The Research Data Scientist will advance AI weather forecasting across scales, from short- and medium-range to subseasonal-to-seasonal (S2S) predictions
Job Summary
The Research Data Scientist will advance AI weather forecasting across scales, from short- and medium-range to subseasonal-to-seasonal (S2S) predictions.
This position involves working with low- and middle-income countries to disseminate forecasts, test their effectiveness, and refine them based on user feedback.
The role will collaborate with leading experts in atmospheric science and AI from the University of Chicago and other institutions, accelerating the translation of research outcomes to significant societal impact.
Matching Summary
The Research Data Scientist will advance AI weather forecasting across scales, from short- and medium-range to subseasonal-to-seasonal (S2S) predictions.
Salary
$101,000.00 - $129,000.00
Skills & Requirements
Must-have
AI weather forecasting
climate research
data analysis
scientific publication
Nice-to-have
interdisciplinary collaboration
high-performance computing
user feedback integration
global policy engagement
Key Requirements
5-7 years of work experience
College or university degree in related field
Ph.D. in Environmental Science, Climate Science, Atmospheric Science, Engineering, Statistics, Applied and Computational Mathematics, Physics or related STEM field (preferred)
Strong background in environmental science, weather forecasting, or climate modeling/dynamics (preferred)
Experience with high-performance computing and analysis of large datasets (preferred)
Strong programming and numerical skills (preferred)
Familiarity with scientific deep learning (preferred)