Postdoctoral Researcher Position In Computer Vision Lazio

Postdoctoral Researcher Position In Computer Vision
Roma
Lazio, Lazio

Organisation / Company: University of Milan Department: Department of Historical Studies Research Field: Computer science » Informatics Researcher Profile: First Stage Researcher (R1), Recognised Researcher (R2), Established Researcher (R3), Leading Researcher (R4) Positions: Postdoc Positions Country: Italy Application Deadline: 19 Dec 2024 - 23:59 (Europe / Rome) Type of Contract: Temporary Job Status: Full-time Funding: Not funded by a EU programme Research Infrastructure Relation: No Offer Description: We are offering a 2-year Postdoctoral Researcher position in Computer Science based at the Department of Historical Studies, University of Milan.

The position is part of the research initiative, "Methodologies and Applications of Automatic Image Understanding in Cultural, Historical, and Artistic Heritage, " and focuses on applying deep learning techniques to the analysis of cultural, historical, and artistic heritage.

The research will involve developing advanced computational methods for automatic image understanding, enhancing the interpretability of machine learning models, and applying these methods to artworks, historical artifacts, and archaeological findings.

Applicants should hold, or be nearing completion of, a Ph. D. in Computer Science or a related discipline.

Application Submission: The official application must be submitted online.

Contact Information: For additional details regarding the position or application procedures, please contact ******, including "[POST DOC Position]" in the subject line.

Minimum Requirements: Ph. D. in Computer Science or a related field Proven track record in research and publication Experience in computational methods, especially in deep learning and computer vision Proficiency in Python and experience with deep learning model development for complex image recognition and interpretation tasks Excellent communication and collaboration skills #J-18808-Ljbffr