Postdoc Position on Semantically-enhanced E-Learning at the VU University Amsterdam

[Apologies for cross-posting] We have an open position for a postdoctoral
researcher at the Knowledge Representation and Reasoning (KRR) group [1],
VU University Amsterdam. The position is offered for 3 years collaborating
on SlideWiki [2] and RISIS [3] projects which aim at employing
state-of-the-art Semantic Web technologies in the domain of e-learning as
well as research and innovation studies. More information can be found at
http://www.vu.nl/en/employment/vacancies/2015/15323.asp Best, Ali Khalili,
PhD Department of Computer Science & The Network Institute, Knowledge
Representation & Reasoning Research Group, VU University Amsterdam
http://krr.cs.vu.nl/ _ _ _ _ ___ _ _ _ __ _ _ _ [1] http://krr.cs.vu.nl [2]
http://slidewiki.org SlideWiki H2020 project will develop the SlideWiki.org
platform to support large-scale pilots for collaborative OpenCourseWare
(OCW) authoring, multiplatform delivery and learning analytics. Similarly
to Wikipedia for encyclopaedic content, SlideWiki.org allows to
collaboratively create comprehensive OCW (curricula, slide presentations,
self-assessment tests, illustrations etc.) online in a crowdsourcing manner
and to support engagement and social networking of educators and learners
around that content. SlideWiki.org is already used by hundreds of
educators, thousands of learners. Several hundred comprehensive course
materials are available in SlideWiki in dozens of languages. [3]
http://risis.eu RISIS (Research Infrastructure for Research and Innovation
Policy Studies) F7 project will build a distributed infrastructure on data
relevant for research and innovation dynamics and policies. It does so
through three complementary channels: (a) Opening (and developing when
needed) datasets on lasting issues that are not covered by the statistical
data gathered under the auspices of OECD through the Frascati and Oslo
manuals; (b) Developing open platforms that help in building and treating
ad-hoc datasets on research and innovation issues; (c) Developing freely
accessible harmonised references that will facilitate interconnections and
integrations between heterogeneous existing datasets.