Employment

Are you passionate about designing and building tools for open science?  Do you want to promote reproducible, high-impact research on the earth and the environment?  Do you love to collaborate at the intersection of software, science, engineering, and design? Then come join the vibrant community at NCEAS working on these issues.

We will be hiring under the UCSB job description for three separate roles with distinct expertise and skill-sets:

• Cloud developer - This position will focus on design and development for cloud-backend services supporting web-based scientific data and analytical software. Day-to-day work will include designing and developing cloud-based services (e.g., on Kubernetes) for analysis and processing for large earth-systems data and models.  
• Front-end developer - This position will specialize in web-design and development for  data science applications, including  scientific data visualizations and front-ends for data, analysis, and modeling systems.
• Graph databases and semantic knowledge modeling - This position will specialize in software development to build knowledge systems, using technologies such as linked open data, semantic search, and ontology engineering, to solve challenging data discovery and integration problems spanning the environmental and earth sciences.

Learn more here and apply here. 

We invite applications for a qualified temporary Data Fellow to engage in data science projects relating to environmental science in the deserts of California. These projects will include assisting in the organization and analysis of data sets, developing R Shiny Apps, and synthesis in support of ecological synthesis and data science projects, and/or creating data products for local stakeholders including The Bureau of Land Management.

Basic qualifications:

• An MSc degree (or equivalent degree) in ecology, environmental science, computer science, or a related field at the time of application

Preferred qualifications:

• PhD degree in ecology, environmental science, computer science, or a related field at the time of application
• Familiarity with ecological or environmental research
• Experience in data management and/or analysis
• Proficiency in a scientific computing language (R, MATLAB, Python)

Find out more and apply here. 

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 Environmental Data Science include Ethics and Bias, Text and Sentiment Analysis, and Data Visualization.

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 University is especially interested in candidates who can contribute to the diversity and excellence of the academic community through research, teaching and service. At Bren, we recognize the intrinsic relationship between diversity and excellence in all our endeavors; we embrace open, inclusive, and equitable access to opportunities for learning and development as our obligation and goal.

Find out more and apply here

We seek a Data Training Program Manager to help manage our growing portfolio of data science training programs at NCEAS. The Data Training Program Manager will be responsible for maintaining existing and developing new curriculum as well as coordinating and conducting data science training sessions with a team of scientists and trainers at NCEAS. 

As a successful applicant:

• You have experience developing curriculum, coordinating, and conducting data science training sessions.
• You understand the need for reproducible research and open science standards.
• You are familiar with and frequently engage with environmental data science communities.
• You understand the need for innovative and creative teaching strategies that ensure the feeling of inclusiveness.
• You stay abreast of current trends, research, and educational and outreach opportunities in environmental data science.
• You have an environmental science background or experience engaging with environmental science-related researchers.

Find out more and apply here