Assistant Professor, Quantitative Ecology: Connecticut
- University of Connecticut
- Location: Storrs Mansfield, Connecticut
- Category: Faculty-Agriculture-Environmental Science, Ecology & Forestry
- Posting Date: 11/05/2021
- Application Deadline: Open until filled
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- University of Connecticut
- Storrs, Connecticut
- Job Category
- Faculty Appointments
- Salary will be commensurate with qualifications and experience.
- Last Date to Apply
- The Department of Ecology and Evolutionary Biology at the University of Connecticut (UConn) is pleased to invite applications for a tenure-track faculty position in Quantitative Ecology at the Assistant Professor level. The Department seeks a research scientist who applies and develops innovative quantitative approaches to advance the empirical or theoretical understanding of fundamental ecological questions. We are interested in candidates who understand and predict ecological dynamics and patterns by applying and developing cutting-edge statistics or metrics, writing statistical software, deriving and testing mathematical theory, applying analytical, numerical, or simulation approaches, or addressing the challenges of working with “Big Data”. We are particularly interested in researchers who can address questions that operate across multiple spatial or temporal hierarchical scales and who apply both mechanistic and statistical approaches to their science. This position complements Departmental strengths in ecology, evolution, systematics, organismal biology, and conservation biology. The Department offers a highly collaborative environment at a leading public research university that is committed to fostering a diverse and inclusive academic community. More information about the Department can be found at http://www.eeb.uconn.edu. In addition, the University is embarking on an endeavor to strengthen our ability to analyze big data that will create many additional opportunities for the successful candidate. The successful candidate will be expected to (1) supervise an independent research program that will attract extramural funding, provide research training for graduate and undergraduate students, and offer professional service to the Department and University. (2) demonstrate a commitment to effective instruction at the undergraduate and graduate levels, including teaching a graduate-level course on data analysis and development of innovative courses, and mentoring of students in research, outreach, and professional development; and (3) broaden participation of members of underrepresented groups, engage diverse groups through research, teaching, and public engagement, and exhibit skill in using pedagogical techniques designed to meet the needs of individuals with diverse backgrounds, learning styles, and intellectual interests. For complete job announcement and application procedures, please visit: https://academicjobsonline.org/ajo/jobs/20208
- MINIMUM QUALIFICATIONS - A Ph.D. or equivalent in ecology, biology, biostatistics, or a related field by time of appointment. Equivalent foreign degrees are acceptable; - Two peer-reviewed publications in quantitative ecology; - Demonstrated application or development of quantitative methods in ecology; - Demonstrated commitment to promoting diversity and inclusion through research, teaching, and/or public engagement via past actions or a detailed plan for future work. PREFERRED QUALIFICATIONS - Potential to establish a nationally recognized research program that makes conceptual advances in ecology based on empirical research; - Demonstrable ability to develop novel statistical approaches to address critical ecological questions; - Research program that complements the Department’s strengths; - Strong record of extramural fellowships or grants; - Evidence of or potential for excellence in teaching and mentoring; - Relevant postdoctoral experience; - Commitment to and plan for fostering and supporting diversity, inclusion, and equity in the Department and University. Application details here: https://academicjobsonline.org/ajo/jobs/20208
- Contact Person
- For questions about the application system, email Nick Boston (email@example.com) and for questions directly related to the search, email Mark Urban (firstname.lastname@example.org).
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