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.
Deadline : Open until filled
(02) PhD Degree – Fully Funded
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) PhD Degree – Fully Funded
PhD position summary/title: PhD Position – Compression effects in cross flow filtration cassettes across scales
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.
Deadline : Open until filled
(04) 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
(05) PhD Degree – Fully Funded
PhD position summary/title: PhD-position – Data Mining, Inference, Prediction and Simulation in Semiconductor material
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 or a related subject (or comparable proven experiences)
- 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
- Strong programming skills in python and experience with deep learning frameworks (e.g., pytorch, …)
- Prior knowledge and experience with microscopy, topography or crystallographic defects is highly desirable
- Prior knowledge and experience with FEM software (e.g. FENICS, …) is highly desirable
- Structured and analytical thinking as well as a systematic, careful, independent, and reliable working method
- Excellent communication skills and commitment to work as part of a team
Deadline : Open until filled
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(06) PhD Degree – Fully Funded
PhD position summary/title: PhD Position – Negative emissions through cost-optimal Direct Air Capture and Storage plant design
- Master’s degree in the field of natural sciences, engineering, or a related field of study
- Knowledge of energy process engineering is an advantage
- Huge interest in energy technology and economics
- Experience in energy system modeling is beneficial
- First programming skills, ideally in Python
- Independent and analytical way of working
- Reliable and conscientious working style
- Fluent written and spoken English; German language skills are advantageous
Please feel free to apply for the position even if you do not have all the required skills and knowledge. We may be able to teach you missing skills during your induction.
Deadline : Open until filled
(07) PhD Degree – Fully Funded
PhD position summary/title: PhD Position – Developing balloon-based hydrogen measurements in the upper troposphere and stratosphere
- MSc in meteorology, physics, chemistry, environmental sciences or a related field with good final grade (German system equivalent 2.0 or better)
- Very good experimental skills are essential
- Experience with AirCores, GC systems, Balloon observations are desirable
- Solid programming skills (e.g. Python) for data analysis are helpful
Deadline : Open until filled
(08) PhD Degree – Fully Funded
PhD position summary/title: PhD Position – Process Development in the Department Chemical Hydrogen Storage
- An excellent master’s degree in chemical engineering or a related discipline
- Ability to work independently with intrinsic motivation and show initiative within the team
- Joy and expertise in reaction engineering, thermodynamics and practical laboratory work
- Experience with hydrogen technologies, dehydrogenation reactions, catalysis and partial reforming is advantageous
- Computational competencies for data analysis and modeling e.g. using Python, advanced MS Excel, Aspen, or multiphysics simulation tools
- Excellent cooperation and communication skills complete your profile. proficiency in English is essential
Deadline : Open until filled
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(09) PhD Degree – Fully Funded
PhD position summary/title: PhD Position – Functional-Structural Plant Modelling
- Masters degree in bioengineering, environmental sciences or applied mathematics
- Knowledge of plant and soil sciences
- Mathematical modelling skills
- Experience in scientific computation
- Ability to work independently as well as collaboratively in an international, interdisciplinary team across institutes
- Very good communication and organizational skills
- Very good command of the English language
Deadline : Open until filled
(10) PhD Degree – Fully Funded
PhD position summary/title: PhD Position – Resource-integrated Energy Scenarios
- A successfully completed Master`s degree in the field of engineering or natural sciences or a related course of study
- Good knowledge of materials science and energy technology
- Basic programming skills (e.g. Python) and enjoy programming
- High degree of independence and willingness to show great commitment
- Very reliable and conscientious working style
- Fluent written and spoken English, knowledge of German is an advantage
Deadline : Open until filled
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(11) PhD Degree – Fully Funded
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
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(12) PhD Degree – Fully Funded
PhD position summary/title: PhD Position – Innovative Pathways for Grid Resilience: Flexibility and Volatility Analysis in Electrical Distribution Grids
In order to address the challenges associated with climate change, it is necessary to understand and design future distribution networks as we transition to sustainable energy sources. Moreover, the flexibility of decentralized energy sources, coupled with the increasing emphasis on incorporating self-sufficiency in buildings and energy-intensive technologies, has significant implications on distribution grids. Moreover, these changes would impact the reliability of the distribution grids and introduce challenges in resolving issues associated with the volatility of grid development and reinforcement. Thus, the objective of this doctoral thesis is to analyze the adaptability and instability in strengthening distribution grids by using geo-referenced synthetic distribution grids. Here, you will analyze the performance of distribution grids in different scenarios and configurations towards achieving greenhouse gas neutrality. To achieve this, you will perform the following tasks:
- Conduct comprehensive study on the flexibility of electrical distribution grids, evaluating various scenarios and their impacts
- Design and further develop geo-referenced synthetic distribution grids generation tool
- Design and implement different model configurations to simulate various grid configurations and assess their performance
- Investigate and apply optimization methods to improve grid resilience and flexibility
- Apply advanced data analytical techniques to analyze simulation findings and draw significant insights
- Determine cost-effective methods for grid reinforcement through performance evaluations
- Present research findings at conferences, publish articles in high-impact journals, and actively contribute to the wider scientific community
Deadline : Open until filled
(13) PhD Degree – Fully Funded
PhD position summary/title: PhD Position – New UHV Technologies for the Einstein Telescope for Gravitational Waves Detection
- Successfully completed Masters degree in the field of general mechanical engineering, process engineering or experimental physics as well as material science
- Very good knowledge of vacuum technology, especially in materials science for UHV suitable materials
- Very good knowledge in the field of design engineering
- Experience in the use of software for engineering design of systems such as CAD and FEM
- Interest in experimental work, the design and construction of test systems and the supervision of test runs
- High degree of initiative and ability to work in an international team
- Ability for collaborative work, interdisciplinary and cross-topical thinking
- Very good communication skills in spoken and written English are essential; knowledge of German is an advantage
Deadline : Open until filled
(14) PhD Degree – Fully Funded
PhD position summary/title: PhD position – Algorithms and Methods for Power System Stability
- Master`s degree in the field of Physics or a related field of study
- Good knowledge of a programming language, preferably Python and/or Matlab
- Interest in energy and power systems
- Knowledge in network science, nonlinear dynamics or machine learning are advantageous
- Independent working style and good analytical skills
- Fluent English language skills. German language skills are advantageous
Deadline : Open until filled
(15) PhD Degree – Fully Funded
PhD position summary/title: PhD Position – Characterization of Metallic Lithium as Anode Material by in-situ Scanning Probe Microscopy
Metallic Lithium is considered as a future anode material in Lithium-Ion-Batteries because of its high energy density. Currently, challenges include an exact understanding of the dendrite formation origin and how this could be prevented. Furthermore, the mechanical behavior and the influence of the solid electrolyte interphase (SEI) on metallic lithium, even under protective atmosphere, are not sufficiently understood. As part of your doctoral research, you will optimize the design of interfaces on metallic lithium in a systematic approach of spatially resolved mapping of properties based on atomic force microscopy. The project is embedded in a larger German-American consortium.
Deadline : Open until filled
(16) PhD Degree – Fully Funded
PhD position summary/title: PhD Position – Probing Magnetism of Topological Quantum Materials using Scattering Techniques
Topological quantum materials have attracted enormous attention since their discovery due to the observed anomalous transport properties originating from the non-zero Berry curvature. A large, antiferromagnetically-induced anomalous Hall effect is a potentially valuable discovery for memory applications. In this PhD project, we would like to explore new topological quantum materials using neutron scattering techniques combined with in-house characterizations.
Since magnetic symmetry and topological properties are intimately connected, the determination of magnetic structure via neutron powder diffraction is an essential part of the PhD project.
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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