Associate/Specialist - Forest Carbon MCECO - ESPM Ecosystem Sciences Division - Battles Lab
Listed on 2026-01-02
-
Research/Development
Data Scientist -
Science
Data Scientist, Environmental Science
Associate/Full Specialist – Forest Carbon MCECO – ESPM Ecosystem Sciences Division – Battles Lab
Position Title:
Associate Specialist or Specialist
Salary Range:
The UC academic salary scales set the minimum pay determined by rank and step current full-time base salary range for this position is $75,600–$154,200. Off‑scale salaries may be offered to meet competitive conditions.
Percent Time: 50%
Anticipated Start:
Fall / Winter 2025
Position Duration:
One year with the possibility of extension based on performance and availability of funding.
Application Window:
Open on October 24, 2025; final date Sunday, November 23, 2025.
The Forest Ecology Lab, under the guidance of Dr. John Battles (PI), within the Department of Environmental Science, Policy, & Management (ESPM) at the University of California, Berkeley, seeks highly motivated individuals for the role of Associate or Full Specialist. The Lab focuses on understanding forest ecosystems in terms of ecology, management, and policy, using robust quantitative analysis of forest and fuel inventory data.
Long‑term focal area:
Understanding the carbon dynamics of California forests in the era of global change using intensified Forestry Inventory and Analysis (FIA) data.
- Review and revise the current forest ecosystem carbon accounting framework used by Cal Fire.
- Develop statistically sound analytics that leverage the time‑intensified FIA data to improve forest carbon accounting in California.
- Develop analytical workflows using open‑source statistical computing platforms.
- Provide fully reproducible analytics and thoroughly documented code.
- In consultation with the PI and Co‑Investigators develop robust data analysis plans that leverage the temporally intensified FIA inventories using appropriate statistical methods.
- Evaluate empirical results in terms of their ability to produce management‑relevant information at the appropriate spatial and temporal scale.
- Interpret and communicate applied research insights in peer‑reviewed manuscripts, reports, and outreach material.
- Build open‑science workflows that can be shared among collaborators.
- Conduct all research and analyses following best practices in reproducible science.
- Communicate technical program details effectively to a diverse group of fire scientists, resource managers, and forest ecologists to ensure understanding and engagement with domain experts.
- Contribute expertise to the environmental data science workgroup at UC Berkeley.
Basic qualifications (required at time of application):
Bachelor’s Degree or equivalent international degree.
Additional Qualifications (required at time of start):
- Bachelor’s degree or equivalent international degree plus 5 years of research experience, or Master’s degree or equivalent international degree plus 3 years of research experience.
Preferred Qualifications:
- A master’s degree or equivalent international degree in a relevant discipline (e.g., fire science, forestry, ecology, natural resource management, data science, statistics).
- Five or more years of experience in a relevant domain expertise (e.g., forest biometry, forest science, natural resource assessment).
- Experience with open‑source programming languages and software used in environmental data science with a preference for R.
- Proficiency with standard methods of tracking, sharing, and updating code and methodology such as Git Hub.
- Experience working with databases of national forest inventories (e.g., FIA) or other large data sets that involve forest inventory data.
- Demonstrated capacity to publish peer‑reviewed articles or non‑peer‑reviewed reports with strong dependency on monitoring data.
- Curriculum Vitae – Your most recently updated C.V.
- Cover Letter
- 3 references (contact information only)
Apply link: (Use the "Apply for this Job" box below)./JPF
05192
Help contact: jbattles
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