We are seeking a postdoctoral researcher to analyze spatial data to test hypotheses and identify patterns in fish distributions for species of conservation need across river basins in Texas. The researcher will use this information for conservation planning to identify priority watersheds within a network of rivers designated as Native Fish Conservation Areas. These conservation networks are a primary tool in multi-species conservation and management planning to guide long-term efforts. The individual will work closely with collaborators at Texas Tech University, Texas Parks and Wildlife Department, and U.S. Fish and Wildlife Service. The position is fully funded for two years.
1) Lead a project quantifying variation in spatial distributions of fish species and evaluate the relative roles of environmental factors influencing species occurrence
2) Evaluate how conservation objectives affect geographic area prioritization to support management plans for multi-species representation
3) Coordinate the use of supporting datasets and research products with conservation stakeholders
4) Specific responsibilities: Collect, synthesize and manage available datasets, conduct species and habitat data analysis and data visualization, assist with writing project reports, write manuscripts for submission to peer-reviewed journals
Qualifications: We are seeking a PhD with expertise in Ecology, Biology, Natural Resources, Fisheries Science or related field. Applicants should demonstrate experience with Geographic Information Systems (GIS), experience with R or Python for statistical analysis and modeling of distributions, abundance, and/or species richness. A strong work ethic and ability to collaborate and communicate effectively, a proven ability to present research and publish in reputable peer-reviewed journals.
Diversity, equity, inclusion, and justice are vital to our mission in the Cooperative Research Units. We are dedicated to building a culture of inclusivity and respect through graduate education, research, and technical assistance. We oppose discrimination and racism in all of their forms and embrace diversity as a source of strength, ingenuity, and inspiration. We also acknowledge, with respect, that the lands and waters on which we perform research and teaching are the traditional and ancestral homelands of indigenous Nations and peoples. The Texas Tech University system is an EEO/AA employer.
To apply: Submit a cover letter, CV, and contact information for three references, through https://www.texastech.edu/careers/, requisiton number: 26433BR. Direct link:
https://sjobs.brassring.com/TGnewUI/Search/Home/Home?partnerid=25898&siteid=5635#jobDetails=673475_5635. For questions contact Dr. Jane Rogosch P: 806-834-8414; E: firstname.lastname@example.org; W: https://www1.usgs.gov/coopunits/unit/Texas