Skip to main content

Junior Specialist, Environmental Science and Policy

Recruitment Period

Open date: May 11th, 2020

Last review date: Monday, Jun 8, 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: Thursday, Oct 1, 2020 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.

Description

Position Description:

This position will actively participate in the academic objectives of our research project. Those include using a dynamic plant-pollinator network model to evaluate the mechanisms affecting the assembly of plant-pollinator networks in ecological and evolutionary timescales. The incumbent will be asked to present the results at one conference. The conference will be determined based on the results of the study, but possibilities include venues such as the Ecological Society of America: https://www.esa.org/events/meetings/future-esa-meetings/. The incumbent is expected to participate in the writing of an article for peer review that will be led by the PI.

Research (60%)
The Incumbent will assist the PI on this project by running simulations of a dynamic model of plant-pollinator networks in a high performance computing cluster, and by critically and creatively analyzing the results of those simulations based on ecological and evolutionary understanding of plant-pollinator systems. The incumbent will provide feedback on the model, coding, and optimization of them to properly run in a computer cluster, and lead a discussion on any modifications necessary. The objective is to understand how plant-pollinator networks assemble over ecological vs. evolutionary timescales, and to identify the mechanisms that have generated the structure of those networks in present days. This research will use the dynamic model and Matlab code already developed by the PI.

Duties:
Running large and compute-intensive Matlab simulations using a computer cluster, designing and developing code for analyzing the results of those simulations, identifying key patterns in those results, developing ecological and evolutionary of plant-pollinator systems through reading primary literature and discussing with the PI, using the gained understanding to interpret the patterns identified, and organizing the results for scientific publication.

Professional Competence (30%)
By developing a poster for a conference presentation the incumbent will receive training and experience in developing scientific graphics that represent the results of theoretical and computational analyses in the Ecology and Evolutionary Biology fields. The same graphics will be considered a contribution to a peer reviewed article. The incumbent will also be asked to read and comment on drafts of the article, and will be involved in discussions of the objectives of the paper.
The incumbent will be asked to read a selection of papers on theoretical ecology, ecological networks, and the ecology and evolutionary biology of plant-pollinator systems

University and Public Service (10%)
The incumbent will participate in outreach activities lead by the PI on the ecology and evolution of plant-pollinator systems.

Minimum Qualifications:
• Bachelor's Degree (or equivalent) in Computer Science, Bioinformatics, Physics, Mathematics, or equivalent.

Preferred Qualifications:
• Excellent programming and mathematical skills.
• Proficient in Matlab and R.
• Experience with cluster computing.
• Courses or Research Experience in Ecology.
• Ability to work independently and collaboratively.
• Knowledge and understanding of ecological networks.
• Previous research experience in theoretical ecology.

Salary Range: Step 1- $39,500

To Apply: https://recruit.ucdavis.edu. Applicants should submit a cover letter describing your interest in the position and your relevant skills, a resume, and a list of 3 references including their contact information. Documents/materials must be submitted as PDF files.

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 complete University of California nondiscrimination and affirmative action policy see: http://policy.ucop.edu/doc/4000376/NondiscrimAffirmAct.

Under Federal law, the University of California may employ only individuals who are legally able to work in the United States as established by providing documents as specified in the Immigration Reform and Control Act of 1986. Certain UCSC positions funded by federal contracts or sub-contracts require the selected candidate to pass an E-Verify check. More information is available http://www.uscis.gov/e-verify.

UC Davis is a smoke- and tobacco-free campus effective January 1, 2014. Smoking, the use of smokeless tobacco products, and the use of unregulated nicotine products (e-cigarettes) will be strictly prohibited on any property owned or leased by UC Davis-- indoors and outdoors, including parking lots and residential space."

2020 Forbes Award: Best Employers for Diversity 2019 Forbes Award: America

Job location

Davis, CA

Requirements

Document requirements
  • Cover Letter

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

  • Statement of Contributions to Diversity, Equity, and Inclusion - Contributions to diversity, equity, and inclusion documented in the application file will be used to evaluate applicants. Visit https://academicaffairs.ucdavis.edu/faculty-equity-and-inclusion for guidelines about writing a statement and why one is requested.
    (Optional)

Reference requirements
  • 3-5 required (contact information only)