Position overviewPosition title: Environmental Data Science Trainer
Open date: December 15, 2023
Most recent review date: Monday, Feb 12, 2024 at 11:59pm (Pacific Time)
Applications received after this date will be reviewed by the search committee if the position has not yet been filled.
Final date: Sunday, Jun 30, 2024 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.
We seek a highly motivated Environmental Data Science Instructor to join our growing NCEAS Learning Hub team. The NCEAS Learning Hub's mission is to support environmental scientists throughout their data science journey. We teach cutting-edge data science curriculum, facilitate collaborative learning, and promote best practices in open science. We empower data scientists to more efficiently answer environmental questions through a diverse portfolio of in-person training. The EDS Trainer position will join a dynamic and collaborative team to help structure and grow environmental data science training programs, lead and coordinate training events, facilitate synthesis science research, and maintain existing and develop new curricula.
The trainings offered by the Learning Hub vary in style (e.g., hour-long workshops, multi-day in-person events), focus (e.g., R, Git, data management, open science, team science, Python), and audience (e.g., graduate students, researchers, industry and agency representatives). This position will play a crucial role in developing training opportunities that address the needs of environmental scientists and professionals, helping them to stay on top of the changing landscape of these fields. The position will also support our full portfolio of Learning Hub programs, such as our introductory to environmental data science course, coreR, and contribute to training efforts led by projects housed at NCEAS, such as the Gulf Ecosystem Initiative, Arctic Data Center, Morpho Initiative, LTER Network Office, and the Master of Environmental Data Science Program, among others.
The Learning Hub team members embrace open, collaborative, inclusive and kind practices. Creating a space where we can co-create and learn from each other. We stand by the principles we teach, empowering our team and others to be part of the open science movement.
As a successful applicant:
- You have participated in some level of teaching and conducting data science training sessions.
- You have experience conducting data analysis and working with data.
- You understand the need for innovative and creative teaching strategies that promote inclusion.
- You regularly engage with environmental data science communities.
- You have an environmental science background or experience engaging with environmental science-related researchers.
RESIDENCY AT NCEAS
NCEAS is located in scenic downtown Santa Barbara, California. Established in 1995, NCEAS is a research center of the University of California, Santa Barbara, and has a growing and thriving community of postdocs, resident scientists, and analysts, and a frequent influx of leading scientists and practitioners from around the world for scientific training and working groups. For over 25 years, NCEAS has been developing data science tools, supporting environmental research, and training environmental scientists. There is broad acknowledgment that NCEAS has significantly altered the way ecological science is conducted toward being more collaborative, open, integrative, relevant, and technologically informed.
NCEAS is committed to improving diversity and inclusion in science. We value the diversity of expertise, backgrounds, needs, and experiences reflected among our residents, visitors, and broader communities. We are committed to providing a safe, productive, and welcoming environment for everyone, regardless of race, ethnicity, religion, age, gender identity, parental status, sexual orientation, (dis)ability, citizenship status, and nationality. To see the steps we are taking to advance diversity and inclusion, please see our full statement here: https://www.nceas.ucsb.edu/DEIJ.
The University is especially interested in candidates who can contribute to the diversity and excellence of the academic community through research, teaching, and service as appropriate to the position.
- Bachelor's degree (B.S., B.A.);
- 1 or more years experience in data science, including programming in R, Python, or similar programming language.
- Master’s Degree in environmental science or computing-related field;
- Ability to translate complex scientific and computing information and concepts to a variety of audiences;
- Ability to organize information in a way that enhances accessibility and usability;
- Experience using version control (e.g. Git and GitHub);
- Experience conducting or contributing to scientific research project(s).
- Experience with community management or with community groups;
- Experience utilizing various technologies (e.g. Slack, Zoom) for communication and events;
- Demonstrates an understanding and acceptance of diversity, equity, and inclusion concepts that are inclusive of but broader than only race, ethnicity, and gender.
Curriculum Vitae - Your most recently updated C.V.
Cover Letter - We suggest that your cover letter includes:
Interest in the position
Qualifications related to the position
Experience supporting diversity, equity, and inclusion
Link to Example Code or Repository
- 3 required (contact information only)
Name and contact information for three references. The top candidate's references will be contacted before the final job offer.
Help contact: firstname.lastname@example.org
About UC Santa Barbara
The University of California is an Equal Opportunity/Affirmative Action Employer. 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.
As a condition of employment, you will be required to comply with the University of California Policy on Vaccination Programs, as may be amended or revised from time to time. Federal, state, or local public health directives may impose additional requirements.