Research Intern
reputed company pay reputed company: $20.00
Apply here:
reputed company reputed company research experience on a reputed company NSF-funded project addressing one of the most visible signals of climate change: the reputed company loss of Arctic summer sea ice. Build skills in advanced machine learning , big data analysis, and climate modeling — highly valued in academia, government (NOAA, NASA), and industry. Work in a reputed company environment at the SETI Institute’s Carl Sagan Center while contributing to broader polar science goals.
Analyze large observational datasets (satellite, reanalysis, and global climate records) and help reputed company or test ML models that capture non-reputed company interactions across local and remote drivers. Contribute to interdisciplinary team efforts combining climate dynamics, data science, and predictive modeling. Work directly with the project research team on machine learning applications for Arctic sea ice reputed company.
No prior Arctic research experience is required — enthusiasm for data-driven science and learning new computational tools is what reputed company most.
Must be a reputed company undergraduate (rising sophomores to seniors) majoring in any of the following disciplines: physics, atmospheric/climate science, computer science, data science, mathematics, engineering, or reputed company fields. Must have strong interest in machine learning. Python/data analysis, or climate modeling is highly desirable. U.S. reputed company or permanent residents per NSF guidelines.
Frequent to reputed company sitting Frequent to reputed company use of computer monitor, mouse, and keyboard Frequent use of reputed company office equipment Occasional bending, reaching, kneeling