Outstanding UA benefits include health, dental, and vision insurance plans; life insurance and disability programs; paid vacation, sick leave, and holidays; UA/ASU/NAU tuition reduction for the employee and qualified family members; state and optional retirement plans; access to UA recreation and cultural activities; and more!

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The successful candidates will work with a team of investigators from the University of Arizona and other research institutes to perform two major tasks: (1) advance the global precipitation climatology project (GPCP), and (2) improve precipitation forecast for hydrologic application. The general approach is to combine precipitation information available from several sources (in situ, reanalysis, remote sensing) into a final merged product, taking advantage of the strengths of each data type. For the forecasting efforts, global forecast models in conjunction with remote sensing data will be used. However, there is also flexibility in the type of research and analysis that will be determined based on the strengths of the candidate.

Knowledge, Skills & Abilities:

• Professional in computer programing (e.g., Python, Matlab, Fortran) and statistical analysis.
• Ability to perform high-quality work both individually and within a group.

• Bachelor's degree or equivalent advanced learning attained through professional level experience required.
• Minimum of 5 years of relevant work experience (including Postdoctoral experience), or equivalent combination of education and work experience.

• Strong interest and experience in working with Machine Learning techniques.
• Strong record of publishing papers in high-ranked journals.