The Post-doctoral Associate will join a team of interdisciplinary researchers working to significantly improve the resilience and well-being of coastal communities in the Mid-Atlantic. This position offers a unique opportunity to utilize quantitative environmental science research methods to help bridge the gap between science, practice, and policy.
Physical Demands: Visual acuity is required for preparing and analyzing written or computer data and presentations. Ability to lift and carry 25lbs. Regularly required to operate a computer.
Qualifications Required: Ph.D. in quantitative social science, resource economics, geography, environmental science, or a related field with a strong emphasis on science-informed decision support.
Preferences:
The selected candidate should have experience with working with geospatial databases and web-based tool development are strongly preferred. Knowledge of forest ecosystems and their management. They should have experience with coastal dynamics and climate change. The candidate should be highly organized, have excellent communication skills, the ability to work with diverse groups and quantitative data analysis skills.
Licenses/ Certifications:Additional Job Details
Duties and Responsibilities: This 1-year position is based at the University of Maryland in collaboration with the Stanford Sustainability Accelerator Program. The work will primarily focus on development of a decision support tool for coastal land managers affected by coastal stressors. The applicant will be expected to:
●Manage diverse project activities
●Organizing disparate datasets to help inform decision making
●Run focus groups with stakeholders
●Administer and analyze stakeholder surveys
●Analyze forest management programs
●Contribute to geospatial data analysis
●Contribute to web tool development
●Organize and analyze data in order to prepare manuscripts based on findings.
●Demonstrate interpersonal skills in a professional setting.
●Be willing to travel out of state to network and collaborate with colleagues in the Mid-Atlantic.
●Present findings at regional or national meetings.
Required Application Materials: Candidates must apply with the following documents (1) Cover letter highlighting relevant experience, (2) Curriculum Vitae, (3) Contact information for three references.
Best Consideration Date: August 7, 2026
Posting Close Date: October 1, 2026
Open Until Filled: Yes
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Offers of employment are contingent on completion of a background check. Information reported by the background check will not automatically disqualify anyone from employment. Before any adverse decision, the finalist will have an opportunity to provide information to the University regarding disclosable background check information. The University reserves the right to rescind the offer of employment or otherwise decline or terminate employment if the information reported by the background check is deemed incompatible with the position, regardless of when the background check is completed.
Employment EligibilityThe successful candidate must complete employment eligibility verification (on Form I-9) by presenting documents that establish identity and work authorization within the timeframe required by federal immigration law, and where applicable, to demonstrate renewed employment authorization. Failure to complete employment eligibility verification or reverification within the timeframe set forth by law may result in suspension or termination of employment.
EEO StatementThe University of Maryland, College Park is an Equal Opportunity Employer. All qualified applicants will receive equal consideration for employment. Please read the University’s Equal Employment Opportunity Statement of Policy.
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Skills Required
- Ph.D. in quantitative social science, resource economics, geography, environmental science, or related field with emphasis on science-informed decision support
- Experience with geospatial databases
- Experience with web-based tool development
- Knowledge of forest ecosystems and their management
- Experience with coastal dynamics and climate change
- Strong quantitative data analysis skills
- Highly organized with excellent communication skills and ability to work with diverse groups
- Ability to lift and carry 25 lbs
- Ability to complete employment eligibility verification (Form I-9)
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