FULL TIME POST-DOCTORAL POSITION – FOREST ECOSYSTEM MODELER
Spatial Informatic Group, LLC (SIG) was founded in 1998 and is a group of applied thinkers with expertise in environmental fields ranging from landscape ecology, wildlife ecology, transportation modeling, ecosystem services valuation, natural hazards risk assessment, and forestry to natural resource economics. Our group combines spatial analytics with ecological, social and economic sciences to understand the effects of management and policy choices on the short and long-term stability of ecosystems. We translate data into knowledge that can be used to inform decisions.
SIG is an Equal Opportunity Employer. We are committed to diversity which includes the recognition that our success is best advanced by the leadership and contributions of women and men of diverse backgrounds, beliefs and culture. We encourage applicants from all cultures, races, colors, religions, sexes, national or regional origins, ages, disability status, sexual orientation, gender identity, military, or other status protected by law.
Location: University of California – Merced Campus, 5200 N Lake Rd, Merced, CA 95343
Posting Date: January 13, 2020
Application Deadline: February 28, 2020
Through a partnership agreement between SIG and UC Merced, SIG is recruiting a postdoctoral researcher with a strong background in ecosystem modeling and programming to contribute to a project aimed at understanding the interaction of climate change and wildfire on post-fire forest recovery. This project will integrate tree mortality data with current model parameterizations and modify wildfire model parameterizations to account for increased fuel loads from widespread tree mortality. The person selected will work together with Professor LeRoy Westerling and programmers at UC Merced in order to develop versions of code for each model implemented, as well as coordinating how data are integrated across models for linked simulation runs. The position will also lead the development and implementation of vegetation scenarios (fuels management and drought dieback) such that they can feed into the different modeling frameworks.
The initial appointment is for one year (beginning Spring 2020), with the possibility of extension for up to two additional years. A competitive salary and benefits will be provided. Required qualifications include a PhD in ecology, ecosystem science, earth/environmental sciences, or statistics and programming experience with Python, R and C+ or C#. Experience in LUCAS and LANDIS-II models is desirable.
- This is a full-time position, however specific workdays and hours are flexible.
- 25% or less – Travel may be required to visit project sites and attend meetings and may require overnight stays up to a week at a time.
Qualifications and Experience
- PhD required in either ecology, ecosystem science, earth/environmental sciences, or statistics.
- Programming experience with Python, R and C+ or C# is required.
- Experience in LUCAS and LANDIS-II model environments is desirable.
- Experience using growth and yield models.
- Strong quantitative and statistical skills are required.
- Effective oral and written communication skills.
- Ability to meet timelines and manage multiple projects.
- Ability to cordially interact with staff and project team.
- D. in ecology, ecosystem science, earth/environmental sciences, forestry, biometrics, statistics, mathematics, or related discipline.
Compensation and Benefits
- Competitive salary with health care, dental, vision, life insurance, paid holidays, retirement savings (401k), and paid time off benefits.
- To apply to this position, please submit your resume (required) and cover letter (required) as separate documents to Shane Romsos at email@example.com.
- Application is open until February 28, 2020.
- Please direct questions related to position and job duties to LeRoy Westerling (firstname.lastname@example.org).