[ECOLOG-L] Postdoctoral Fellow in Ecosystem Modeling
Postdoctoral Fellow in Ecosystem Modeling, Boise State University We are seeking a qualified and enthusiastic scientist-colleague for a postdoctoral position in dynamic ecosystem modeling. The position is funded through grants from the NASA Terrestrial Ecology and EPSCoR programs and the Joint Fire Science Program. Core activities of this postdoctoral position include: -Using existing field, lidar, and hyperspectral datasets at a number of study areas in the Great Basin of the Western US to parameterize, initialize, calibrate, and verify the Ecosystem Demography (ED) model, and -Parameterizing and exploring the impacts of fire mitigation strategies (e.g., mowing, green strips) on the long-term distribution, abundance, and coexistence of grasses, forbs, and shrubs in these ecosystems. The successful candidate is expected to work collaboratively with and benefit from the expertise of a number of research scientists, postdocs, and graduate students with expertise in land modeling, remote sensing of terrestrial ecosystems and hydrology, and land management and restoration ecology. These potential colleagues are currently housed within the Lab for Ecohydrology and Alternative Futuring (LEAF), the Boise Center Aerospace Laboratory (BCAL), and the USGS Forest and Rangeland Ecosystem Science Center (FRESC). Boise State is Idaho’s largest university, enrolls the largest number of graduate students in Idaho, and is a metropolitan research university of distinction. For more information and how to apply, visit: http://bcal.boisestate.edu/blog/postdoctoral-fellow-in-ecosystem-modeling-at-leaf-and-bcal/
[ECOLOG-L] Postdoctoral Fellow in Ecosystem Modeling, Boise State University
Position Summary Professors Alejandro (Lejo) Flores and Nancy Glenn in the Geosciences Department at Boise State University, are seeking a qualified and enthusiastic scientist-colleague for a postdoctoral position in dynamic ecosystem modeling of sagebrush-steppe ecosystems. The position is funded through grants from the NASA Terrestrial Ecology and EPSCoR programs and the Joint Fire Science Program. Core activities of this postdoctoral position include: (1) Using existing field, lidar, and hyperspectral datasets at a number of study areas in the Great Basin of the Western US to parameterize, initialize, calibrate, and verify the Ecosystem Demography (ED) model, and (2) Parameterizing and exploring the impacts of fire mitigation strategies (e.g., mowing, green strips) on the long-term distribution, abundance, and coexistence of grasses, forbs, and shrubs in these ecosystems. The successful candidate is expected to work collaboratively with and benefit from the expertise of a number of research scientists, postdocs, and graduate students with expertise in land modeling, remote sensing of terrestrial ecosystems and hydrology, and land management and restoration ecology. These potential colleagues are currently housed within the Lab for Ecohydrology and Alternative Futuring (LEAF), the Boise Center Aerospace Laboratory (BCAL), and the USGS Forest and Rangeland Ecosystem Science Center (FRESC). Co-advisors Glenn and Flores are enthusiastic about and committed to providing mentorship and training to support the professional development of the successful candidate. We particularly welcome applications from colleagues interested in leveraging the science products developed during the postdoc to advance their independent research agenda and pursue collaborative research in collaboration with the research advisors. Minimum Qualifications • PhD in Earth System Science, Ecology, Applied Math, Physics or related disciplines • Strong quantitative background and experience in modeling and statistics • Demonstrated ability to design, conduct, and publish research related to ecosystem modeling • Excellent written and oral communication skills • Demonstrated communication and interpersonal skills necessary for working in a multidisciplinary research team • Programming experience Preferred Qualifications • Experience with ED or other vegetation dynamics or land models • Experience with lidar and hyperspectral remote sensing • Expertise with scientific programming languages for data analysis such as MATLAB, Python, or R Application Applications are now being accepted and the position will close when filled. The position is a yearly appointment with potential funding and renewal for up to 2-3 years. Applicants should send as one compiled document: 1) CV; 2) one-page statement of research interests; 3) up to three publications and 4) contact information for three references. Please send materials to BOTH Lejo Flores (lejoflo...@boisestate.edu) AND Nancy Glenn, nancygl...@boisestate.edu. Additional Information University: http://www.boisestate.edu/ City of Boise: http://www.boisechamber.org/ LEAF: http://leaf.boisestate.edu/ BCAL: http://bcal.boisestate.edu/ http://fresc.usgs.gov/
[ECOLOG-L] Postdoctoral Fellow in Ecosystem Modeling, Boise State University
Position Summary Boise State University, powered by creativity and innovation, stands uniquely positioned in the Northwest as a metropolitan research university of distinction. The Lab for Ecohydrology and Alternative Futuring (LEAF) and Boise Center Aerospace Laboratory (BCAL) have an exciting opportunity for a Postdoctoral Fellow in Ecosystem Modeling. We seek a highly motivated individual with doctoral training in Biophysical Modeling and an interest in integrating management actions into ecosystem models. The Postdoctoral Fellow will have the opportunity to interface with the new Human-Environment Systems Initiative in the College of Innovation and Design (CID) at Boise State University, USGS Forest and Rangeland Ecosystem Science Center (FRESC), and other collaborators. Funding from NASA and the Joint Fire Science Program supports the position. The primary goals of these projects are to apply dynamic vegetation models in semiarid and water-limited systems to answer the following science questions: How will climate change alter vegetation communities and structure? How will fire regimes and fuels change in the Intermountain West? What uncertainty levels exist in these predictions? How do fuel reductions and seeding treatments potentially affect future vegetation communities? The Postdoctoral Fellow will pursue advances in fundamental understanding of terrestrial ecosystems through model-data synthesis activities making use of tools and data such as the ecosystem demography models (e.g. ED, ED2), remotely sensed data at both fine (lidar, hyperspectral) and coarse (global satellite) scales, field experimental plot data, a long-term, high-resolution regional hydrometeorological reanalysis dataset produced with the Weather and Research Forecasting (WRF) model, and data fusion and data assimilation methods. Minimum Qualifications • PhD in Earth System Science, Ecology, Applied Math, Physics or related disciplines • Strong quantitative background and experience in modeling and statistics • Demonstrated ability to design, conduct, and publish research related to ecosystem modeling • Excellent written and oral communication skills • Demonstrated communication and interpersonal skills necessary for working in a multidisciplinary research team • Programming experience Preferred Qualifications • Experience with ED or other vegetation dynamics or land models • Experience with lidar and hyperspectral remote sensing • Expertise with scientific programming languages for data analysis such as MATLAB, Python, or R Application The position begins December 1, 2015. The position is a yearly appointment with potential funding and renewal for up to 2 or 3 years. Applicants should send as one compiled document: 1) CV; 2) one-page statement of research interests; 3) up to three publications and 4) contact information for three references. Please send to Nancy Glenn, nancygl...@boisestate.edu. Additional Information University: http://www.boisestate.edu/ City of Boise: http://www.boisechamber.org/ LEAF: http://leaf.boisestate.edu/ BCAL: http://bcal.boisestate.edu/ HES: hes.boisestate.edu CID: http://cid.boisestate.edu/ http://fresc.usgs.gov/
