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Field
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highly accurate computational tools for predicting satellite features in XPS spectra of 2D framework materials. Your work will be based on the GW approximation within Green’s function theory. While the GW
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materialists, electrical engineers, and computer scientists of TUD, RWTH Aachen and Gesellschaft für Angewandte Mikro- und Optoelektronik mbH (AMO ) in Aachen, Forschungszentrum Jülich (FZJ ), Max Planck
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at the electrolyte/ electrode interface You participate in regular project meetings with the involved partners from industry and research Your Profile: Completed academic studies (Master) in chemistry or materials
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systems, green hydrogen through photoelectrochemistry, and material design. PhD student Reference code: 50137691_4 – 2025/WT 1 Commencement date: as soon as possible Work location: Geesthacht (near
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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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English Languages Courses are usually held in English. The dissertation is written in English. Mode of study Less than 50% online Programme duration 6 semesters Beginning Only for doctoral programmes: any
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therefore teams up materialists, electrical engineers, and computer scientists of TUD, RWTH Aachen and Gesellschaft für Angewandte Mikro- und Optoelektronik mbH ( AMO ) in Aachen, Forschungszentrum Jülich
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to work in a team and in a research network • Computer programming experience • Knowledge in electronics • Experience in the field of optics and quantum optics is desirable We offer: • A truly unique
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, photon science, materials science and ultrafast X-ray science. What these data challenges have in common is that they cannot be addressed with standard computational methods but rather require modern data
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in inorganic synthesis and/or Schlenk-line preparations Experience with scientific programming (e.g., MATLAB, LabView) is advantageous Experience performing quantum chemistry computations (e.g., DFT