Job Description
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.
Information and application
Are you interested in this position? Please send your application via the ‘Apply now’ button below before September 30.