Open date: August 14th, 2020
Last review date: Friday, Sep 4, 2020 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, Jan 31, 2021 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.
The Marine Science Institute at the University of California Santa Barbara seeks a highly-motivated postdoctoral research associate. The position will focus on quantitative modeling of kelp forest dynamics to inform kelp restoration in the state of California.
The postdoctoral research associate will be based in Santa Barbara, California but remote work is possible while COVID-related shutdowns remain in place. The postdoc will join a dynamic research group led by Dr. Jenn Caselle (and https://labs.eemb.ucsb.edu/caselle/jennifer/) will also collaborate extensively with researchers at UCSB and UC Santa Cruz (https://rclab.ucsc.edu/).
The position will work on a recently funded project that seeks to inform kelp restoration across the state of California. Utilizing extensive data (kelp forest surveys, oceanographic and benthic habitat) available from diverse sources across the state, the Postdoc will build statistical models to identify key ecological, oceanographic and management drivers of kelp (Macrocystis pyrifera and Nereocystis leutkeana) persistence or recovery at the scales of the entire state. Modeling will include but not be limited to generalized linear models, generalized additive models, and may include Bayesian approaches or machine learning. The candidate will also have experience with species distribution modeling. The region-specific, species-specific results from the modeling will serve to highlight places, times and techniques that stand the best chance of success for kelp restoration in California. The Postdoc will lead the development of a written and graphical restoration guide for use by managers, restoration practitioners, and funders. A background in coastal marine ecology is beneficial but not necessary.
Basic Qualifications: PhD (or equivalent) in marine biology, applied statistics, ecological modeling, or closely related discipline at time of application.
Preferred Qualifications: Ideal candidates will have advanced skills in data analysis, statistics, scientific coding/programming, and other quantitative methods. Experience with statistical analysis of spatial and temporal data (e.g. generalized linear models, generalized additive models, Bayesian approaches, machine learning), and species distribution modeling strongly preferred. Coding experience in R or equivalent programming language. Familiarity with spatial or geographic analyses. Demonstrated strong writing skills are required. Excellent verbal and written communication skills. A track record of talks and peer-reviewed publications appropriate to career stage. Familiarity with metadata documentation in eml and data and code repositories such as Github or DATAOne. Strong interpersonal skills to build and maintain strong relationships with academic, NGO and government partners, and to work effectively as part of a highly collaborative research team.
The position start date is as soon as possible, but ideally no later than October 31, 2020. The duration of the initial appointment is 12 months; reappointment for an additional year is possible. Salary is competitive, commensurate with the applicant’s qualifications. Postdoctoral benefits are included (https://clients.garnett-powers.com/pd/uc/plans_benefits).
Applicants should submit a CV, a short (1-2 page) statement of research experience and interests related to the project, PDF copies of up to two relevant publications, preferably those that demonstrate statistical modelling examples, and the names, affiliations, and email addresses of three references to: https://recruit.ap.ucsb.edu/JPF01825
For primary consideration apply by September 4, 2020
Position will remain open until filled.
The University is especially interested in candidates who can contribute to the diversity and excellence of the academic community through research, teaching and service.
The University of California is an Equal Opportunity/Affirmative Action Employer and 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.
Curriculum Vitae - Your most recently updated C.V.
Statement of Research and Interests - A short (1-2 page) statement of research experience and interests related to the project
Publications - One of two PDF copies of relevant publications, preferably those that demonstrate statistical modelling examples
Publications - Two of two PDF copies of relevant publications, preferably those that demonstrate statistical modelling examples
- 3 required (contact information only)