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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 PhD scholarships on Computational Vision, Automatic Recognition and Learning. </div>
<div>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>
<div>Theme A: Generative Multi-modal models for spatial perception and robotic behavior generation<br>
Theme B: Topological Deep Learning and Graph Neural Networks<br>
Theme C: Leveraging generative AI to learn in imperfect data regime<br>
Theme D: Learning with imperfect data: Transfer Learning, Unsupervised Domain Adaptation and Domain Generalization<br>
More detailed information on the specific themes and indication of supervisors, at
<a href="https://pavisdata.iit.it/data/phd/2024_2025_ResearchTopicsPhD_IIT-PAVIS.pdf" class="OWAAutoLink">
https://pavisdata.iit.it/data/phd/2024_2025_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/" target="_blank" rel="noopener noreferrer" class="x_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" target="_blank" rel="noopener noreferrer" class="x_OWAAutoLink" id="LPlnk946040" previewremoved="true">
</a><a href="https://unige.it/dottorati-di-ricerca" class="OWAAutoLink">https://unige.it/dottorati-di-ricerca</a>
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ENGLISH <a href="https://unige.it/en/students/phd-programmes" class="OWAAutoLink" id="LPlnk123791">
https://unige.it/en/students/phd-programmes</a> <br>
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Official call:<a href="https://unige.it/sites/unige.it/files/2024-06/Notice%20of%20competition.pdf" class="OWAAutoLink">https://unige.it/sites/unige.it/files/2024-06/Notice%20of%20competition.pdf</a>
<a href="https://unige.it/en/students/phd-programmes" class="OWAAutoLink" id="LPlnk123791">
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<div>Course: SCIENCE AND TECHNOLOGY FOR ELECTRONIC AND TELECOMMUNICATION ENGINEERING<br>
Curriculum: COMPUTATIONAL VISION, AUTOMATIC RECOGNITION AND LEARNING (CODE 10575)</div>
<div><a href="https://unige.it/sites/unige.it/files/2024-06/List%20of%20Phd%20programmes%20%28Annex%20A%29.pdf" class="OWAAutoLink">https://unige.it/sites/unige.it/files/2024-06/List%20of%20Phd%20programmes%20%28Annex%20A%29.pdf</a><br>
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<a href="https://unige.it/sites/contenuti.unige.it/files/documents/ALLEGATO_A_XXXVIII%20-%20EN_0.pdf" target="_blank" rel="noopener noreferrer" class="x_OWAAutoLink" id="LPlnk429897" previewremoved="true"></a><br>
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Apply for the position: <a href="https://unige.it/en/students/phd-programmes" class="OWAAutoLink">
https://unige.it/en/students/phd-programmes</a> follow step 3 <br>
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<div>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 in 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 July 9, 2024 at 12 PM (noon, Italian time/CEST) <br>
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