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National Center for Ecological Analysis and Synthesis Data Fellows (Junior Specialists)

Recruitment Period

Open date: August 21st, 2019
Next review date: Monday, Sep 30, 2019 at 11:59pm (Pacific Time)
Apply by this date to ensure full consideration by the committee.
Final date: Thursday, Oct 31, 2019 at 11:59pm (Pacific Time)
Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.

Description

The National Center for Ecological Analysis and Synthesis invites applications for a pool of qualified temporary Data Fellows (Junior Specialist positions) to engage in data science projects relating to environmental science. These projects may include organization and analysis of data sets, developing software and libraries in support of ecological synthesis and data science projects, and/or creating learning curricula for enhance data literacy across the community. The Fellows will work closely with Project Data Coordinators, Scientific Programmers and/or Community Outreach leads to identify and scope project activities. They will work with other members of the data support team members and with scientists from targeted projects and working groups conducting research in support of project goals. The Fellows will gather and analyze data and document processes and results. Research activities may include web scraping, collaboration with external scientists, and investigation and synthesis of environmental data. Fellows will assist in developing tools and resources that utilize these data, including data visualizations, data quality analysis, automated metadata creation, data semantics or data training. For a list of example activities demonstrating the breadth and scope of work undertaken by Data Fellows please visit: https://www.nceas.ucsb.edu/fellowships/data-science-fellowship-recruitment. Development of tools and resources involves working in concert with data and computer scientists to devise and test user interfaces for the environmental science community. These tools and resources facilitate the processes surrounding documentation, analysis, and interpretation of environmental data.

This is a pooled recruitment, and may be a part-time or full-time position. Apply by September 30, 2019 for primary consideration; however, applications will be kept active for consideration within the department through October 31, 2019. Screening of applicants is ongoing and will continue as needed.

Minimum Qualifications
A baccalaureate degree (or equivalent degree) in ecology, environmental science, computer science, or a related field at the time of application

Preferred Qualifications
Familiarity with ecological or environmental science research
Experience in data management and/or analysis
Experience building structured metadata
Proficiency in a scientific computing language (R, MATLAB, Python)
Experience or comfort with training others

Please submit your application to UC Recruit: https://recruit.ap.ucsb.edu/JPF01568

You must include the following:
Curriculum Vitae
Cover Letter, including a description of your experience in data management and analysis, and a statement indicating which example research activity aligns most closely with your interests and expertise.
Names of 3 References (contact information only)

The department is especially interested in candidates who can contribute to the diversity and excellence of the academic community through research, teaching and service.

The University of California is an Equal Opportunity/Affirmative Action Employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.

Job location

Santa Barbara, CA

Requirements

Document requirements
  • Curriculum Vitae - Your most recently updated C.V.

  • Cover Letter - Please include a description of your experience in data management and analysis, and a statement indicating which example research activity aligns most closely with your interests and expertise.

Reference requirements
  • 3 required (contact information only)