Note: We are not currently soliciting applications for Data Science Fellows. The information below provides details from previous recruitments.
The NCEAS Data Science Fellowship is a residential program at NCEAS where fellows work closely with data and informatics teams to solve data and software issues relating to environmental science. Fellows document and archive important ecological, physical, and social science data from research projects focused on environmental issues. This practicum-style program gives fellows the opportunity to gain practical knowledge and skills needed to manage national-scale data repositories. Fellowships are paid.
Data fellows will gain:
- Programming skills, including skills in new data management tools and languages
- Exposure to the day-to-day activities of managing national-scale data repositories
- Collaboration opportunities with scientists from institutions contributing to the NSF Arctic Data Center and NCEAS data scientists who build and manage data catalogs, including the DataONE global data federation
- Data science research and development experience with the NCEAS informatics team
- A deep understanding of data management and software for data systems
- Experience working with a team passionate about environmental data science
We encourage the development of new projects and collaborations within this fellowship – particularly with the opportunity to develop new web or software tools.
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.
The University of California is an Equal Opportunity/Affirmative Action Employer. The department is especially interested in candidates who can contribute to the diversity and excellence of the academic community through research, teaching and service.