Working with us

Our approach to visual analytics research requires integrating the cognitive science of human perception, reasoning, communication, problem solving etc. with the design and evaluation of interactive visualization for complex datasets, often with uncertain data in tasks that may require addressing ill-defined "wicked problems". An equally important new direction uses social sciences methods to understand problem-solving within an organization or collaborating organizations and to examine the impact of technology in situ with real users, tasks, and organizational structures.

We are looking for undergraduate and graduate students with expertise in: 

Perceptual, cognitive and social science theory and methods (e.g. experimental psychology, cognitive discourse analysis, grounded theory)

Analysis and modeling (e.g. Python, R,  machine learning, Bayes, Fuzzy-logic)

Visualization and interface design and implementation (e.g Prefuse, VTK, WEAVE, D3, Obvious)

If you feel that your background and interests match, please contact us!

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