Overview
Remote
On Site
USD 55,000.00 per year
Full Time
Skills
Knowledge management
Decision-making
Time series
Geographic information system
Leadership
Presentations
Publications
Communication
Data management
Analytical skill
Writing
Forecasting
Research
Partnership
Job Details
Position Summary
A Research Associate (Postdoc) position is available with Lars Brudvig's research group at Michigan State University ( to help lead a U.S. Forest Service-funded project focused on predicting outcomes of longleaf pine woodland restoration. Central goals of this project are to: 1) Develop predictive models that will anticipate (i.e., forecast) restoration outcomes, 2) Identify conditions that can be used to prioritize highly restorable sites, and 3) Map these predictions to a large (800 km2) landscape, to assist restoration decision making by the U.S. Forest Service.
The successful candidate will work with Brudvig and other project team members to analyze existing datasets collected from a large-scale restoration experiment located in South Carolina (time series of plant and bee responses; soils, fire history, and other site attributes) and couple these with GIS layers to generate maps of predicted restoration outcomes. As a group, we have developed initial models in support of Project Goals 1 and 2; we seek a postdoc to refine and expand these models, lead Project Goal 3, and communicate findings through presentations and publications.
The position is for one year, with an annual salary of $55,000 and includes full benefits. There are options to be based out of East Lansing, or to work remotely and we will discuss these options with the candidates.
A Ph.D. is necessary; competitive applicants will also have demonstrated expertise in written communication and data management/analysis, ideally with developing predictive and/or forecasting models.
Equal Employment Opportunity Statement
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, citizenship, age, disability or protected veteran status.
Required Degree
Doctorate
Minimum Requirements
Interests and previous experience in ecology. Analytical and writing skills.
Desired Qualifications
Demonstrated expertise in developing predictive and/or forecasting models
Required Application Materials
A complete application will include a CV, cover letter (two pages max) explaining research interests, background, and fit to this project, and contact information for three references. Review of applicants will begin immediately and continue until a suitable candidate is selected. Feel free to email any questions to Lars Brudvig ().
Together-we-will StatementThe university is requiring all MSU students, faculty and staff to be vaccinated against COVID-19 with limited exceptions. Learn more at:
Review of Applications Begins On
02/02/2023
Remote Work Statement
MSU strives to provide a flexible work environment and this position has been designated as remote-friendly. Remote-friendly means some or all of the duties can be performed remotely as mutually agreed upon.
Website
;br>MSU Statement
Michigan State University has been advancing the common good with uncommon will for more than 160 years. One of the top research universities in the world, MSU pushes the boundaries of discovery and forges enduring partnerships to solve the most pressing global challenges while providing life-changing opportunities to a diverse and inclusive academic community through more than 200 programs of study in 17 degree-granting colleges.
Advertised: Jan 25, 2023 Eastern Standard Time
Applications close: Jan 25, 2025 Eastern Standard Time
A Research Associate (Postdoc) position is available with Lars Brudvig's research group at Michigan State University ( to help lead a U.S. Forest Service-funded project focused on predicting outcomes of longleaf pine woodland restoration. Central goals of this project are to: 1) Develop predictive models that will anticipate (i.e., forecast) restoration outcomes, 2) Identify conditions that can be used to prioritize highly restorable sites, and 3) Map these predictions to a large (800 km2) landscape, to assist restoration decision making by the U.S. Forest Service.
The successful candidate will work with Brudvig and other project team members to analyze existing datasets collected from a large-scale restoration experiment located in South Carolina (time series of plant and bee responses; soils, fire history, and other site attributes) and couple these with GIS layers to generate maps of predicted restoration outcomes. As a group, we have developed initial models in support of Project Goals 1 and 2; we seek a postdoc to refine and expand these models, lead Project Goal 3, and communicate findings through presentations and publications.
The position is for one year, with an annual salary of $55,000 and includes full benefits. There are options to be based out of East Lansing, or to work remotely and we will discuss these options with the candidates.
A Ph.D. is necessary; competitive applicants will also have demonstrated expertise in written communication and data management/analysis, ideally with developing predictive and/or forecasting models.
Equal Employment Opportunity Statement
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, citizenship, age, disability or protected veteran status.
Required Degree
Doctorate
Minimum Requirements
Interests and previous experience in ecology. Analytical and writing skills.
Desired Qualifications
Demonstrated expertise in developing predictive and/or forecasting models
Required Application Materials
A complete application will include a CV, cover letter (two pages max) explaining research interests, background, and fit to this project, and contact information for three references. Review of applicants will begin immediately and continue until a suitable candidate is selected. Feel free to email any questions to Lars Brudvig ().
Together-we-will StatementThe university is requiring all MSU students, faculty and staff to be vaccinated against COVID-19 with limited exceptions. Learn more at:
Review of Applications Begins On
02/02/2023
Remote Work Statement
MSU strives to provide a flexible work environment and this position has been designated as remote-friendly. Remote-friendly means some or all of the duties can be performed remotely as mutually agreed upon.
Website
;br>MSU Statement
Michigan State University has been advancing the common good with uncommon will for more than 160 years. One of the top research universities in the world, MSU pushes the boundaries of discovery and forges enduring partnerships to solve the most pressing global challenges while providing life-changing opportunities to a diverse and inclusive academic community through more than 200 programs of study in 17 degree-granting colleges.
Advertised: Jan 25, 2023 Eastern Standard Time
Applications close: Jan 25, 2025 Eastern Standard Time
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