KEY TAKEAWAYS

• 
  Hours
  38 - 40 hr.
• 
  Salary indication
  Salary gross/monthly
  based on full-time
  € 3,059 - € 3,881
• 
  Deadline
  30 Sep 2025
  This position is part of the NWO KIC Smart Materials project, Smart Materials for Information Processing, in collaboration with the NanoElectronics (NE) group at the University of Twente and the Infomatter group at AMOLF. The SMIP project aims at revolutionising 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, improving performance and durability in automotive applications.
  Specifically, this PhD project focuses on memristive materials as electronic realizations of the hysteron concept at the heart of the SMIP project. A hysteron is characterized by a hysteretic current-voltage characteristic; thereby, its response depends critically on its history. You will work on conceptualizing, fabricating, and characterizing effective memristive devices, with the goal of forming device networks for realizing the physical learning paradigm developed at AMOLF. You will integrate these memristive devices with the reconfigurable nonlinear processing units (RNPUs) developed in the NE partner group to harness the full richness of both material platforms.

Please refer the Job description for details