57 parallel-computing-numerical-methods-"Simons-Foundation" PhD positions at Forschungszentrum Jülich
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of X-ray methods Knowledge of X-ray optics Knowledge of synchrotron science Knowledge of catalysis and energy storage Experience with programming languages (ideally Python), SPS controls system Fluent in
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materials, mechanical testing methods, and microstructural characterization techniques Very good command of English (spoken and written); basic knowledge of German is desirable Our Offer: We work on the very
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methods to make them usable for transparent energy systems analyses. The collected data will be processed and semantically enriched using methods you develop before being transferred to a knowledge graph
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focus on eye tracking Collaborating closely with partners from computer science (IAS-7, RWTH) Presenting your work at psychological and interdisciplinary conferences Publishing your findings in scientific
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different disciplines across biology, chemistry, physics and informatics to advance cryo-(S)TEM methods 30 days of annual leave and provision for days off between public holidays and weekends (e.g. between
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of various electrochemical (EIS, LSV, CV, galvanostatic cycling, plating-stripping experiments), spectroscopic (NMR, FT IR, Raman, UV-VIS, XPS) and safety-related methods You investigate the interfaces between
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analytical procedures and data processing methods to determine key performance indicators Use state of the art techniques for the characterization of solids before and after catalytic reactions Evaluate your
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on investigating the change in the catalysts surface under relevant process conditions using spectroscopic analysis methods. Your task will include: Application of established and novel methods for the preparation
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Profile: University degree (M.Sc., diploma or equivalent) in materials science, engineering sciences, or physics Experience in at least one of the methods of X-ray imaging, transmission electron microscopy
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Your Job: Maintain, and update quantitative methods for assessing economic impacts of the energy transition at the national and regional levels Develop dynamic and multisectoral economic models