Job Type: Student / postdoc
Salary Details: Commensurate with qualifications and experience; see ad for link to table.
Deadline: Aug 31, 2023
A collaborative research team from UC Davis Center for Watershed Sciences and the Department of Wildlife, Fish, and Conservation Biology seeks applicants for a postdoctoral research associate, for one year with the potential for renewal for an additional year. The research is supported by the California Department of Fish and Wildlife (CDFW). The successful candidate will help execute and guide a collaborative data synthesis project aimed at improving drought resiliency in rivers in northern California by understanding the effects of beaver and beaver dam analogs on both the life history of native fishes and stream hydrology. The candidates will have the opportunity to interact extensively with resource biologists at CDFW and a team of researchers using processed-based restoration to improve drought resilience in freshwater ecosystems.
The ideal candidate for the postdoc will have a strong background in stream hydrology and fish ecology. The candidate will be responsible for measuring streamflow and water quality conditions, conducting instream habitat assessments, sampling native fishes, and analyzing otoliths to assess fish growth and life history timing. The candidate will conduct statistical analysis to relate environmental covariates to fish response variables (e.g., growth) with an emphasis on streamflow dynamics and native fish habitat diversity. A primary goal of the project will be to understand how beaver and beaver dam analogs potentially affect drought resiliency and native fish life history. The candidate will prepare at least one peer-reviewed publication and will also have opportunities to explore independent lines of research inquiry. The candidate will be based at UC Davis’s Center for Watershed Sciences.
- Ph.D. in ecology, hydrology, fish ecology, water resources engineering, or a related field.
- Expertise in ecohydrology, fish ecology, and/or hydrology
- Strong communication and organizational skills
- Have experience with ecological data analysis and modeling, especially in R programming language
- Exceptional data management skills and interest in transparent and reproducible science
- A strong publication record or the potential for developing one.
Our team believes in and values the power of diversity, thus applicants from historically underrepresented groups are strongly encouraged to apply.
HOW TO APPLY
Applications will be reviewed as they arrive. The position will remain open until filled. Preferred start date: September 1, 2023. View the position posting for instructions.