Connectionists: [PhD call] 2015 Doctoral Course on Sciences & Technologies For Electronics & Telecommunication - Curriculum in Computer Vision, Pattern Recognition and Machine Learning

IIT PAVIS PAVIS at iit.it
Mon May 25 08:16:51 EDT 2015


Fondazione Istituto Italiano di Tecnologia (IIT - www.iit.it) together 
with the University of Genova opened the call for the 2015 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. 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 using soft biometric cues

Theme F: Long term visual learning for 3D scene understanding

Theme G: Biomedical imaging and connectomics analysis

Theme H: Animal behavior analysis

More info on the above research topics can be found at: 
http://iit.it/images/phd-xxxi/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 the 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 staff has a wide expertise on image 
processing, computer vision and pattern recognition, machine learning, 
and related applications. Actually, the research in PAVIS is devoted to 
study and to build intelligent systems for real applications, especially 
related, but not limited, to surveillance & security, biomedical 
imaging, and bioinformatics. One of the primary goals is to design and 
develop innovative video surveillance systems, characterized by the use 
of highly-functional smart sensors and advanced video analytics 
features. To this end, PAVIS performs cutting edge research in computer 
vision and pattern recognition, but also in biometrics, multimodal data 
and sensor fusion, sensors networks, and embedded computer vision.

Further, another target of the lab is to explore novel strategies in 
biomedical image analysis and bioinformatics, due to the versatility of 
the techniques it can manage.

You can also browse the PAVIS webpages to see our activities and 
research at: http://www.iit.it/pavis.html

To apply, follow the instructions indicated in the links, 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: You need to specify the theme (one or more) you want to apply 
and include a research statement (research 
proposal/project/plan/rationale) on such theme.

ONLINE APPLICATION DEADLINE is June 10th, 2015 at 12:00 p.m. (noon – 
Italian time/CET) Strict deadline, no extension.

APPLICATIONS are possible through ONLINE PROCEDURE ONLY, look at: 
http://www.studenti.unige.it/postlaurea/dottorati/XXXI/

For more information on administrative issues, please e-mail: pavis at iit.it


-- 
Vittorio Murino

*******************************************
Prof. Vittorio Murino, Ph.D.
Director
PAVIS - Pattern Analysis & Computer Vision

IIT Istituto Italiano di Tecnologia
Via Morego 30
16163 Genova, Italy

Phone:	+39 010 71781 504
Mobile: +39 329 6508554
Fax: +39 010 71781 236
E-mail: vittorio.murino at iit.it

Secretary: Sara Curreli
email:	sara.curreli at iit.it
Phone: 	+39 010 71781 917

http://www.iit.it/pavis
********************************************


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