California Institute of Technology

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Research Scientist

at California Institute of Technology

Posted: 9/19/2019
Job Reference #: 3826
Keywords: research

Job Description

Caltech is a world-renowned science and engineering institute that marshals some of the world's brightest minds and most innovative tools to address fundamental scientific questions. We thrive on finding and cultivating talented people who are passionate about what they do. Join us and be a part of the diverse Caltech community.

Job Summary

The Climate Modeling Alliance (CliMA) is a coalition of scientists, engineers, and applied mathematicians from Caltech, MIT, the Naval Postgraduate School, and NASA's Jet Propulsion Laboratory. We are building the first Earth System Model (ESM) that automatically learns from diverse data sources to produce accurate climate predictions with quantified uncertainties. Our predictions will inform stakeholders as they plan resilient infrastructure, adapt supply chains to a changing climate, and assess the risks of climate-related hazards in their communities. At Caltech, we are seeking Research Scientists to develop, test, and implement ESM components.

For more information about CliMA and the open positions, please visit or contact us at

Job Duties

As a CliMA Research Scientist at Caltech, you will collaborate with a dynamic, multi-disciplinary team of curious and creative scientists, engineers, and applied mathematicians. You will advance the state of knowledge and contribute to the development of a data-informed ESM in one or more of several possible ways:

– Devising fast and scalable data assimilation and machine learning (DA/ML) algorithms that allow a computationally complex ESM to learn from diverse data sources, such as satellite observations or high-resolution simulations of turbulent flows
– Developing physically informed parameterizations of subgrid-scale processes in the atmosphere that are suitable for DA/ML approaches, including models for boundary layer turbulence, clouds, and convection
– Developing components of a land hydrology and biosphere model that uses DA/ML algorithms to learn from space-based observations of the hydrologic cycle and of the biosphere
– Prototyping and building capabilities to run high-resolution large-eddy simulations on demand within a global ESM

We are seeking to fill several Research Scientist positions, spanning a range of expertise from computational and applied mathematics to the atmospheric and oceanic sciences.

Basic Qualifications

– Completed a doctoral degree in applied mathematics, atmospheric or oceanic sciences, computer science, engineering, physics, statistics or a related field
– A strong physical, mathematical, and/or computational background
– Programming experience in at least one general purpose language
– Demonstrated effective written and verbal communication skills
– At least 2 years of postdoctoral experience
– Leadership experience of research projects, as demonstrated by publications

Preferred Qualifications

– Experience with high-performance parallel computing
– Experience working in multi-disciplinary teams and interacting cross-functionally with a wide variety of people

Required Documents

– Curriculum Vitae
– One-page statement of research interests
– Three letters of recommendation: Confidential letters of recommendation should be emailed to Emails should include the applicant's name and the position title, Research Scientist.