**Job Description**
This PhD position is part of the NWO KIC Smart Materials project, Smart Materials for Information Processing (SMIP), which aims to revolutionize computing by developing adaptive, smart materials that combine memory and learning directly within their structure, uniting theory and experiment. These materials adapt their computations over time, reducing energy use and improving efficiency. Partnering with Toyota and Demcon TSST, SMIP will showcase this innovation through a self-learning chip prototype for automotive applications. Specifically, this PhD project focuses on memristive materials as electronic realizations of the hysteron concept at the heart of the SMIP project.
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