Open-Rank Tenure-Track Faculty in Marine Mammal Science

About the Role Open-rank tenure-track position in Marine Mammal Science beginning in August 2026. We seek a collaborative colleague whose expertise falls in one of two areas: research methods, data science, or statistics; or marine mammal science, broadly defined. The successful candidate will play a central role in supporting and expanding our interdisciplinary, research-intensive two-year Master’s program and mentoring graduate students through an active, hands-on research training culture. What You'll Do

• Mentor 4–6 graduate students annually and guide their research in marine mammal science.
• Teach core courses and electives aligned with your expertise; participate in cross-listed courses with undergraduates when appropriate.
• Contribute to the development and expansion of the two-year Master’s program and its research portfolio; foster a culture of individualized mentorship and hands-on training.
• Build on strengths in dolphin cognition, echolocation, manatee acoustics and conservation, and pinniped cognition by expanding into areas such as spatial ecology, GIS, genetics, and other quantitative topics.
• Maintain an active research program with a strong publication record and engage with regional collaborations and long-term data resources (e.g., Sarasota Bay Listening Network) to support integrative and applied research.
• Embrace opportunities to engage undergraduates through collaborative research and occasional cross-listed courses, though there are no mandatory undergraduate teaching requirements. What We're Looking For
• Ph.D. in a field related to marine mammal science or data science by the time of hire, with a demonstrated record of research excellence.
• Ideal candidates will have a strong teaching track record, a commitment to student mentorship, and exceptional communication and collaboration skills.
• All candidates must be legally authorized to work in the United States without requiring immigration sponsorship now or in the future.
• Experience or strong interest in cross-disciplinary data analysis or advanced quantitative methods is welcome, with preferred expertise in spatial ecology, GIS, genetics, or related areas that expand the program’s portfolio.
• No undergraduate teaching requirements, but candidates may engage with undergraduates through collaborative research and cross-listed courses. Nice to Have
• Experience or strong interest in cross-disciplinary data analysis or quantitative methods.
• Expertise in spatial ecology, GIS, genetics, or other areas that broaden research portfolio.
• Enthusiasm for contributing to a dynamic graduate program within a collegial, energetic academic community committed to scientific excellence and student success.