**Job Description**
This Ph.D. project 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. The project focuses on memristive materials as electronic realizations of the hysteron concept, central to SMIP. The goal is to develop and integrate these materials into a self-learning chip prototype, enhancing performance and durability for applications, particularly in the automotive sector, through collaboration with the NanoElectronics (NE) group at the University of Twente and the Infomatter group at AMOLF.
**Skills & Abilities**
• Highly motivated and enthusiastic
• Fascination for unconventional device concepts
• Strong affinity for materials physics and machine/physical learning
• Independent and original thinker with a creative mindset
• Fast thinker with excellent analytical and communication skills
• Good team spirit and ability to work in an internationally oriented environment
• Experienced with Python and/or similar programming languages
• Fluent in English
**Qualifications**
Required Degree(s) in:
• (semiconductor) physics
• materials science
• electrical engineering or similar
**Experience**
Other:
• MSc degree required
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