Project FA14d: Cognitive research on uncertainty visualization

Project FA14d:  Cognitive research on uncertainty visualization
Researcher: Jennifer Smith Mason
Position type: GIS, Cartography, Visualization, User Study, Analysis, and/or Programming
Application deadline:  Friday, May 23, 2014
Application URL:   

Position description
This research aims to develop and evaluate different techniques of geospatial uncertainty visualization. I am seeking a research assistant with either GIS experience or a desire to do cognitive-based visualization field studies to work on different (or all) components of a larger uncertainty visualization research project. Candidates can choose which aspect of the research they would like to work on including:

  • Using basic spatial analysis to identify locations and subsequently creating multiple experimental stimuli/maps in ArcGIS of hurricane uncertainty (must be comfortable using ArcGIS)
  • Learn and assist in the setup of a survey to be deployed in Amazon Mechanical Turk (should be interested in human factors research and learning about the process of collecting behavioral data from a crowdsourcing platform)
  • Utilize, create, and/or learn programming or ArcGIS ModelBuilder to help automate a series of batch processes (of various spatial analyses and measurements) through ArcGIS for GPS data (must be very comfortable working within the ArcGIS software and willing to learn)

Desired Qualifications
Aside from the aforementioned skills listed after each aspect of research, applicants must be able to work independently with minimal guidance and supervision. There are hardly any instructions with each project, thus the research assistant must be able to think on his/her feet and find solutions creatively. Candidates must be willing to contribute 40–120 total hours of work toward the project over the semester, resulting in 1–3 credit hours applied to the transcript. There is no monetary stipend attached to this assistantship, although the experiences gained in this work will be immediately valuable when applying for graduate school or full-time employment.

To apply
Prospective candidates should submit application to by 5 p.m. on Friday, May 23, 2014.
A complete application must include:
1. All required fields of online form:

2. A one-page cover letter identifying the position for which you're applying and stating your interest in conducting research, your academic preparation, the skills you hope to gain from this experience, and contact information of two references.
    Upload a PDF document named as follows: FirstinitialLastname_letterMMYY.pdf (e.g. jvender_letter0414.pdf)
3. A resume
    Upload a PDF document named as follows: FirstinitialLastname_resumeMMYY.pdf (e.g. jvender_resume0414.pdf)