Connectionists: PHD POSITIONS on Computational Vision at PAVIS - IIT Italy & University of Genoa, Italy [Jobs]

[Pavis]

PHD POSITIONS ON COMPUTATIONAL VISION AT IIT – PAVIS IN COLLABORATION WITH UNIVERSITY OF GENOA, ITALY

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.
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,
at the PAVIS - Pattern Analysis and Computer Vision Research line https://pavis.iit.it/ led by its Principal Investigator, Alessio Del Bue.
 
RESEARCH TOPICS:
Theme A: Generative Multi-modal models for spatial perception and robotic behavior generation
Theme B: Topological Deep Learning and Graph Neural Networks
Theme C: Leveraging generative AI to learn in imperfect data regime
Theme D: Learning with imperfect data: Transfer Learning, Unsupervised Domain Adaptation and Domain Generalization
More detailed information on the specific themes and indication of supervisors, at https://pavisdata.iit.it/data/phd/2024_2025_ResearchTopicsPhD_IIT-PAVIS.pdf

PAVIS
The PhD program on the listed topics will take place at the PAVIS research line of IIT located in Genova (www.iit.it).
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.
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).
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.
Excellent communication skills in English, as well as ability to interact effectively with members of the research team, are mandatory.
For more information, you can also browse the PAVIS webpage http://pavis.iit.it/ to see our activities and research.

HOW TO APPLY
Full information, official call and course description are available at 
ITALIAN <https://unige.it/usg/it/dottorati-di-ricerca> https://unige.it/dottorati-di-ricerca
ENGLISH https://unige.it/en/students/phd-programmes

Official call:https://unige.it/sites/unige.it/files/2024-06/Notice%20of%20competition.pdf <https://unige.it/en/students/phd-programmes>
Course: SCIENCE AND TECHNOLOGY FOR ELECTRONIC AND TELECOMMUNICATION ENGINEERING
Curriculum: COMPUTATIONAL VISION, AUTOMATIC RECOGNITION AND LEARNING (CODE 10575)
https://unige.it/sites/unige.it/files/2024-06/List%20of%20Phd%20programmes%20%28Annex%20A%29.pdf
<https://unige.it/sites/contenuti.unige.it/files/documents/ALLEGATO_A_XXXVIII%20-%20EN_0.pdf>
Apply for the position: https://unige.it/en/students/phd-programmes follow step 3

WHAT TO SUBMIT
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.
Notice that these documents are mandatory in order to consider valid the application.
Refer also to the indications stated in the course description document, above mentioned.

IMPORTANT: In order to apply, candidates must prepare the research proposal based on the research topics above mentioned.
Please, follow these indications to prepare it https://pavisdata.iit.it/data/phd/ResearchProjectTemplate.pdf
For FURTHER INFORMATION on the research topics contact Dr. Del Bue at pavis at iit.it

DEADLINE
Deadline for application is July 9, 2024 at 12 PM (noon, Italian time/CEST)



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