Postdoctoral researcher position in computer vision

1 settimana fa


Italia euraxess.ec.europa.eu - Jobboard A tempo pieno

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

Is the job funded through the EU Research Framework Programme? Not funded by a EU programme

Is the Job related to staff position within a Research Infrastructure? 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.

The official application must be submitted online.

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
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