Deadline: Sat, 12/30/2023 - 12:00pm Employer: Austin State University Job Field: Wildlife Job Type: Full Time Location: Texas Location Detail: Austin, Texas Job Description: Job Description: The Forest Wildlife Ecology and Management team in the Arthur Temple College of Forestry and Agriculture (ATCOFA) at Stephen F. Austin State University, part of the University of Texas System, is seeking to hire a quantitative wildlife ecologist to serve as a postdoctoral researcher. The ideal candidate will be interested in data analysis, data science, and working with large datasets on wildlife species and wildlife communities at multiple ecological scales. The successful candidate must be a self-motivated individual with demonstrated knowledge and experience with analytical software and techniques and be capable of writing manuscripts independently. Opportunities exist for immediate work on current projects and manuscripts, as well as working with graduate students (M.S. and Ph.D. levels). Additional research opportunities will build off datasets collected as part of ongoing long-term ecological research and monitoring efforts. The successful applicant will receive the full-time employment with salary $60,000 per year. The postdoc will work directly with three ATCOFA faculty members: Drs. Cord Eversole, Jessica Glasscock, and Reuber Antoniazzi. Continuance of this position is contingent upon available funding. This position is a two-year initial appointment with the potential of 5 years based on performance. Qualifications: · Possess a Doctoral degree in wildlife science, ecology, wildlife biology, conservation biology, forestry, or related discipline. · Possess strong organizational and communication skills. · Ability to work independently, and with others in a fast-paced environment and manage small teams of assistants, as well as collaborate with other senior and junior team members (i.e., co-supervise graduate students). · Ability to design and supervise the implementation of research activities while applying best practices in data management. · Good publication record for career stage. · Experience with R, SAS, Systems Dynamics Software (Vensim, Stella, etc), and ArcGIS. · Advanced analytical skills, such as, univariate, multivariate, Bayesian, spatial statistics, occupancy models, mark-recapture, and community analyses. · Ability to visualize and interpret results and experience writing manuscripts. How to Apply: For full consideration, application materials must be submitted online at: https://careers.sfasu.edu/postings/10839. Interested applicants must submit (1) a cover letter outlining research interests and experience, (2) a research statement highlighting the three most relevant publications, (3) a CV, (4) transcripts from all degree awarding institutions, and (5) the name and contact of three references. Review of applications will begin immediately (October 2023) and continue until a suitable candidate is found. The position will start as soon as possible, negotiable with the successful candidate. Any offer of employment is contingent on the university’s verification of credentials and other information required by law and/or university policies, including but not limited to a criminal background check. For questions or inquiries please contact: Cord.Eversole@sfasu.edu Jessica.Glasscock@sfasu.edu Reuber.Antoniazzi@sfasu.edu
