"Research Associate"

Research Associate: Computational Models of Coupled Natural and Human Systems

A team of faculty members affiliated with the University of Notre Dame's Just Transformations to Sustainability (JTS) Initiative is seeking a highly qualified and motivated Research Associate in Computational Models of Coupled Natural and Human Systems, with a strong interest in combining forest ecology and environmental policy. This is a full-time research-focused position with no teaching responsibilities. The initial appointment is for 12 months, with the possibility of renewal for an additional 6-12 months. The successful candidate will work collaboratively with investigators from the Keough School of Global Affairs, Department of Biological Sciences, and the JTS Initiative to conduct research on local communities' forest conservation efforts.

The ideal candidate will possess expertise in computational modeling, including but not limited to statistical analysis and mechanistic computational models. They should also have experience in the analysis of remote sensing products. The successful candidate will also be expected to carry out fieldwork related to local community forest conservation efforts in Peru.

Key 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 a member of an interdisciplinary research team, to evaluate and improve computational models
• Work with partners to communicate research results in order to make the conservation efforts of local communities more visible to policymakers
• Present research findings at scientific conferences and contribute to academic journal publications

Qualifications:

• We welcome applications from graduate students who, at a minimum, have completed their comprehensive exams in forest ecology, environmental policy, or related fields.
• Strong computational skills, with expertise in data analysis, machine learning, modeling, and programming languages such as Python, R, MATLAB, or similar.
• Ability to spend several weeks in Peru carrying out fieldwork with local partners.
• Excellent communication skills, with the ability to present complex research concepts clearly to both technical and non-technical audiences.

Preferred Qualifications:

• Familiarity with the use of spatial analysis of remote sensing data for environmental conservation, ecosystem monitoring, and climate change research.
• Experience working in multidisciplinary teams with researchers from diverse backgrounds.
• Ability to communicate in Spanish is a plus as is previous field research experience in the Global South

APPLICATION INSTRUCTIONS:

Interested applicants should submit the following materials by November 1, 2025:

• A cover letter describing in detail how their research background and qualifications align with the job description outlined above.
• A detailed CV, including a list of conference presentations, publications, and research collaborations.
• Contact information for at least three references.