Postdoctoral Scholar In Modeling Climate Impacts On Conifer Reproduction
University of California - Merced | |
United States, California, Merced | |
5200 Lake Road (Show on map) | |
Nov 17, 2024 | |
Position overview
Position title: Postdoctoral Scholar Salary range:
See Table 23 for the salary range for this position. A reasonable estimate for this position is $66,727 - $80,034. Percent time:
100% Anticipated start:
Start date is negotiable between December 10, 2024 and January 20, 2024. Position duration:
2 year appointment Application Window Open date: October 23, 2024 Next review date: Tuesday, Nov 26, 2024 at 11:59pm (Pacific Time) Final date: Tuesday, Dec 31, 2024 at 11:59pm (Pacific Time) Position description A postdoc position researching climate impacts on conifer reproduction is available at UC Merced in the Moran lab . Our research focuses on the ecological and evolutionary responses of forests to climate change. This position will make use of the Mast Inference and Forecasting (Mastif) model , and the associated global network of forest monitoring plots. This network of research collaborations has already yielded multiple high-impact papers*. The Moran lab is currently participating in an NSF-funded grant^ that aims to build on this work by linking data on seed production to consumer/disperser activity and seedling growth and establishment, and a UC climate change research initiative for a project^^ that, among other things, aims to use this model framework to better target seed collection efforts for reforestation. Duties of the postdoc would include:
*Prior papers include:
^ Collaborative research: Continent-wide forest recruitment change: the interactions between climate, habitat, and consumers (NSF, DEB-2211767) Funding sources: Qualifications Basic qualifications
Candidates must have completed a PhD in biology, ecology, mathematical modeling, or similar discipline, and have substantial experience with R. The candidate must be creative, self-disciplined, and motivated (as evidenced by reference letters, prior research productivity, and any research questions suggested in communication with PI). Preferred qualifications
Qualifications that would be desirable but not strictly required include experience with Bayesian modeling, coding for Shiny apps, and/or fieldwork experience. Application Requirements Document requirements
Reference requirements
Apply link: https://aprecruit.ucmerced.edu/JPF01828 Help contact: snspersonnel@ucmerced.edu About UC Merced The University of California, Merced, is the newest of the University of California system's 10 campuses. With over 9,000 undergraduate and graduate students (https://cie.ucmerced.edu/analytics-hub/student-statistics), UC Merced is committed to interdisciplinary excellence in research and teaching as well as to diversity, equity and inclusion. Ranked as one of the best public universities in the nation by U.S. News and World Report, UC Merced provides outstanding educational opportunities to highly qualified students from the heart of California, the nation, and abroad. The campus has special connections to nearby Yosemite National Park; is on the cutting edge of sustainability in construction and design; and supports the economic development of Central California. The Merced 2020 Project doubled the physical capacity of the campus, and enhanced academic distinction, student success, and research excellence (https://merced2020.ucmerced.edu/). The University of California, Merced is an Equal Opportunity/Affirmative Action Employer advancing inclusive excellence. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected categories covered by the UC nondiscrimination policy. Please refer to the University of California's Affirmative Action Policy and the University of California's Anti-Discrimination Policy. As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements. This includes the University of California Policy on Vaccination Programs: https://policy.ucop.edu/doc/5000695/VaccinationProgramsPolicy. Job location Merced, CA
|