美国科罗拉多大学博士后职位招聘–环境数据科学方向
Job Summary
The Environmental Data Science Innovation and Inclusion Lab (ESIIL) within CIRES at the University of Colorado Boulder welcomes applications for four Post-Doctoral Research Scholars who are working in the field of environmental data science (EDS) to address pressing environmental challenges. ESIIL holds inclusion as a core principle and method for diversifying EDS at a time when society needs all perspectives, and science needs to serve all.
ESIIL’s vision is grounded in the conviction that innovation and breakthroughs in EDS will be precipitated by a diverse, collaborative, curious, and inclusive research community empowered by open data and infrastructure, cross-sector and community partnerships, team science, and engaged learning. ESIIL Post-Doctoral Research Scholars are expected to produce innovative and/or applied environmental biology research while also representing and encouraging a diverse community to thrive in the rapidly evolving field of EDS.
The University of Colorado Boulder is committed to building a culturally diverse community of faculty, staff, and students dedicated to contributing to an inclusive campus environment. We are an Equal Opportunity employer, including veterans and individuals with disabilities.
Who We Are
At CIRES (https://cires.colorado.edu/) , more than 950 environmental science professionals work to understand the dynamic Earth system, including peoples relationship with the planet. CIRES has partnered with NOAA since 1967, and our areas of expertise include weather and climate, changes at Earths poles, air quality and atmospheric chemistry, water resources, solid Earth sciences, and more. Our vision is to be instrumental in ensuring a sustainable future environment by advancing scientific and societal understanding of the Earth system.
The Environmental Data Science Innovation & Inclusion Lab (ESIIL) (https://esiil.org/) is an NSF-funded data synthesis center led by the University of Colorado Boulder in collaboration with NSFs CyVerse at the University of Arizona and the University of Oslo. ESIILs mission is to empower an inclusive and diverse community to accelerate open Environmental Data Science. ESIIL is part of CIRES and enables a global community of environmental data scientists to demonstrate the wealth of environmental data and emerging analytics to develop science-based solutions to solve pressing challenges in environmental sciences.
ESIILs research community generates discoveries and novel approaches through
1) brand-new team science
2) innovative tools and collaborative cyberinfrastructures
3) data-science education and training
4) building inclusive participation and diverse groups.
These activities advance the frontier of environmental data science, a rapidly evolving field bridging the computational, biological, environmental, and social sciences.
What Your Key Responsibilities Will Be
– Develop and implement an environmental data science project that applies open data, tools, and cyberinfrastructure to address frontier research questions in environmental biology. Examples of data-driven projects may include: cross-scale or cross-site data harmonization and analysis to explore ecosystem patterns, artificial intelligence and machine learning applications in ecology, open science ethics and data sovereignty for environmental data, data-intensive exploration of evolutionary processes, big data and environmental justice, or other topical area in environmental biology that crosses the data, natural, and social sciences.
– Use open or available spatial and temporal data in creative ways to develop a data-driven research project. Examples of environmental data sources include remote sensing, observatories, biorepositories, citizen science, field-based collections, modeled and synthetic data, genetic data, social data, or other. Sovereign and protected data shall be treated with special considerations that follow the CARE data principles.
