Postdoctoral Research Associate in Oceanic Variability, Predictability and Change
The Atmospheric and Oceanic Sciences Program at Princeton University, in association with NOAA’s Geophysical Fluid Dynamics Laboratory (GFDL), seeks a postdoctoral research associate or a more senior for research related to intraseasonal-to-decadal oceanic variability, predictability and change. A key focus will be systematic comparison of observations and dynamical models to understand the character of and causes behind past changes to the ocean, with focus on the impact of the ocean on intraseasonal-to-decadal predictability. This would likely include assessment of and modifications to coupled and ocean data-assimilation systems. This will include assessments of predictability arising both from natural variability and radiative forcing changes. The research will also examine interactions between natural decadal variability and the climate system response to radiative forcing changes, including attribution of observed ocean changes. The research will make extensive use of both observations and a variety of modeling tools, including newly developed high-resolution global climate models. The selected candidate will have one or more of the following attributes: (a) a strong background in physical oceanography, climate dynamics, or a closely related field; (b) experience using and analyzing advanced climate models and ocean observational datasets, and (c) strong diagnostic skills in analyzing large data sets.
Candidate must have a PhD. Initial appointment is for one year with the possibility of renewal subject to satisfactory performance and available funding.
Complete applications, including a CV, publication list, at least 3 letters of recommendation, and a statement of research interests should be submitted by October 15, 2015 for full consideration. Applicants should apply online to http://jobs.princeton.edu, Requisition # 1500567. For additional information, contact Gabriel Vecchi (firstname.lastname@example.org).
This position is subject to the University's background check policy. Princeton University is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.
HPC Application & Workflow Positions
Princeton University’s Cooperative Institute for Climate Science has a number of openings in the general area of high-performance computing, algorithms and workflows. The positions will support an exciting new initiative to adapt GFDL/CICS Earth System models to novel architectures and systems.
Our effort will take place in the context of an integrated effort to target NOAA Earth system models to these novel architectures, where we will contribute to the overall NOAA effort, as well as specifically target models and model components used in GFDL Earth System Modeling and based on the Flexible Modeling System (FMS). (http://www.gfdl.noaa.gov/fms).
The scope of the work is broad: it includes
● redesigning the architecture of the Earth system model for greater concurrency
● the optimization of codes for fine-grained parallel architecture, requiring knowledge of compilers (including layers like LLVM) and languages for expressing parallelism (MPI, OpenMP, OpenACC, CUDA, PGAS)
● the redesign and substitution of existing algorithms with others better suited for novel architectures.
● the redesign of the complete workflow systems for maximizing system throughput
● rigorous testing and scientific quality assurance of code modifications
Candidates will join a dynamic team of computational experts attached to one of the foremost research institutions in Earth system science, will collaborate with top scientists and algorithm developers in the field, and will have access to an extraordinary range of computational and data resources. This is a growth area for the lab and the lab’s group leading this effort, and candidates will have considerable leeway to develop their own ideas within the context of the lab’s mission. Candidates must be able to work in a team environment that combines the collegiality of an academic setting with the focus of a mission agency, and be able to deliver rigorously tested results to meet deliverables for international collaborative science missions. Occasional travel to project meetings, site visits, and national and international conferences and workshops is to be expected.
Candidates must possess an MS in a relevant field (computer science, or physical sciences) and at least two years experience working with weather or climate codes and runtime environments in an HPC context. At least one senior hire (PhD, and/or 10 years relevant experience) is envisioned. Knowledge of one or more parallel programming methods is desirable. Appointments will be made at either the Associate Professional Specialist or Professional Specialist rank, depending on the candidate’s credentials.
Applicants must apply online to, Requisition #1500296 and submit a CV, publication list and contact information for at least 3 references.
Princeton University is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability status, protected veteran status, or any other characteristic protected by law. This position is subject to the University’s background check policy.