Postdoctoral Researcher

4 days left

Employer
California Academy of Sciences
Location
San Francisco, California, US
Salary
Competitive
Posted
Apr 29, 2021
Closes
May 18, 2021
Ref
2146783121
Discipline
Modeling
Employment Type
Full time
Salary Type
Salary
We hope you are inspired by what we do and are excited to contribute to our mission. The Academy is looking for candidates who do great work, and we know they may come from a number of different backgrounds and experiences. We encourage you to apply even if you do not believe you meet every ­one of the qualifications for the position.

POSITION SUMMARY:
This Postdoctoral Researcher position will play a critical role in the development of ecological metrics of forest wildlife resilience for fire-prone, mixed-conifer forests for a project funded by California's Wildlife Conservation Board. The Researcher will work closely with a transdisciplinary team of Academy and United States Forest Service scientists to develop exciting new tools to understand changing forest wildlife communities. The Researcher will be responsible for ecological modeling and related analysis of central Sierra Nevada wildlife food webs, and will evaluate landscape-level response of food-webs to existing modelled climate projections. They will also receive training in food-web theory, relevant ecological and mathematical modeling techniques, data science, HPC programming, and field methods. Results of this work will influence science, policy and management, and mitigation strategies to improve resilience of California's mixed-conifer forests.

POSITION DUTIES AND FUNCTIONS:
Reasonable accommodations may be made to enable persons with disabilities to perform the essential functions.
  • Assemble databases of wildlife occurrences and food-web interactions for the central Sierra Nevada from existing datasets.
  • Apply food-web theory to synthesized datasets to model landscape-level wildlife community response to disturbances and projected climate change.
  • Produce reproducible computational workflows with organized data, documented steps, and project structure for scientific computing.
  • Attend virtual and in-person meetings to collaborate with Academy and USFS researchers.
  • Collaborate to build an online dashboard of results for managers and the public.
  • Work with diverse communities focused on restoring resilience to forested ecosystems.
  • Participate in public-facing events to disseminate knowledge gained through this project.
  • Take the lead on preparing results for publication.
  • Attend professional meetings.
  • Participate in Sierra Nevada field work.
  • Follow all Academy safety regulations.
  • Other duties as assigned.

MINIMUM QUALIFICATIONS:
The qualifications listed below are representative of the knowledge, skill, and/or ability required or preferred.

EXPERIENCE and/or EDUCATION:
A qualified candidate will have a combination of the following experience and/or equivalent education:
  • Ph.D. degree in Ecology, Evolutionary Ecology, Earth Sciences, Applied Mathematics, or closely related field. Degree must be completed by the beginning of this position.
  • Strong background in terrestrial wildlife community ecology and ecological theory preferred.
  • Experience in ecological modeling, computational work and geospatial data analysis preferred.

KNOWLEDGE, SKILLS AND ABILITIES:
  • Grounding in ecological theory (community/population/landscape/global or equivalent).
  • Large-scale ecological modeling and/or geospatial analysis experience.
  • Applied mathematics, computer science and/or big data experience.
  • Interest in integrating disparate scientific data to address resilience and biodiversity conservation for forest ecosystems.
  • Ability to write code in more than one programming language and share code with online teams.
  • Familiarity with online biodiversity databases, geospatial data, and geographic information systems.
  • Ability to track and manage projects using online collaboration tools and source code repositories.
  • Ability and desire to work in a transdisciplinary team environment.
  • Ability to work with natural resource managers and engage with concerned forest communities.
  • Software skills in modeling and data science (Julia, R, python).
  • Familiarity with online biodiversity databases (GLOBI, GBIF, iNaturalist), Geographic Information Systems, Geocomputing (Google Earth Engine) and source code repositories (GitHub) to integrate data with models and share this work across teams.
  • Ability to work with computational support staff and external partners to execute high-performance computing code.
  • Ability to take direction, work as part of a transdisciplinary team, and collaborate with colleagues toward mutual goals.
  • Ability to work efficiently and communicate (verbal, written) with staff across functional teams and external partners from different backgrounds, identities and experiences.
  • Ability to execute computational work independently and with great attention to detail.
  • Able to transport 30 pounds.
  • Ability to do repetitive motions 20 % of the time.
  • California driver's license or willingness to obtain one; clean driving record.
  • Able and willing to work some weekends and spend multiple nights in the field.
  • Ability to read and interpret documents such as safety rules.
  • Ability to speak effectively before groups or individuals.
  • English is the primary language necessary for this job, written and spoken. Bilingual (spoken and/or written) in Spanish or other non-English language a plus, but not necessary.

WORK ENVIRONMENT:
The physical expectations described here are representative of those that must be met by an employee to successfully perform the position duties and responsibilities. Ability to safely lead audiences of all ages and group sizes on both outdoor and indoor tour routes that may include stairs, uneven paths, and secure access areas.

APPLICATION DEADLINE: May 27, 2021 at 5PM. Applications will be accepted and reviewed on a rolling basis.

HOW TO APPLY: Please submit a resume and complete the brief online application.

The California Academy of Sciences will give full consideration for employment to all qualified applicants with criminal histories in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance (SF Police Code, Article 49).

The California Academy of Sciences is an Equal Opportunity Employer and is committed to ensure that all employees and applicants receive equal consideration and treatment, regardless of race, color, creed, gender (including gender identity or gender expression), religion, marital or domestic partner status, age, place of birth, national origin or ancestry, physical, mental or medical disability, height or weight, sex, sexual orientation, citizenship, military service status, veteran status, or any other characteristic protected by state or federal law or local ordinance.

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