Research Associate: Computational Forest & Policy Modeling

Comunidade Metodista; Notre Dame (IN); On-site; USD 55,000 - 85,000; Full time

Job summary

University of Notre Dame seeks a Research Associate to advance Computational Models of Coupled Natural and Human Systems, integrating forest ecology with environmental policy. The role emphasizes remote sensing analysis, modeling, and fieldwork in Peru, with collaboration across the Keough School of Global Affairs and Biological Sciences.

The position is full-time with no teaching duties, initially 12 months, possibly renewable for 6–12 months.

Qualifications

• Completion of comprehensive exams in forest ecology, environmental policy, or related fields.
• Strong computational skills in data analysis, machine learning, and modeling.
• Willingness to conduct fieldwork in Peru with local partners.

Responsibilities

• Carry out spatial analysis of Peru forest cover change using remote sensing products.
• Use an existing computational model of forest dynamics to evaluate ecological consequences of local conservation efforts.
• Carry out field work in Peru as part of an interdisciplinary research team to improve models.
• Communicate research results to policymakers and stakeholders to enhance conservation visibility.
• Present findings at scientific conferences and contribute to academic journal publications.

Skills

Data analysis

Machine learning

Modeling

Python

R

MATLAB

Education

Graduate degree in forest ecology or environmental policy

Tools

Python

R

MATLAB

Job description

University of Notre Dame seeks a Research Associate to advance Computational Models of Coupled Natural and Human Systems, integrating forest ecology with environmental policy. The role emphasizes remote sensing analysis, modeling, and fieldwork in Peru, with collaboration across the Keough School of Global Affairs and Biological Sciences.

The position is full-time with no teaching duties, initially 12 months, possibly renewable for 6–12 months.