Postdoctoral Fellow: AI in Natural Resources​/Environment; McCrary Fellow

The College of Forestry, Wildlife and Environment at Auburn University invites applications for the McCrary Postdoctoral Fellow, a unique opportunity for an early-career scholar to drive innovation at the intersection of Artificial Intelligence (AI) and natural resource/environment management. This position aims tofoster collaborative research, including proposal development,across our faculty in Forestry, Wildlife, and Environmental Sciences. This is a two-year postdoctoral position, with the possibility of extension depending on funding availability.

The McCrary Postdoctoral Fellow will be a key contributor to advancing AI applications within natural resources. This role primarily involves collaborating with faculty members across the college to develop competitive grant proposals, perform data collection and analysis, and other research outputs that integrate AI methodologies into research related to forestry, wildlifeconservation, environmental science, and related fields. The successful candidate will leverage their expertise to identify opportunities, design research frameworks, and contribute to the writing and submission of proposals and/or papers.

This position offers significant intellectual freedom and the chance to shapenovel research directions.

The McCrary Fellow will report to the McCrary Endowed Professor,who will serve as a mentor, providing guidance on projectprioritization, time management, and navigating collaborative opportunities within the college. This mentorship is designed tosupport the Fellow in effectively engaging with multiple facultyinterests and maximizing their impact on proposal development.

The successful candidate must meet eligibility requirements forwork in the United States at the time the appointment is scheduledto begin and continue working legally for the term of employment.

• Proactively identify and engage with faculty members across the College interested in integrating AI into their research.
• Collaborate in the conceptualization, design, and writing ofgrant proposals (e.g., NSF, USDA, DOE, DoD, foundations) focusing on AI applications in natural resource challenges.
• Contribute expertise in various AI techniques (e.g., machine learning, deep learning, computer vision, natural languageprocessing, predictive modeling, surrogate modeling) relevant to environmental data analysis, remote sensing, ecological modeling,conservation planning, and sustainable resource management.
• Assist in developing research methodologies and experimentaldesigns for proposed projects.
• Stay abreast of the latest advances in AI and natural resourcescience to identify emerging research opportunities.
• Participate in relevant college seminars, workshops, and research group meetings.

• Ph.D. in a relevant field such as Environmental Science,Forestry, Wildlife Ecology, Geography, Computer Science, Data Science, or a closely related discipline with a strong emphasis onAI/machine learning at the time the appointment begins.
• Demonstrated expertise in applying AI techniques to real-worlddatasets, ideally within the natural sciences.
• Strong track record of research, as evidenced by publicationsor significant contributions to research projects.
• Experience in grant proposal writing and development.
• Excellent written and oral communication skills, with the ability to articulate complex AI concepts to varied audiences.
• Strong interpersonal skills and a proven ability to work collaboratively in a team environment.
• Ability to manage multiple projects and deadlines effectively.

• Familiarity with natural resource management concepts and challenges.
• Proficiency in programming languages commonly used in AI/data science (e.g., Python,…