As soon as possible

Ferroelectric Field-Effect Transistors (FeFETs) are considered as one of the enabling technologies for the next generation highly energy efficient computing systems. FeFETs are programmable, non-volatile silicon-based devices that can facilitate novel architectures able to efficiently perform complex, irregular, highly dynamic computational tasks. More precisely, our focus in on bringing processing capabilities close to the data sources, e.g., AI at the edge but not limited to. The goal is to minimize data access latency, bring the overall system energy efficiency to levels impossible with current technology and as a result enable new applications. In this PhD project you will work on the design and validation of a new generation of FeFET-based data processing architectures, algorithms and tools that can accelerate complex applications able to solve challenging problems from real-life. The work will be performed within a multidisciplinary team of PhD students working at different levels, starting from advanced ferroelectric materials and circuit design, up to heterogeneous computing systems.

MSc degree in the field of computer engineering, computer science, electrical engineering or similar with an affection for computationally demanding applications and machine learning.

Prof. dr. ir. Georgi Gaydadjiev (g.gaydadjiev@rug.nl)