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NCEAS Data Science Fellowship
NCEAS is seeking applications for the 2018 Data Science Fellows program. Our next six-month session will begin in early July. Data Science Fellows will be in residence at NCEAS and will work closely with data and informatics teams to solve data, analysis, and software issues relating to environmental science. Fellows will document and archive important ecological, physical, and social science data from research projects focused on environmental issues in Alaska and the Arctic. This practicum-style program gives fellows the opportunity to gain practical knowledge and skills needed to manage national-scale data repositories. Fellowships are paid.
Required Qualifications: Experience in data management and/or analysis, familiarity with metadata, experience with a scientific computing language.
Desirable Qualifications: Doctoral or master's degree, interest in ecological or environmental science, experience building structured metadata, proficiency in a scientific computing language (R, MATLAB, Python), experience or comfort with training others.
To apply for the session beginning in July:
Please attach the following in an email to firstname.lastname@example.org by Feb. 1, 2018, for full consideration, and by March 1, 2018, at the latest:
- A one to two page statement explaining your interest in being a fellow, your experience and qualifications, and your specific topics of interest in data science
- A resume or CV outlining your experience
- Name, email, and phone contact information for two non-peer references
Visit the NCEAS webpage at www.nceas.ucsb.edu/fellowships to learn more