Post-doc position in machine learning for Paleoclimate

We seek a Post-Doctoral Research Scholar to advance Northern Arizona University's research capacity in machine learning and data science in the field of paleoclimate dynamics. The scholar will develop and apply machine learning techniques to a new, large database of paleoclimate observations, including the forthcoming PAGES2k phase 2 database shown above (PAGES2k Consortium, in revision) . The goals of research include developing dynamic environmental indices for the southwest United States, applying ensemble learning techniques for paleoclimate data and chronological ensembles, and developing robust outlier detection algorithms. The scholar will also lead and contribute to proposals for external funding to further develop and expand these research directions.
Additional Details:
Candidates must have a Ph.D. in Machine Learning, Data Science, Statistics or a related field, conferred between August 31, 2013 and August 31, 2017.
The appointment is for two years, beginning between July 1 and September 5, 2017.
Salary is commensurate with experience, between $55,000 and $60,000 per year.
Applications must be submitted by January 5, 2017 at 11:59 p.m.