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<div class="PlainText">PHD POSITIONS ON COMPUTATIONAL VISION AT IIT – PAVIS <br>
<br>
The Italian Institute of Technology – IIT, <a href="http://www.iit.it" id="LPlnk132220">
http://www.iit.it</a> – in collaboration with University of Genoa, <a href="https://unige.it/en" id="LPlnk203448">
https://unige.it/en</a> – funds PhD scholarships on Computational Vision, Automatic Recognition and Learning. <br>
Research and training activities are jointly conducted between the DITEN Department of University of Genova
<a href="http://phd-stiet.diten.unige.it/" id="LPlnk266837">http://phd-stiet.diten.unige.it/</a> and IIT infrastructures in Genoa at PAVIS - Pattern Analysis and Computer Vision Research line
<a href="https://pavis.iit.it/">https://pavis.iit.it/</a> led by Alessio Del Bue.<br>
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RESEARCH TOPICS<br>
Theme M: Generative Vision-Language-Action models for spatial perception and robotic behavior generation <br>
Theme N: Topological Deep Learning and Graph Neural Networks <br>
More detailed information on the specific themes and indication of supervisors, at
<a href="https://pavisdata.iit.it/data/phd/ResearchTopicsPhD_2025_2026_IIT-AIGO_PAVIS.pdf">
https://pavisdata.iit.it/data/phd/ResearchTopicsPhD_2025_2026_IIT-AIGO_PAVIS.pdf</a><br>
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WHERE<br>
The PhD program on the listed topics will take place at the research line of IIT located in Genova, Italy (<a href="http://www.iit.it">http://www.iit.it</a>)<br>
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 teams, are mandatory.<br>
<br>
PAVIS – Themes M and N<br>
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).
<br>
For more information, you can also browse the PAVIS webpage <a href="http://pavis.iit.it/">
http://pavis.iit.it/</a> to see our activities and research. <br>
<br>
HOW TO APPLY <br>
Full information, official call and course description are available at <br>
ITALIAN <a href="https://unige.it/dottorati-di-ricerca">https://unige.it/dottorati-di-ricerca</a>
<br>
ENGLISH <a href="https://unige.it/en/students/phd-programmes">https://unige.it/en/students/phd-programmes</a></div>
<div class="PlainText"><font size="2"><span style="font-size:10pt">Apply for the position:
<a href="https://unige.it/en/students/phd-programmes">https://unige.it/en/students/phd-programmes</a> follow step 3
</span></font><br>
<br>
Official call: <a href="https://unige.it/sites/unige.it/files/2025-06/Notice%20of%20competition.pdf">
https://unige.it/sites/unige.it/files/2025-06/Notice%20of%20competition.pdf</a> <br>
Course: SCIENCE AND TECHNOLOGY FOR ELECTRONIC AND TELECOMMUNICATION ENGINEERING<br>
Curriculum: COMPUTATIONAL VISION, AUTOMATIC RECOGNITION AND LEARNING (CODE 11254)<br>
<a href="https://unige.it/sites/unige.it/files/2025-06/Annex%20A.pdf">https://unige.it/sites/unige.it/files/2025-06/Annex%20A.pdf</a><br>
<br>
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 <a href="https://pavisdata.iit.it/data/phd/ResearchProjectTemplate.pdf">
https://pavisdata.iit.it/data/phd/ResearchProjectTemplate.pdf</a><br>
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FURTHER INFORMATION on the research topics contact Dr. Del Bue at <a href="mailto:pavis@iit.it">
pavis@iit.it</a> <br>
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DEADLINE for application is July 9, 2025 at 12 PM (noon, Italian time/CEST) <br>
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