Description: The University of Maine School of Forest Resources is seeking a highly qualified Ph.D. student for integrated socio-environmental systems research, starting in Fall 2023. The student will be supported by a National Science Foundation grant researching the socio-environmental past and future of timberlands in Maine. The graduate research assistant will help develop spatial and causal process models to represent the socio-environmental feedbacks and consequences of three decades of forest financialization, then use these models to co-produce future landscape scenarios for informing policy and governance processes.

The preferred start date is September 2023. The graduate research assistant will be responsible for developing and conducting surveys and interviews, developing systems models, collecting and analyzing data, and drafting publications and outreach materials. The doctoral student will receive training in integrated social science and natural resource management and research and will work closely with partners at the University of Georgia and Harvard Forest as well as with key participants in the forest industry and both tribal and non-tribal communities of place.

Qualifications: An M.S. degree in forestry, economics, or an environmental science or social science degree along with a background in natural resource management. A high GPA, strong GRE scores, and solid writing and communication skills are essential. The ideal candidate will have a degree in one of the above fields, experience with quantitative analysis and stakeholder engagement, interdisciplinary research, a proven ability to work independently, an eagerness for research, and demonstrated scholastic success. Women and minorities are encouraged to apply.

Assistantship: This position provides 3 years of funding for a 20 hour/week assistantship ($26,667/year), 50% of health insurance paid, and a tuition waiver for the University of Maine. Office space and operating support (e.g., use of a laptop, travel funds) are also included.

To apply: Please submit a cover letter explaining your interest in the position, your qualifications, and research areas of interest, a CV that includes contact information for three references, university transcripts, and GRE scores (if available) via Google Form: Contact Person Adam Daigneault Contact eMail

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