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

[Pavis Iit]

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/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
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

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
pa...@iit.it

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