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PhD Degree (21)-Fully Funded at Forschungszentrum Julich, Germany

PhD Degree -Fully Funded at Forschungszentrum Julich, Germany

Forschungszentrum Julich, Germany invites online Application for number of  Fully Funded PhD Degree at various Departments. We are providing a list of Fully Funded PhD Programs available at Forschungszentrum Julich, Germany.

Eligible candidate may Apply as soon as possible.

 

(01) PhD Degree – Fully Funded

PhD position summary/title: PhD position – Learning Tailored Iterative Algorithms for Accelerating AC Power Flow Computations (HDS-LEE graduate school)

Apply your data science skills to real-world challenges! At the Helmholtz School for Data Science in Life, Earth and Energy (HDS-LEE), we train the next generation of data scientists to tackle key global issues in domain sciences such as life, earth or energy. Learn more at www.hds-lee.de This position is to be filled at the Institute of Climate and Energy Systems – Energy Systems Engineering (ICE-1), where we develop models and algorithms for the simulation and optimization of future energy systems characterized by a high spatial and temporal variability of energy supply and demand. We look forward to your application.

Deadline : Open until filled

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(02) PhD Degree – Fully Funded

PhD position summary/title: PhD Position – Molecular mechanisms of vesicular glutamate transporters

The PhD project focuses on a family of glutamate transporters, vesicular glutamate transporters (VGLUTs), that are responsible for the accumulation of glutamate in synaptic vesicles of glutamatergic synapses in the mammalian brain. VGLUTs are dual function proteins that combine secondary active glutamate transport with chloride channel function; understanding the underlying processes is challenging due to the complex, intertwined nature of both transport functions. The project is based on a combination of cellular electrophysiology (patch clamp), mathematical modeling and molecular dynamics simulations, with the aim to understand transporter function at atomic resolution.

Deadline : Open until filled

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(03) PhD Degree – Fully Funded

PhD position summary/title: PhD Position – Multi-Scale Data-Driven Model of Synaptic Function and Resilience

Healthy brain function relies on dynamic changes at the synapse. The relevant synaptic turnover and plasticity processes span spatial scales from the molecular up to the network level, and temporal scales from seconds to hours and beyond.

The aim of this PhD project is to build a multi-scale model linking molecular renewal to functional properties of synapses to study the relationship between synaptic resilience and the reliability of synaptic responses. The work primarily involves mathematical modeling and numerical simulation, but also the analysis of experimental datasets for model validation.

Deadline : Open until filled

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(04) PhD Degree – Fully Funded

PhD position summary/title: PhD position – Immobilisation of radium (226Ra) and strontium (90Sr) by carbonate minerals

We invite early-career researchers to apply for a PhD position within the joint research project “TRANSFER – Training and Research Academy for Nuclear Safety and Future Expertise on Geological Repository Systems”. As part of a structured doctoral program, you will conduct research on cutting-edge topics related to the disposal of high-level radioactive waste. TRANSFER is jointly funded by the German Federal Ministry for Research, Technology and Space (BMFTR) and the Federal Company for Radioactive Waste Disposal (BGE) and is coordinated by the GFZ German Research Centre for Geosciences.

Deadline : Open until filled

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(05) PhD Degree – Fully Funded

PhD position summary/title: PhD position – Soil–Plant Interactions Modelling

This work will be part of the project “Role of root mucilage in water and phosphorus uptake in semi-arid environment: Bridging the gap from theories on the pore scale to emergent behaviour at the plant scale (RootMucilage)” funded by the German Research Foundation (DFG). In collaboration with the Technical University of Munich, the University of Tübingen and the RPTU University Kaiserslautern-Landau, the project aims understand the emergent behaviour of mucilage on the plant scale and in particular for water and phosphorus uptake from soil by contrasting maize genotypes as well as its role in forming a moist microbial rhizosphere habitat. Your work will build on the process-based soil-rhizosphere-plant model, developed at the Agrosphere Institute, which integrates a 3D functional-structural approach (CPlantBox) to mechanistically simulate plant growth, plant-soil interactions and the rhizosphere microbiome. You will contribute to model development and apply it to disentangle the role of root architecture and the release of both mulicage and low molecular weight organic carbon compounds on root water and phosphate uptake. You will work in an interdisciplinary team with researchers from the University partners as well as our partners from ICRISAT, India.

Deadline : Open until filled

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(06) PhD Degree – Fully Funded

PhD position summary/title: PhD Position – Drone-Based Remote Sensing and Agroecosystem Modeling

The PhD position is offered within the Cluster of Excellence PhenoRob – Robotics and Phenotyping for Sustainable Crop Production. We are looking for a highly motivated PhD candidate to join our world-leading research program in robotics, remote sensing, and data-driven approaches for sustainable agriculture. PhenoRob’s mission is to transform crop production by optimizing breeding and farm management through innovative sensing technologies, advanced modeling, and intelligent automation.

This PhD project contributes to PhenoRob’s initiative to develop digital twins for agroecosystems, i.e., high-fidelity virtual representations of agricultural ecosystems. These digital twins will enhance our understanding of ecosystem functioning, more specifically water and carbon fluxes, supporting the design of more sustainable and resilient crop production systems. The project will focus on integrating high-resolution drone-based remote sensing data, including multispectral and thermal imagery as well as LiDAR measurements, into ensemble agroecosystem model simulations. The successful candidate will play a key role in developing robust landscape-scale digital twins and advancing data assimilation techniques for agricultural and environmental applications.

Deadline : Open until filled

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(07) PhD Degree – Fully Funded

PhD position summary/title: PhD Position – Role of Topology on Polymer Dynamics in Rings and Their Blends – Synthesis and Neutron Scattering Study

Ring polymers are macromolecules with one key distinguishing feature: they have no ends. This seemingly trivial fact has significant consequences for molecular conformation, dynamics and material properties. This highly interdisciplinary PhD project involves synthesising ring polymers and studying them systematically using a combination of neutron scattering and nuclear magnetic resonance (NMR) methods. During the initial stage, you will synthesise ring polymers using anionic polymerisation techniques. You will also develop new linking chemistries and purification processes. The physics part of the project will focus on the structure and dynamics of ring polymers in different topological environments, providing experimental evidence for phenomena predicted by theory and computer simulations. Small-angle neutron scattering (SANS) will be employed to examine the conformation of ring molecules in various topological environment. Neutron spin echo (NSE) spectroscopy will be employed to examine the dynamic properties of the rings at the chain level. The results of this research are important in biology and materials science, where topology plays a significant role. This project is supported by the German Research Foundation (DFG) and involves collaborating with TU Ilmenau to perform NMR measurements on the same systems.

Deadline : Open until filled

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(08) PhD Degree – Fully Funded

PhD position summary/title: PhD Position – Denoising Methods for Dual-Tracer PET Imaging

Positron emission tomography (PET) is often used to diagnose neurological diseases. Before PET imaging, a radiotracer is injected into the patient to display metabolic processes in the body. At the Institute for Neuroscience and Medicine (INM-4), we are developing an innovative reconstruction algorithm and methods to correct factors impacting the quantitative accuracy of PET images. Our recent research has focused on dual-tracer PET imaging, in which two radiotracers are injected simultaneously, enabling two metabolic processes to be displayed at once. Dual-tracer PET imaging can provide new insights into neurological diseases. During image reconstruction, the signals of both tracers are separated. One challenge with dual-tracer PET is that the reconstructed images contain significant noise. As a doctoral researcher at our institute, you will develop and implement a new algorithm to reduce noise in dual-tracer PET imaging and improve the quantitative accuracy of dual-tracer PET scans. 

Deadline : Open until filled

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(09) PhD Degree – Fully Funded

PhD position summary/title: PhD Position – High-Temperature Electrolysis – from stack design to operational optimization

Help us shape the energy transition! As part of your doctoral studies, you will support the development of innovative stack designs, operating strategies and measurement methods for power-to-X systems using high-temperature electrolysis (SOEC). The developed methods will serve to optimise the operation of SOCs for hydrogen production both technically and economically and improve tolerance against impurities. In doing so, you will make a direct contribution to national and European climate targets. Your tasks in detail:

  • Planning, implementation and evaluation of long-term and transient tests of stacks with solid oxide cells (SOC) in electrolysis mode
  • Electrochemical characterisation of cells during stack operation using direct and alternating current-based techniques (e.g. characteristic curves/cyclovoltammetry, amperometry, electrochemical impedance spectroscopy)
  • Experimental investigation of the material compatibility of interconnector steels, protective coatings and cell materials with adapted glass-ceramic joining materials, with a focus on interactions during the joining process and under operating conditions
  • Optimisation of experiments, measurement methods and measurement technology, including test facilities with regard to the research and project objectives
  • Collaboration in the analysis of operated SOC stacks through disassembly and post-test characterisation to identify material interactions and damage mechanisms for linking with operating data
  • Collaboration and networking with other departments at the research centre (cell development, stack construction, system and component development, microscopy, spectroscopy)
  • Presentation of findings at specialist conferences, publication in leading journals and active exchange with industry and research partners

Deadline : 23.4.2026

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(10) PhD Degree – Fully Funded

PhD position summary/title: PhD Position – Imaging subsurface flow path dynamics in high resolution using geophysical methods

The PhD project at the IBG-3 at Forschungszentrum Jülich will be part of the DFG Research Unit Fast and Invisible: Conquering Subsurface Stormflow through an Interdisciplinary Multi-Site Approach ( https://vhrz669.hrz.uni-marburg.de/ssf/ ).

Understanding the mechanisms controlling subsurface flow (SSF) and the conditions under which it occurs remains a major challenge in hydrology and environmental geophysics. This PhD project aims to advance the process-based understanding of SSF by combining state-of-the-art geophysical methods with controlled field experiments and numerical modeling. The doctoral researcher will participate in and help design experimental field campaigns with controlled surface and subsurface inflow at four trenched hillslope research sites in Germany and Austria. These experiments will enable a systematic investigation of SSF dynamics under controlled yet realistic conditions. The PhD project will focus on analyzing SSF patterns across all sites using an integrated geophysical and modeling approach.

High-resolution subsurface characterization will be carried out using electromagnetic induction (EMI), electrical resistivity tomography (ERT), and ground penetrating radar (GPR), complemented by soil sensors and borehole data. A particular emphasis will be placed on the combined use of borehole and surface GPR, as well as small-scale EMI measurements in controlled experimental settings. In addition to fieldwork, the PhD candidate will contribute to the development of novel inversion algorithms for EMI and GPR based on full-waveform inversion techniques. These methods aim to enable quantitative, high-resolution, time-lapse monitoring of soil properties and will be implemented using high-performance parallel computing.

Deadline : Open until filled

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(11) PhD Degree – Fully Funded

PhD position summary/title: PhD Position – Techno-economic assessment of geothermal plants with material co-production in energy systems

Do you want to contribute to securing the critical raw materials needed to enable the European energy transition while working with powerful energy system models within an international team of researchers? Then become part of our team at the Institute of Climate and Energy Systems – Jülich Systems Analysis and contribute to our research with your PhD thesis. Here at our institute, we investigate what a sustainable energy system could look like, providing meaningful analyses and scenarios for policymakers. Within the Marie Skłodowska-Curie project MiningBrines, we use our skillset to help develop a sustainable brine mining whole strategy that extracts and valorizes renewable energy, energetic gases, and critical raw materials from geothermal brines across European geothermal wells. If you are interested, read more about this unique opportunity and the associated tasks in detail below. Can´t wait to start? Have a first look of what it’s like working at ICE-2: https://go.fzj.de/ice-2

Deadline : 30.4.2026

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(12) PhD Degree – Fully Funded

PhD position summary/title: PhD Position – Simulations and machine learning applied to proteins

The Institute of Neuroscience and Medicine – Computational Biomedicine (INM-9, https://www.fz-juelich.de/en/inm/inm-9 ) uses and develops high performance computing-based multiscale approaches to investigate key molecular events for neuronal function and dysfunction. INM-9 is also part of relevant European initiatives like the joint doctorate program STIMULATE ( https://stimulate-ejd.eu/stimulate-ejd.eu/index.html ) and the Center of Excellence BioExcel ( https://bioexcel.eu/ ) to support the use of high-performance computing and high-throughput computing in biomolecular research. Recent advances in machine learning and protein structure prediction, particularly AlphaFold, have opened new avenues for modeling such transitions and integrating structural and dynamical information. In this project, deep learning models will be developed to guide enhanced sampling simulations and uncover the molecular determinants underlying protein activation and allosteric regulation.

Deadline : Open until filled

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(13) PhD Degree – Fully Funded

PhD position summary/title: PhD position – Deciphering the action mechanism of fusogenic liposomes, an advanced drug delivery system

Current drug delivery strategies predominantly use the endocytic pathway to deliver biomolecules into living cells. The main drawback of such endocytic uptake is the very intense degradation of the cargo. Alternatively, membrane fusion between liposomes and mammalian cells can be induced. Therefore, special liposomes with an unusually high fusion efficiency have been developed in IBI-2. Due to the complete mixing of the liposomal and cellular plasma membranes, cargo molecules can be effectively released into the plasma membrane or the cytoplasm, thereby avoiding degradation. In the last decade, their applications have become increasingly relevant; however, the exact fusion mechanism remains unclear. Therefore, the aim of this work is to understand the role of a key component of the delivery system, the aromatic molecule, in inducing membrane fusion. Understanding the basic requirements of such molecules could advance the development of novel drug delivery systems that harness their pharmaceutical potential to treat inflammation, neurovascular degeneration, and cerebrovascular aging.

Deadline : Open until filled

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(14) PhD Degree – Fully Funded

PhD position summary/title: PhD position – Deciphering the mechanical properties of bio membranes and developing a treatment strategy to improve those during ageing

With aging, the intricate relationship between vascular health and cognitive function is increasingly well understood. The cerebral vasculature, composed mainly of tightly packed endothelial cells, is permanently exposed to cyclic mechanical strain from blood pressure. During ageing and under elevated oxidative stress, a systemic and progressive restructuring of the endothelial cell membrane has been observed, resulting in impaired vascular mechanical function. Therefore, the aim of this work is to assess the relative contributions of membrane peroxidation to the increased membrane rigidity observed during ageing. Moreover, we intend to protect and modulate the plasma and mitochondrial membranes of neurovascular cells against oxidative damage.

Deadline : Open until filled

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(15) PhD Degree – Fully Funded

PhD position summary/title: PhD-Position – Design and Operation of Local Energy Communities

The concept of Local Energy Communities (LECs) — where people, businesses, and local infrastructure share and manage energy collectively — is reshaping how energy is produced and consumed. Recognized by the EU as a cornerstone of the Clean Energy Transition, LECs empower local actors to participate actively in energy markets, support renewables, and enhance system flexibility.
In this PhD project, you will help design, simulate, and optimize these next-generation communities — making clean, local, and intelligent energy systems a practical reality.

Deadline : Open until filled

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(16) PhD Degree – Fully Funded

PhD position summary/title: PhD Position – Hybrid electronic / photonic integrated neuromorphic computing systems for large-scale machine learning

You will participate in an international team in an EU-funded Doctoral Network project called MINDnet. The project consists of 15 PhD students at 7 universities, one research center and two companies. The project has partners from eight different EU countries. All 15 PhD projects are within the overall theme of neuromorphic computing and analog signal processing, targeting applications in the fields of communication, sensing, geolocalization, space and biomedical.
This PhD project will take place at PGI-14 Research Center Jülich. Apart from the time at PGI-14 there will be secondments of 3 months at HPE Belgium (Brussel), Spincloud Systems GmbH (Dresden), and Technical University Ilmenau. There will also be regular meetings with the other 14 PhD students in the doctoral network, including 4 training schools and two workshops.

Deadline : Open until filled

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(17) PhD Degree – Fully Funded

PhD position summary/title: PhD Position – Additive Manufacturing and Resource Strategies for the Energy Transition

Additive manufacturing could be a game changer for the energy transition—or it could create new challenges. The extent to which it will influence future production systems, material flows, and energy systems is not yet fully understood. This is precisely where this doctoral thesis comes in. At the Institute of Climate and Energy Systems – Jülich System Analysis (ICE-2), we are researching the systemic prerequisites for a successful energy transition. The Resources Strategies department focuses on the interactions between material and energy systems and how these influence the transition to a greenhouse gas-neutral energy system. To this end, we develop integrated energy-material scenarios up to the global level and the necessary models. On this basis, potential resource bottlenecks can be identified at an early stage and model-based strategies for avoiding them can be identified. The department thus makes a key contribution to identifying robust transformation paths with a secure energy and resource supply.

Deadline : Open until filled

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(18) PhD Degree – Fully Funded

PhD position summary/title: PhD position – Co-regulation structures for large-scale single-cell transcriptomics – within the HDS-LEE graduate school

The Bioinformatics Division of the Institute of Biological and Geosciences (IBG-4) processes and develops methods and algorithms to achieve a fundamental understanding of high-dimensional data and processes in the bioeconomy in particular. Bioinformatics at Forschungszentrum Jülich plays a leading role at the international level, for example in the field of plant and microbial data management, in the evaluation of new methods of genome analysis, in the integration, interpretation, and visualization of high-dimensional omics data from the field of bioeconomics, and in the modeling, simulation, and engineering of biomolecular systems, including enzymes. Apply your data science skills to real-world challenges! At the Helmholtz School for Data Science in Life, Earth and Energy (HDS-LEE), we train the next generation of data scientists to tackle key global issues in domain sciences such as life, earth or energy. Learn more at www.hds-lee.de Institute specific promise here.

Deadline : Open until filled

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(19) PhD Degree – Fully Funded

PhD position summary/title: PhD position – Probabilistic Metabolic Flux Analysis within the HDS-LEE graduate school

This PhD project develops a Bayesian inference framework for hybrid model- and data-driven modeling of metabolism, with a particular focus on handling model misspecification. By combining Bayesian computational statistics, differentiable programming, and high-performance computing, the project aims to deliver robust, interpretable, and scalable methods for metabolic flux analysis.

Deadline : Open until filled

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(20) PhD Degree – Fully Funded

PhD position summary/title: PhD position – Analysis of Transformation Pathways for European Gas and Hydrogen Grids in Integrated Energy Systems

This PhD project focuses on modelling and simulating future gas grids, exploring transformation pathways, and developing cross-sectoral simulation frameworks to support informed decision-making.

Deadline : Open until filled

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(21) PhD Degree – Fully Funded

PhD position summary/title: PhD Position – Design and development of an in-house X-ray beamline for long term operando investigation of chemical hydrogen storage reactors

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 a 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. At the institute division “Catalytic Interfaces for Chemical Hydrogen Storage” (INW-1, Prof. Dr. Hans-Georg Steinrück), we investigate mechanisms and processes in (electro)chemical energy storage systems. For the purposes, we develop and use advanced (X-ray-based) methods as well as modern data reduction und data evaluation methods, including machine learning and big data analytics.

Deadline : Open until filled

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About Forschungszentrum Julich, Germany –Official Website

Forschungszentrum Jülich  is a member of the Helmholtz Association of German Research Centres and is one of the largest interdisciplinary research centres in Europe. It was founded on 11 December 1956 by the state of North Rhine-Westphalia as a registered association, before it became “Kernforschungsanlage Jülich GmbH” or Nuclear Research Centre Jülich in 1967. In 1990, the name of the association was changed to “Forschungszentrum Jülich GmbH”. It has close collaborations with RWTH Aachen in the form of Jülich-Aachen Research Alliance (JARA).

 

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