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Postdoctoral Researcher in Quantitative Population Ecology and Statistical Modeling, Marine Science Institute, University of California, Santa Barbara (JPF02598)

Postdoctoral Researcher in Quantitative Population Ecology and Statistical Modeling, Marine Science Institute, University of California, Santa Barbara Apply now to Postdoctoral Researcher in Quantitative Population Ecology and Statistical Modeling, Marine Science Institute, University of California, Santa Barbara
Job #JPF02598

• Marine Science Institute / Office of Research / UC Santa Barbara

Position overview
Position title: Postdoctoral Researcher in Quantitative Population Ecology and Statistical Modeling
Salary range: The posted UC system-wide salary scales set the minimum pay determined by rank and step at appointment. See Table 23 for the salary range at UCSB. A reasonable estimate for this position is $64,480 to $71,908. “Off-scale salaries” and other components of pay, i.e., a salary that is higher than the published system-wide salary at the designated rank and step, are offered when necessary to meet competitive conditions.
Percent time: 100%
Anticipated start: The position is available immediately and the start date is negotiable but the ideal start date would be 11/1/23.
Position duration: This is a 2-year initial appointment

Application Window

Open date: September 8, 2023

Most recent review date: Sunday, Oct 1, 2023 at 11:59pm (Pacific Time)
Applications received after this date will be reviewed by the search committee if the position has not yet been filled.

Final date: Sunday, Jun 30, 2024 at 11:59pm (Pacific Time)
Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.

Position description

The Marine Science Institute at the University of California, Santa Barbara, seeks a Postdoctoral Researcher in Quantitative Population Ecology and Statistical Modeling to study the interacting effects of extreme weather events, infectious disease, invasive species, and other factors on the site occupancy, abundance, and resilience of amphibian populations in California. The Postdoctoral Researcher would work closely with Drs. Cheryl Briggs and Samantha Stevenson at UC Santa Barbara, and Dr. Pieter Johnson at the University of Colorado, Boulder. We seek a candidate with a background in analysis of ecological or environmental data sets. Experience with analysis of complex data sets, Bayesian methods, Geographic Information Systems, spatial statistics, and/or climate data are preferred. The overall objective will be to integrate multiple streams of field data through creative statistical approaches to quantify the factors affecting the spatial distribution, abundance, and viability of populations of threatened amphibian species in California. Data sources include multiple multi-year time series of amphibian populations, pathogens, invasive species, and other aspects of the freshwater systems, collected from many ponds distributed across a landscape, climate data, and data on the physical properties of the ponds on the landscape. Writing and publishing results in peer-reviewed manuscripts is expected.

They will develop appropriate statistical models to identify and quantify the impacts of extreme weather events, and other factors, on amphibian species occupancy, abundance, and resilience.

The research work will be conducted solely in California and the on-site work location is in Santa Barbara, California.

Full benefits package included.

The position is available immediately and will be open until filled.

The Department is especially interested in candidates who can contribute to the diversity and excellence of the academic community through research, teaching and service as appropriate to the position.

Department: https://msi.ucsb.edu/

Qualifications
Basic qualifications (required at time of application)

Applicants must have completed all requirements for a PhD program (or equivalent) except the dissertation in ecology, geography, statistics, data science, or a closely related discipline at the time of appointment.

Additional qualifications (required at time of start)

The applicant must have a doctoral degree in ecology, geography statistics, data science, or a closely related discipline at the time of appointment.

Preferred qualifications

• Ability to manage, analyze, and synthesize data
• Experience in analyzing complex datasets
• Experience coding in R or Python
• Experience with Bayesian methods, Geographic Information Systems, spatial statistics, and/or climate data
• Strong written and verbal communication skills
• Demonstrated record of publishing in peer-reviewed scientific journals

Application Requirements
Document requirements

• Curriculum Vitae - Your most recently updated C.V.

• Cover Letter - A cover letter stating your research accomplishments and interests

• 1 of 2 Peer-reviewed scientific articles - 1 of 2 reprints of peer-reviewed scientific articles or manuscripts in preparation.

• 2 of 2 Peer-reviewed scientific articles - 2 of 2 reprints of peer-reviewed scientific articles or manuscripts in preparation.

Reference requirements

• 3 required (contact information only)

The search committee may contact references of the top candidate after the interviews. After references are checked, a top candidate will be chosen.

Apply link: https://recruit.ap.ucsb.edu/JPF02598

Help contact: lswanson@ucsb.edu

Campus Information

The University of California is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.

As a condition of employment, you will be required to comply with the University of California Policy on Vaccination Programs , as may be amended or revised from time to time. Federal, state, or local public health directives may impose additional requirements.

Job location
Santa Barbara, CA UCSB
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