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 – Generative AI for Smart Grids and Energy Systems
The increasing digitalization of modern energy systems, together with the large-scale integration of renewable energy sources and distributed energy resources, is generating unprecedented volumes of heterogeneous operational data. However, limited availability, privacy constraints, and the variable quality of real-world datasets continue to hinder the development of reliable AI solutions for energy system monitoring and control. In this context, generative AI and foundation models offer promising approaches for developing trustworthy and scalable energy applications, including the generation of synthetic yet physically realistic datasets for AI training, benchmarking, and validation. The successful candidate will contribute to AI.Grids, a flagship European initiative on the application of Artificial Intelligence for future power systems, involving leading research institutions as well as transmission system operators (TSOs) and distribution system operators (DSOs). The project aims to accelerate the development of trustworthy, scalable, and interoperable AI solutions for the operation and management of modern electricity networks.
Deadline : Open until filled
(02) PhD Degree – Fully Funded
PhD position summary/title: PhD Position – Control System for the Climate-Neutral Operation of the Einstein Telescope’s Computing Centre
The Einstein Telescope is a next-generation research infrastructure currently in development, featuring a large-scale computing center whose energy demands present a unique opportunity: to develop climate-neutral operations through the integration of renewable energy sources and hybrid storage systems. As part of an EU-funded research project, ICE-1 is collaborating with research groups and companies to address the challenge of designing and operating the Einstein Telescope’s computing center in a sustainable and energy-efficient manner.The project’s main goal is to develop and validate an innovative, scalable energy concept in which the computing infrastructure and energy system are tightly coupled and jointly optimized. During the project, a container-scale prototype will be realized, which will combine a fully operational computing stack with a flexible, renewable-based energy system incorporating both battery and hydrogen storage. Alongside the physical prototype, a comprehensive co-simulation environment will be developed using hardware-in-the-loop components, enabling realistic scale-up to a full computing center and systematic evaluation of advanced operating strategies. Specifically, the PhD candidate will be involved in the development of model predictive control to operate the energy system and IT load largely self-sufficiently under varying weather conditions, with particular focus on the role of battery and hydrogen storage during Dunkelflaute periods. The developed algorithm will be first test in the hardware-in-the-loop environment developed together with the other partners. After that, the same algorithm will be tested on the real container-scale prototype.
Deadline : Open until filled
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(03) PhD Degree – Fully Funded
PhD position summary/title: PhD position – Mitochondrial membrane protein structure and function
Mitochondria are organelles involved in multiple cell processes, ranging from energy production (in the form of ATP), to apoptosis and cell signalling. Defects in mitochondrial function result in severe diseases, primarily affecting muscles and brain. The Vercellino group is interested in understanding the assembly mechanism and function of fundamental mitochondrial membrane protein complexes using the locally available state-of-the-art cryo-EM technology as a tool.
Deadline : Open until filled
(04) PhD Degree – Fully Funded
PhD position summary/title: PhD Position – Hybrid electronic/photonic integrated neuromorphic computing systems for large-scale machine learning
This PhD project aims to (1) optimize the design of hybrid electrical–optical computing architectures and (2) develop learning rules that are both technology-feasible and well-suited for machine-learning workloads.
The project will consist among others of the following tasks:
- Investigate and design optimal computing and communication architectures for hardware acceleration of large-scale machine learning workloads
- Perform characterization and modeling of electronic and optical devices
- Develop hardware-aware machine learning models incorporating electronic and optical device constraints
- Design and implement hardware-efficient training methodologies for machine learning systems
- Conduct comparative benchmarking and performance analysis against state-of-the-art studies
- Perform numerical modeling and validation of brain-inspired and neuromorphic algorithms
- Design, set up, and operate experimental systems for circuit-level measurements and data analysis
Deadline : Open until filled
(05) PhD Degree – Fully Funded
PhD position summary/title: PhD Position – Self-driving Lab specialising in the Automated Development of Electrochemical Catalyst Inks and Coatings
You will work at the interface between electrochemistry, robotics and data-driven research. The aim is to utilise and further develop an automated laboratory environment for scientific purposes in order to optimise catalyst inks and functional coatings for future energy applications more quickly and effectively. Such inks and coatings form a crucial basis for high-performance fuel cells and electrolysers.
The focus is on high-throughput experiments for the production, characterisation and optimisation of inks and coatings. You will apply and improve automated workflows and link them with data-driven evaluation strategies. In close collaboration with chemists, engineers and data scientists, a platform is being developed that combines materials development, process optimisation and machine learning. The available PhD position primarily covers the following topics:
- Development and optimisation of catalyst inks made from commercial and novel materials for electrochemical applications
- (Semi-)automated production and characterisation of inks, interfaces and functional layers
- Establishment of robust characterisation workflows to link ink formulation, layer structure and electrochemical parameters
- Benchmarking of state-of-the-art materials as a basis for the developed systemOperation and further development of an automated system for catalyst inks and layers
- Development of innovative characterisation techniques for electrocatalytic reactions
- Close collaboration with data scientists and automation specialists to develop a reliable, rapid material testing method
- Structured collection and linking of experimental data as a basis for machine learning and self-driving lab approaches
Deadline : Open until filled
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(06) PhD Degree – Fully Funded
PhD position summary/title: PhD-Position – Development of scalable superconducting quantum systems
This position focuses on building, operating, and testing superconducting quantum devices. Your tasks in detail are:
- Design and fabrication of superconducting quantum circuits
- Setting up experimental systems for cryogenic measurements
- Development of a microwave quantum control & readout stack
- Development of Python code to operate quantum systems
- Detailed experimental characterization of superconducting qubits to quantify performance and identify limiting physical mechanisms
- Perform quantum device calibrations, benchmarking, and run quantum algorithms
- Presenting and publishing the research on an international stage
Deadline : Open until filled
(07) PhD Degree – Fully Funded
PhD position summary/title: PhD Thesis – Ultrafast Electron Holography of Cobalt Nanowires Using GHz RF Electron Beam Pulser
The PhD project investigates ultrafast magnetisation dynamics in cobalt nanowires using time-resolved off-axis electron holography with picosecond temporal resolution in a transmission electron microscope retrofitted with an RF-based electron beam pulser. The aim is to probe coherent magnetisation precession and map the spatial evolution of magnetic domains during switching events by applying GHz microwave pump pulses resonant with the nanowire’s ferromagnetic resonance frequency. This work will establish a new methodology for studying nanoscale magnetic dynamics relevant to next-generation magnetic memory and logic devices. This project offers the opportunity to work at the intersection of ultra-fast electron microscopy, RF physics, magnetism, and electron holography. The project will be carried out in close collaboration with Dr. Thomas Lagrange (EPFL).
Deadline : Open until filled
(08) PhD Degree – Fully Funded
PhD position summary/title: PhD Thesis – In situ TEM of Coulomb phase excitation in artificial spin ice matter
This PhD project focuses on the quantitative investigation of Coulomb phases in artificial spin ice materials. The selected candidate will explore the dynamics and thermal fluctuations of magnetic monopoles in patterned artificial spin ice structures, examining their behavior across varying temperatures and applied magnetic fields in three dimensions. The research will primarily be carried out using advanced TEM techniques, with a strong focus on Lorentz microscopy and off-axis electron holography for quantitative magnetic imaging. The project will involve extensive use of a new state-of-the-art liquid helium cryo-magnetizing stage.
Deadline : Open until filled
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(09) PhD Degree – Fully Funded
PhD position summary/title: PhD Position – Non-collinear Altermagnetic Weyl Semimetal: Polarized neutron scattering investigations
Momentum-dependent spin splitting is traditionally associated with spin–orbit coupling effects such as Rashba and Dresselhaus interactions. However, recent symmetry analysis reveals that antiferromagnets can exhibit spin splitting even without SOC, including in centrosymmetric, light-element materials—an emerging class known as altermagnets, opening new directions for spintronics.
This PhD project will use polarized inelastic neutron scattering to explore a non-collinear antiferromagnet, aiming to provide definitive evidence of altermagnetism beyond the collinear limit. The work will uncover chiral magnon behavior and push the experimental frontier of altermagnetic research.
Deadline : Open until filled
(10) 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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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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