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be involved in the three-year project “High Dimensional Hierarchical Optimization methods for Machine Learning and Stochastic Optimal Control”. Background or expertise in one or more of the following
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to extrusion and compounding Develop insights into interfacial stability, flow instabilities, and morphology control in multiphase and multilayer systems. Support and optimize advanced polymer processing
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, processing optimization, and experimental troubleshooting Materials characterization using techniques such as GIWAXS, Raman, FTIR, UV-vis, and electrical transport measurements Understanding structure-property
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Thin-film fabrication, processing optimization, and experimental troubleshooting Materials characterization using techniques such as GIWAXS, Raman, FTIR, UV-vis, and electrical transport measurements
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collaboration with the surface-chemistry postdoc. Responsibilities Fabricate CQD infrared photodetectors using solution-processed thin films. Optimize device structures, transport layers, electrodes, and
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, with expertise in colloidal nanocrystal synthesis or optoelectronic device physics. Experience in III–V CQDs, infrared photodetectors, surface spectroscopy, thin-film processing, or low-noise
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. Responsibilities Development and optimization of perovskite-based solar cells at different levels. Developing large-area perovskite solar cells utilizing KPV-LAB's baseline processes. Performing accurate device
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solvent extraction, membranes, and adsorption, for recycling and purification of selected elements from the cathode materials. System level performance optimization of metal recovery processes. Publish
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, the generated data can be used to optimize mineral extraction processes from existing mines within a geometallurgical framework. The position will mostly focus on the development of measurement protocols and data