[Comp-neuro] Postdoc position on analysis of retinal electrophysiology in response to visual stimulation

Diego Sona diego.sona at gmail.com
Wed Feb 20 14:23:12 CET 2013


A three years postdoctoral position in computer vision and pattern recognition is available in the department of Pattern Analysis and Computer Vision (PAVIS) at the Istituto Italiano di Tecnologia (IIT) of Genova, Italy.

The research position is part of the EU project RENVISION (Retina-inspired ENcoding for advanced VISION tasks) awarded within the initiative of Future Emerging Technologies: Neuro-Bio-Inspired Systems (NBIS). The project is highly interdisciplinary, including neuroengineering, electrophysiology, high-resolution microscopy imaging, computational modelling, data analysis, machine learning and computer vision.

The candidate will design novel methodologies and algorithms based on pattern recognition and machine learning techniques, aiming at analysing electrophysiological recordings of retina in response to visual stimulation.
The aim is to discover representative and/or discriminative features in retina coding allowing for high-level vision tasks, such as scene categorization and action recognition.

The ideal candidate has a PhD in Computer Science, Mathematics, Electronic Engineering or a closely-related discipline, with competences on machine learning/pattern recognition/computer vision, coupled with a keen interest in neuroscience and biological data processing and analysis. Expertise on compressive sensing and deep learning is in general preferred. Experience on spiking networks or retinal function will be appreciated while not being a discriminating factor. Strong programming skill is required.

Further information can be found at:
http://www.iit.it/en/openings/research-departments/pattern-analysis-a-computer-vision.html


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Diego Sona
Pattern Analysis & Computer Vision (PAVIS)
Istituto Italiano di Tecnologia (IIT)
Via Morego 30
16163 Genova, Italy

Phone:	+39 010 71781 819
E-mail:	diego.sona AT iit DOT it
www.iit.it/pavis.html
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