<html>
<head>
<meta http-equiv="Content-Type" content="text/html; charset=iso-8859-1">
<style type="text/css" style="display:none;"><!-- P {margin-top:0;margin-bottom:0;} --></style>
</head>
<body dir="ltr">
<div id="divtagdefaultwrapper" style="font-size:12pt;color:#000000;font-family:Calibri,Arial,Helvetica,sans-serif;" dir="ltr">
1 Postdoc position on visual inspection for the textile industry - [ Postdoc ] CB<br>
<div style="color: rgb(0, 0, 0);">
<div>
<div id="divtagdefaultwrapper" dir="ltr" style="font-size:12pt; color:#000000; font-family:Calibri,Arial,Helvetica,sans-serif">
<div>Workplace: IIT - Istituto Italiano di Tecnologia, Genova, Italy<br>
<br>
The Pattern Analysis and Computer Vision department (PAVIS) at IIT is looking for a highly qualified postdoc with a strong background in Computer Vision and Pattern Recognition, with particular emphasis on automatic visual inspection applications and other
related areas (e.g., recognition, video analysis, etc.).<br>
The main mission of PAVIS is to design and develop innovative image- and video-based intelligent systems, characterized by the use of highly functional smart sensors and advanced data analytics features. PAVIS also plays an active role in supporting the other
IIT research units providing scientists in Neuroscience, Nanophysics and other IIT departments/centers with ad-hoc solutions.<br>
To this end, the group is involved in activities concerning computer vision and pattern recognition, machine learning, multimodal data analysis and sensor fusion. The lab will pursue this goal by working collaboratively and in cooperation with external private
and public partners.<br>
<br>
This call aims at consolidating PAVIS expertise in the research area of automatic visual inspection in the context of highly efficient industrial applications. The research theme is related to the creation of a system that can inspect material on the textile
industry, in particular, yarn control in all its aspects (waste estimation, bale quality control, neps detection, etc.).<br>
This likely implies the development of state-of-the-art and novel algorithms for detection, classification and quality control that should work in a highly automated industrial scenario, in the context of Industry 4.0 framework. In particular, we deem that
this inspection problem will require the joint study of computer vision algorithms with machine learning approaches, both traditional and deep learning. This project will be carried out in collaboration with a major industrial partner.<br>
<br>
Candidates for this position should have a Ph.D. in computer vision, pattern recognition or related areas, and research experience and qualification should follow the same lines. Good programming skills in Matlab and C/C++ are also required; knowledge of OpenCV
will be considered a plus. Evidence of top quality research on the above-specified areas in the form of published papers in top conferences/journals and/or patents is also mandatory.<br>
Experience in funded research or industrial proposals (EU, US, national), and a few years of postdoc experience, either in academia or industrial lab, will also be duly considered.<br>
He/she is expected to publish his/her research results in leading international journals and conferences, attend project meetings and writing reports, supervise PhD students and collaborate with other scientists, also with different expertise.<br>
Salary will be commensurate with qualification and experience and in line with international standards.<br>
Further details and informal inquiries can be made by email to pavis@iit.it quoting PAVIS- BC 75046 as reference number.<br>
Please, send your application request to pavis@iit.it quoting PAVIS- BC 75046 in the subject line as reference number. Applications must include:<br>
a curriculum listing all publications (possibly including a pdf of your most representative ones)<br>
a research statement summarizing your research interests, previous research experience and accomplishments, and outlining its relevance to the above topics<br>
the names of 2 referees.<br>
<br>
This call will remain open and applications will be reviewed until the position is filled, but please apply by March 15, 2018.<br>
<br>
Istituto Italiano di Tecnologia (IIT) was established in 2003 and successfully created a large-scale infrastructure in Genova, a network of 10 state-of-the-art laboratories countrywide, recruited an international staff of about 1100 people from more than 50
countries. IIT's research endeavor focuses on high-tech and innovation, representing the forefront of technology with possible applications from medicine to industry, computer science, robotics, life sciences and nanobiotechnologies.<br>
<br>
In order to comply with Italian law (art. 23 of Privacy Law of the Italian Legislative Decree n. 196/03), the candidate is kindly asked to give his/her consent to allow IIT to process his/her personal data. We inform you that the information you provide will
be solely used for the purpose of assessing your professional profile to meet the requirements of Istituto Italiano di Tecnologia. Your data will be processed by Istituto Italiano di Tecnologia, with its headquarters in Genoa, Via Morego 30, acting as the
Data Holder, using computer and paper-based means, observing the rules on the protection of personal data, including those relating to the security of data. Please also note that, pursuant to art.7 of Legislative Decree 196/2003, you may exercise your rights
at any time as a party concerned by contacting the Data Manager.<br>
<br>
Istituto Italiano di Tecnologia is an Equal Opportunity Employer that actively seeks diversity in the workforce.</div>
<br>
<p></p>
</div>
</div>
</div>
</div>
</body>
</html>