Are you holding Master’s degree and ready to elevate your academic journey to the highest level? Forschungszentrum Julich, Germany, has announced a multiple fully funded PhD positions awaiting talented individuals like you. Don’t miss your chance to be part of our vibrant academic community. Explore the exciting PhD positions available and submit your application today!”
Candidates interested in fully funded PhD positions can check the details and may apply as soon as possible.
(01) Fully Funded PhD Position
PhD position summary/title:–PhD Position – System-level integrated circuit design and modeling for scalable quantum computing architectures
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.
Deadline : Open until filled
(02) Fully Funded PhD Position
PhD position summary/title:– PhD Position – Digital process development for membrane-based separation of biomolecules
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 bio-separation platform. A cohort of 12 doctoral candidates will be trained and experience the complete chain from materials properties to process design and evaluation.
Deadline : Open until filled
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(03) Fully Funded PhD Position
PhD position summary/title:– PhD Position – Compression effects in cross flow filtration cassettes across scales
This specific project (DC2) addresses preparative scale cross flow filtration devices, in which different membrane and spacer materials are stacked to achieve optimal retention and capacity. These stacks are arranged in cassettes with complex internal geometries to achieve high surface areas at low footprints. Non-homogeneous flow, local compression of the filter material and hydrodynamic bypasses are need to be analyzed and optimized. Special attention will be given to scalability of the filtration process and to the transferability of the findings between laboratory and production scales.
Deadline : Open until filled
(04) Fully Funded PhD Position
PhD position summary/title:– PhD Position – Plant Systems Biology
- Master in bioinformatics, biology or similar with experience in the relevant field
- Knowledge in programming languages (e.g. Java, Rust, C/C++) and statistical analysis using R/BioConductor/python
- Experience with the analysis and integration (data fusion) of high throughput data such as NGS, single cell data, metabolite profiling and/or plant phenotyping data
- Experience with the application of AI for data analysis and interpretation is advantageous
- Experience with plant omics data is a plus
- Good organizational skills and the ability to work independently
- Very good cooperation and communication skills and ability to work as part of a distributed team in an international and interdisciplinary environment
- Excellent communication skills in English are mandatory
Deadline : Open until filled
(05) Fully Funded PhD Position
PhD position summary/title:– PhD Position – Negative emissions through cost-optimal Direct Air Capture and Storage plant design
One essential step towards the ramp-up is the identification of site-specific optimal design of DACS plants, which will be the focus of the advertised PhD. To identify optimal DACS plant designs in terms of their techno-economic characteristics an optimization model is to be developed in the institutes’ inhouse modelling framework FINE (https://github.com/FZJ-IEK3-VSA/FINE) in addition to technical models allowing to assess technical scaling and an optimal operation. The optimal plant design is identified by considering the energy supply system, the choice of capture technology, the DAC-plant’s technical design, the DAC-plant’s operational concept and the positioning of the DAC-plant with regards to the storage site and needed transportation effort. Your tasks in detail:
- Development of a modelling structure for representing the DACS-system in the FINE-Framework
- Detailed model of DAC technologies including their technical design and scaling effects
- Parameterization and design of the energy supply system for providing electricity (and heat/cooling) for the DAC plant
- Detailed model for DAC operation with respect to fluctuating energy supply and climatic conditions
- Model for assessing the positioning of the DAC-plant with regards to the storage site and needed transportation
- Development of appropriate scenarios to test the DACS-plant design and to obtain robust recommendations regarding the overall design
Deadline : Open until filled
(06) Fully Funded PhD Position
PhD position summary/title:– PhD Position – Functional-Structural Plant Modelling
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.
Deadline : Open until filled
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(07) Fully Funded PhD Position
PhD position summary/title:– PhD Position – Method Development of Cryo-STEM Imaging
In close cooperation with experts in the development of methodologies in multidimensional STEM, new approaches for low-dose imaging at high contrast in Cryo-EM are explored both theoretically and experimentally.
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.
Deadline : Open until filled
(08) Fully Funded PhD Position
PhD position summary/title:– PhD Position – Cryo-EM of Cellular Autophagy
In order to gain a deep structural understanding, we biochemically purify and reconstitute autophagy protein complexes in lipid environments and we visualize them by high-resolution cryo-EM methods. Moreover, we visualize the autophagy process in in situ mammalian cells to understand the role in neurodegeneration. The successful candidate will be embedded in a network of membrane biological research and latest cryo-EM infrastructure.
Deadline : Open until filled
(09) Fully Funded PhD Position
PhD position summary/title:– PhD position- Power system monitoring and quantum communication
Maintaining an efficient, sustainable, and stable energy supply requires integrating various technologies, which poses complex challenges for modern energy systems. In particular, given the limited observability of the energy systems, advanced monitoring solutions are needed to observe the behaviour of the entire system, in order to provide reliable data for system monitoring and control.
In this framework, Quantum key distribution (QKD), thanks to the cryptographic protocol, can play a key role in ensuring safe communication between the monitoring devices and the control room.
Deadline : Open until filled
(10) Fully Funded PhD Position
PhD position summary/title:– PhD position – Biogeochemical Soil and Rhizosphere Modeling
The work will be part of the project “Combining ROot contrasted Phenotypes for more resilient agro ecosystems” (CROP) funded within the program of the German Ministry for Education and Science (BMBF) “Plant roots and soil ecosystems: Importance of the rhizosphere for the bioeconomy” in the framework of the “National Research Strategy Bioeconomy 2030”. In collaboration with the University, the project aims to assess the beneficial effects of cultivar mixtures with complementary root phenotypes within an agricultural field. Wwe evaluate the benefits of the cropping system in terms of water, carbon and nitrogen fluxes, microbial communities and yield. We use complementary experimental methods and modeling to achieve this goal. Your work will build on the process-based soil-rhizosphere-plant model developed in the first phase of CROP which integrates a 3D functional-structural approach (CPlantBox) to mechanistically simulate plant growth, plant-soil interactions and the rhizosphere microbiome. You will contribute to extend and apply the modeling approach for calculating water, carbon and nitrogen fluxes in the plant and soil to evaluate nitrogen use efficiency and drought resistance at critical stages of plant development. You will work in an interdisciplinary team with postdoctoral researchers from Jülich and Hohenheim.
Deadline : Open until filled
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(11) Fully Funded PhD Position
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
(12) Fully Funded PhD Position
PhD position summary/title:– PhD Position – Cryogenic Integrated CMOS Circuit Design and Electronics for Scalable Quantum Computing
We are working on scalable cryogenic electronics and integrated circuits (ICs) for quantum bits (qubits) to turn the vision of a universal quantum computer into reality. Scaling up to millions of qubits necessitates moving parts of the control electronics closer to the qubits. To achieve this, we design and implement cryogenic ICs for qubit control and readout in state-of-the-art CMOS technologies. Since qubits are extremely sensitive and operate in temperatures as low as a few hundred millikelvins, the requirements on power consumption, noise, and area are extremely challenging. This demands the development of new and groundbreaking architectures and circuit topologies. Our designed ICs and electronics are thoroughly measured and verified by co-integration in direct proximity with qubits.
Deadline : Open until filled
(13) Fully Funded PhD Position
PhD position summary/title:– PhD Position – Replacing lost material flows within the energy transition
The energy transition not only generates new demand for materials, but also phase out material flows such as gypsum production in coal-fired power plants. These lost material flows must be suitably replaced. To ensure that this replacement is compatible with the energy transition, substitution options must be systematically investigated with the help of energy scenarios. Therefore, this doctoral thesis will identify the phased out material flows and substitution options and integrate them into the institute`s own energy system model ETHOS.FINE ( https://github.com/FZJ-IEK3-VSA/FINE ) in order to find transformation scenarios without material gaps.
Deadline : Open until filled
(14) Fully Funded PhD Position
PhD position summary/title:–PhD Position – DFG Priority Program Fluorescence Measurements from Drones
Our team at the research center has developed a camera system for measuring sun-induced fluorescence (SIF) that is compact enough for use on drones (UAVs). SIF makes it possible to measure the productivity of plants more directly than with other remote sensing methods. This results in exciting applications, such as monitoring water stress in plants. The SIF signal itself is a weak signal that requires precise sensors and measurement protocols for reliable measurements. The aim of this project is to enable spatial high-resolution, quantitative UAV-SIF measurements with known measurement uncertainty.
Deadline : Open until filled
(15) Fully Funded PhD Position
PhD position summary/title:– PhD student position in Cognitive Neuroscience
The successful candidate will be part of the Spatial Cognition Group and will investigate the influence of contextual information on visual perception under supervision of PD Dr. Ralph Weidner: https://www.fz-juelich.de/en/inm/inm-3/research/spatial-cognition
This includes:
- Design, acquisition and analysis of behavioural and neuroscientific data
- Implementation of analysis algorithms
- Presentation and publication of the results
- Interaction with team members and collaborators from Psychology, Medicine, and Computational Neuroscience
Deadline : Open until filled
(16) Fully Funded PhD Position
PhD position summary/title:– PhD student in Motor Neuroscience
The successful candidate will be part of the Motor Cognition Group and will investigate the neural basis of normal motor behavior across the lifespan and the neural mechanisms underlying apraxia in stroke and dementia under the supervision of Prof. Peter H. Weiss-Blankenhorn: https://www.fz-juelich.de/en/inm/inm-3/research/motor-cognition
This includes:
- Design, acquisition and analysis of behavioral and neuroscientific data in healthy participants and neurological patients
- Presentation of the results on conferences and manuscript writing
- Interaction with team members and collaborators from Psychology, Medicine, and Computational Neuroscience in the framework of the CRC 1451 on motor control (https://www.crc1451.uni-koeln.de/)
Deadline : Open until filled
(17) Fully Funded PhD Position
PhD position summary/title:–PhD – Interfacial structures of LOHC molecules
- X-ray reflectivity measurements at solid-liquid interfaces of solid surfaces and LOHC molecules
- Design of cells for temperature-dependent X-ray reflectivity measurement
- Analysis of X-ray reflectivity measurements with modern analytical methods
- Electrochemical experiments with LOHC molecules
- Publication and presentation of results in high-ranking and recognized journals as well as at national and international conferences
- Collaboration with other research groups
- Support in the preparation of third-party funding proposals
- Support in establishing the institute
Deadline : Open until filled
(18) Fully Funded PhD Position
PhD position summary/title:– PhD Position – Hyperpolarized Magnetic Resonance
If you are interested in creative problem solving at the interface between chemistry and physics, with the chance to mix hands-on experimental work with theory+simulations, this opportunity may be for you!
The Hyperpolarization Methods research group at the Institute for Structural Biochemistry is seeking a motivated PhD candidate to carry out research in the field of hyperpolarized magnetic resonance. Hyperpolarization is the preparation of molecules in a specific nuclear spin quantum state. This means the molecule’s NMR/MRI signals are enhanced by many orders of magnitude, which is transformative for applications such as medical MRI or chemosensing. Specifically, we develop novel chemical and physical methods to produce hyperpolarized molecules, and to extend the lifetimes of those hyperpolarized states.
As a member of the research group, you will work in an environment that combines the best aspects of modern scientific research with traditional academic values. You will carry out fast-paced research on societally-relevant topics, with individual support (especially for your personal well-being) so you can grow as an individual. At the same time, you will have ample opportunity for acquiring knowledge, discussing science, and thinking creatively.
Deadline : Open until filled
(19) Fully Funded PhD Position
PhD position summary/title:– PhD Position – Analysis of Redox Interaction of Glass Composite Sealants for Solid Oxide Electrolysis Cell (SOEC)
Hydrogen is seen worldwide as a crucial building block for the transformation towards a sustainable and greenhouse-gas-neutral energy system. Electrolysis is the best-known and most relevant option for the sustainable and efficient production of hydrogen. SOEC electrolysis is in the focus of current research. An essential component of an SOEC is the sealing of the gas feeds with a sealing material. This material must be chemically inert at high temperatures, stable under long-term operating conditions while also having an optimised coefficient of thermal expersion of the ceramic cell material and the metallic housing. Glass-ceramic composite sealants are state of the art and fulfill these requirements. During operation of the SOEC, redox reactions were observed in which zinc drops precipitat from the sealing material. These are disadvantageous for the thermomechanical stability and the electrical insulation properties of the joint.
Deadline : Open until filled
(20) Fully Funded PhD Position
PhD position summary/title:– PhD Position – Modelling of Superconducting Qubit Circuits with Machine Learning Techniques
Circuit Quantum Electrodynamics (QED) provides insights into the behavior of superconducting qubit circuits with a few qubits, but scaling up the number of qubits presents significant challenges. As the qubit count increases, modeling accuracy diminishes, often resulting in experimental gate and processor performances that rely on imprecise simulations.
- Our objective is to refine the model for greater precision and, using this improved model, to identify optimized parameter regimes through extensive machine learning.
- We collaborate closely with leading experimental teams across Europe to simulate their devices.
- This collaboration necessitates prompt scientific communication with experimentalists, developing models based on actual devices, and exploring avenues to enhance performance.
- The work will involve extensive use of numerical and analytical techniques pioneered by our group. We are seeking an applicant with a robust background and experience in machine learning and quantum computing to contribute meaningfully to this project.
Deadline : Open until filled
(21) Fully Funded PhD Position
PhD position summary/title:– PhD position – Innovation ecosystems and value-networks in times of global economic change
- Analysis of market dynamics in the context of Innovation Ecosystems and Diffusion Theory
- Systematic integration of concepts from institutional, behavioral, and resource economics
- Identification and parameterization of innovative industrial processes and bioeconomy potential as a central component of the sustainability transformation
- Identification of possible usage profiles for different types of biomass, including their substitution potential
- Validation and scaling of the results
- Sustainability assessment of transformation scenarios and European/global trade potentials with biogenic resources
- Development and implementation of modeling approaches and empirical analyses
- Publication and presentation of research results in relevant journals and at (international) conferences
- Supervision of student seminar papers and theses
Deadline : Open until filled
(22) Fully Funded PhD Position
PhD position summary/title:– PhD Position – Resource implications of global economic change
- Analysis of future market developments, taking into account different political regulation scenarios
- Evaluation of transformation scenarios involving various industrial sectors of the bioeconomy (e.g. mobility, textiles, plastics & packaging, construction, etc.)
- Carrying out model calculations and validating the results
- Publication and presentation of research results in relevant journals and at (international) conferences
- Supervision of student seminar papers and theses
Deadline : Open until filled
(23) Fully Funded PhD Position
PhD position summary/title:– PhD Position – Computer Vision for In Situ Electron Microscopy
We are looking for a highly motivated colleague who is excited about new scientific endeavors with interdisciplinary approaches. For this you have:
- A completed university degree (Master or equivalent) in data science, computer science, mathematics, materials science, physics, engineering or a related subject
- Practical experience in the area of data analysis, data mining and ML/DL, demonstrated through, e.g., a thesis, publications in peer-reviewed journals or open source projects
- Prior experience in computer vision, image analysis, or machine learning
- Strong programming skills in Python and experience with deep learning frameworks such as TensorFlow or PyTorch
- Prior knowledge and experience in (electron) microscopy is highly desirable
- Excellent communication skills and commitment to work as part of a team
Deadline : Open until filled
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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