Employment
Candidates for the jobs listed below must apply through UC Santa Barbara at the provided link.
Current Job Openings
Position Description
The Network Office of the Long Term Ecological Research Network (LNO) seeks a digital communications coordinator to support all aspects of communication within the Long Term Ecological Research (LTER) program, including content development and updates, as well as digital strategy for website, newsletters, community platform, and social media.
Background
The National Science Foundation's LTER Program was established in 1980 to study ecological processes operating on decadal-to-century time scales. The program includes a network of 28 diverse sites across the U.S. and engages thousands of researchers and students. The mission of the LTER Network Office (LNO) is to catalyze and coordinate research, education, and outreach activities across the LTER Network.
Responsibilities
The Digital Communications Coordinator maintains fluid communication within the LTER Network and raises awareness of the mission and accomplishments of the Network in the scientific community. They identify story ideas based on publications and conversations with researchers at LTER sites and produce a variety of written, graphical, and digital materials to make LTER Network science accessible and relevant for scientific partners, stakeholders, and policymakers. A recently-launched community platform (LTERHub) provides an online gathering space for LTER participants and the communications officer also contributes to community stewardship on the LTERHub.
A small group of talented science writing fellows from across the LTER Network contribute stories to the LTER website and the Communications Coordinator participates in mentoring these fellows and editing their work.
In-person and online events are an integral part of LNO activities. As part of a small core team, the LTER Communications Coordinator assists with program, promotion, and logistics for LTER events, as do all LNO staff. Other related duties may be assigned.
Learn more and apply here: https://recruit.ap.ucsb.edu/JPF01987
Are you passionate about environmental data science? Have interest in applying Machine Learning techniques to solve cross-boundary environmental challenges? NCEAS seeks a Data Analyst (Junior Specialist position) to contribute to an expert working group’s development of an automated approach for rapid ecosystem assessment. Using a case study, this project will leverage Microsoft cloud and AI tools for Earth to get insights on ecosystem health from data collected by various automated monitoring sensors (such as satellite imagery). Additionally, the project aims to advance understanding of this field’s research trajectories, including the identification and application of new modeling and cyberinfrastructure innovations that can best support and accelerate the field’s development.
Under the mentorship of NCEAS Senior Data Scientist, the NCEAS Data Analyst will develop data pipelines to integrate heterogeneous sources of data and contribute to the development of Machine Learning (ML) models.
This position will be in residency at NCEAS and located in scenic downtown Santa Barbara, California. NCEAS is a pioneer in open, team-oriented, and data-driven science, and has an inclusive community of postdocs, resident scientists, and analysts, as well as frequent visiting leading scientists and practitioners from around the world.
Find out more and apply at: https://recruit.ap.ucsb.edu/JPF01977
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
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.
Internships
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.
Data Internships
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
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Ocean Health Index
Learn how to weave open data science principles into marine science and conservation.
Learn more