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AISB YouTube Channel

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Notice

AISB opportunities Bulletin Item

2 x Postdoc Fellowships: University of Verona, Dept of Computer Science


Postdoctoral Fellowship in Video Surveillance
and
Postdoctoral Fellowship in Similarity-based Pattern Recognition

One Postdoctoral Research Assistant in
Intelligent Surveillance System (EU FP7 SAMURAI project)

Dipartimento di Informatica, University of Verona, Italy


Applications are invited for one full time postdoctoral research 
assistants to undertake research within the context of an European Union 
FP7-funded project SAMURAI (Suspicious and Abnormal behaviour Monitoring 
Using a netwoRk of cAmeras & sensors for sItuation awareness).
SAMURAI is a joint FP7 project combining strength of 9 academic and 
industrial partners throughout Europe, aiming to develop and integrate 
an innovative intelligent surveillance system for robust behaviour 
monitoring of critical public infrastructure sites.
The SAMURAI project is awaiting final EU sign off and will likely start 
on June 1st, 2008.

The successful candidate will develop models, algorithms, and systems 
for robust vehicle, luggage, and person detection, tagging, 
categorisation and tracking, automated focus of attention using Pan 
Tilt-Zoom (PTZ) and mobile cameras with positioning sensors in a 
distributed camera network, and online incremental profiling and 
inference of video behaviours across camera views for the detection and 
prediction of alert situations.

The successful candidate will be based at the Dipartimento di 
Informatica of the University of Verona, specifically at the Vision, 
Image Processing, & Sound (VIPS) Laboratory, one of Italys leading 
research laboratories in Computer Vision and pattern recognition, headed 
by Prof. Vittorio Murino (http://vips.sci.univr.it/).

Regarding the activities in the context of the SAMURAI project, the lab 
currently undertakes research on video behaviour analysis and abnormal 
event detection, people detection and tracking in crowded scenes, video 
object super-resolution for face recognition, human facial expression 
and body language modelling, audio-video avatar, dynamic scene 
background removal and object categorisation.

The postdoctoral position is for 1 year renewable for 3 years starting 
from 1st June 2008 or as soon as possible thereafter. Candidates should 
have a PhD in computer vision and/or machine learning (or at least have 
submitted the thesis and awaiting the viva).
The salary will be about 22,000  per annum plus an additional grant to 
partially cover the lodging in Verona according to the local costs.

Further details and informal enquires can be made by email to Prof 
Vittorio Murino: vittorio.murino@univr.it and Dr Marco Cristani: 
marco.cristani@univr.it.

Completed application forms along with a CV listing all publications, a 
pdf of your representative publications and a research statement 
describing your previous research experience and outlining its relevance 
to this project should be sent electronically to V. Murino @: 
vittorio.murino@univr.it.
Please, also arrange to indicate three independent references inside the 
CV or the email.

The closing date for applications is Monday 21th April 2008, well 
contact the candidates for the follow-on of the procedure.

**************

One Post Doctoral Research Fellow on
Similarity-based Pattern Recognition in the context of EU FP7 SIMBAD project

Dipartimento di Informatica, University of Verona, Italy


Applications are invited for one full time postdoctoral research 
assistants to undertake research within the context of an European Union 
FP7-funded project SIMBAD, Beyond Features:Similarity-Based Pattern 
Analysis and Recognition.
SIMBAD is a 3 year EU FET (Future & Emerging Technology) project 
involving University of Venice, Delft University of Technology, ETH 
Zurich, IST Lisbon, University of York, and University of Verona (UNIVR, 
Dipartimento di Informatica). The overall project aim is to develop new 
methods for pattern analysis and machine learning based on potentially 
non-metric similarity data.
The SIMBAD project will start on April 1st, 2008.

UNIVR's contribution to the project will to create novel (dis)similarity 
measures among graph-structured data through arbitrary generative 
models, investigating in particular information geometry model 
projections in highly informative spaces, such as the Fishers space.

The successful candidates will be based at the Dipartimento di 
Informatica of the University of Verona, specifically at the Vision, 
Image Processing, & Sound (VIPS) Laboratory,  one of Italys leading 
research laboratories in Computer Vision and Pattern Recognition, headed 
by Prof. Vittorio Murino (http://vips.sci.univr.it/).

The lab currently undertakes research on statistical Pattern 
Recognition, with theoretical emphasis on generative-discriminative 
modelling and practical relapses on video-surveillance and video 
understanding, bioinformatics, 3D geometrical modelling, scene and 
object representation and retrieval.

The postdoctoral position is for 1 year renewable for 3 years starting 
from 1st June 2008 or as soon as possible thereafter. Candidates should 
have a PhD in Computer Vision and/or Machine Learning (or at least have 
submitted the thesis and awaiting the viva).
The salary will be about 22,000  per annum plus an additional grant to 
partially cover the lodging in Verona according to the local costs.

Further details and informal enquires can be made by email to Prof 
Vittorio Murino: vittorio.murino@univr.it and Dr Umberto Castellani: 
umberto.castellani@univr.it.

Completed application forms along with a CV listing all publications, a 
pdf of your representative publications and a research statement 
describing your previous research experience and outlining its relevance 
to this project should be sent electronically to V. Murino @: 
vittorio.murino@univr.it.
Please, also arrange to indicate three independent references inside the 
CV or the email.

The closing date for applications is Friday 18th April 2008, well 
contact the candidates for the follow-on of the procedure.