Postdoctoral Researcher – Ecological Data Analysis and Data Management

Posted on May 7, 2024
https://recruit.ap.ucsb.edu/JPF02745

Postdoctoral Researcher – Ecological Data Analysis and Data Management

Job #JPF02745
  • Earth Research Institute / Office of Research / UC Santa Barbara
POSITION OVERVIEW

Position title: Postdoctoral Researcher – Ecological Data Analysis and Data Management
Salary range: The posted UC system-wide salary scales set the minimum pay based on prior months of postdoc service (both domestic and international) before the start of appointment. See Table 23 and 23N (Hourly) for experience level minimums. A reasonable estimated full-time rate for this position at 100% time is $64,480- $74,569. Salaries that are higher than the published system-wide salary at the designated experience level minimum, are offered when necessary to meet competitive conditions.
Percent time: 100
Anticipated start: 06/01/2024 or later.
Position duration: 2 years
APPLICATION WINDOW

Open date: April 26, 2024

Next review date: Friday, May 31, 2024 at 11:59pm (Pacific Time)
Apply by this date to ensure full consideration by the committee.

Final date: Friday, Jun 14, 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 Resilience Institute Bridging Biological Training and Research (RIBBiTR) is seeking applications for a Postdoctoral Researcher with joint responsibilities for (a) conducting research on factors facilitating the resilience of amphibians in the face of emerging infectious diseases and other global stressors, and (b) developing and managing databases and workflows for the collection, sharing, and archiving of ecological data collected by the institute.

RIBBiTR is a Biology Integration Institute, funded by the National Science Foundation to conduct research and training that integrates across sub-disciplines in the biological sciences to better understand how living systems achieve resilience to emerging infectious diseases and other global change stressors. The institute is comprised of researcher/educators from many universities, each with expertise in research and training relevant to the group’s focus on the amphibian disease, chytridiomycosis.

Within RIBBiTR, the Postdoctoral Researcher will have two key responsibilities, each of which will occupy one-half of the postdoc’s effort. First, the postdoc will contribute to multi-university teams focused on the analysis of ecological data collected from four field sites in California, Pennsylvania, Panama, and Brazil. The postdoc will have the opportunity to lead quantitative analysis and modeling that compares the resilience of amphibian populations across the four field sites using multiple integrated data streams, spanning individual, population, and community scales. Second, the postdoc will be responsible for maintaining, updating, and expanding the institute’s relational database that houses the data needed for this research, as well as assisting researchers in accessing and using these data. The postdoc will have the opportunity to work with institute members in developing and implementing open science workflows. The postdoc will also lead the writing and publication of scientific manuscripts, present findings at scientific conferences, support the writing of research grants, and mentor graduate and undergraduate students.

The position is based at the University of California, Santa Barbara, travel may be required to several other universities that are part of RIBBiTR, including the University of Pittsburgh, the University of Tennessee, and others. ​​RIBBiTR’s constituent institutions are Affirmative Action/Equal Opportunity Employers and our team greatly values equality of opportunity, human dignity, and diversity. The University 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

QUALIFICATIONS

Basic qualifications (required at time of application)
Applicants must have completed all requirements for Ph.D. program or equivalent except for a dissertation in biology, ecology, data science, or a related field.
Additional qualifications (required at time of start)
Ph.D. in biology, ecology, data science, or a related field.
Preferred qualifications
Experience with quantitative analysis, statistical modeling, data science, and/or database management,
Strong writing skills
The ability to work independently and collaboratively.
APPLICATION REQUIREMENTS

Document requirements
  • Curriculum Vitae – Your most recently updated C.V.
  • Cover Letter
  • Statement of Research (Optional)
  • Statement of Contributions to Diversity – A one-page description of how your past or anticipated scholarly activities (research, teaching, service)
    demonstrate a commitment to diversity and inclusion,
    (Optional)
Reference requirements
  • 3-5 required (contact information only)
Please provide first name, last name and contact information for 3 references.

Help contact: brclincy@ucsb.edu
ABOUT UC SANTA BARBARA

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, age or protected veteran status. For the University of California’s Affirmative Action Policy please visit: https://policy.ucop.edu/doc/4010393/PPSM-20. For the University of California’s Anti-Discrimination Policy, please visit: https://policy.ucop.edu/doc/1001004/Anti-Discrimination.

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
the Society for
Integrative &
Comparative
Biology