{"id":3569,"date":"2023-07-04T10:00:22","date_gmt":"2023-07-04T10:00:22","guid":{"rendered":"https:\/\/fellowshipbard.com\/?p=3569"},"modified":"2023-07-03T20:02:15","modified_gmt":"2023-07-03T20:02:15","slug":"29-fully-funded-phd-programs-at-forschungszentrum-julich","status":"publish","type":"post","link":"https:\/\/fellowshipbard.com\/29-fully-funded-phd-programs-at-forschungszentrum-julich\/","title":{"rendered":"29 Fully Funded PhD Programs at Forschungszentrum J\u00fclich, Germany"},"content":{"rendered":"
Are you holding Master\u2019s degree and looking for fully funded PhD positions? Forschungszentrum J\u00fclich, Germany invites online application for multiple funded PhD Programs \/ fully funded PhD positions in various research areas.<\/span><\/p>\n Candidates interested in fully funded PhD positions can check the details and may apply as soon as possible. Interested and eligible applicants may submit their online application for PhD programs via the University\u2019s Online Application Portal.\u00a0<\/span><\/p>\n You have a deep interest in how plants optimize nutrient acquisition and acclimate to different soil conditions. You are curious about root functioning and preferably have some experience within plant root research, for example during your master thesis work. You enjoy designing, conducting, and analysing experiments. You enjoy math and quantitative approaches in science and have some affinity with modelling and or computer programming. Apply now<\/strong><\/span><\/a><\/p>\n 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 J\u00fclich 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.<\/span><\/p>\n Apply now<\/strong><\/span><\/a><\/p>\n <\/p>\n Follow FellowshipBard for daily updates! <\/span><\/strong><\/span><\/p>\n Facebook<\/span><\/strong><\/a><\/span><\/p>\n Twitter<\/span><\/strong><\/a><\/span><\/p>\n Linkedin<\/span><\/strong><\/a><\/span><\/p>\n Understanding how neurons and entire brain regions are interconnected requires covering length scales from molecular (nanometers) to the cellular range (micrometers), up to the entire brain. In the research project state-of-the-art optical, serial electron microscopy and synchrotron X-ray methods will be combined to meet this multiscale challenge. The project will involve all aspects of the techniques including sample preparation, experimental development and the handling and analysis of massive data sets. The research project will combine 3D-polarized light microscopy (3D-PLI), serial scanning electron microscopy (sSEM) and synchrotron scanning microbeam X-ray diffraction (s\u00b5XRD) combining expertise from the institutes INM-1 and JCNS-1 at Forschungszentrum J\u00fclich.<\/span><\/p>\n Apply now<\/strong><\/span><\/a><\/p>\n There is a current opening for a doctoral project that would work at the intersection of statistical physics, neural network hardware in neuromorphic systems, and computer science. The project area is to tackle a large class of important computational problems that still challenge science and technology: NP hard problems in combinatorial optimization, which includes scheduling, routing, and many resource allocation problems. The approach will be to combine insights from statistical physics in understanding hardness of such problems and the dynamics of solvers, with biologically-inspired computational hardware approaches to build more energy-efficient physical systems.<\/span><\/p>\n Apply now<\/strong><\/span><\/a><\/p>\n <\/p>\n The institutes PGI-15 and INM-6 have a common aim to understand brain function from a computa-tional point of view, and use this knowledge to create new technologies. Despite the success of recent AI models, the brain is still unparalleled in its ability to adapt to complex environments, and does so in a highly energy-efficient manner. This project aims to combine local learning and neuro-morphic computing to achieve energy efficient networks that can reason in complex environments. You will work on layer-local self-supervised learning rules in context-modulated network architec-tures. We will test these learning rules in a brain-inspired multitask setting, where a single network should learn to solve large numbers of tasks in a context-dependent manner. We will then embed the networks in a closed-loop visual reasoning architecture. The resulting system will be imple-mented on neuromorphic hardware, such as memristive crossbar arrays and\/or Intel Loihi.<\/span><\/p>\n Apply now<\/strong><\/span><\/a><\/p>\n <\/p>\n Hydrogen (H), the most prospective carbon-neutral energy carrier, is a ubiquitous impurity in crystalline solids exhibiting many unique properties upon interactions with lattice atoms and\/or crystal defects. One such unique property is the unexpected formation of lattice damage and in turn H-supersaturated surface layers (HSSL) in metals exposed to H plasma\/ion irradiation with sub-threshold ion energies. Sophisticated experimental design and advanced techniques are available to \u2018see\u2019 H retained at defect microstructures in the nanometer-thick HSSL and to further explore its formation mechanism, microstructure evolution process, including but not limited to transmission electron microscopy (TEM), nuclear reaction analysis (NRA) and atom probe tomography (APT). The project will be jointly supervised by experts from the Institute of Energy & Climate Research (IEK-4: Plasma Physics) and the Ernst Ruska-Centre for Microscopy and Spectroscopy with Electrons (ER-C-2: Materials Science and Technology).<\/span><\/p>\n Apply now<\/strong><\/span><\/a><\/p>\n <\/p>\n Surfaces are crucial for the functional properties of a wide variety of materials. Nuclear magnetic resonance (NMR) spectroscopy is often the best and sometimes the only suitable method to provide structural information about disordered surfaces and surface functionalization. To approach the sensitivity and selectivity limitations of standard NMR, an electrochemistry and a structural biology institute join forces in order to develop and apply surface-selective dynamic nuclear polarization (DNP) NMR techniques, targeting amyloid fibrils and battery interfaces.<\/span><\/p>\n Apply now<\/strong><\/span><\/a><\/p>\n The main objective of the project is the development of affordable, long-term stable corrosion resistant coatings especially for the anode side of the PEM electrolysis. To achieve this an in-depth characterization of the deposited coatings and the formed oxide scales will be performed. A combinatoric approach will allow a fast optimization. The project will be jointly supervised by experts form the institute of Energy and Climate Research (IEK-1: Materials Synthesis and Processing) and the Ernst Ruska-Centre for Microscopy and Spectroscopy with Electrons (ER-C-2: Materials Science and Technology).<\/span><\/p>\n Apply now<\/strong><\/span><\/a><\/p>\n <\/p>\n Traumatic brain injury (TBI) is driven by diffuse astroglial and neuronal injury followed by secondary injury cascades of cellular toxicity, inflammation, and aggregation of toxic proteins. However, the complex interplay of glial cells remains to be elucidated in both trauma and regeneration. Our current mechanistic understanding of TBI in in vitro models has been primarily derived from two-dimensional models. Nevertheless, the in vivo situation is much more complex and warrants 3D impact platforms, addressing the spatiotemporal details of cellular injury strains on human interconnected neuronal-astroglial networks. Using 3D brain organoids incorporating microglia (INM-3) combined with fast forming, simplified neural co-culture systems (IBI-2), the doctoral researcher will use both systems to apply defined strain and compression signals simulating TBI.<\/span><\/p>\n Apply now<\/strong><\/span><\/a><\/p>\n The generation of excess heat is a major bottleneck of semiconductor-based electronics, ranging from small scale wearable applications up to large supercomputers. In turn, by developing suitable on-chip and CMOS compatible thermoelectric technologies, not only internet-of-things applications like wearables could be operated by the body temperature alone, but also a significant contribution to the reduction of greenhouse gas emissions caused by computing could be made by energy reutilization at operating temperatures below 100\u00b0C. The objective is to enable SiGeSn as a novel Si-compatible thermoelectric material able to operate at room or body temperature.<\/span><\/p>\n Apply now<\/strong><\/span><\/a><\/p>\n Glutamate is the main excitatory neurotransmitter in our brain, and impaired glutamate homeostasis causes various neurological diseases. In bacteria, glutamate is the major amino group donor and crucial for the industrial production of chemicals in white biotechnology. To understand glutamate homeostasis in these two system, a neuroscience and a biotechnology institute have teamed up to generate novel fluorescent sensors that permit the quantification of intracellular glutamate concentrations in living cells in real time.<\/span><\/p>\n1. Fully Funded PhD Position in Quantitative Plant Sciences<\/strong><\/span><\/h1>\n
Summary of PhD Program:<\/strong><\/span><\/h2>\n
\n<\/span><\/p>\nApplication Deadline:<\/strong> Open until filled<\/span><\/span><\/h3>\n
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2. <\/strong><\/span>Fully Funded PhD Position in Cryogenic CMOS for Quantum Computing<\/strong><\/span><\/h1>\n
Summary of PhD Program:<\/strong><\/span><\/h2>\n
Application Deadline:<\/strong> Open until filled<\/span><\/span><\/h3>\n
3. <\/strong><\/span>Fully Funded PhD Position in Correlative Optical, X-Ray and Electron Tomography<\/strong><\/span><\/h1>\n
Summary of PhD Program:<\/strong><\/span><\/h2>\n
Application Deadline:<\/strong> 7.8.2023<\/span><\/span><\/h3>\n
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4. <\/strong><\/span>Fully Funded PhD Position in Physics and Neural Network-Based Combinatorial Optimization<\/strong><\/span><\/h1>\n
Summary of PhD Program:<\/strong><\/span><\/h2>\n
Application Deadline:<\/strong> 7.8.2023<\/span><\/span><\/h3>\n
5. <\/strong><\/span>Fully Funded PhD Position in Local Self-Supervision for Closed-Loop Visual Reasoning<\/strong><\/span><\/h1>\n
Summary of PhD Program:<\/strong><\/span><\/h2>\n
Application Deadline:<\/strong> 7.8.2023<\/span><\/span><\/h3>\n
6. <\/strong><\/span>Fully Funded PhD Position in Lattice Damage by Hydrogen at Sub-Threshold Ion Energies<\/strong><\/span><\/h1>\n
Summary of PhD Program:<\/strong><\/span><\/h2>\n
Application Deadline:<\/strong> 7.8.2023<\/span><\/span><\/h3>\n
7. <\/strong><\/span>Fully Funded PhD Position in DNP NMR Based Surface Profiling of Functional Nanomaterials<\/strong><\/span><\/h1>\n
Summary of PhD Program:<\/strong><\/span><\/h2>\n
Application Deadline:<\/strong> 7.8.2023<\/span><\/span><\/h3>\n
10 Best AI Cover Letter Builders<\/a><\/span><\/strong><\/span><\/h3>\n
8. <\/strong><\/span>Fully Funded PhD Position in Corrosion Resistant Coatings for PEM Electrolysis<\/strong><\/span><\/h1>\n
Summary of PhD Program:<\/strong><\/span><\/h2>\n
Application Deadline:<\/strong> 7.8.2023<\/span><\/span><\/h3>\n
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9. <\/strong><\/span>Fully Funded PhD Position in An Organoid Co-Culture System as a Model for Traumatic Brain Injury (TBI)<\/strong><\/span><\/h1>\n
Summary of PhD Program:<\/strong><\/span><\/h2>\n
Application Deadline:<\/strong> 7.8.2023<\/span><\/span><\/h3>\n
\n10. <\/strong><\/span>Fully Funded PhD Position in CMOS Energy Harvesting for Big Data Applications<\/strong><\/span><\/h1>\nSummary of PhD Program:<\/strong><\/span><\/h2>\n
Application Deadline:<\/strong> 7.8.2023<\/span><\/span><\/h3>\n
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11. <\/strong><\/span>Fully Funded PhD Position in Novel Glutamate Sensors for Neuroscience and Biotechnology<\/strong><\/span><\/h1>\n
Summary of PhD Program:<\/strong><\/span><\/h2>\n
Application Deadline:<\/strong> 7.8.2023<\/span><\/span><\/h3>\n