Connectionists: PhD call - 2016 PhD Course on SCIENCE AND TECHNOLOGY FOR ELECTRONIC AND TELECOMMUNICATION ENGINEERING, in the "COMPUTATIONAL VISION, AUTOMATIC RECOGNITION AND LEARNING (CODE 6213)" curriculum.

[Pavis]

PhD call - 2016 PhD Course on SCIENCE AND TECHNOLOGY FOR ELECTRONIC AND TELECOMMUNICATION ENGINEERING, in the "COMPUTATIONAL VISION, AUTOMATIC RECOGNITION AND LEARNING (CODE 6213)" curriculum.

Fondazione Istituto Italiano di Tecnologia (IIT - www.iit.it) together with the University of Genova opened the call for the 2016 Doctoral Course on Sciences & Technologies For Electronics & Telecommunication - Curriculum in Computer Vision, Pattern Recognition and Machine Learning.

In this context, Ph.D. positions are available at the Pattern Analysis and Computer Vision (PAVIS) Dept. and at the Visual Geometry and Modeling Lab (VGM Lab) to work in Computer Vision, Pattern Recognition and Machine Learning, and more specifically on the following themes:

Theme A - Computer vision for behavioral analysis and activity recognition
Theme B - Computer vision for the prediction of human intentions
Theme C - Part-based human body modeling for Socially-Aware Computer Vision
Theme D - Crowd behavioral analysis and event recognition
Theme E - Re-identification
Theme F - Time-lapse Computer Vision for long-term learning
Theme G - Semantic 3D scene reconstruction and modelling
Theme H - Sensing humans: enhancing social abilities of the iCub platform
Theme I - Biomedical imaging
Theme L - Connectomics
Theme M - Animal behavior analysis

More info on the above research topics can be found at: https://pavisdata.iit.it/data/phd2016/ResearchThemes_IIT-PAVIS.pdf or directly asked to Prof. V. Murino (vittorio.murino at iit.it) or any other tutor indicated for each theme.

The PhD program on the listed themes will take place at the PAVIS department of Istituto Italiano di Tecnologia (IIT) located in Genova (www.iit.it). The department focuses on activities related to the analysis and understanding of images and patterns in

general, thus representing a reference for the other IIT Departments and labs which have to deal with such kind of data. The PAVIS and VGM Lab staff has a wide expertise on image processing, computer vision and pattern recognition, machine learning, and related applications (mainly surveillance/security and biomedical).

For more information, you can also browse the PAVIS and VGM Lab webpages to see our activities and research at: http://old.iit.it/en/research/departments/pattern-analysis-and-computer-vision.html and www.iit.it/lines/visual-geometry-and-
modelling

To apply, follow the instructions indicated in this link: http://www.studenti.unige.it/postlaurea/dottorati/XXXII/ in short: a detailed CV, a research proposal under one or more themes chosen among those above indicated, reference letters, and any
other formal document concerning the degrees earned.

Notice that these documents are mandatory in order to consider valid the application.

IMPORTANT: In order to apply, candidates must prepare a research proposal based on the research topics above mentioned. Please follow these indications to prepare it: https://pavisdata.iit.it/data/phd2016/ResearchProjectTemplate.pdf

ONLINE APPLICATION DEADLINE is June 10th, 2016 at 12:00 p.m. (noon – Italian time/CET) Strict deadline, no extension.

APPLICATIONS are possible through University of Genoa ONLINE PROCEDURE ONLY - http://www.studenti.unige.it/postlaurea/dottorati/XXXII/