Massachusetts Institute of Technology, Earth, Atmospheric & Planetary Sciences

Position Title: Postdoctoral Scholar in Data-Informed Earth System Modelling at MIT
Position Type:Postdoctoral
Position Location:Cambridge, Massachusetts 02139, United States [map]
Subject Areas: Mathematics
Computer Science
Ocean-atmosphere interactions
Atmospheric Science
Appl Deadline:2019/01/08help popup* finished (2018/08/17, finished 2019/01/09, listed until 2019/02/28)
Position Description:    

*** this position has been closed, and no new applications will be accepted. ***

* this map is a best-effort approximation. Open in Google Maps directly.

Postdoctoral Scholar in Data-Informed Earth System Modeling at MIT

Job Summary Climate change projections continue to be marred by large uncertainties. But breakthroughs in their accuracy are within reach, thanks to recent advances in the computational and data sciences and in the availability of Earth observations from space and from the ground. The Massachusetts Institute of Technology (MIT) and partner institutions are developing a new Earth system modeling platform to harness these advances. It will fuse an Earth system model (ESM) with global observations and targeted local high-resolution simulations of clouds, turbulence, and other elements of the Earth system. At MIT we will focus on the ocean component of the ESM.

As Postdoctoral Scholar, you will collaborate with a dynamic, multi-disciplinary team of scientists, engineers, and applied mathematicians, spanning MIT, the California Institute of Technology, and the Naval Postgraduate School.

We are seeking to fill two Postdoctoral Scholar positions within this initiative, spanning a range of expertise from computational and applied mathematics to the atmospheric and oceanic sciences.

For more information contact Professors Raffaele Ferrari or John Marshall at

Job Duties: You will contribute to the development of a data-informed ESM by: developing physically informed parameterizations of subgrid-scale processes in the ocean that are suitable for data assimilation and machine learning approaches, including models for boundary layer turbulence, submessocale processes, and deep convection; or building and prototyping numerical and computational methods for an ocean dynamical core that is scalable and adaptable to emerging hardware architectures; or applying scalable data assimilation and machine learning algorithms, to allow them to learn systematically from diverse data sources, such as satellite observations or high-resolution simulations of turbulent flows.

Basic Qualifications: Ph.D, in applied mathematics, atmospheric or oceanic sciences, computer science, engineering, physics, statistics, or a related field by the date of hire. Strong physical, mathematical, and/or computational background. Programming experience in at least one general purpose language. Demonstrated effective written and verbal communication skills.

Required Documents:

Curriculum Vitae One-page statement of research interests Three letters of recommendation

MIT is an equal employment opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, sex, sexual orientation, gender identity, religion, disability, age, genetic information, veteran status, ancestry, or national or ethnic origin.

Application Materials Required:
Submit the following items online at this website to complete your application:
And anything else requested in the position description.

Further Info:
Department of Earth, Atmospheric and Planetary Sciences
77 Massachusetts Avenue, Bldg 54-924
Cambridge MA 02139-4307

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