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characterization, and integration of machine learning to correlate synthesis conditions with functional performance. The goal is to establish predictive synthesis strategies for oxygen vacancy control, with
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: MSc in Physics, Materials Science, Nanoscience, Computer Engineering, Data Science, Gaming Engineering or a related discipline. · Knowledge: Strong coding skills in Python and knowledge in materials
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skills Excellent organizational and time-management skills, including the ability to deliver timely and high-quality outputs Enthusiasm to learn new skills outside own discipline Summary of conditions
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throughout the duration of their PhD, plus periodical monitoring and evaluation activities. The objective is to provide students with all the support they need for the proper development of their research
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characterize new reticular materials (COFs), and use them as precursor for the generation of new polymers via Clip-off chemistry. The candidate will acquire a great experience in supramolecular, reticular and
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with relevant experimental experience, at the time of joining ICN2. Summary of conditions: Full time work (37,5h/week) Contract Length: 4 years Location: Bellaterra (Barcelona) Salary will depend