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21 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 – Synthesis Automation

You will be part of the Novel Catalyst Design department, headed by Prof. Dr. Marc Ledendecker. The department focuses on the fabrication of metal-based, inorganic catalysts for the global energy transition. We use many different nanoparticles to fabricate highly active supported catalysts. This PhD thesis specifically focuses on automating the synthesis route of e.g. platinum based and iridium oxide based catalysts for acidic water splitting reaction as used in polymer electrolyte membrane units (e.g. https://onlinelibrary.wiley.com/doi/full/10.1002/aenm.202301450/ ). At the same time, you will have the opportunity to do your PhD at the Technical University of Munich (TUM) (incl. graduate school) and also to use the infrastructure of TUM. Your tasks in detail:

Deadline : Open until filled

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(02) PhD Degree – Fully Funded

PhD position summary/title: PhD Position – Nanostructured Catalyst Preparation

You will be part of the “Novel Catalyst Design” department, headed by Prof. Dr. Marc Ledendecker. The department focuses on the fabrication of metal-based, inorganic catalysts for the global energy transition. We use many different nanoparticles to fabricate highly active supported catalysts. Specifically, this dissertation focuses on the preparation of platinum-based and iridium oxide-based catalysts for the acidic water splitting reaction as used in polymer-electrolyte membrane units (e.g., https://onlinelibrary.wiley.com/doi/full/10.1002/aenm.202301450/ ). You will simultaneously have the opportunity to do your PhD at the Technical University of Munich (TUM) (incl. graduate school) and also use the infrastructure of TUM. Your tasks in detail:

Deadline : Open until filled

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(03) PhD Degree – Fully Funded

PhD position summary/title: PhD Position – Development of Carbon Molecular Sieves for the Separation of CO2 from Gas Mixtures

To limit the impact of global warming, measures for the removal and subsequent reuse or permanent storage of CO2 are urgently required. For the removal of CO2, there are several technologies available. For example, CO2 can be selectively adsorbed on a suitable adsorbent material. A typical class of materials are carbon molecular sieves. Molecular sieves are materials with extremely narrow pores, which allow to separate gas molecules by their size. In this work, carbon molecular sieves shall be optimized regarding the adsorption selectivity and capacity for CO2 adsorption. This PhD project is part of the excellence cluster “Fuel Science Center”. The aim is to synthesize and evaluate climate neutral fuels from biomass or CO2 ( https://www.fuelcenter.rwth-aachen.de/cms/~siul/Fuelcenter/?lidx=1). Your tasks in detail:

Deadline : Open until filled

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(04) PhD Degree – Fully Funded

PhD position summary/title: PhD Position – Application of digital biomarkers and machine learning for prediction of clinical symptoms

As a PhD student you will be responsible for patient evaluation in an ongoing clinical study collecting digital biomarkers in patients with Parkinson’s disease as well as support digital biomarker deployment in a planned clinical studies in oncology patients. In parallel, you will work on development of analysis pipelines for digital biomarker data and apply machine learning algorithms and advanced statistical methods to relevant clinical neuroscience questions. In addition, working in a team you will contribute to the further development of a digital biomarker platform allowing for collection of sensor-based data in real-life (i.e. using smartphone-embedded sensors).

Deadline : Open until filled

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(05) PhD Degree – Fully Funded

PhD position summary/title: PhD Position – Physiology of the Retina in Models of Retinal Degeneration

The PhD study is within the research fields of neuroscience, vision, artificial vision, electrophysiology, neurodegeneration and retinal implant.

  • You will study the physiological properties of the isolated retina of wild-type mice and of mice with retinal degeneration
  • The aim is to stimulate retinal activity with high efficiency as a basis for a retinal implant used in blind patients

Deadline : Open until filled

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(06) PhD Degree – Fully Funded

PhD position summary/title: PhD position – Scaling of tape casting processes to produce oxide-ceramic-separators for next generation batteries

Future battery technologies are urgently needed to make electromobility and home storage even cheaper, safer and more powerful. Solid-state batteries based on oxide-ceramic Li-ion conductors (electrolyte) are the most promising approach for significantly improving safety and performance. However, the ceramic materials must be manufactured using industrial processes and integrated into full cells. To keep costs as low as possible, thin separator layers are produced by film casting and assembled with a polymer-based cathode to form a battery cell. However, in order to produce a battery with the highest possible energy density and to make the process as economical as possible, various fundamental issues still need to be resolved.

Deadline : Open until filled

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(07) PhD Degree – Fully Funded

PhD position summary/title: PhD-Position – Hydrological modelling in the context of forest ecosystems and climate change

As PhD-candidate in this position you will be engaged in the large and collaborative project MW³ (Standardized monitoring of growth responses of important forest tree species to climatic extreme events) that is funded by WaldKlimaFonds ( https://www.waldklimafonds.de/ ) and aims at developing a forest monitoring system to detect growth responses of important forest ecosystems in Central Europe to climatic extreme events. Within this project, the PhD project deals with the characterization of the impact of climatic extreme events on the water balance of forest ecosystems.

Deadline : Open until filled

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(08) PhD Degree – Fully Funded

PhD position summary/title: PhD Position – Characterization methods of PEM water electrolysis components

The electrocatalytic interface engineering department led by Prof. Dr.-Ing. Simon Thiele focuses on synthesis, manufacturing, analysis and simulation of functional materials to find an optimum structure on small scales from the micrometer to the nanometer scale. The investigated materials and systems play an essential role in sustainable technologies like water- and CO2-electrolyzers, as well as in fuel cells. Your tasks in detail:

  • Design and set-up of new testing equipment for application-driven characterization of new materials for water electrolysis at >100°C
  • Manufacturing of catalyst layers and membrane electrode assemblies (MEAs) for electrochemical characterization
  • Physical, spectroscopic, and electrochemical characterization of MEAs prior to, during, and after operation
  • Participation in project meetings
  • Coordination with internal and external partners
  • Publication and presentation of research results in relevant journals and at international conferences

Deadline : Open until filled

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(09) PhD Degree – Fully Funded

PhD position summary/title: PhD Position – Artificial Intelligence for Air Quality Forecasting

In this position, you will be an active part of our ESDE research group and take over responsibility for developing novel solutions to air quality forecasting with machine learning models. As a starting point of your thesis, you will extend and enhance our air quality forecasting tool MLAir ( https://gitlab.jsc.fz-juelich.de/esde/machine-learning/mlair ) so that it can be applied to a variety of air pollutants and in regions outside of central Europe. You shall also improve computational aspects of the model deployment and evaluation. During your PhD you will work togehter with a large and growing network of scientific AI experts from around the world. You will

Deadline : Open until filled

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(10) PhD Degree – Fully Funded

PhD position summary/title: PhD Position – Hybrid Soil Microbiome Modeling

You will combine process-based and machine-learning models to establish a hybrid modeling approach for the soil microbiome within a young, dynamic and interdisciplinary team in an international working environment. Your work will be connected with the “Digital Agricultural Avatar” developed in the DFG-funded Cluster of Excellence PhenoRob (www.phenorob.de).

Deadline : Open until filled

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(11) PhD Degree – Fully Funded

PhD position summary/title: PhD Position – Multi-scale tomographic analysis of porous catalysts for hydrogen applications

Your ideas and work support the department Electrocatalytic Interface Engineering, headed by Prof. Simon Thiele, in the team Composite Membrane Analysis and Design, headed by Dr. Thomas Böhm. The department focuses on the production, analysis and simulation of functionally optimal structures in electrochemical systems from the nanometer scale to the micrometer scale, with a focus on tomographic analyses of porous materials. Your tasks in detail:

  • Development of a multi-modal tomographic approach to fully reconstruct porous catalysts on multiple scales from millimeter to nanometer
  • Simulation of transport parameters in the digital models of the catalysts
  • Validation of the results with experimental data of the catalysts, followed by a targeted digital optimization of the catalyst’s 3D structure to improve their conversion rates

Deadline : Open until filled

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(12) PhD Degree – Fully Funded

PhD position summary/title: PhD position – Quantum Control Theory for scalable semiconductor Quantum Computing architectures

The Peter Grünberg Institute for Quantum Control (PGI-8) at the Forschungszentrum Jülich specializes in novel optimization strategies for emerging quantum technologies. These emerging technologies aim to provide transformative changes to our society, including how we think about information, and unlocking vast calculations for the natural sciences, logistical problem solving, and high-performance computation. Our group has pioneered the application of quantum optimal control methods to quantum computation and many-body quantum systems. This includes the development of physical models and model reduction techniques as well as algorithmic advances of in-situ optimization and machine learning to tackle the complex processes inherent to scalable quantum devices. Are you looking for a new challenge? Our team is looking forward to receiving your application!

Deadline : Open until filled

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(13) PhD Degree – Fully Funded

PhD position summary/title: PhD Position – Machine Learning for Annotation and Design of Gene Regulatory Elements in Plants

Are you passionate about leveraging machine learning for enhancing our understanding of gene regulation? Then join the Omics Lab at the subinstitute of Bioinformatics (IBG-4) at the Institute of Biosciences and Geosciences (IBG). Our lab investigates the connection between gene sequence and gene regulation in plants using machine learning and “omic” technologies. Our work contributes to understanding the relationship between genome, environment and phenotype on the molecular level, with particular application to crops. We are a member of the Cluster of Excellence on Plant Sciences CEPLAS that aims to address challenges for sustainable food production and ecosystem maintenance posed by the increasing population and climate change.

Deadline : 28.11.2023

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(14) PhD Degree – Fully Funded

PhD position summary/title: PhD Position – High Dimensional Multi Omics Data Integration

Your project has the aim to develop novel (interactive) workflow tools for high dimensional data integration and data mining. The data used should comprise multiple omics disciplines e.g. transcripts, metabolites and epigenetic signals. Currently many analyses comprise ad-hoc methods or “standard” procedures that are disjunct. Within this project the main goals are:

Deadline : Open until filled

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(15) PhD Degree – Fully Funded

PhD position summary/title: PhD Position – Neuromorphic Cognitive Localization and Mapping

The Neuromorphic Cognitive Localization and Mapping project (CLAM), funded by Volkswagenstiftung, envisions a new class of neuromorphic systems inspired by the hippocampal-entorhinal grid-cell system (a vital component of the brain`s navigation system), to offer better generalization than current AI approaches, thanks to the creation of cognitive maps and a neuro-symbolic approach. This approach leverages a sparse, brain-inspired “hyperdimensional” encoding that reflects the geometry of the world and respects the topology of the hardware.

Deadline : 29.10.2023

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(16) PhD Degree – Fully Funded

PhD position summary/title: PhD Position – Integrating Large-Scale Energy System Models into High Performance Computers

Large energy system models optimize the size, allocation and operation of components based on simplified assumptions and finite time steps. Currently, their maximum size and level of detail is limited by the capabilities of commercial solvers such as Gurobi and the computational resources. Therefore, the integration of energy system models into high performance computers is a crucial step to optimize Europe`s future energy system to a high level of detail.

Deadline : Open until filled

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(17) PhD Degree – Fully Funded

PhD position summary/title: PhD position – Learning Embeddings for Earth Observation Applications with Supercomputing

The quality and quantity of Earth Observation (EO) data is increasing at a high rate. However its volume makes handing the data challenging, especially as the bandwidths between data centers do not grow accordingly. In your PhD, you will develop AI methods to enhance the accessibility and analysis of a vast amount of high-resolution, multi-source EO data. You will research ML methods of encode and compress high-volume EO data into practical, much smaller representations and scale them to large datasets on our supercomputers. These techniques are designed to efficiently exchange massive geospatial data for few-shots learning, and facilitating real-time searchers on petabyte-scale data. This research will take place within the scope of the recently funded EU project, Embed2Scale.

Deadline : Open until filled

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(18) PhD Degree – Fully Funded

PhD position summary/title: PhD Position – The Performance Assessment of a Novel Satellite Instrument to Measure Atmospheric Dynamics

The Institute of Energy and Climate Research – Stratosphere (IEK-7) and related universities are building a series of Spatial Heterodyne Spectrometers (SHS) for remote sensing of the Earth atmosphere. The activities are part of the International Satellite Program in Research and Education (INSPIRE) and a European Union funded activity to study innovative technologies in space. Scheduled launch dates for these novel instruments are from 2023 to 2026. The scientific objectives of the measurements are addressing open science questions related to the dynamics of the Upper Mesosphere and Lower Thermosphere. This region couples Earth`s lower atmosphere and nearer space and is facilitating both the influence of the atmosphere onto the ionosphere and hence our space assets as well as upper-atmosphere influences onto the lower atmosphere.

Deadline : Open until filled

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(19) PhD Degree – Fully Funded

PhD position summary/title: PhD Position – Digital twins in safeguarding nuclear waste management

Digital twins are already used in many industrial and planning applications. In nuclear engineering for example, they are used and further developed to improve the safety, operation and design of nuclear facilities. Digital twins also have a high potential for international nuclear material safeguards,e.g. for inspection planning, for optimizing the use of safeguards technologies, and for training purposes. The aim of this work is to explore the possibilities and limits of digital twins in safeguarding nuclear facilities, using the example of an interim storage facility and a geological repository for highly radioactive waste. Your tasks in detail:

Deadline : Open until filled

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(20) PhD Degree – Fully Funded

PhD position summary/title: PhD-Position – Development of scalable superconducting quantum systems

One of the outstanding scientific challenges is the construction of an architecture and development of a methodology that can enable useful quantum computing. The mission of the newly founded Institute for Functional Quantum Systems, located in Aachen & Jülich (PGI-13, www.funqs.de), is to create the technological and scientific basis to make this a reality. We use superconducting qubits that operate at temperatures close to absolute zero and are controlled by high-speed signals. We focus on developing the quantum devices, improving their coherence and materials, and implementing quantum gates and algorithms. A key requirement is to preserve high quality quantum operations as we scale. Overcoming these exciting challenges lies at the interface between scientific research and engineering insight.

Deadline : Open until filled

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(21) PhD Degree – Fully Funded

PhD position summary/title: PhD Position – Study the Protein / Protein Interface Energetics by Means of Free Energy Calculations Performed Using ML/MM Potentials

Protein–protein interactions (PPIs) mediate a vast number of cellular pathways and processes, making them an important class of targets for drug discovery. However, decades of effort aimed at developing small molecule drugs to modulate PPIs have been rewarded with a relatively modest number of successes. The difficulty is thought to arise primarily from topology; The key issues of code scalability and the time scale problem will be addressed for the first time using a recently developed method that builds on metadynamics – an exact method to compute free energies – and the statistical mechanics of paths.

Deadline : Open until filled

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(22) PhD Degree – Fully Funded

PhD position summary/title: PhD Position – Cryogenic CMOS for Quantum Computing

Would you like to contribute to the future fast and energy efficient computing systems and develop skills to enhance your competitiveness in the field of nano-technology? The Institute of Semiconductor Nanoelectronics (PGI 9) at Forschungszentrum Jülich is the right place for you! We focus on application oriented basic research in novel materials and innovative device concepts for both quantum and neuromorphic computing. PGI 9 has broad experience and competence in growth of semiconductor nanowires and quantum dots, epitaxy and analysis of group IV, III/V,III-nitrides and topological insulator nanostructures and their implementation in electronic and optical devices, fabrication of hybrid-nanostructures containing semiconductor / dielectric (ferroelectric) / superconductor / metal materials.

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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