Oregon State University is offering a funded PhD position in Anthropology with a focus on Artificial Intelligence, mapping, and Amazon forest research. The opportunity is led by Associate Professor Shaozeng Zhang, whose expertise spans anthropology and engineering. The research will address topics such as Amazon forest conservation, environmental and climate change, geospatial science, crowd-sourced mapping, and the environmental/carbon footprints of AI and human-AI collaboration. Applicants must have a master's degree in anthropology or a closely related field, proficiency in English and Portuguese, and experience with qualitative and quantitative data analysis in the social sciences. Strong communication, interpersonal skills, and the ability to work collaboratively are essential, as is the willingness to travel to forest communities in the Brazilian Amazon. Preferred candidates will have interdisciplinary experience, knowledge of Amazon forest conservation, environmental changes, GIS analysis, and experience working with diverse stakeholders including indigenous communities. The position provides graduate assistantship support for four years, including summer funding for field research and stipends. Tuition is covered, and students receive financial support for living expenses. The program encourages applicants to review faculty research interests and contact potential major professors before applying. Application materials include transcripts, three letters of reference, a personal statement, writing sample, CV, and proof of language proficiency. International students must submit TOEFL scores and demonstrate proficiency in a second language equivalent to ACTFL intermediate high. The deadline for applications is January 15, 2026. For more information, applicants can visit the program website or contact Dr. Shaozeng Zhang directly. This opportunity is ideal for students interested in combining anthropology, environmental science, computer science, and geography to address pressing issues in the Amazon and the intersection of technology and conservation.