones, so that potentially high-performing cathode materials can be found without the need for expensive and time-consuming synthesis of many possible materials.
Application Deadline: Open until filled
25. 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.
