Computer Science
[Closed]
Work description
- Research methodologies for automatic detection and classification of regions of interest in visual data; - Collaborate in the preparation of suitable datasets; - Implement modules for processing the visual information; - Research the applicability of automatic anomaly detection techniques; - Collaborate in the pilot implementation; - To carry out a curricular unit of transversal competences; - Write at least one scientific paper; - Writing the grant activity report
Academic Qualifications
Master in Electric and Computer Engineering, Informatics, Computer Science, or similar.
Minimum profile required
- Programming experience (C/C++/Python)
Preference factors
Experience in image processing, computer vision or machine learning; Enrolled or interested in enrolling in a doctoral program
Application Period
Since 24 Oct 2024 to 07 Nov 2024
[Closed]
Centre
Telecommunications and Multimedia