2012-03-01: Job: Research Fellow (Data Visualization), University of Leeds, UK
The initial focus will be on graphs resulting from topological analysis over (time-varying) volumetric datasets, but the work may later consider graphs resulting from optimisation problems in multi-parameter spaces, thus generalising from time into the broader setting of higher-dimensional spaces.
The research will investigate
- the link between layout aesthetics and specific tasks over time-varying data;
- layout techniques for ensuring or optimising against these aesthetics - this will include embedding of the graph into higher-dimensional manifolds;
- techniques for eliding structural detail, and linking visual abstractions to other models of the data;
- efficient implementation of layout algorithms within established visualization toolkits (e.g. VTK), including where appropriate parallelisation on cluster-based hardware and/or many-core GPU architecture;
- evaluation of time-varying visualization in terms of perceptual / cognitive utility and the ability of the visualization to distil insight into the underlying phenomena.
For further details, and how to apply, please see:
by David Duke via Vismaster_community