Candidates for the jobs listed below must apply through UC Santa Barbara at the provided link.
Current Job Openings
Are you passionate about teaching open and reproducible data science skills? Do you want to support and promote environmental data science communities?
We seek a Data Training Coordinator to join the brand new Masters of Environmental Data Science (MEDS) program. The 11-month degree program is administered by UCSB’s Bren School of Environmental Science and Management in partnership with NCEAS. The data training coordinator will be based at NCEAS.
The data training coordinator will be responsible for designing data science trainings that vary in style (e.g. half-day workshops, multi-day bootcamps), focus (e.g. R, Python, Cloud Computing, website creation, data storytelling), and audience (primarily graduate students but also researchers and faculty). Your role will be flexible and dynamic, allowing you to adapt to the most pressing needs of the community. You will work closely with the MEDS Coordinator to identify additional opportunities for targeted data science training for students. Responsibilities also include community outreach and engagement both internally and with the broader environmental data science community, through social media and other communication channels. You will conduct regular assessments and evaluations of your training sessions.
Find out more and apply at https://recruit.ap.ucsb.edu/JPF01974
The UCSB Master's in Environmental Data Science program is a partnership between NCEAS and the Bren School of Environmental Science and Management.
UCSB’s Bren School invites applications for temporary, part-time lecturers who can teach one or more graduate-level courses for master’s students pursuing professional degrees in Environmental Data Science and/or Environmental Science and Management. Areas of instruction may include Data Science, Conservation Planning, Environmental Planning, Biogeochemistry, Ecotoxicology, Energy and Climate, Water Policy, Environmental Negotiation, and Environmental Justice. Specific areas in Data Science include Data Visualization and Communication, Ethics and Bias, Analytic Workflows and Scientific Reproducibility; Team Science, Collaborative Analysis and Project Management; Metadata Standards, Data Modeling and Data Semantics; Text and Sentiment Analysis for Environmental Problems; Machine Learning for Environmental Science, and related topics.
Applicants must have a minimum of a master's degree or a bachelor's degree in a relevant field and at least three years of relevant work experience. Applicants should have training and experience teaching in the relevant field. A PhD in a relevant field and some teaching experience is preferred. Appointments are variable percentage (generally 17-33% time for one quarter) with the possibility of an annual reappointment. Salary is dependent upon qualifications. Terms and conditions of employment are subject to UC policy and any appropriate collective bargaining agreement.
The effective start date is Aug 2, 2021 for Summer appointments and Sept 23, 2021 for Fall appointments.
Find out more and apply at https://recruit.ap.ucsb.edu/JPF01945
Are you passionate about designing and building web applications for open science? Do you want to promote reproducible and synthetic research on the earth and the environment? Do you love to collaborate at the intersection of science, engineering, and design?
We seek a talented web developer and designer to join our open science development team and contribute to web applications that advance ecological and environmental synthesis at global scales. Projects focus on building web sites for sharing and managing scientific information and data, analysis code, and other science products to help promote open, reproducible science and facilitate synthetic research.
Projects will include designing and building web sites and applications that present scientific results in ecology and environmental science and that enable scientists to describe, submit, and discover data, analysis results, and other project details important to researchers. Projects will initially build web applications for the Arctic Data Center, the Ocean Health Index, and the DataONE network of data repositories, among many others. Upcoming projects include, for example, ones that focus on redesigning project web sites, publishing scientific findings, displaying metadata quality results on the web, and building web sites to support and promote preservation, discovery, reuse, and citation of open scientific data.
NCEAS 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.
Our internships are open only to undergraduate and graduate students at UC Santa Barbara.
Science Communication Fellowship
Our Science Communication Fellowship is a paid internship that is open to all UCSB students. It provides the opportunity to build professional experience in communicating the value of science for solutions to pressing environmental challenges.
Do you want to learn best practices in data science and open science, while contributing to real synthesis research projects?
NCEAS data internships include training, mentorship, and the opportunity to collaborate with scientists. Most internships will include working with GitHub, R/RStudio/RMarkdown, or Python/Jupyter Notebooks. Interns are paid an hourly wage and must work at NCEAS' office in downtown Santa Barbara.
We regularly hire data interns to support the following initiatives. If you apply for more than one internship at the same time, please indicate that in your cover letter.
Data Internship Opportunities
Ocean Health Index
Learn how to weave open data science principles into marine science and conservation.Learn more