With a university professorship in Visual Analytics, TIB addresses research into visual analysis, search and presentation methods. Within the professorship, a wide range of challenging research issues in visual analytics are pursued in the areas of digital libraries, research data as well as media archives and databases. In addition, TIB's extensive and heterogeneous data stock and users' needs generate application-related research topics.
We are looking for student assistants to support our research and teaching activities. If you are interested, please contact Prof. Ewerth.
We are currently offering PhD scholarships in the PhD network LernMINT (LearnSTEM)!
PhD positions in LernMINT:
- Semi-automatic classification of student drawings and texts in Science Education
- Data Analytics for informal learning in school settings
- Ontology-based modelling of learner profiles and curricula
If you are interested, please contact Prof. Ewerth.
Nomination for Best Full Paper Award at ICALT 2020
The paper "A Recommender System For Open Educational Videos Based On Skill Requirements" by Mohammadreza Tavakoli, Sherzod Hakimov, Ralph Ewerth, and Gabor Kismihok has been nominated for competing the Best Full Paper Award at the 20th IEEE International Conference on Advanced Learning Technologies (ICALT 2020).