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characterization of high-quality 2D ferroelectric materials (e.g. 3R-TMDs, layered ferroelectrics) using exfoliation, stacking, and ultra-clean heterostructure assembly techniques. Advanced optical and
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Description We are looking for an individual who is motivated by the project and does not settle for simply completing tasks, but rather shows initiative and a desire to make a personal contribution. The ideal
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a motivated and experienced candidate to work on computational modelling of low dimensional electroactive materials for energy applications. The project will focus on systems based on arrays of stable
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to the construction, assembly, installation and commissioning in experiments at CERN, KEK, several telescopes at El Roque de los Muchachos, Chile and USA observatories, and the Euclid Space Mission. It has specialized
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will apply advanced electron microscopy techniques, including STEM to investigate the structure and behaviour of catalytic nanomaterials critical for green hydrogen and energy technologies. The candidate
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hardware constraints, improve system control, and unlock new modes of problem-solving that surpass classical approaches. The ML-QSIM project is built upon a robust multi-node and multi-regional structure