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- Denver, CO: $79,799 (Step 01) to $103,739 (Step 10)
- Reston, VA: $81,548 (Step 01) to $106,012 (Step 10)
NOTE: First time hires to the Federal Government are typically hired at the Step 01.Learn more about this agency
There is one vacancy; however, this announcement may be used to fill additional vacancies if they become available.
Mendenhall Research Fellowship - Research Opportunity # 17-26 Multi-Resource Analysis - Integrating Energy, Mineral, and other Natural Resource Assessments
An interdisciplinary USGS team in coordination with other bureaus in the Department of the Interior, other federal agencies, and with stakeholders, has initiated a research agenda to develop methods and tools for Multi-Resource Analysis (MRA). MRA is a next-generation suite of analytical products that can be used to inform land use and resource management decisions by integrating scientific information about natural resources and explicitly recognizing changes to those resources caused by natural events and human decisions, including energy and minerals development decisions. MRA focuses on the effects of change on multiple natural resources, interrelationships among natural resources, and the economic and societal consequences of these changes to humans. The USGS has a growing body of work on MRA and related topics (Jenni et al., 2018; Haines et al., 2013; Martinez et al, in review; Diffendorfer et al., 2017). The focus of this Research Opportunity is to further advance MRA via integration of energy, mineral, and other natural resource assessments. The Mendenhall Fellow’s research may be centered on any of the physical, economic, or decision science aspects of the MRA. To that end, we solicit proposals touching on one or more of following research areas which are the primary components of an MRA described in Jenni et al. 2018.
Natural processes and events and human decisions can change landscapes, their natural resources, and the benefits those resources provide. Resource managers need to make decisions despite significant uncertainty and there is a need for robust techniques that can provide an improved understanding of future conditions that could occur under a set of decision-relevant scenarios.
MRA provides additional information by considering the connection between natural resources and people via economic analyses. Research is needed on methods to evaluate how the biophysical changes modeled under different scenarios affects and is valued by the people who live in the region or rely on the resources.
Proposed Duty Station: Denver CO or Reston, VA
Areas of Ph.D.: Economics, decision science, geosciences, geography, landscape ecology, hydrology or related fields (candidates holding a Ph.D. in other disciplines but with knowledge and skills relevant to the Research Opportunity may be considered).
Qualifications: Applicants must meet one of the following qualifications: Research Economist/Economist, Operations Research Analyst, Research Social Scientist, Research Physical Scientist, Research Geologist, Research Geophysicist, Research Ecologist, Research Geographer
(This type of research is performed by those who have backgrounds for the occupations stated above. However, other titles may be applicable depending on the applicant's background, education, and research proposal. The final classification of the position will be made by the Human Resources Specialist.)
Physical/Environmental Demands: Work is usually performed in an office setting. The work area:
- Normally involves everyday risks or discomforts that require normal safety precautions typical of offices or meeting and training rooms; or
- May involve occasional exposure to a laboratory that involves risks and hazards that require safety precautions.
Occasional travel - Overnight travel of 1 to 5 nights per month may be required.
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This job originated on www.usajobs.gov. For the full announcement and to apply, visit www.usajobs.gov/GetJob/ViewDetails/518797700. Only resumes submitted according to the instructions on the job announcement listed at www.usajobs.gov will be considered.