Published: June 3, 2016

Applications are open forÌýaÌýPh.D.ÌýstudentÌýtoÌýfillÌýaÌýresearch assistantshipÌýin the Graduate Program of Hydrologic SciencesÌýat theÌýUniversityÌýofÌýNevada,ÌýReno (UNR) and the Desert Research Institute (DRI).Ìý

TheÌýsuccessfulÌýapplicantÌýwillÌýbeÌýpartÌýofÌýaÌýmulti-disciplinaryÌýteamÌýthatÌýincludesÌýexpertsÌýin snow physics, remote sensing, near-surface processes, and hydrologic modelling. He/she will take the lead in analysis and interpretation of multiple existing sets of hyperspectral and LiDAR dataset for the highly instrumented Sagehen Creek watershed in the Sierra Nevada.Ìý Ground-based measurements include soil moisture, water chemistry, snow properties, sap flow, and stream discharge, as well as information on the land-surface energy balance.Ìý The student will use this data to answer pressing questions in mountain hydrology developed with his/her faculty advisors.

FinancialÌýsupportÌýincludesÌýaÌýmonthlyÌýstipend,ÌýtravelÌýtoÌýscientificÌýmeetings,ÌýfieldÌýandÌýlaboratoryÌýanalyses, partialÌýtuitionÌýandÌýhealthÌýinsurance.ÌýApplicantsÌýshouldÌýhaveÌýanÌýundergraduateÌýorÌýgraduateÌýdegreeÌýinÌýhydrologic science,Ìýecohydrology,Ìýremote sensing, environmental engineering,ÌýorÌýaÌýrelatedÌýfield.ÌýTheÌýidealÌýcandidateÌýshouldÌýhaveÌýaÌýstrongÌýquantitativeÌýbackgroundÌýandÌýinterestÌýinÌýhydrologic modelling and interpretation of remote sensing data. ExperienceÌýusing Python or R for analysis of large data sets isÌýparticularlyÌýwelcomed.Ìý

ForÌýquestionsÌýandÌýdetailsÌýonÌýtheÌýposition,ÌýpleaseÌýcontactÌýAdrian Harpold (aharpold@cabnr.unr.edu;Ìý) or Rina Schumer (rina@dri.edu).