PhD Position on memristive smart materials

**Job Description**
This PhD position is part of the NWO KIC Smart Materials project, “Smart Materials for Information Processing (SMIP),” a collaborative effort between the NanoElectronics group at the University of Twente and the Infomatter group at AMOLF, with industry partners Toyota and Demcon TSST. The project aims to revolutionize computing by developing adaptive, smart materials that combine memory and learning directly within their structure, specifically focusing on memristive materials as electronic realizations of the hysteron concept. The successful candidate will conceptualize, fabricate, and characterize effective memristive devices, form device networks for physical learning paradigms developed at AMOLF, and integrate these devices with reconfigurable nonlinear processing units (RNPUs) to advance automotive applications.

**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
• 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
• Similar fields

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