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Assistant Professor in Applied Quantitative Ecology
Job Description
Posting Details
Position Information
| Job Title | Assistant Professor in Applied Quantitative Ecology |
|---|---|
| Job Description Summary, Duties and Responsibilities, Required Qualifications and Preferred Qualifications | Search will remain open until position is filled. First consideration will be given to applications received by 15 October 2023. Applications received after 15 October 2023 may not be given full consideration. _______________________________________________________________________________________________________ The Department of Natural Resources Science (NRS) in the College of the Environment and Life Sciences (CELS) at the University of Rhode Island (URI) invites applications for an academic year, tenure-track Assistant Professor specializing in applied quantitative ecology. Appointment is sought for the 2024 Spring or Fall semester. URI is the State of Rhode Island’s flagship land/sea grant research university located in Kingston, Rhode Island— a beautiful seaside community that is well connected by car and rail, lying 40 minutes from Providence, an hour from Boston and 3 hours from New York City. Southern Rhode Island is rural, with numerous wildlife refuges, state management areas and local land trusts where research can be conducted yet is reasonably close to possible urban sites. NRS has 18 full-time faculty members, over 300 undergraduates majoring in either Wildlife and Conservation Biology or Environmental Science and Management, and numerous graduate students majoring in either M.E.S.M (a non-thesis professional M.S. program in environmental science and management), or thesis-based research in the Biological and Environmental Sciences for M.S. and Ph.D. students. We invite individuals with a strong commitment to teaching, research, experiential learning, and mentorship at the undergraduate and graduate levels. The successful candidate will generate an internationally recognized program of research and scholarship investigating the applied quantitative ecology of terrestrial vertebrates. The candidate is expected to contribute to undergraduate and graduate teaching and experiential learning that incorporates contemporary statistical approaches and quantitative technological advances to investigate the applied ecology and conservation biology of terrestrial vertebrates. Priority will be given to candidates who show a commitment to broadening participation of members of underrepresented groups in science through research, pedagogical practices, and public engagement, and who would contribute to University of Rhode Island’s goals of increasing diversity, equity and inclusion. BASIC FUNCTION: Teach undergraduate and graduate courses, develop an externally funded research program, and support public engagement. DUTIES AND RESPONSIBILITIES: Establish a competitive, extramural-funded research program Publish original research in peer-reviewed academic journals with an international audience and other significant research outlets. Teach one undergraduate course in biometrics, one graduate-level course in quantitative ecology, and other courses that will enhance both undergraduate and graduate degree programs in the Department of Natural Resources Science (NRS), College of the Environment and Life Sciences (CELS). Provide advising, training, and research mentorship to undergraduates majoring in Wildlife and Conservation Biology and graduate students in the Biological and Environmental Sciences, which is an interdisciplinary, interdepartmental postgraduate degree program. Support the University’s commitment to fostering an inclusive culture in our learning and working environments. Engage in service activities and governance within the Department, College, University, and the applied quantitative ecology profession. Provide public communication, outreach, and/or engagement relevant to the focus of the teaching and research program. Perform other duties as required. LICENSES, TOOLS AND EQUIPMENT: Personal computers, printer, word processing, database management, and spreadsheet software. ENVIRONMENTAL CONDITIONS: This position is not substantially exposed to adverse environmental conditions. QUALIFICATIONS: Required qualifications: 1. A Ph.D. or D.Phil. in ecology, wildlife management, conservation biology, forestry or other closely related fields (e.g., biological sciences, conservation science, natural resources science, statistical ecology) at time of application. 2. Demonstrated record of scholarly achievement as shown by (a) publications related to quantitative ecology of terrestrial vertebrates in peer-reviewed journals, book chapters, or books, and (b) presentations at scientific meetings. 3. Demonstrated ability to develop an independent research program as shown, for example, by research statement, lead authorship on peer-reviewed publications, presentation at national or international conferences, funded grants or awards, or other research outputs. 4. Demonstrated ability to teach quantitative courses at the undergraduate and/or graduate level. 5. Demonstrated commitment to Justice, Equity, Diversity, and Inclusion. 6. Demonstrated proficiency in written communication skills. 7. Demonstrated proficiency in verbal communication skills. 8. Demonstrated commitment to participate in professional service and outreach as shown by participation in committees, organizations, or other activity. 9. Demonstrated experience working with members of diverse and underrepresented groups. Preferred qualifications for this position (strongest consideration will be given to candidates who can demonstrate this additional expertise and experience): 1. Demonstrated expertise in using contemporary statistical approaches and quantitative technological advances to investigate the applied ecology and conservation biology of terrestrial vertebrates. 2. At least one year of postdoctoral research experience at time of application. 3. Demonstrated experience in interdisciplinary collaborations. 4. Demonstrated success obtaining funding through competitive grant programs (including graduate or postdoctoral fellowships and grants). 5. Demonstrated experience as the lead instructor of quantitative course(s) at the undergraduate and/or graduate level. 6. Demonstrated evidence of successful mentoring of undergraduate and/or graduate students. 7. Demonstrated expertise making research findings accessible to a broad audience through outreach, social media, and other mixed media outlets. _______________________________________________________________________________________________________ ALL REQUIREMENTS ARE SUBJECT TO POSSIBLE MODIFICATION TO REASONABLY ACCOMMODATE INDIVIDUALS WITH DISABILITIES. |
| Union | AAUP - American Assoc of Univ Professors |
| Status | Academic Year, Full-time, Tenure-track, Permanent |
| End Date of Restriction or Limitation |
Department Information
| Department | Natural Resources Science |
|---|---|
| Contact(s) | Please note: Job applications must be submitted directly online only at: (https://jobs.uri.edu) |
| Contact Email | |
| Campus Location | Kingston |
| Grant Funded | No |
| Extension Contingent on Funding Date | |
| Special Instructions to Applicants | Please attach the following 5 (PDF) documents to your online Faculty Employment Application. A complete application package must contain the following documents: (#1) Cover letter describing qualifications for position (as one complete document). (#2) Curriculum Vitae, including information pertaining to the required and preferred qualifications for this position, and the names and contact information for three professional references (as one complete document). (#3) Statement of research interests and future plans. (#4) Statement of teaching philosophy and interests. (#5) Other Document – PDFs of up to three published or in-press papers (as one complete document). |
Posting Information
| Position Number | 106225 |
|---|---|
| Posting Number | F00382 |
| Posting Date | 09/13/2023 |
| Closing Date | |
| Open Until Filled | Yes |
| Quicklink for Posting | https://jobs.uri.edu/postings/12210 |
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