The National Center for Ecological Analysis and Synthesis (NCEAS) and the Arctic Data Center invite applications for the 2018 Data Science Fellows program. The full-time Fellowships will be located in Santa Barbara, California and will include a stipend for living expenses and travel to NCEAS from within the United States.
Data Science Fellows will be resident at NCEAS for one or both of two six-month sessions starting in January and July, respectively and will work closely with data and informatics teams to solve data, analysis, and software issues relating to environmental science. Fellows will analyze, document, and archive important ecological, physical, chemical, 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.
Training will be customized to the needs of each fellow. Applicants from any discipline are encouraged to apply. This fellowship may be of particular interest to those involved in earth and environmental sciences, library and information sciences, research data management, statistics, or computer science.
Fellowship duties will include:
- Collaborative data management,
- Data quality analysis,
- Metadata creation,
- Data transformation and integration,
- Scientific programming, and
- Instructional resource development.
Required qualification for this fellowship include experience in data management and/or analysis, familiarity with metadata, and experience with a scientific computing language. 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 and a Doctoral or Master's degree are desired.
Applications should include:
- A one- to two-page statement explaining the applicant's interest in being a fellow, experience and qualifications, and specific topics of interest in data science;
- A resume or curriculum vitae outlining relevant experience; and
- Name, email address, and phone number for two non-peer references.
Submit applications via email to: This email address is being protected from spambots. You need JavaScript enabled to view it.
Application deadline for January 2018 Session: Friday, 1 September 2017
Application deadline for July 2018 Session: Thursday, 1 March 2018
For more information about the fellowship and application process, go to: Data Science Fellowship Homepage
For questions, contact: Jesse Goldstein
Email: This email address is being protected from spambots. You need JavaScript enabled to view it.
