Earth Lab is hiring a Research Data Scientist to: assist researchers and students with Earth data management, data science, and visualization by conducting custom project-specific analyses and developing generic libraries for broader use. Analytics methods include statistics, machine learning, and artificial intelligence for computer vision, natural language processing, and other deep learning applications. The applicant will contribute to collaborative and open-source code and R or Python package development. A primary aim of this role is to use emerging techniques in data science to integrate different datasets (remote sensing, eDNA, site inventory, social media, etc.) across scales from microbes to continents. This is a relatively new area of Earth Science, so the candidate need not be a specialist on all aspects of the problem but should be willing to learn and to show initiative. We use state-of-the-art computing that uses existing cyber-infrastructure investments including high-performance compute and cloud services.
Earth Lab is part of the Cooperative Institute for Research in Environmental Sciences (CIRES) and CU-Boulder's Grand Challenge: Our Space, Our Future. Earth Lab's mission is to harness the data revolution using Earth observations from aerospace platforms (drone, aircraft, and space) and other sources (e.g., social media, etc.) to better understand the pace and pattern of environmental change. We: capitalize on the data deluge from Space to accelerate global environmental change science; reduce environmental risk and surprise by understanding and predicting slow and abrupt Earth system change; and train a new generation of data scientists in Earth analytics. Our commitment to open and inclusive science has made us leaders in free, accessible data science education and employing data science for novel and cutting-edge environmental science. We work closely with stakeholders in government, private industry and non-profits to provide value beyond academic research.
Please find the full job ad and instructions on how to apply here: https://jobs.colorado.edu/jobs/JobDetail/?jobId=29628