KEY TAKEAWAYS

• 
  Hours
  40 hr.
• 
  Salary indication
  Salary gross/monthly
  based on full-time
  € 2,901 - € 3,707
• 
  Deadline
  30 Jul 2025
  This position is part of the NWO KIC Smart Materials project, Smart Materials for Information Processing, in collaboration with the Interfaces and Correlated Electronics (ICE) 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 fuel-cell management prototype, achieving better performance and durability.
  In 2020, we introduced the concept of reconfigurable nonlinear processing units (RNPUs, [Nature 577, 341-345, 2020[(https://www.nature.com/articles/s41586-019-1901-0). In this PhD project, you will work on the development of efficient machine learning procedures to be applied to RNPU networks in combination with memristive materials and applying the theoretical hysteron concept.

Please refer the Job description for details