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20 PhD Degree-Fully Funded at Forschungszentrum Julich, Germany

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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 – 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

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(02) PhD Degree – Fully Funded

PhD position summary/title: PhD Position – Digital process development for membrane-based separation of biomolecules

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. More information on the project can be found here: https://cadet.github.io, https://www.bio-gentle.eu/

Deadline : Open until filled

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(03) PhD Degree – Fully Funded

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

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(04) PhD Degree – Fully Funded

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

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(05) PhD Degree – Fully Funded

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

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(06) PhD Degree – Fully Funded

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

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(07) PhD Degree – Fully Funded

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

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(08) 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
  • To apply, please submit a complete CV, letter of motivation, university degree records (both Bachelor`s and Master`s degree),

Deadline : Open until filled

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(09) PhD Degree – Fully Funded

PhD position summary/title: PhD – Interfacial structures of LOHC molecules

  • Master`s degree in physics, chemistry, material science, chemical engineering, or related disciplines
  • Knowledge of X-ray methods
  • Experience in the field of energy storage
  • Experience with programming languages (ideally Python)
  • Fluent in written and spoken English
  • Very independent and self-motivated way of working but also excellent teamwork skills
  • High motivation to take on responsibility and to contribute to the development of research ideas

Deadline : Open until filled

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(10) PhD Degree – Fully Funded

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

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(11) PhD Degree – Fully Funded

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 : 25.9.2024

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(12) PhD Degree – Fully Funded

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.


Key to the success of this project are a strong motivation for original research, self-initiative, and a collaborative approach.

Deadline : Open until filled

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(13) PhD Degree – Fully Funded

PhD position summary/title: PhD position – Innovation ecosystems and value-networks in times of global economic change

  • You have successfully completed your Master`s studies in natural sciences, economics or (business) engineering
  • You are enthusiastic about complex interrelationships in economic and resource systems and your working methods are characterized by very good analytical and conceptual skills
  • You have a strong understanding of the concepts of sustainable development (e.g. circular economy, bioeconomy) and current innovations in this area
  • You have profound knowledge in the field of quantitative data analysis
  • A high degree of motivation and commitment characterize your way of working. You work just as well independently as in a team
  • Expertise in scientific work and publishing, a very good command of English and a confident manner with strong communication skills complete your profile

Deadline : Open until filled

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(14) PhD Degree – Fully Funded

PhD position summary/title: PhD Position – Resource implications of global economic change

  • You have completed your Master`s studies in (business) informatics, (business) mathematics or (business) engineering with very good results
  • You have profound knowledge in the field of (economic) modeling, both in the conception of model-theoretical approaches and in the development and implementation of solution methods
  • You have a strong understanding of the concepts of sustainable development (e.g. bioeconomy), current innovations in this area and the application of optimization models
  • You have extensive knowledge of a high-level programming language and object-oriented programming, ideally in Python
  • You are enthusiastic about complex mathematical relationships and your way of working is characterized by very good analytical and conceptual skills
  • A high degree of motivation and commitment characterize your way of working. You work just as well independently as in a team
  • Expertise in scientific work and publishing, a very good command of English and a confident manner with strong communication skills complete your profile

Deadline : Open until filled

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(15) PhD Degree – Fully Funded

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

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(16) PhD Degree – Fully Funded

PhD position summary/title: PhD Position – Operando Monitoring of Catalytic Interfaces for Chemical Hydrogen Storage

  • Master`s degree in physics, chemistry, materials science, chemical engineering, or related disciplines
  • Fundamental knowledge in catalytic interface analysis and spectroscopy
  • Experience in the fields of operando spectroscopy, operando cell design, catalysis, or chemical hydrogen storage
  • Experience with programming languages (ideally Python)
  • Fluent in written and spoken English
  • Very independent and self-motivated way of working but also excellent teamwork skills
  • High motivation to take on responsibility and develop own research idea

Deadline : 13.10.2024

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(17) PhD Degree – Fully Funded

PhD position summary/title: PhD position – Global source apportionment of particulate matter air pollution

The latest report from the Intergovernmental Panel on Climate Change (IPCC) emphasizes the importance of finding ways to remove CO2 from the atmosphere to meet climate change targets. One strongly considered solution is Direct Air Capture and Storage (DACS), which involves capturing CO2 from the air and storing it underground in geological formations. However, the operation of DAC facilities could release significant amounts of pollutants, forming toxic gases and atmospheric aerosols. Atmospheric aerosols affect human health and play an important role in changing the Earth’s climate. Therefore, atmospheric chemical modelling can provide valuable insights into the potential risks associated with the use of proposed DAC technology.

In this PhD project, you will provide an initial assessment of the atmospheric impact of emissions from DAC facilities by

  • Developing a computationally efficient atmospheric aerosol apportionment module within a global Chemistry Climate Model (CCM)
  • Using source-specific species to track the contribution of yource locations and classes to atmospheric aerosol formation
  • Investigate the contribution of DAC facilities to ambient particulate matter concentrations and the potential long -range transport of pollutants
  • Investigate the impact of emission control policies (e.g. reduction of SO2, NOx,NH3 and VOC) from specific sources and sectors on future atmospheric aerosol formation

Deadline : Open until filled

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(18) PhD Degree – Fully Funded

PhD position summary/title: PhD position – A.I. and Metabolic Magnetic Resonance Imaging at Ultra High Magnetic Fields

  • Completed a Master`s degree in physics or medical physics (preferably with an MRI related master’s thesis)
  • A solid understanding of the methods, issues and challenges associated with MRI and machine learning
  • Expertise in analytical calculations and programming (C/C++, Python, Matlab)
  • Excellent problem-solving skills and a collaborative mindset
  • The determination to push yourself to the limit to engage in groundbreaking research
  • A collaborative ‘can do’ attitude and a strong sense of team spirit
  • Fluency in English – both verbally and in writing

Deadline : 15.10.2024

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(19) PhD Degree – Fully Funded

PhD position summary/title: PhD Position – The Influence of Solid Surfaces on the Structure and Dynamics of Bio-Pesticide Formulations

It is of outmost importance to understand the structure and dynamics formulations and their constituents in the proximity of solid surfaces since they are forced through narrow pipes and nozzles during spray deposition. To this end, you will

  • experimentally characterize formulations at rest and under shear, by means of scattering techniques with standard and with evanescent illumination and with confocal laser scanning microscopy
  • measure the static interaction potentials between formulation constituents with solid surfaces using total internal reflection microscopy
  • analyze and interpret your experimental results and publish them in international peer reviewed journals and on conferences



The outcome of your work will be combined with the results of your peers in the doctoral network to improve the performance of bio-pesticide formulations.

Deadline : Open until filled

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(20) PhD Degree – Fully Funded

PhD position summary/title: PhD Position – Resources of the Energy Transition: Innovative Process Routes for Replacing Material Flows in Fossil-Based Energy Systems

The transition from a fossil-based to a renewable energy system is one of the central challenges of the 21st century. While fossil energy systems provide not only energy but also numerous industrial raw materials—such as for the chemical industry, steel production, or road construction—the gradual phase-out of these technologies may lead to potential shortages of critical materials. This PhD project aims to explore and model alternative process routes and innovative solutions to meet material demands in a fully renewable energy system. The goal of this research is not only to identify material shortages resulting from the phase-out of fossil energy but also to investigate sustainable alternatives. These alternatives could include the use of bio-based raw materials, the development of electrochemical processes, or the use of green hydrogen to substitute fossil material flows. The ICE-2 at Forschungszentrum Jülich provides a state-of-the-art global energy system model as an ideal basis for investigating the transformation of the energy system and its impact on global material flows. The research will focus on studying alternatives to fossil-based materials, analyzing innovative and techno-economically feasible solutions, and developing transformation strategies based on these findings. 

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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