Associate Research Scientist

We are looking for an Associate Research Scientist to work at the interface between climate modeling and machine learning. The successful applicant will perform research as part of the multi-institution international project, MLInES https://m2lines.github.io, supported by Schmidt Futures, which aims to further our understanding of climate processes and to reduce climate model biases, using scientific machine learning. The main goal of the work will be implementation, testing and further development of new machine-learning parameterizations for subgrid atmospheric processes (convection and turbulence) and observations-based nudging tendencies in the Community Earth System Model (CESM). Testing will be done in models of increasing complexity from single column model to prescribed sea surface temperature to fully coupled model. The successful applicant will work as part of the MLInES atmospheric science team with Dr. Judith Berner at the National Center for Atmospheric Research (NCAR), Prof. Paul O'Gorman (MIT), and Pierre Gentine (Columbia University). The successful applicant is also expected to actively collaborate with other MLInES team members, with scientists and engineers at NCAR, and with the Institute of Computing for Climate Science (ICCS). Examples of our research related to this project can be found at: https://m2lines.github.io/research/

Required attributes:

- Experience with climate-model development

- Knowledge of atmospheric physics or closely-related fields

- Scientific programming experience

- Ability to work independently and as part of a team

- Strong interest in machine learning

- A record of relevant publications in the peer-reviewed scientific literature appropriate to their career stage

Desirable attributes:

- Experience with CESM and in particular the Community Atmosphere Model (CAM)

- Experience with theory and modeling of convection or turbulence

- Experience with machine learning

- Ability to communicate effectively with diverse groups of people

The Department of Earth and Environmental Engineering (EEE) at Columbia University dedicated to advancing research and education in the fields of environmental science, engineering, and sustainability. Columbia University offers a competitive salary commensurate with experience and a comprehensive benefits package. This position provides ample opportunities for professional growth and career development.

The candidate is expected to have a PhD in a related science field.

The salary of the finalist selected for this role will be set based on a variety of factors, including but not limited to departmental budgets, qualifications, experience, education, licenses, specialty, and training. The above hiring range represents the University's good faith and reasonable estimate of the range of possible compensation at the time of posting.