PhD candidate in Experimental Physics

3/30585
label Burse autorenew 2025-09-29, 17:01 history_edu Diana Ignat
The Faculty of Science occupies a leading position internationally in its fields of research and participates in a large number of cooperative programs with universities, research institutes and businesses. The faculty has a student body of around 3,000 and 1,500 members of staff, spread over eight research institutes and a number of faculty-wide support services.

A considerable part of the research is made possible by external funding from Dutch and international organizations and the private sector. The Faculty of Science offers thirteen Bachelor's degree programs and eighteen Master’s degree programs in the fields of the exact sciences, computer science and information studies, and life and earth sciences.

Since September 2010, the whole faculty has been housed in a brand new building at the Science Park in Amsterdam. The instalment of the faculty has made the Science Park one of the largest centers of academic research in the Netherlands.



The Informatics Institute(IvI) is one of the large research institutes with the faculty, with a focus on complex information systems divided in two broad themes: 'Computational Systems' and 'Intelligent Systems.' The institute has a prominent international standing and is active in a dynamic scientific area, with a strong innovative character and an extensive portfolio of externally funded projects.

Project description

The topic of the PhD is to recognize objects in a visual data stream. In such a stream the object classes of interest shift over time. Hence, the traditional approach to learn classifiers for a predefined set of objects is unsuited. A promising approach in classifying unseen objects into a novel category is to learn a semantic attribute image representation. The aim for this PhD is to develop new algorithms to learn such a high-level semantic representation from weakly annotated images and to learn the mapping to an unknown class from freely available (textual) sources. Another project aim is to model the visual data stream to understand which images or novel concepts could become a visual trend.