[ES_JOBS_NET] Data Visualization Researcher in Boulder CO
Andrea Schumacher - NOAA Affiliate
andrea.schumacher at noaa.gov
Fri Jan 7 11:54:06 MST 2022
*Job opening: Data Visualization Researcher (**Research Associate II,
Full-time)*
*Organization: Cooperative Institute for Research in the Atmosphere (CIRA)
at Colorado State University*
J*ob location: NOAA Global Systems Lab in Boulder, CO*
*Position Overview: *
The individual in this position will join the research team of the NSF AI
Institute for Research on Trustworthy AI in Weather, Climate, and Coastal
Oceanography (https://www.ai2es.org/) to design, develop, and code
visualizations and web-based interactive user interfaces of AI weather,
climate, and coastal information in order to support the development of
meaningful and trustworthy AI tools for forecasters. The individual will
closely collaborate with the interdisciplinary AI2ES team, including risk
communication scientists, atmospheric scientists, and AI scientists at
CIRA, NOAA GSL, NCAR, and the University of Oklahoma to develop AI
visualizations in conjunction with the team’s user-oriented research about
forecasters’ attitudes, interpretations, perceptions, and uses of AI. The
proposed work is likely to include visualizing uncertainty and confidence,
evaluating the temporal consistency of AI predictions, and facilitating
interactivity of and interactions with AI output as an approach to
explaining AI, to enhance the existing AI2ES efforts along these lines.
*Required Qualifications: *
● Master’s Degree in information science, data science, visualization
science, computer science, social or behavioral science, atmospheric
sciences, or other discipline with expertise in human-centered design and
engineering, user experience/user interface, visual analytics, or
geospatial visualizations, completed by the time position begins;
● Programming experience, including experience building web-based
visualizations or graphics and web-based interactive interfaces (to be
documented in the cover letter);
● Expertise in HTML, CSS, and Javascript
● Experience or interest in the interactions between weather/climate
information and society and/or the interactions between AI/machine learning
and society;
● Ability to pass a National Agency Check with Inquiries (NACI, federal
background check) for building access.
* Preferred Qualifications: *
● Experience with 2D/3D visualization libraries, toolkits, and environments
used for displaying geospatial scientific data on web browsers, such as
d3.js, plotly, leaflet, or ESRI ArcGIS Javascript API.
● Experience in scientific programming with a high level language (e.g,.
Python, R, MATLAB, Javascript) and ability to learn other additional
programming languages as needed;
● Basic understanding of statistical or machine learning methods,
demonstrated through course work or projects;
● Experience with social science qualitative data analysis, experimental
design, survey methodology, and/or statistical analysis;
● Basic knowledge or interest in atmospheric science;
● Basic knowledge of the operational weather forecasting environment (e.g.,
forecast tools, processes, actors) ;
● Experience with large atmospheric, climate, or physical science data
sets;
● Appreciation of research designs for working with human subjects;
● Ability to communicate well, particularly across disciplinary boundaries;
● Demonstrated ability to work independently and as part of an
interdisciplinary research team;
● Experience with processing web data file formats, such as JSON.
***To ensure full consideration, applications must be received by 11:59pm
(MT) on 02/07/2022***
To view the full position announcement and learn how to apply, please go to:
https://www.cira.colostate.edu/employment/22-104-research-associate-ii-data-visualization-researcher/
--
Andrea Schumacher
Research Associate
Cooperative Institute for Research in the Atmosphere (CIRA)
Colorado State University, Fort Collins, CO
970-491-8057
*While I may be sending this email outside my normal office hours, *
*I have no expectation to receive a reply outside yours.*
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