Natural resources and environmental related job listings. Includes internships, graduate fellowships, faculty positions and scholarships.
Assistant Professors (3) – Animal Population, Movement and Quantitative Ecology – Utah
The Wildland Resources Department and the Ecology Center at Utah State University invite applications for three full-time, nine-month tenure-track faculty positions in Animal Population Ecology, Movement Ecology, andQuantitative Ecology at the rank of Assistant Professor. The appointments will be 50% research, 40% teaching, and 10% service. Successful candidates will be expected to develop an externally funded research program that achieves an international reputation in their area of expertise. Fundamental to these positions is working across disciplinary and institutional boundaries and collaborating with federal and state agencies. The appointed faculty member will mentor and advise graduate students and post-doctoral researchers, and teach courses in their area of expertise. Review of applications will begin September 11, 2017. Please contact firstname.lastname@example.org if you have questions.
For the animal population ecologist, skills and research areas of particular interest include: Bayesian state-space and integrated population modelling; integral projection modelling; survival estimation; multistate capture-recapture modelling; matrix modelling; mark-recapture techniques; implications of life-history evolution for population ecology including adaptation to climate change; effects of disease, predation, and hunting on population dynamics; etc.
For the movement ecologist, research areas and skills of interest include: dispersal and migration of organisms as individuals and in groups; movement behavior; invasion ecology; disease ecology; population and community ecology; analysis and management of biotelemetry data; habitat choice and resource selection; mark-recapture techniques; etc.
For the quantitative ecologist, techniques of interest include geostatistics of spatio-temporal processes, hierarchical and mixed models, fitting dynamic models to empirical data, and machine learning approaches using data ranging from individual demographic observations to remotely-sensed landscapes.We encourage candidates with experience in any taxonomic group, study system, and level of ecological organization to apply.
To apply, see: http://usu.hiretouch.com/job-details?jobid=2434; http://usu.hiretouch.com/job-details?jobid=2439; http://usu.hiretouch.com/job-details?jobid=2440