Spatial Analyst I (Agriculture)
Lynxnet an Akima Company, is an agile and innovative government contractor focused on delivering the very best value to every customer. We are also a military-friendly employer, supporting critical initiatives in rapid prototyping and fabrication, program support services, and technical support services across the Department of Defense, Homeland Security and federal civilian agencies. Our personnel enjoy competitive benefits packages and challenging roles in work environments committed to innovation, diversity and opportunity for career growth. As an Alaska Native Corporation (ANC), 100% of our company's profits go back to our 14,300 Iñupiat shareholders that have resided near and above the Arctic Circle for more than 10,000 years. Our business helps support their way of life and contributes to the survival of a culture that has thrived in a challenging environment.
The primary responsibility of the US Geological Survey (USGS) is to assist natural resource and land managers, particularly in the Department of the Interior, by providing them with sound biological information and assistance in applying the information to their needs. The primary means of gathering this information is through the use of scientific methods applied to monitoring resources and conducting experiments. Subsequently, pertinent information must be made available to those who must use it to make important natural resource management decisions.
The research of the Upper Midwest Environmental Sciences Center is directed to conservation issues in the Midwest Region. This focus is partly directed by the work of other agencies such as the U.S. Fish and Wildlife Service (USFWS), the National Park Service (NPS), and the Great Lakes Restoration Initiative of the Environmental Protection Agency (EPA). Thus, research is directed towards issues of species conservation, restoration in the context of invasive species, habitat restoration, and management for conservation on the landscape.
The candidate shall conduct geospatial modelling, data analysis, create tables and figures of results, and write reports. The majority of data analyses will be conducted in a geospatial environment, such as ArcGIS. Limited field work may also be required. The candidate shall also develop geospatial data sets as input data files for the landscape simulation model Landis-II, and evaluate model outcomes, conduct sensitivity analyses, analyze results using appropriate statistics, summarize model results and prepare reports.
Develop and examine input data layers for forest simulation modelling
The general work objective is to investigate the impacts of ungulate browsing on forest succession in boreal landscape, along with interactive effects of browsing and forest management and climate change, using the landscape simulation model LANDIS-II.
Prepare input geospatial data sets such as vegetation communities, climate and soil regions
Process model inputs, reclassify data layers
Evaluate model inputs against other geospatial data layers, such as landsat data.
Conduct geospatial analysis of simulation model outputs
Summarize spatial outputs in tables and figures
Evaluate model outputs against other geospatial data layers, such as landsat data.
Conduct sensitivity analyses of model parameter settings.
Analyze data and present results to collaborators
Conduct statistical analyses of model outputs to compare and contrast different scenarios of ungulate browsing, forest management, and climate change.
Develop tables and figures
Collate results and present periodically to research collaborators
Lead preparation of manuscripts for submission to peer-reviewed journals
Work is performed in an office, laboratory, and/or in the field. Temperature and weather extremes may be encountered in the performance of the outdoor work. Field and laboratory duties may require the use of special protective gear. Field work may be conducted in a boat and require moderate to heavy lifting. The office work is sedentary. Some standing, walking, bending, and occasionally carrying items such as backpacks, totes and equipment are required. Field work may require working on uneven, rough, or slippery surfaces that requires a high degree of coordination and agility.
Some travel to field sites may be required, occurring during the summer months and consist of 1 to 2 weeklong trips.
Required experience in geospatial modelling, data analysis, developing and manipulating geospatial data layers, and writing scientific papers.
Preferred experience using ArcGIS, coding in python and/or C#, use of remotely collected data (e.g., landsat), and forest landscape models (Landis-II).
Ability to keep detailed records on all activities in accordance with Center record keeping policies and Good Scientific Practices.
Must be able to work independently, as well as encounter routine interaction with USGS scientists and collaborators for the purpose of scheduling and completing studies and data analysis and interpretation.
Master's degree in related disciplines appropriate to the position
0-2 years of experience
The duties and responsibilities listed in this job description generally cover the nature and level of work being performed by individuals assigned to this position. This is not intended to be a complete list of all duties, responsibilities, and skills required. Subject to the terms of an applicable collective bargaining agreement, the company management reserves the right to modify, add, or remove duties and to assign other duties as may be necessary. We wish to thank all applicants for their interest and effort in applying for the position; however, only candidates selected for interviews will be contacted.
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