Job Description
The advertised position will be affiliated to the Information Visualization research unit (iVis) led by Professor Andreas Kerren. The research group mainly focuses on the explorative analysis and visualization of typically large and complex information spaces, for example in environmental research, transportation systems, social sciences, or artificial intelligence. Our vision is to attack the big data challenge by a combination of human-centered data analysis and interactive visualization for deriving meaning from the data and final decision making. Our research is highly relevant for academia and industry as both make increasing use of data-intensive technologies.
The project will be performed in the context of an interdisciplinary research project entitled “Visual Analytics for Enhancing Quality and Trust in Genome-wide Expression Clustering and Annotation”, where the Systems Biology group at the Royal Institute of Technology (KTH) and the Information Visualization group at Linköping University (LiU) work closely together. This position is part of a joint collaboration between WASP and the SciLifeLab and Wallenberg National Program for Data-Driven Life Science (DDLS).