Posting Number 201700904AP
Desired Start Date 05/21/2018
To ensure full consideration, applications must be received by 11:59pm (MT) on 12/15/2017
The Fish, Wildlife and Conservation Biology Department expands the frontiers of knowledge through our broad-based expertise in applied ecology, quantitative methods, and human dimensions in the conservation and management of fish and wildlife.
We teach students to think critically about environmental issues, and become ecologically literate citizens with the training to be successful in graduate school and in careers with natural resources agencies, firms, and non-government organizations.
Our outreach efforts contribute significantly to life-long learning by assisting individuals and agencies to solve complex environmental problems and to be good stewards of our nation’s natural resources.
The Acoustic Ecologist Postdoctoral Researcher will be responsible for designing, collecting, analyzing and synthesizing data through peer-reviewed publication on the impacts of anthropogenic noise on wildlife and natural systems.
The successful candidate will work in collaboration with Colorado State University (CSU) and National Park Service (NPS) scientists.
The direction of this research position will be crafted to take advantage of the applicant’s expertise, the capabilities of the CSU and NPS science team, and existing NPS datasets. Possible research directions include:
1. Integrate camera trap, GPS tracking, acoustic, and light data to gain understanding of the influence sound and light on species occupancy and behavior
2. Perform a meta-analysis of existing NSNSD datasets to understand bioacoustic conditions in park units, the effects of noise on wildlife, and means to forecast future conditions
3. Investigate temporal responses of wildlife to noise pollution to understand behavioral responses to disturbance and time courses to recovery
4. Develop threat maps of noise pollution for integration into conservation planning tools for mitigating human disturbances
Required Job Qualifications
1. Ph.D. degree in a pertinent biological, physical, or computer science field by start date of position (estimated to be May 2018).
2. Strong publication record.
3. Demonstrated competency in statistical modeling.
4. Must have a valid driver’s license or the ability to obtain a driver’s license or access to a licensed driver by the employment start date.
Preferred Job Qualifications
1. Strong publication record in the natural sciences.
2. Experience or education in acoustics.
3. Experience in statistical modeling and analyzing large datasets.
4. Experience in geospatial analysis.
5. Demonstrated experience working in collaborative research settings.
Reflecting departmental and institutional values, candidates are expected to have the ability to advance the Department’s commitment to diversity and inclusion.
Special Instructions to Applicants
Application materials consist of the following:
Names and contact information for three professional references.
References will not be contacted without prior notification of candidates.