An associate specialist (Master’s level researcher) position in California forest ecology is available at UC Merced in the Moran lab (https://sites.google.com/site/moranplantlab/ ). Our research focuses on the ecological and evolutionary responses of forests to climate change.
Duties of the associate specialist would include: - Assisting with data collection in the field during the summer (measuring trees, counting cones, etc.) and supervising undergraduate field assistants. - Analyzing California tree data, including using the Mastif model (in R) to carry out analyses of tree fecundity, and analyzing tree ring/cell anatomy data relating to drought tolerance. - Participating in meetings with research teams and stakeholders as relevant. - Taking active part in the writing and editing of manuscripts on which the associate specialist would be an author. - The associate specialist would also be encouraged to propose additional independent analyses using Moran lab datasets that match their research interests. To ensure full consideration, please apply before November 20, 2024. Applications will continue to be reviewed until Jan 15 or until the position is filled, whichever comes first. Start date is negotiable between December 18 2024 and February 1, 2025. Appointment period & salary: The initial appointment will be for one years and is potentially renewable, depending on performance and availability of funding. See Tables 24B<https://www.ucop.edu/academic-personnel-programs/_files/2024-25/july-2024-scales/t24-b.pdf> and 24BN<https://www.ucop.edu/academic-personnel-programs/_files/2024-25/july-2024-scales/t24-b-n.pdf> for the salary range for this position. Depending on the rank hired into, a reasonable estimate for this position is at least $73,000 per year. Qualifications: Candidates must have completed a Master’s in biology, ecology, mathematical modeling, or similar discipline, and have substantial experience with R. The candidate must be self-disciplined, and motivated (as evidenced by reference letters and prior research work). Qualifications that would be desirable but not strictly required include experience with Bayesian modeling, coding for Shiny apps, and/or fieldwork experience. Applications will be evaluated based on past research and alignment of applicant experience with desired qualifications. Top candidates will be invited to interview via Zoom or in person, and references will be solicited. To Apply: Link: https://aprecruit.ucmerced.edu/JPF01830 Required materials: 1) A cover letter explaining your interest in the position, how you match the qualifications, and how the position aligns with your future goals. 2) Your CV 3) A list of 3 references If you have questions, contact Dr. Emily Moran at [email protected]<mailto:[email protected]>. To unsubscribe from this list please go to https://community.esa.org/confirm/?u=RhPWqPxFwODKvbkiT32nkIqRrsiSgulp
