[Infovis] Postdoc Position - Human-Centered Visualization / Visual Analytics, Purdue University

[Parsons, Paul]

The Department of Computer Graphics Technology at Purdue University in West Lafayette, Indiana invites applications for a postdoc position in the areas of human-centered visualization and visual analytics. Outstanding candidates with strong research and publication records are encouraged to apply. Women and members of underrepresented groups with expertise in the research area are encouraged to apply. The successful candidate will receive support for two years at rates consistent with the Fair Labor Standards Act (FLSA). More information can be found below.

Title: Design of Visual Analytics Tools for Dynamic Decision-Making under Uncertainty

Keywords: Visual analytics; information visualization; cognition; decision-making; uncertainty; human-centered design; interaction design

Duration: 2 Years

Responsibilities: The candidate will be responsible for engaging in conceptual and theoretical research, generating novel ideas, and implementing them in visual analytics tools. Candidates should be creative and rigorous thinkers, and should be proficient in conducting interdisciplinary research. The candidate will assist the PIs in designing, coordinating, and executing mixed methods user studies. In addition to working closely with the PIs, other collaborators, and graduate students, the candidate is expected to actively participate in writing academic publications and grant proposals.

Requirements: The candidate should have or expects to soon have a Ph.D. in computer science/engineering, human-computer interaction, informatics, or other related disciplines. The candidate should have a strong publication history in or across the following areas: information visualization, visual analytics, information science, human-computer interaction, cognitive science, and data analytics. The candidate should have good technical skills including a strong programming background, experience with different programming tools and languages, and the ability to work in a collaborative environment.

Preferences: Ideally, the candidate should have experience with information visualization and visual analytics concepts, models, and techniques. Experience in cognitive science, human-computer interaction, and mixed methods research will be an asset. Experience with visualization programming is ideal, especially web-based programming (e.g., JavaScript, PHP, d3.js, angular.js, node.js). Experience with big data tools is also an asset.

Application materials: Cover letter, C.V., contact information for 3 references, research statement (1-2 pages), and a list of relevant publications. Please submit all application materials as a single PDF file.

Purdue University is an EEO/AA employer fully committed to achieving a diverse workforce. All individuals, including minorities, women, individuals with disabilities, and protected veterans are encouraged to apply.

Please send application materials to both Paul Parsons (parsonsp at purdue.edu<mailto:parsonsp at purdue.edu>) and Vetria Byrd (vbyrd at purdue.edu<mailto:vbyrd at purdue.edu>). Review of applications will begin immediately. For full consideration, all application materials must be received by March 15, 2016.



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Paul Parsons, Ph.D.
Assistant Professor
Computer Graphics Technology  |  Purdue University
parsonsp at purdue.edu  |  Knoy 341  |  765.494.0511
web.ics.purdue.edu/~parsonsp