ESR-15: PhD at University of Zurich, Switzerland
Device modeling and circuit simulation
Prof. dr. Giacomo Indiveri
Prof. dr. Melika Payvand (University of Zurich, Switzerland)
Jean Fompeyrine (IBM Research – Zurich, Switzerland)
Recurrent networks of spiking neurons with memristive synapses
The aim of this project is to realize a hybrid memristive-CMOS neuromorphic event-based neural processing system that can extract features and classify temporal data streams. In particular, the project aims to start by employing a recently developed neuromorphic chip with integrated memristive devices to characterize the integrated memristor properties, perform preliminary spiking neural network experiments applied to spatio-temporal patterns, and implement spiking recurrent models to achieve robust spatio-temporal pattern classification. The main part of the research will be performed at University of Zurich, Switzerland. Additionally, the ESR will spent the secondments at Forschungszentrum Jülich, Germany for the characterization of stochastic switching in redox-based memristive devices and derivation of specifications for CMOS interfacing circuits (3 Months) and at IBMResearch – Zurich, Switzerland for the development of specifications, and design of interfacing CMOS circuits for the construction of neuromorphic computing CMOS architectures with memristive devices (3Months).
The University of Zurich (UZH) is a Cantonal university dedicated to higher learning and research. UZH is one of the leading research universities in Europe, devoted to both scientific research and teaching. Two thousand lecturers in 140 special institutes provide the broadest range of subjects and courses available from any Swiss seat of higher education. With 24,000 students and 1,900 graduates every year, Zurich is also Switzerland’s largest university.
The Institute of Neuroinformatics (INI) is a joint institute of the Swiss Federal Institute of Technology Zurich (ETHZ) and the University of Zurich (UZH). It was founded in 1995 to carry out experimental, theoretical and applied research with the aim of discovering key principles by which the brain is built and works, and to use this knowledge in practical applications where possible.
Additional information for applicants
We look for a candidate with a master degree in Electrical Engineering.
For more details on the project, contact firstname.lastname@example.org