Postdoc position for 2 years.

To bring computing power to the edge and to make the cloud sustainable, various paradigms for energy-efficient computing are emerging. These paradigms, for example neuromorphic, wave-based, probabilistic, and in-memory computing, are based on a wide variety of physical processes, materials, architectures, and algorithms. For effective implementation, these aspects need to be mapped, integrated with current technology, and coupled to technological use cases.

In this two-year project, a postdoctoral researcher will join forces with academic and industrial consortium partners to map how emerging computing paradigms can be implemented. The results of the various research projects in the consortium and developments reported in the literature will be monitored and analyzed. Where feasible and opportune, proof-of-principle experiments will be conducted together with various consortium partners. You have a background in hands-on (wafer-scale) device fabrication, preferably based on processing of advanced materials.

The Interfaces and Correlated Electron systems group (ICE) focuses on materials and interfaces with unconventional electronic properties, especially related to interactions between the mobile charge carriers.

The research is aimed to bridge fundamental studies with application-oriented ‘proof-of-principle’ device developments. Most of the experimental research concentrates around thin film samples, which are fabricated in house with advanced thin film deposition and structuring techniques.