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PhD Scholarship in Analytical Models for Learning Processes in FLOSS Communities, China

The United Nations University – International Institute for Software Technology (UNU-IIST), located in Macau, is accepting applications for one scholarship as PhD candidate to carry out research as part of a project on Peer-Production Approaches to e-Learning within a collaboration between UNU-IIST, the University of Macau and the University of Pisa, Italy. The PhD candidate will be directly involved in the analysis of collaborative networks and Free/Libre Open Source Software (FLOSS) projects, with a special focus on the identification and description of learning processes, development of e-learning models based on the peer-production paradigm, definition of pedagogical metrics for such models and continuous monitoring of their implementation as well as benchmarking towards the outcomes of the preliminary data analysis.

Candidates for the position should have -a Master degree in computer science, software engineering, or information and communication technology, or in a similar discipline; background and experience in information retrieval, data mining and text mining techniques, machine learning techniques and ontology engineering; -strong programming ability; -good English writing ability; -ability to work both independently and in a team.