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<b><span style="font-family:"Calibri",sans-serif; color:black">6 PhD Positions</span></b>

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<p class="MsoNormal" style="text-align:justify"><b><span style="font-family:"Calibri",sans-serif; color:black">I</span></b><b><span style="font-family:"Calibri",sans-serif">IT</span></b><span style="font-family:"Calibri",sans-serif"> has established a collaboration

 with <b style="">Università degli studi di Genova</b> and funds 6 PhD scholarships on Computer Vision and Machine Learning<span style="color:black">:

<a href="https://www.iit.it/careers/openings/opening/1216-6-phd-positions-in-computational-vision-automatic-recognition-and-learning-at-iit-in-collaboration-with-universit-di-genova">

link</a></span></span><span style="font-family:"Calibri",sans-serif"></span></p>

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<span style="font-family:"Calibri",sans-serif">Research and training activities are jointly conducted between the DITEN Department of University and IIT infrastructures in Genoa, at the

<b style="">PAVIS - Pattern Analysis and Computer Vision Research line</b>, led by its

<b style="">Principal Investigator, Alessio Del Bue.</b></span></p>

<p class="MsoNormal" style="text-align:justify"><b style=""><span style="font-family:"Calibri",sans-serif">RESEARCH TOPICS:</span></b><span style="font-family:"Calibri",sans-serif; color:black"></span></p>

<p class="MsoNormal" style="text-align:justify"><span style="font-family:"Calibri",sans-serif; color:black">Theme A - 3D scene understanding with geometrical and deep learning reasoning

</span></p>

<p class="MsoNormal" style="text-align:justify"><span style="font-family:"Calibri",sans-serif; color:black">Theme B - Artificial Intelligence for Human Behavior Analysis

</span></p>

<p class="MsoNormal" style="text-align:justify"><span style="font-family:"Calibri",sans-serif; color:black">Theme C - People and Object Re-identification in the wild</span></p>

<p class="MsoNormal" style="text-align:justify"><span style="font-family:"Calibri",sans-serif; color:black">Theme D - Deep Learning for Multi-modal scene understanding

</span></p>

<p class="MsoNormal" style="text-align:justify"><span style="font-family:"Calibri",sans-serif; color:black">Theme E</span><span style="font-family:"Calibri",sans-serif; color:black"> </span><span style="font-family:"Calibri",sans-serif; color:black">- Weakly

 Supervised and Unsupervised Deep Learning </span></p>

<p class="MsoNormal" style="text-align:justify"><span style="font-family:"Calibri",sans-serif; color:black">Theme</span><span style="font-family:"Calibri",sans-serif; color:black"> F</span><span style="font-family:"Calibri",sans-serif; color:black"> -

</span><span style="font-family:"Calibri",sans-serif; color:black">Visual Reasoning with Knowledge and Graph Neural Networks for scene understanding

</span><span style="font-family:"Calibri",sans-serif; color:black"> </span></p>

<p class="MsoNormal" style="text-align:justify"><span style="font-family:"Calibri",sans-serif; color:black">Theme</span><span style="font-family:"Calibri",sans-serif; color:black"> G</span><span style="font-family:"Calibri",sans-serif; color:black"> -

</span><span style="font-family:"Calibri",sans-serif; color:black">Distributed AI in sensor networks and robotic platforms

</span><span style="font-family:"Calibri",sans-serif; color:black"></span></p>

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<p class="MsoNormal" style="text-align:justify"><b><span style="font-family:"Calibri",sans-serif; color:black">Detailed description at:

</span></b><a href="https://pavisdata.iit.it/data/phd/ResearchTopics2021_IIT-PAVIS" target="_blank" title="https://pavisdata.iit.it/data/phd/researchtopics2021_iit-pavis"><b><span style="font-size:10.5pt; font-family:"Calibri",sans-serif">https://pavisdata.iit.it/data/phd/ResearchTopics2021_IIT-PAVIS</span></b></a><span class="MsoHyperlink"><b><span style="font-size:10.5pt; font-family:"Calibri",sans-serif"></span></b></span></p>

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<p class="MsoNormal" style="text-align:justify"><b><span style="font-family:"Calibri",sans-serif">PAVIS</span></b></p>

<p class="MsoNormal" style="text-align:justify"><span style="font-family:"Calibri",sans-serif; color:black">The PhD program on the listed topics will take place at the PAVIS research line of Istituto Italiano di Tecnologia (IIT) located in Genova (</span><a href="http://www.iit.it"><span style="font-family:"Calibri",sans-serif">www.iit.it</span></a><span style="font-family:"Calibri",sans-serif; color:black">).</span></p>

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<p class="MsoNormal" style="text-align:justify"><span style="font-family:"Calibri",sans-serif; color:black">The department focuses on activities related to the analysis and understanding of images, videos and patterns in general, even multidisciplinary, in

 collaboration with other research groups in IIT. PAVIS staff has a wide expertise in computer vision and pattern recognition, machine learning, image processing, and related applications (related to assistive and monitoring AI systems).</span></p>

<p class="MsoNormal" style="text-align:justify"><span style="font-family:"Calibri",sans-serif; color:black">For more information, you can also browse the PAVIS webpage

</span><a href="http://pavis.iit.it/"><span style="font-family:"Calibri",sans-serif">http://pavis.iit.it/</span></a><span style="font-family:"Calibri",sans-serif; color:black"> to see our activities and research.</span></p>

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<span style="font-family:"Calibri",sans-serif">Successful candidates will be part of an exciting and international working environment and will work in brand new laboratories equipped with state-of-the-art instrumentation. Excellent communication skills in

 English, as well as ability to interact effectively with members of the research team, are mandatory.</span><span style="font-family:"Calibri",sans-serif; color:black"></span></p>

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<p class="MsoNormal" style="text-align:justify"><b><span style="font-family:"Calibri",sans-serif; color:black">HOW TO APPLY</span></b></p>

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<span style="font-family:"Calibri",sans-serif">In order to apply for the <b>XXXVI</b>

<b style="">Phd Course in <span style="color:black">Science and Technologies for Electronics and Telecommunication Engineering, curriculum in Computer Vision, Pattern Recognition and Machine Learning</span></b><span style="color:black">

(CODE 8259) it is mandatory to refer to the procedures administered by Università degli studi di Genova.

</span></p>

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<span style="font-family:"Calibri",sans-serif">The official call (<i>bando di concorso</i>) is available at this link:

</span><a href="https://unige.it/usg/it/dottorati-di-ricerca"><b><span style="font-family:"Calibri",sans-serif">https://unige.it/usg/it/dottorati-di-ricerca</span></b></a><span class="MsoHyperlink"><b><span style="font-family:"Calibri",sans-serif; color:windowtext; text-decoration:none">,

</span></b></span><span style="font-family:"Calibri",sans-serif; color:black">where the call and the annex A (<i>allegato A</i>) will shortly be published in English.</span><span style="font-family:"Calibri",sans-serif">

</span></p>

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<span style="font-size:11.0pt; font-family:"Calibri",sans-serif"> </span></p>

<p class="MsoNormal" style="text-align:justify"><b><span style="font-family:"Calibri",sans-serif; color:black">APPLICATIONS</span></b><span style="font-family:"Calibri",sans-serif; color:black"> are already possible through University of Genoa ONLINE PROCEDURE

 ONLY:</span></p>

<p class="MsoNormal" style="text-align:justify"><span style="font-family:"Calibri",sans-serif; color:black"><a href="http://servizionline.unige.it/studenti/post-laurea/dottorato">http://servizionline.unige.it/studenti/post-laurea/dottorato</a>

</span></p>

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<p class="MsoNormal" style="text-align:justify"><b><span style="font-family:"Calibri",sans-serif; color:black">WHAT TO SUBMIT:</span></b></p>

<p class="MsoNormal" style="text-align:justify"><span style="font-family:"Calibri",sans-serif; color:black">A detailed CV, a research proposal under one or more topics chosen among those above indicated, reference letters, and any other formal document concerning

 the degrees earned. </span></p>

<p class="MsoNormal" style="text-align:justify"><span style="font-family:"Calibri",sans-serif; color:black">Notice that these documents are mandatory in order to consider valid the application.</span></p>

<p class="MsoNormal" style="text-align:justify"><span style="font-family:"Calibri",sans-serif; color:black">Refer also to the indications stated in the annex A above mentioned.</span></p>

<p class="MsoNormal" style="text-align:justify"><b><span style="font-family:"Calibri",sans-serif">IMPORTANT: In order to apply, candidates must prepare the research proposal based on the research topics above mentioned</span></b><span style="font-family:"Calibri",sans-serif">. </span></p>

<p class="MsoNormal"><span style="font-family:"Calibri",sans-serif; color:black">Please, follow these indications to prepare it:

</span><a href="https://pavisdata.iit.it/data/phd/ResearchProjectTemplate.pdf"><span style="font-family:"Calibri",sans-serif">https://pavisdata.iit.it/data/phd/ResearchProjectTemplate.pdf</span></a><span class="MsoHyperlink"><span style="font-family:"Calibri",sans-serif"></span></span></p>

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<p class="MsoNormal" style="text-align:justify"><b><span style="font-family:"Calibri",sans-serif; color:black">For FURTHER INFORMATION</span></b><span style="font-family:"Calibri",sans-serif; color:black"> on the research topics contact Dr. Del Bue at

</span><a href="mailto:pavis@iit.it"><b><span style="font-family:"Calibri",sans-serif">pavis@iit.it</span></b></a><span style="font-family:"Calibri",sans-serif; color:black">

</span></p>

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<p class="MsoNormal" style="text-align:justify"><b><span style="font-family:"Calibri",sans-serif; color:black">DEADLINE</span></b></p>

<p class="MsoNormal" style="text-align:justify"><b><span style="font-family:"Calibri",sans-serif; color:black">ONLINE APPLICATION DEADLINE

</span></b><b><span style="font-family:"Calibri",sans-serif">is JUNE 15, 2020 at 12:00 p.m. (noon, Italian time/CEST) – STRICT DEADLINE, NO EXTENSION.</span></b></p>

<p class="MsoNormal" style="text-align:justify"><b><span style="font-size:10.5pt; font-family:"Helvetica",sans-serif; color:#333333; background:white">Apply before deadline, the application process is not immediate: don’t wait for the final day</span>.</b><b><span style="font-family:"Calibri",sans-serif; color:red"></span></b></p>

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