Postdoctoral Research Scholar
Listed on 2026-08-05
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Software Development
Data Scientist, AI Engineer (Applied/Software)
Postdoctoral Research Scholar
Primary duties and responsibilities include:
Creating AI algorithms and workflows for extracting relevant data from large image datasets and integrating this extracted data with environmental information. Additionally, the postdoc will be responsible for ensuring the public accessibility of developed AI workflows and software and maintaining computer infrastructure to run these models.
Other work/responsibilities include presenting research findings at conferences and leading or contributing to peer-reviewed publications, with first authorship strongly encouraged. They will also have opportunities for mentoring undergraduate researchers while working in the Biodiversity Lab at the NC Museum of Natural Sciences, which is on public display. Professional development opportunities will include accessing training on teaching techniques and career paths, and attending workshops focused on interdisciplinary research, data sharing, and coding.
Contribution to science communication efforts, including public engagement products like physical exhibits, podcast episodes, and videos, will also be encouraged. Furthermore, responsibilities will include developing and maintaining a project website and ensuring the public accessibility of developed AI workflows and software on platforms like Git Hub, Hugging Face, PyPi, and Zenodo. The postdoc will also be encouraged and supported to lead or collaborate on grant preparation with other team members.
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Requirements and preferences include a work schedule of Monday through Friday, 8:00 a.m. to 5:00 p.m. Department required skills include a PhD in ecology, remote sensing, computer science, or related field. Expertise in developing, implementing, and optimizing advanced artificial intelligence (AI) models and algorithms for data analysis and extraction. This includes strong proficiency in programming languages such as Python and R to create and manage data workflows and conduct statistical analyses.
Experience with machine learning frameworks and techniques pertinent to image processing and data integration is essential. A key responsibility will be the ability to manage, collate, and integrate large datasets from various sources, including environmental and sensor data. Furthermore, a commitment to ensuring the public accessibility of developed AI workflows and software, through code repositories and user-friendly platforms, is required.
The role also demands excellent communication and presentation skills for scientific dissemination and public engagement.
Preferred years experience, skills, training, education include candidates who preferably hold a Ph.D. in Computer Science, Quantitative Ecology, or a closely related field with a strong emphasis on AI and data science. Demonstrated experience in developing and applying computational tools to large-scale scientific problems is highly valued. Familiarity with interdisciplinary research approaches, particularly at the nexus of computer science, remote sensing, and environmental sciences, is desirable.
An interest in contributing to educational and outreach initiatives and mentoring junior researchers, such as undergraduate students, is also preferred. Finally, prior experience in preparing and contributing to scientific publications and grant applications would be beneficial.
Anticipated hiring range is $58,656 - $68,656. Recruitment dates include a job open date of 07/23/2026. Quick link is (Use the "Apply for this Job" box below). NC State…
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