Postdoctoral Scholar - Employee

School or Division: Scripps Institution of Oceanography
Department: Climate, Atmospheric Science and Physical Oceanography
Contact Name: Dr. Matthew Mazloff
Contact Email:
Project Title: Collaborative Research: A hybrid four-dimensional variational data assimilation / scientific machine learning framework for coupled Arctic Ocean-sea ice model parameter calibration, state estimation, and nowcasting

Description of the Position: The candidate is tasked with producing a machine learning-based surrogate modeling approach to accelerate or replace the sea ice dynamical component of a coupled sea ice-ocean model. The surrogate model will be trained with observations and model output. Ensemble simulations will be conducted to assess the behavior and skill of the surrogate model with respect to current sea ice dynamical solvers and observations. The candidate will also work with collaborators in the CRIOS group at the Oden Institute for Computational Engineering and Sciences, UT Austin, who lead a complementary machine learning-based effort in the context of the sea ice-ocean forward and adjoint model. We aim to provide a nurturing environment and engaged mentoring to support the postdoctoral researcherís professional development. Contact Matt Mazloff ( for further information.

Qualifications Required and Preferred Academic Background: Applicants should have 0-2 years of postdoctoral experience, or be nearing completion of their Ph.D. (estimated within 3 months), and be self-motivated. Good written and verbal communication skills, including the ability to produce scientific publications and presentations and meet project milestones, are required. Also required is a strong analytical background with a Ph.D. in physical oceanography or a related field.

Programming experience working in a Unix environment with experience in scripting languages such as Fortran or Python is desired. Other desired qualifications include experience with in situ and satellite sea ice observations, numerical modeling, machine learning, and data analysis. A theoretical background in sea ice dynamics is also desired, but not required.

Appointment Length/Period: Initial appointment is for one year, with extension possible contingent upon candidate eligibility, performance, and eligibility of funding. Desired start date is October 1, 2020, or by mutual agreement.

Application Procedure: Please contact Dr. Matthew Mazloff via email at with a CV, a personal statement of the candidateís experience and career goals, and the names and email contact information for three referees.

Application Closing Date: open until filled, with preference to applications received by September 30, 2020.

The University of California, San Diego is an AA/EOE.

posted: 25 August 2020 ††††Please mention EARTHWORKS when responding to this advertisement.