Connectionists: 4 PHD POSITIONS on Computational Vision at PAVIS - IIT Italy & University of Genoa, Italy [Jobs]

[Pavis]

4 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 4 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: 3D scene understanding with geometrical and deep learning reasoning
Theme B: Multi-modal learning
Theme C: Self-Supervised and Unsupervised Deep Learning
Theme D: Generative models for human and scene generation
Theme E: Novel Graph Operators for learning on large-scale and temporal data
Theme F: Domain adaptation and Generalization
More detailed information on the specific themes and indication of supervisors, at
https://pavisdata.iit.it/data/phd/2023_2024_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).
For more information, you can also browse the PAVIS webpage http://pavis.iit.it/ to see our activities and research.

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.

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

Official call: https://unige.it/sites/unige.it/files/2023-06/BANDO%2039%20CICLO%20-%20EN.pdf
Course description for XXXIX Phd Course in Science and Technology for Electronic and Telecommunication Engineering, curriculum in Computer Vision, Automatic Recognition and Learning (CODE 9954)
is at page 172-173 of the list of PhD programmes in ENGLISH: https://unige.it/sites/unige.it/files/2023-06/ANNEX_A_XXXIX%20-%20EN.pdf
and at page 166-167 of the ITALIAN https://unige.it/sites/unige.it/files/2023-06/DR_2723_bando%20dottorato%20XXXIX%20ciclo-11-216.pdf

Follow the steps listed:
1. Choose the programme
2. Review the application
3. Apply here https://servizionline.unige.it/studenti/post-laurea/dottorato/domanda
following the detailed instructions: https://unige.it/sites/contenuti.unige.it/files/documents/Guida_eng_XXXVIII.pdf

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 at pg. 172 (English version) or pg. 166 (Italian version) of 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 July 10th 2023 at 12 PM - Noon (CET)
STRICT DEADLINE, NO EXTENSION.
Apply before deadline, the application process is not immediate: don’t wait for the final day.





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