A position as postdoctoral fellow in the field of neuromorphic computing and artificial neural networks is available at the research group lead by Professor Mario Lanza at the King Abdullah University of Science and Technology (KAUST), in Saudi Arabia. The selected candidate will work on the implementation of artificial neural networks and machine learning algorithms using emerging electronic devices, such crossbar arrays of memristors (among others). Commensurate salary, housing in a gorgeous campus, medical insurance, access to cutting-edge facilities, and integration in an experienced group will be provided.
Duties and responsibilities
Characterization of the figures-of-merit of electronic synapses and neurons.
Modification of device parameters for synaptic signal optimization.
Circuit design for programming crossbar arrays of memristors.
Circuit design for synaptic and neuronal signal processing.
Artificial neural networks simulation and training using Phython and Matlab.
Mentoring master and PhD students in the group (optional).
Postdoctoral fellow contract renewable up to 3 years.
Commensurate salary depending on skills (note that in Saudi Arabia there is no income tax).
Housing in a gorgeous campus by the Red Sea, medical coverage and support for relocation.
Access to cutting-edge computational facilities and laboratories.
PhD in electronic engineering, computer science or informatics.
Excellent oral and written communication skills in English.
Selected candidates must have published at least 3 papers as first author in top journals or conferences.
Experience on memristive neural networks (not mandatory but highly valued).
Send an updated CV and 5 representative papers in PDF format
Send the contact information of 4 persons who may provide a recommendation letter
Application deadline: Until positions are filledMeer informatie
|Titel||POSTDOCTORAL FELLOW - NEUROMORPHIC COMPUTING AND ARTIFICIAL NEURAL NETWORKS|
|Employer||King Abdullah University of Science and Technology (KAUST)|
|Job location||King Abdullah University of Science and Technology, Thuwal|
|Gepubliceerd||januari 12, 2021|
|Vakgebieden||Informatica,   Algoritmen,   Kunstmatige intelligentie,   Kunstmatige neurale netwerken,   Computerarchitectuur,   Computertechniek (Computer engineering),   Elektrotechniek,   Machinaal Leren,   Signaalverwerking,    and 1 more. Electronica  |