Water Resource Science: The University of Minnesota is seeking a highly motivated Post-Doctoral Associate to work on predicting occurrences of aquatic invasive species within the Upper Mississippi River Basin (UMRB). The successful candidate will work as part of a collaborative team to evaluate several questions regarding which predictors work best in modeling the presence of AIS in the UMRB.
Designation: Post-Doctoral Associate
Research Area: Water Resource Science and Fisheries, Wildlife, and Conservation Biology
Location: St. Paul, Minnesota
Duration: 2 years
Supervisors: Nick Phelps and Lynn Waterhouse
Eligibility/Qualification:
- Ph.D. in Fisheries, Wildlife Biology, Ecology, Limnology, Mathematics, Statistics, or a related field.
- Experience using boosted regression trees and analysis of large datasets.
- Strong work ethic, good communication skills, attention to detail, interest in fisheries science with management implications, and the ability to work both collaboratively and independently.
- Experience in quantitative modeling (using R), database management, and data visualization.
- Candidates may be immediate post-degree or returning for additional training, updating, and/or retooling.
| Qualification | Description |
|---|---|
| Ph.D. | In Fisheries, Wildlife Biology, Ecology, Limnology, Mathematics, Statistics, or a related field. |
| Experience | Using boosted regression trees and analysis of large datasets. |
| Skills | Strong work ethic, good communication skills, attention to detail, interest in fisheries science with management implications, and the ability to work both collaboratively and independently. |
| Experience | In quantitative modeling (using R), database management, and data visualization. |
Preferred Qualifications:
- Experience working with large-scale environmental (biological, chemical, physical, and geographic) data.
- Experience applying, fitting, and analyzing results from boosted regression trees and species distribution models.
- Experience leading or co-teaching quantitative workshops.
- Experience or interest in science communication.
| Qualification | Description |
|---|---|
| Experience | Working with large-scale environmental (biological, chemical, physical, and geographic) data. |
| Experience | Applying, fitting, and analyzing results from boosted regression trees and species distribution models. |
| Experience | Leading or co-teaching quantitative workshops. |
| Experience or interest | In science communication. |
Job Description: The Post-Doctoral Associate will be responsible for collating and organizing data from state, federal, and tribal agencies to support synthesis and data analyses. They will meet with collaborators and data keepers, apply the modeling frameworks to the data, and conduct statistical analyses. They will lead data analysis, visualization, publishing manuscripts, and presenting/communicating results to a wide range of audiences. The successful candidate will assist with quantitative workshops, contribute to report writing and budget management, and work with and provide mentoring to a graduate student on the project.
How to Apply: Candidates should apply using the following application links:
- Internal: https://hrmyuumn.edu/jobs/in/355376
- External: https://hr.myw.umn.edu/jobs/ext/355376
Last Date for Apply: Until Position Filled
