Research Scientist in Lagrangian Iceberg Modelling
The Atmospheric and Oceanic Sciences Program at Princeton University, in association with NOAA's Geophysical Fluid Dynamics Laboratory (GFDL), seeks a postdoctoral research associate to experiment with, and further develop, a Lagrangian model of tabular icebergs for use as a component of an earth system model.
This work will involve developing modeling representations of iceberg formation, evolution and breakup, by using a mix of discrete element modelling and conceptual parameterizations of unresolved processes in a prognostic iceberg model. The project aims to enable simulation of tabular icebergs in realistic representations of the global ocean and to use such simulations to study both historical events and look at future projections.
The ideal candidate has a strong background in one or more areas among material science, soft-matter science (granular materials), physical oceanography, numerical methods, sea-ice dynamics and geophysical fluid dynamics. Experience with smoothed particle hydrodynamics solvers, the discrete element method, and or large general circulation models will be advantageous in this research.
Candidates must have a Ph.D. in either applied mathematics, physics, cryosphere, or a related field by the time their appointment starts. Initial appointment is for one year with the possibility of renewal subject to satisfactory performance and available funding.
Complete applications, including a CV, a statement of research interests, and contact information of 3 references should be submitted by July 6th, 2018 for full consideration. Applicants must apply online to https://www.princeton.edu/acad-positions/position/7021.
For more information about the research project and application process, please contact Alistair Adcroft (email@example.com) or Olga Sergienko (firstname.lastname@example.org). This position is subject to the University's background check policy.
Princeton University is an Equal Opportunity/Affirmative Action employer and all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity or expression, national origin, disability status, protected veteran status, or any other characteristic protected by law.