[Ieee_vis_open_positions] Postdoctoral Fellow in Energy Data Visualization and Curation
cwolfram at berkeley.edu
Mon Dec 18 00:06:33 CET 2017
I'm reposting this job description as the deadline is coming up (12/29).
Please let us know if you have questions.
Cora Jane Flood Professor
Faculty Director, Energy Institute at Haas
Haas School of Business
Berkeley, CA 94720-1900
Phone: 510-642-2588 <(510)%20642-2588>
---------- Forwarded message ----------
> From: Energy Institute at Haas <ei at haas.berkeley.edu>
> Date: Thu, Nov 9, 2017 at 9:10 AM
> Subject: Postdoctoral Fellow in Energy Data Visualization and Curation
> To: cwolfram at berkeley.edu
> View this email in your browser
> *Postdoctoral Fellow in Energy Data Visualization and Curation*
> *CLIR/DLF Postdoctoral Fellow in Energy Data Visualization and
> Curation—University of California, Berkeley*
> Two-year full-time position starting August 2018
> The Energy Institute at Haas and the University Library at the University
> of California, Berkeley seek an exceptional postdoctoral researcher with a
> focus on leadership and impact on digital scholarship, data visualization
> and data curation.
> This two-year position is central to the shared goal of the Energy
> Institute and Library to explore new techniques in data visualization,
> storytelling with data and creation of original and innovative scholarship.
> The fellow will contribute to the research endeavors of the Energy
> Institute, will help lead the development of innovative data visualization
> and storytelling techniques around data, study policy and practical issues
> around the publishing of data visualizations for sensitive data, coordinate
> and deliver instruction on data visualization techniques, engage in data
> curation for visualization tools and products, and engage in original
> research relevant to their area of expertise. As part of this fellowship,
> the incumbent will work with the California Energy Commission to explore
> new techniques in data visualization and storytelling with data and the
> creation of original and innovative data intensive analysis in multiple
> The ideal candidate will have expertise related to data analysis,
> visualization or data curation. Successful candidates will possess
> initiative and a vision of research and service that fits with the Energy
> Institute and Library missions.
> Applications are due by December 29, 2017.
> *The full job description is available here
> Please spread the word among your friends and professional colleagues.
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> Energy Institute · 319 Giannini Hall · University of California, Berkeley
> · Berkeley, CA 94720-5180 · USA
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