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Postdoctoral Scholar - AI in Earth and Environmental Sciences

Syracuse University  ·  Syracuse, NY
PostdoctoralNon-TenureEarth and Environmental Sciences

Position summary

Syracuse University Job Board Postdoctoral Scholar - AI in Earth and Environmental Sciences Bookmark this Position Posting Print Preview | Apply for this Job Posting Details Posting Details Job # 078788 Job Title Postdoctoral Scholar - AI in Earth and Environmental Sciences Location Syracuse, NY Campus Syracuse, NY Commitment to On-Campus Experience Syracuse University is committed to delivering an exceptional

student experience through vibrant, engaged campus communities. This position is based at the above campus location and requires regular in-person presence to support our students, collaborate with colleagues, and contribute to our thriving academic environment. Syracuse University values the collaboration, mentorship, and spontaneous connections that happen when our community works together on campus. Remote work

arrangements are limited in accordance with University policy. Pay Range $62,400 - $70,000 Pay Determination Salary offers at Syracuse University will be based on education, experience, and relevant skills, as well as the academic or professional discipline of the position in the context of the home department, school, or college. Salary offers may also be influenced by prior relevant work or industry experience,

where applicable. Faculty pay ranges are for 8.5 months’ salary unless otherwise specified. FLSA Status Exempt Hours Determined by supervisor. Job Type Full-time Rank Post Doc Unionized Position Code UA Job Description The Department of Earth and Environmental Sciences at Syracuse University invites applications for a Postdoctoral Scholar position in the Hydrogeochemistry and Environmental Data Sciences (HANDS)

research group. The position is broadly focused on artificial intelligence, machine learning, environmental data science, foundation AI models, and data-intensive Earth and environmental research. The successful candidate will contribute to two complementary research directions. One direction uses AI/ML, data science, and geologic/environmental datasets to assess energy and environmental systems, including oil and

gas well condition, characterization, and integrity-related questions. The second direction focuses on characterizing global water and elemental cycles, with emphasis on terrestrial and catchment systems. Together, these projects will use large geochemical, hydrologic, geospatial, regulatory, and environmental datasets to advance predictive, interpretable, and transferable approaches for Earth and environmental

Summary from the source posting. Always confirm details on the institution's official career page.

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