The International Research Institute for Climate and Society (IRI) is located on the Lamont Campus of Columbia University in Palisades, NY, just 20 miles north of the Morningside Campus in New York City.
Our mission is to enhance society’s capability to understand, anticipate and manage the impacts of seasonal climate fluctuations in order to improve human welfare and the environment, especially in developing countries. In this context, we undertake fundamental research that is informed and advanced with problem focused projects in South and South East Asia, Sub-Saharan Africa and in Latin America, partnering with appropriate experts for the problem and region.
Available Administrative positions at IRI will be posted through the Jobs at Columbia portal, under department 6010 – EIL Lamont Divisions, or department 6061 – EIM Centers and Divisions.
Available Research Positions at IRI will be posted on RAPS, the applications site for academic positions at Columbia University, under 6061- EIM Centers & Divisions
Current Open Positions:
Associate Research Scientist – Seasonal and Sub-Seasonal Climate Forecasting [posted Nov 14, 2017]
The primary responsibilities will be to (1) advance research in the understanding of the weather and climate system at sub-seasonal and seasonal timescales; (2) develop S2S predictive capabilities relevant to climate services; and (3) to support and further develop predictive software, such as IRI’s Climate Predictability Tool.
Applicants must have a PhD degree in climate, atmospheric science, statistics, or related field. At least one year of relevant employment experience after having been awarded a PhD is required, as well as a strong publication record. Familiarity with multi-model seasonal forecasting and verification, including experience with a range of statistical methodologies relevant to application of model outputs, is necessary. We also seek experience designing and performing experiments with global climate, and earth-system, models. Demonstrated proficiency in scientific programming languages such as Fortran, Matlab, R and Python is required. The successful candidate will have expertise in S2S diagnostics, modeling and forecasting using dynamical and statistical models.
Knowledge of physical mechanisms driving the climate In Latin America and the Caribbean would be particularly desirable.