The student will work closely with a diverse, interdisciplinary team from multiple institutions on an NSF-funded project to investigate continental patterns of riverine fish invasions. The larger project is interdisciplinary research at the nexus of big data, fish ecology, and conservation. Specific duties will range from developing and working with a large fish database, to applying Bayesian hierarchical models, among many other things using a combination of modeling, field and/or lab-based approaches.
Please email application to Steve Midway (email@example.com) with the subject “Graduate Application.” Applications should be a single, merged PDF including 1) a cover letter describing your interest in the project and career goals, 2) your CV, including at least 3 references, 3) unofficial transcripts, and 4) GRE scores. Informal inquiries are welcome.
• A master’s degree in ecology, biology, fisheries/aquatic science or equivalent
• Demonstrated excellence in written, verbal, and quantitative skills
Ideal candidates will have some combination of experience in:
• Fish ecology
• Invasion ecology
• Statistical analysis using R; hierarchical modeling
• Working with large datasets / database development