Postdoctoral Research Associate
About The Position
The postdoctoral associate will conduct research to incorporate disturbance through time and remote sensing into a scaling framework of forest structure and functional diversity using in-situ and remotely sensed data, as well as assisting with other projects to provide research support for the PI. Typical hiring salary for this soft-money funded position is $60,000 commensurate with qualifications and experience. About the University: The University of Maine is a community of more than 11,900 undergraduate and graduate students, and 2,500 employees located on the Orono campus, the regional campus in Machias, and throughout the state. UMaine is a land, sea and space grant university, and maintains a leadership role as the University of Maine System's flagship institution. UMaine is the state's public research university and a Carnegie R1 top-tier research institution, dedicated to providing excellent teaching, research and service for Maine, the nation and the world. More information about UMaine is at umaine.edu. The University of Maine offers a wide range of benefits for employees including, but not limited to, tuition benefits (employee and dependent), comprehensive insurance coverage including medical, dental, vision, life insurance, and short and long term disability as well as retirement plan options. UMaine is located in beautiful Central Maine. Many employees report that a primary reason for choosing to come to UMaine is quality of life. Numerous cultural activities, excellent public schools, safe neighborhoods, high quality medical care, little traffic, and a reasonable cost of living make the greater Bangor area a wonderful place to live. Visit the Maine Office of Tourism to learn more about what the Bangor region has to offer.
Requirements
- PhD in Ecology, Geography, Data Science, or related field (e.g. Ecology and Environmental Sciences) at time of hire.
- Experience with management of big data sets (e.g., USFS Forest Inventory and Analysis, remotely sensed data, such as LiDAR), analyses in Google Earth Engin, R, Python, and STAN (e.g., deep learning, Bayesian regression models, spatial analyses), and running analyses on a high-performance computing cluster.
- Demonstrated record of publishing peer-reviewed manuscripts and seeing projects through from start to finish.
- Applicants must be currently authorized to work in the United States on a full-time basis.
Responsibilities
- conduct research to incorporate disturbance through time and remote sensing into a scaling framework of forest structure and functional diversity using in-situ and remotely sensed data
- assisting with other projects to provide research support for the PI
Benefits
- tuition benefits (employee and dependent)
- comprehensive insurance coverage including medical, dental, vision, life insurance, and short and long term disability
- retirement plan options
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What This Job Offers
Job Type
Full-time
Industry
Educational Services
Education Level
Ph.D. or professional degree
Number of Employees
1,001-5,000 employees
