The postdoc will join a large collaborative NSF project: A macrosystems ecology framework for continental-scale prediction and understanding of lakes(www.lagoslakes.org). The overarching landscape-limnology research topics of this project include understanding continental-scale drivers of lake nutrients and carbon, predicting continental-scale pools of lake nutrients, and identifying the role that novelty in ecological context plays in continental-scale predictions. We are doing so by building LAGOS-US, a multi-scaled database system and a set of tools to study lake water quality at macroscales.
We are especially interested in recruiting someone with interests in better understanding broad-scale patterns and drivers of reservoirs, and how those compare with natural lakes and/or someone with interests in leveraging the Google Earth Engine Platform to integrate remotely sensed data of all conterminous lakes into LAGOS-US. This position includes all aspects of data-intensive and team-based research both as lead author and as co-author (e.g., question formation; acquisition of existing data and authoring metadata; data visualization, analysis, and interpretation; literature review; manuscript writing; publishing code, data, and manuscripts; and grant proposal writing). The successful candidate will have the opportunity to supervise students or on-call staff to aid in this research effort. They will be expected to acquire or process existing datasets and author metadata to accompany existing datasets; assist in LAGOS-US database development and management; and assist in QAQC procedures of LAGOS-US.
Desired characteristics: The ability to work both independently and collaboratively in a team environment is essential. Demonstrated excellent analytical, problem solving and research skills including oral and written communication and interpersonal skills, the ability to write scientific papers; knowledge of open science and data-intensive science tools (e.g., R, Github, GIS, Google Earth Engine). The ideal candidate will communicate and interact with students (graduate and undergraduate) and collaborators to exchange information; solve problems; acquire data and document metadata; coordinate research activities; and facilitate administrative and operational needs.
Doctorate in ecology, limnology, landscape ecology, geography, or a related discipline with strong quantitative emphasis (statistics and/or computer science).
The ability to work both independently and collaboratively in a team environment is essential. Demonstrated excellent analytical, problem solving and research skills including oral and written communication and interpersonal skills, the ability to write scientific papers; knowledge of open science and data-intensive science tools (e.g., R, Github, GIS, Google Earth Engine). The ideal candidate will communicate and interact with students (graduate and undergraduate) and collaborators to exchange information; solve problems; acquire data and document metadata; coordinate research activities; and facilitate administrative and operational needs.
Required Application Materials
To express interest: Please provide 1-2 page cover letter describing your research interests and what you would bring to our research team, a current CV, and the names and contact information for three references.
The Department of Fisheries and Wildlife was established in 1950 with faculty drawn from several different units. Since that time, both the faculty and the issues of importance in fisheries and wildlife have changed significantly. Our Mission, Vision, and Values build on our core strengths and prepare us for continuing change in societal needs, scientific understanding, and educational priorities.
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