The University of Arizona Data Science Institute (Data 7) invites
applications for a post-doctoral research position in the theory of
large scale graph visualization. The Institute's goal is to facilitate
next generation data-driven interdisciplinary research, by fostering
collaborations between domain scientists and experts in computer
science, mathematics and statistics.
The specific research projects involve the study of connections
between geometry, topology and combinatorics in the context of graphs
and graph theory, as well as developing graph analysis and
visualization algorithms with theoretical and practical guarantees.
Candidates should have a PhD in Computer Science or a related field
and an established research track record. Ideally, we seek a
postdoctoral researcher with a background in information
visualization, graph theory, as well as computational geometry and
topology.
The work will be carried out at the University of Arizona, in Tucson,
Arizona. The position is available starting September 1, 2017
initially for 1 year, with the possibility of extension for another 2
years dependent upon performance and availability of funds.
The University of Arizona has been recognized as one of America's Best
Employers (according to Forbes 2015) and has been awarded the
Work-Life Seal of Distinction by the Alliance for Work-Life Progress.
For more information about working at the University of Arizona,
please see http://whyua.arizona.edu/.
To apply, please, send CV to Stephen Kobourov,
kobourov@cs.arizona.edu; applications will be accepted on an ongoing
basis until the position is filled.
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