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, XPS/AFM, electrical probing; DoE/statistics (Python/Matlab a plus). Strong documentation, safety discipline, and clear communication in English. Process integration & optimization; root-cause/failure
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studies (QCM-D, AFM), analytics (SEC-MALS/A4F) as well as spectroscopy (NMR/fluorescence/UV/vis) – all supported by quantitative data analysis. The PhD candidate will contribute to bridging research
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: TEM/STEM-EDS, SEM, AFM, XRD, FTIR/Raman spectroscopy, UV–Vis/fluorescence spectroscopy, or ICP-MS/OES analysis. Experience with protein engineering or characterisation is favourable but not required
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fluidic models to interface with appropriate imaging and analytical methods such as optical microscopy, SEM, real-time AFM, Raman microscopy, nano-FTIR. Use the validated models to study the dynamics
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development of advanced characterization methodologies for soft matter, colloids, and bio–nano interfaces, including atomic force microscopy (AFM), scattering techniques, spectroscopy, acoustic sensing, and
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measurements at low temperatures Optical spectroscopic measurements Materials characterizations (AFM, SEM, TEM, Raman, etc.) Salary and Rank Special Instructions Applications received by March 1, 2026 will