[visionlist] PhD positions @ Italian Institute of Technology (IIT) on Computer Vision, Pattern Recognition, and Machine Learning

[Vittorio Murino]

Apologise for multiple posting
------------------------------------------

Fondazione Istituto Italiano di Tecnologia (IIT - www.iit.it) together 
with the
University of Genova opened the call for the Doctoral Course on
                 *** Life and Humanoid Technologies ***

http://www.iit.it/en/resources/calls/unige/xxvii-cycle-doctoral-school-on-life-and-humanoid-technologies.html

In this context, Ph.D. positions are available at the Pattern analysis, 
Learning, and image Understanding Systems laboratory -- PLUS lab -- to 
work in Computer Vision, Pattern Recognition and Machine Learning and 
more specifically on the  following themes:

Theme 4.1: Computer vision for behavioral analysis and activity recognition
Theme 4.2: Part-based human body modeling
Theme 4.3: Crowd behavioural analysis and event recognition
Theme 4.4: Multi-sensory surveillance
Theme 4.5: Scene analysis by biometric signals
Theme 4.6: Computer vision in distributed and dynamic camera networks
Theme 4.7: Statistical pattern recognition for social computing
Theme 4.8: Compressive Sensing in Computer Vision and Pattern Recognition
Theme 4.9: Statistical Pattern Recognition for Bioinformatics and 
Computational Biology
Theme 4.10: Biomedical image analysis
Theme 4.11: GPU Image Processing and Pattern Recognition for Nanophysics
Theme 4.12: Visual analysis of human behaviors as evoked by ambient 
affordances

More info on the above research topics can be found on the Annex A2 
(Nanoscience) under the topic "Computer Vision" at http://goo.gl/bNDbm 
<http://www.studenti.unige.it/sites/www.studenti.unige.it/files/Allegato%20A2%20Nanosciences.pdf>, 
or can be asked to Prof. V. Murino (vittorio.murino at iit.it) or any other 
tutor as indicated in the themes.

The PhD program on the listed themes will take place at the PLUS lab of 
the Italian Institute of Technology (IIT) located in Genova. The lab 
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 PLUS staff has a wide expertise on image processing, computer 
vision and pattern recognition, machine learning, and related 
applications. Actually, the research in PLUS 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, PLUS 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 PLUS lab webpages to see our activities and  
research at: http://www.iit.it/en/computer-imaging.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 (or more) theme you want to apply and 
to include a research statement (research 
proposal/project/plan/rationale) on such theme.

DEADLINE is September 23, 2011 at noon (strict deadline, no extension).
ONLINE APPLICATIONS only, look at: 
http://servizionline.unige.it/studenti/post-laurea/dottorato


For more information on administrative issues, please contact:
Manuela Salvatori
tel.: 010.71781762
e-mail: manuela.salvatori at iit.it
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