Responsibilities: Contribute to JRN-LTER and global understanding of dryland vegetation dynamics, state- change and resilience using process-based population and community models. The project will draw inspiration from earlier dryland models, adding critical new processes relating to spatial connectivity for wind, water, propagules and herbivores, driving spatial and temporal heterogeneity in landscape-scale dryland vegetation dynamics. The post-doctoral fellow will lead model development and collaborate on analysis and publication of results, new proposals and scientific/community outreach. We seek candidates with interests in ecosystem modeling, using low-dimensional point and spatially interactive models, for improved ecological inference in drylands.
Anticipated Start Date: November 1, 2022 – February 1, 2023
To apply: email the following information (subject line: “Jornada Modeling Postdoc”) as a single PDF file to msoss@nmsu.edu: 1) a cover letter outlining your research interests and prior experience, 2) a detailed CV, and 3) contact information for 3 academic / professional referees. Prospective candidates are encouraged to review the JRN-LTER website (https://lter.jornada.nmsu.edu/) and contact Dr. Niall Hanan (nhanan@nmsu.edu) to discuss the potential contributions of the successful applicant. NMSU postdoc salaries and benefits are nationally competitive, while the cost of living in Las Cruces, New Mexico is relatively low. Support for travel for fieldwork, conferences and professional development is available. The position is available immediately for one year, with annual renewal possible for a second year subject to satisfactory progress and for additional years depending on availability of funding. Review of applications will begin immediately and continue until the position is filled.
New Mexico State University is a Hispanic Serving Institution (HSI), an Affirmative Action/Equal Opportunity employer and values equality of opportunity, human dignity, and diversity. We strongly encourage members of marginalized and under-represented groups to apply.
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