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LAST REMINDER!</div>
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DEADLINE APPROACHING: JULY 9 @ NOON, ITALY time</div>
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Don't miss it!</div>
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PHD POSITIONS ON COMPUTATIONAL VISION AND MACHINE LEARNING AT IIT – AIGO, IN COLLABORATION WITH UNIVERSITY OF GENOA, ITALY</div>
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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>
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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 AIGO – AI for Good - https://aigo.iit.it, led by prof. Vittorio Murino.</div>
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RESEARCH TOPICS</div>
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AIGO Themes range from A to M:</div>
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Theme A: Multimodal scene understanding</div>
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Theme B: Continual generalized category discovery, incremental learning</div>
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Theme C: Multimodal Learning and Vision Language Model Adaptation for Temporal Medical Data Analysis</div>
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Theme D: Reinforcement Learning with Curriculum Strategies in Multimodal Healthcare Data</div>
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Theme E: Artificial Intelligence for Physical, Natural and Life Sciences</div>
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Theme F: Discovery and mitigate bias in deep neural networks</div>
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Theme G: Federated Learning by multimodal generative modeling Tema H: Biomedical imaging & Neuroimaging Tema I: Computer vision into the wild</div>
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Theme L: Few-Shot and Zero-Shot Deepfake Detection in the Era of Foundation Models</div>
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Theme M: Controlling Image Generation in Multimodal Models via Internal Representation</div>
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More detailed information on the specific themes and indication of supervisors, at</div>
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https://aigo.iit.it/documents/7137692/10960077/ResearchTopicsPhD2026_IIT-AIGO.pdf</div>
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AIGO is a recently born research unit focusing on activities related to the analysis and understanding of images, videos and patterns in general, also in collaboration with other research groups at IIT. </div>
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AIGO main focus is the learning with imperfect data, meaning in unsupervised, semi-supervised and self-supervised scenarios, noisy labeling, biased data and imbalanced classes.</div>
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AIGO staff has a wide expertise in computer vision and pattern recognition, machine and deep learning, image processing, and related applications, especially, but not limited to, of biomedical/biological nature. Multimodal and generative learning are other
keywords characterizing AIGO activities.</div>
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For more information, you can also browse prof. Murino webpage, to see his activities and research.</div>
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WHERE</div>
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The PhD program on the listed topics will take place at the research line of IIT located in Genova, Italy ([www.iit.it]www.iit.it)</div>
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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. </div>
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Excellent communication skills in English, as well as ability to interact effectively with members of the research teams, are mandatory.</div>
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HOW TO APPLY</div>
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Full information, official call and course description are available at </div>
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ITALIAN https://unige.it/dottorati-di-ricerca</div>
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ENGLISH https://unige.it/en/students/phd-programmes</div>
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Official call: https://unige.it/sites/unige.it/files/2026-06/Notice%20of%20competition%20DR%202458_5.06.2026.pdf</div>
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Course: SCIENCE AND TECHNOLOGY FOR ELECTRONIC AND TELECOMMUNICATION ENGINEERING</div>
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Curriculum: COMPUTATIONAL VISION, AUTOMATIC RECOGNITION AND LEARNING (CODE 11254)</div>
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Annex A: https://unige.it/sites/unige.it/files/2026-06/Annex%20A.pdf</div>
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The candidate can easily find the right curriculum to apply by searching the word "Murino" in the Annex A pdf document</div>
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Apply for the position:</div>
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https://unige.it/en/students/phd-programmes</div>
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(follow Step 3)</div>
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WHAT TO SUBMIT</div>
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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. </div>
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Notice that these documents are mandatory in order to consider valid the application.</div>
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Refer also to the indications stated in the course description document, above mentioned.</div>
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IMPORTANT: In order to apply, candidates must prepare the research proposal based on the research topics above mentioned. </div>
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Please, follow these indications to prepare it: https://pavisdata.iit.it/data/phd/ResearchProjectTemplate.pdf</div>
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For FURTHER INFORMATION on the research topics contact Vittorio Murino at vittorio.murino@iit.it</div>
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DEADLINE</div>
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Deadline for application is July 9, 2025 at 12 PM (noon, Italian time/CEST) </div>
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