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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.
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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>
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Detailed description at: https://pavisdata.iit.it/data/phd/2023_ResearchTopicsPhD_IIT-PAVIS.pdf <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" 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: https://unige.it/sites/contenuti.unige.it/files/documents/BANDO%2038%20CICLO%20-%20EN.pdf
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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 9320) <br>
is on page 121 of the list of PhD programmes: https://unige.it/sites/contenuti.unige.it/files/documents/ALLEGATO_A_XXXVIII%20-%20EN.pdf <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. 121 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 has been extended to July 6, 2022 - H 12:00 PM 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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