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2 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 2 PhD scholarships on Computational Vision, Automatic Recognition and Learning. </div>
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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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RESEARCH TOPICS: <br>
Theme A: 3D scene understanding with geometrical and deep learning reasoning <br>
Theme B: Deep Learning for Multi-modal scene understanding <br>
Theme C: Self-Supervised and Unsupervised Deep Learning <br>
Theme D: Visual Reasoning with Knowledge and Graph Neural Networks <br>
Detailed description at: <a href="https://pavisdata.iit.it/data/phd/2023_ResearchTopicsPhD_IIT-PAVIS.pdf" class="OWAAutoLink" id="LPlnk877021" previewremoved="true">
https://pavisdata.iit.it/data/phd/2023_ResearchTopicsPhD_IIT-PAVIS.pdf</a> <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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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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<span>For more information, you can also browse the PAVIS webpage <a href="http://pavis.iit.it/" class="OWAAutoLink" id="LPlnk410489" previewremoved="true">
http://pavis.iit.it/</a> to see our activities and research. <br>
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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" previewremoved="true">
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" previewremoved="true">
https://unige.it/en/usg/en/phd-programmes</a> <br>
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Official call: <a href="https://unige.it/sites/contenuti.unige.it/files/documents/BANDO%2038%20CICLO%20novembre%20-%20EN.pdf" class="OWAAutoLink" id="LPlnk592912" previewremoved="true">https://unige.it/sites/contenuti.unige.it/files/documents/BANDO%2038%20CICLO%20novembre%20-%20EN.pdf</a>
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Course description for XXXVIII Phd Course in Science and Technology for Electronic and Telecommunication Engineering, curriculum in Computer Vision, Automatic Recognition and Learning (CODE 9540) is on page 59 of the list of PhD programmes:
<a href="https://unige.it/sites/contenuti.unige.it/files/documents/ALLEGATO_A_XXXVIII%20-%20EN_0.pdf" class="OWAAutoLink" id="LPlnk429897" previewremoved="true">
https://unige.it/sites/contenuti.unige.it/files/documents/ALLEGATO_A_XXXVIII%20-%20EN_0.pdf</a><br>
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Follow the steps listed: <br>
1. Choose the programme <br>
2. Review the application <br>
3. Apply here https://servizionline.unige.it/studenti/post-laurea/dottorato/domanda
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following the detailed instructions: https://unige.it/sites/contenuti.unige.it/files/documents/Guida_eng_XXXVIII.pdf <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. 59 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 https://pavisdata.iit.it/data/phd/ResearchProjectTemplate.pdf
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For FURTHER INFORMATION on the research topics contact Dr. Del Bue at pavis@iit.it <br>
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DEADLINE <br>
Deadline for application is December 6, 2022 at 12 PM (noon, Italian time/CEST) <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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