Northern Arizona University, NAU SICCS

Program ID: 2371-GRAD [#15113]
Program Title: Ph.D. Graduate Program in Ecoinformatics
Program Type: Academic admissions
Program Location: Flagstaff, Arizona 86011, United States
Subject Area: Ecoinformatics
Application Deadline: 2020/01/01help popup (posted 2019/11/04)
Program Description:    

Recruitment is open for graduate student positions in the area of Ecological and Environmental Informatics in the School of Informatics, Computing and Cyber Systems (SICCS) at Northern Arizona University (NAU). Qualified students are eligible for research and teaching assistantships with highly-competitive stipends. SICCS’s mission is to conduct high-impact, innovative research in informatics with an emphasis on producing solutions that lead to benefits in ecosystem health.

Research opportunities are available in the following areas linked to specific SICCS faculty: Jay Barber: Bayesian statistics, spatial statistics, ecological and environmental applications. Chris Doughty: The impact of biodiversity loss on ecosystem services and how tropical forests impact global climate. Scott Goetz: Remote sensing & geospatial analysis of bio-geophysical processes at regional to global scales, with focus on boreal and tropical forests. Kevin Gurney: Climate change, biogeochemistry, ecology, energy, science policy. Deborah Huntzinger: The carbon cycle, climate change, terrestrial biogeochemistry, modeling of land-atmosphere carbon dynamics, carbon footprint analysis. Patrick Jantz: Forest canopy structure, geoinformatics, remote sensing, sustainable development. Kiona Ogle: Plant and ecosystem functioning in arid and semi-arid systems (carbon and water relations in woodlands and deserts) and temperate forests (tree functional traits, tree growth), and applications of Bayesian methods to synthesize data in the context of ecological process models. Andrew Richardson: Terrestrial ecosystems and global change, biosphere-atmosphere interactions, model-data fusion, sensor networks, near-surface remote sensing, and "big data" in ecology (e.g. PhenoCam, FLUXNET). Ben Ruddell: Ecology of Complex & Coupled Natural-Human Systems, including cities, Food-Energy-Water (http://fewsion.us), networks, critical infrastructure, health, sustainability, and resilience. Richard Rushforth: Adaptive water management, socio-hydrology, water policy. Temuulen “Teki” Sankey: Satellite and airborne remote sensing, lidar and spectral data fusion, UAV lidar and hyperspectral imaging for ecological and environmental sciences including vegetation, soil, and snow dynamics and modelling. Other research opportunities are available with our affiliated faculty: Daniel Buscombe: Geoinformatics, hydrodynamics, sediment dynamics, machine learning, acoustic remote sensing. Yiqi Luo: Analytical ecological modeling, ecophysiological processes, carbon sequestration. Nick McKay: Climate science, paleoclimate, data analysis, data synthesis.

Flagstaff offers an ideal, scenic environment for living and learning. With a four-season climate, amazing landscapes, and ample sunshine, you’ll discover outdoor adventures unlike anywhere else in the United States—find out more about NAU and Flagstaff at https://ecoinfo.nau.edu/#Flagstaff. Assistantship benefits include stipends, full tuition waiver, health insurance, and research support. Candidates should explore the SICCS website (https://ecoinfo.nau.edu/) and contact the professor whose interests align most closely with information on their background, research interests, and qualifications, as well as a current resume.

Formal applications to our programs can be submitted online at http://bit.ly/siccsapply . Applications for our PhD program are due on January 1. Applications received early may be considered for a prestigious NAU Presidential Fellowship, which provides an increased stipend and additional funding to support professional development.


This employer is not accepting applications for this position through Mathjobs.Org. Please apply at http://bit.ly/siccsapply.
Postal Mail:
PO Box 5693
Flagstaff, AZ 86011
Web Page: https://ecoinfo.nau.edu/

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