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4 PHD POSITIONS ON COMPUTATIONAL VISION AT IIT – PAVIS IN COLLABORATION WITH UNIVERSITY OF GENOA, ITALY
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The Italian Institute of Technology – IIT, www.iit.it – in collaboration with University of Genoa –https://unige.it/en – funds 4 PhD scholarships on Computational Vision, Automatic Recognition and Learning.
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Research and training activities are jointly conducted between the DITEN Department of University of Genova http://phd-stiet.diten.unige.it/ and IIT infrastructures in Genoa,
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at the PAVIS - Pattern Analysis and Computer Vision Research line https://pavis.iit.it/ led by its Principal Investigator, Alessio Del Bue.
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<span style="font-size:11pt">RESEARCH TOPICS: </span><br>
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<div><span class="markedContent" id="page176R_mcid44"><span dir="ltr" style="">Theme A: 3D scene understanding with geometrical and deep learning reasoning</span></span><span class="markedContent" id="page176R_mcid45"><br>
<span dir="ltr" style="">Theme</span><span dir="ltr" style=""> </span><span dir="ltr" style="">B: Multi</span><span dir="ltr" style="">-</span><span dir="ltr" style="">modal learning</span></span><span class="markedContent" id="page176R_mcid46"><br>
<span dir="ltr" style="">Theme C: Self</span><span dir="ltr" style="">-</span><span dir="ltr" style="">Supervised and Unsupervised Deep Learning</span></span><span class="markedContent" id="page176R_mcid47"><br>
<span dir="ltr" style="">Theme D: Generative models for human and scene generation</span></span><span class="markedContent" id="page176R_mcid48"><br>
<span dir="ltr" style="">Theme E: Novel Graph Operators for learning on large</span><span dir="ltr" style="">-</span><span dir="ltr" style="">scale and temporal data</span></span><span class="markedContent" id="page176R_mcid49"><br>
<span dir="ltr" style="">Theme F: Domain adaptation and</span><span dir="ltr" style="">
</span><span dir="ltr" style="">Generalization</span></span><span class="markedContent" id="page176R_mcid50"></span><span class="markedContent" id="page176R_mcid51"><br>
<span dir="ltr" style="">More</span><span dir="ltr" style=""> </span><span dir="ltr" style="">detailed</span><span dir="ltr" style="">
</span><span dir="ltr" style="">information</span><span dir="ltr" style=""> </span>
<span dir="ltr" style="">on</span><span dir="ltr" style=""> </span><span dir="ltr" style="">the</span><span dir="ltr" style="">
</span><span dir="ltr" style="">specific</span><span dir="ltr" style=""> </span><span dir="ltr" style="">themes</span><span dir="ltr" style="">
</span><span dir="ltr" style="">and</span><span dir="ltr" style=""> </span><span dir="ltr" style="">indication</span><span dir="ltr" style="">
</span><span dir="ltr" style="">of</span><span dir="ltr" style=""> </span><span dir="ltr" style="">supervisors,</span><span dir="ltr" style="">
</span><span dir="ltr" style="">at</span></span><span class="markedContent" id="page176R_mcid52"><br>
<span dir="ltr" style="">https://pavisdata.iit.it/data/phd/2023_2024_ResearchTopicsPhD_IIT</span><span dir="ltr" style="">-</span><span dir="ltr" style="">PAVIS.pdf</span></span><br>
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PAVIS <br>
The PhD program on the listed topics will take place at the PAVIS research line of IIT located in Genova (www.iit.it).
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The department focuses on activities related to the analysis and understanding of images, videos and patterns in general, also in collaboration with other research groups at IIT. <br>
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).
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For more information, you can also browse the PAVIS webpage http://pavis.iit.it/ to see our activities and research.
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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. <br>
Excellent communication skills in English, as well as ability to interact effectively with members of the research team, are mandatory.
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HOW TO APPLY <br>
Full information, official call and course description are available at <br>
ITALIAN <a href="https://unige.it/usg/it/dottorati-di-ricerca" class="OWAAutoLink" id="LPlnk946040">
https://unige.it/usg/it/dottorati-di-ricerca</a> <br>
ENGLISH <a href="https://unige.it/en/usg/en/phd-programmes" class="OWAAutoLink" id="LPlnk495164">
https://unige.it/en/usg/en/phd-programmes</a> <br>
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Official call: <a href="https://unige.it/sites/unige.it/files/2023-06/BANDO%2039%20CICLO%20-%20EN.pdf" class="OWAAutoLink">
https://unige.it/sites/unige.it/files/2023-06/BANDO%2039%20CICLO%20-%20EN.pdf</a><br>
Course description for XXXIX Phd Course in Science and Technology for Electronic and Telecommunication Engineering, curriculum in Computer Vision, Automatic Recognition and Learning (CODE 9954)
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is at page 172-173 of the list of PhD programmes in ENGLISH: <a href="https://unige.it/sites/unige.it/files/2023-06/ANNEX_A_XXXIX%20-%20EN.pdf" class="OWAAutoLink">https://unige.it/sites/unige.it/files/2023-06/ANNEX_A_XXXIX%20-%20EN.pdf</a></div>
<div>and at page 166-167 of the ITALIAN <a href="https://unige.it/sites/unige.it/files/2023-06/DR_2723_bando%20dottorato%20XXXIX%20ciclo-11-216.pdf" class="OWAAutoLink">https://unige.it/sites/unige.it/files/2023-06/DR_2723_bando%20dottorato%20XXXIX%20ciclo-11-216.pdf</a></div>
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Follow the steps listed: <br>
1. Choose the programme <br>
2. Review the application <br>
3. Apply here <a href="https://servizionline.unige.it/studenti/post-laurea/dottorato/domanda" class="OWAAutoLink" id="LPlnk189761">
https://servizionline.unige.it/studenti/post-laurea/dottorato/domanda</a><br>
following the detailed instructions: <a href="https://unige.it/sites/contenuti.unige.it/files/documents/Guida_eng_XXXVIII.pdf" class="OWAAutoLink">
https://unige.it/sites/contenuti.unige.it/files/documents/Guida_eng_XXXVIII.pdf</a><br>
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WHAT TO SUBMIT <br>
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. <br>
Notice that these documents are mandatory in order to consider valid the application.
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Refer also to the indications stated at pg. 172 (English version) or pg. 166 (Italian version) of the course description document, above mentioned.
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IMPORTANT: In order to apply, candidates must prepare the research proposal based on the research topics above mentioned. <br>
Please, follow these indications to prepare it: <a href="https://pavisdata.iit.it/data/phd/ResearchProjectTemplate.pdf" class="OWAAutoLink">
https://pavisdata.iit.it/data/phd/ResearchProjectTemplate.pdf</a><br>
For FURTHER INFORMATION on the research topics contact Dr. Del Bue at pavis@iit.it <br>
<br>
DEADLINE <br>
Deadline for application <span>July 10th 2023 at 12 PM - Noon (CET)</span><br>
STRICT DEADLINE, NO EXTENSION. <br>
Apply before deadline, the application process is not immediate: don’t wait for the final day.
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