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dedicated cleanroom area supports the assembly and integration of flight hardware, ensuring high reliability and adherence to space standards. Adjacent to the electronics lab, the Space Technology Testing
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analyse fast transient or pulsed electrical signals using appropriate measurement instrumentation. Select appropriate measurement bandwidths, probes, cabling and acquisition methods for reliable high
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on AI-assisted reverse engineering of integrated circuits for hardware assurance and intelligence analysis. The project is conducted within the Deep Learning for Perception and Data Science, Safety and
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scientific initiative focused on AI-assisted reverse engineering of integrated circuits for hardware assurance and intelligence analysis. The project is conducted within the Deep Learning for Perception and
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, materials science, polymer engineering, or a comparable field of study In-depth knowledge in the areas of polymer materials, polymer characterization, and data analysis Excellent computer skills and
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data analysis would be highly advantageous but is not essential. We value reliability, care in laboratory practice and willingness to learn as much as formal experience. Excellent communication and
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results, numerical modelling, and analytical approaches to support the development of respective reliable and efficient design concepts. Led by Prof. Christoph Odenbreit, the ArcelorMittal Chair of Steel
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microstructural characterization: Operation and analysis using advanced analytical techniques (GISAXS, GIWAXS, TEM, SCLC experiments) to correlate the evolution of semiparacrystalline (SPC) morphology with device
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dissemination of research results Operation, setup, and maintenance of laboratory equipment. Experimental data processing and analysis. Requirements: The successful candidate must hold a Ph.D. degree in Materials
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, 2028 730 days Advanced microstructural characterization: Operation and analysis using advanced analytical techniques (GISAXS, GIWAXS, TEM, SCLC experiments) to correlate the evolution