The Development Innovation Lab at the University of Chicago uses the tools of economics to develop innovations with the potential to benefit millions of people in low- and middle-income countries. It was founded and is led by Nobel laureate Michael Kremer.
Human-Centered Weather Forecast Initiative
The Human-Centered Weather Forecast (HCWF) Initiative works with governments, academia, tech companies, and other partners to deliver tailored forecasts that can improve human lives. Weather forecasts should be accurate as well as oriented around the specific human needs on the ground, then delivered at the right time and place to inform decisions—like giving farmers advanced notice of the start of the rainy season.
HCWF brings together climate scientists, artificial intelligence (AI) experts, and economists to build and evaluate weather forecasts that can target what citizens need to know, leveraging novel technologies, including AI, and scientific understanding. The interdisciplinary team then works with low- and middle-income countries to test forecast dissemination strategies, refine those strategies based on user response, and scale forecast dissemination to improve decision-making.
Formal employment will be through an in-country employer of record (“EoR”) under contract with DIL. Additional details regarding salary, benefits, and terms and conditions of employment offered by the EoR will be provided to individuals during the hiring process.
Job Summary
The Atmospheric Scientist will help create advanced, built-for-purpose forecasts of high-impact weather phenomena for deployment at scale in Indonesia. As part of a multidisciplinary collaboration between universities, international development agencies, and governmental ministries, the selected candidate will contribute to the development of forecasts of dangerous heat stress, precipitation, monsoon onset, and other tropical phenomena using AI, statistical, and physics-based weather prediction models. This is not a traditional postdoctoral position, and is focused on large-scale delivery of decision-oriented forecasts together with research and development. The position may be especially well-suited for candidates with expertise in one or more of the following areas: monsoon onset prediction; short- or mediumrange precipitation forecasting; tropical intraseasonal variability; and extreme heat and heat stress forecasting.
