13 spatial analysis positions at Cornell University

Social Science Research and Spatial Data Librarian

the position. 5-6 years of relevant professional experience, including at least 3 years’ experience finding, wrangling, processing, and preparing spatial data so that it can be used for analysis, using

Mohawk River Coordinator - BEE

. Ability to use Geographic Information Systems (GIS) for mapping and spatial analysis This position is full-time (40 hours/week) and at this time will be based in the Department of Environmental

Postdoctoral Associate/Bat Abundance Using Mobile Acoustics

qualifications: Experience with analysis of acoustic monitoring data, previous experience with bat population ecology, experience in partnerships/working with stakeholder groups, population modeling, spatial

Research Associate/Applied Statistician: Integration and validation of eBird and BBS data to provide spatially explicit population trends

Research Associate/Applied Statistician: Integration and validation of eBird and BBS data to provide spatially explicit population trends Research Associate/Applied Statistician: Integration and

Postdoctoral Associate - Birds of the World, Cornell Lab of Ornithology

population trends across large spatial extents in high spatial and temporal resolution. This position will explore what avian life history data are needed for further expanding the utility of the Lab’s data

Technician III/Hemlock Conservation Technician

possible. Ordering field supplies and maintaining stocks and maintaining inventory. Provide basic data analysis using basic statistical methods and computer software (including Excel, Access, , R

Technician III/Hemlock Conservation Technician

, as best as possible. Ordering field supplies and maintaining stocks and maintaining inventory.   Provide basic data analysis using basic statistical methods and computer software (including Excel

Geospatial Science for Sustainable Land Processes and Management

controlling micro- and macro-level processes, ranging from soil and the microbiome to regional nutrient, water, and carbon flows, require spatial analysis that draws increasingly on integrating advanced sensing

Postdoctoral Associate

, knowledge of bat acoustic monitoring methods, population modeling, spatial analysis, machine learning, N-mixture models, Bayesian hierarchical models, big data skills, R Shiny App, supervisory experience

Postdoctoral Associate/North American Bat Monitoring Program

acoustic recordings, population modeling, spatial analysis, machine learning, big data skills, R Shiny App. Preferred qualifications also include familiarity with NABat and experience uploading and accessing