Postdoctoral Scholar - AI in Earth and Environmental Sciences at Syracuse University - ScoutJobs - The AI-curated global job board
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Syracuse University
Posted a day ago

Postdoctoral Scholar - AI in Earth and Environmental Sciences

Syracuse University

Requirements

Ph.D. in geoscience, hydrology, or related field, Experience in AI/ML or environmental data science, Strong quantitative and programming skills, Ability to work with complex geospatial datasets, Scientific communication skills

Skills

AIMachine LearningPython

About the role

Responsibilities

  • Develop and apply AI, machine learning, and statistical modeling approaches to large geochemical, hydrologic, and geospatial Earth system datasets.
  • Create AI/ML-enabled workflows to characterize energy and environmental systems, including oil and gas well integrity and condition.
  • Investigate the application of foundation AI models in catchment sciences, such as riverine hydrogeochemistry and watershed elemental cycles.
  • Integrate and manage heterogeneous datasets from multiple sources, including remote sensing, regulatory, and observational data.
  • Build reproducible computational workflows for data synthesis, feature engineering, and uncertainty assessment.
  • Prepare manuscripts for peer-reviewed publication and present findings at scientific conferences.
  • Mentor graduate and undergraduate students in coding, data analysis, and reproducible research practices.

Requirements

  • Ph.D. in geoscience, hydrology, geochemistry, environmental science, data science, or a closely related field.
  • Demonstrated experience in artificial intelligence, machine learning, or environmental data science.
  • Strong quantitative, programming, and data analysis skills.
  • Ability to work with complex geospatial, hydrologic, or geochemical datasets.
  • Proven scientific communication skills through publications or presentations.
  • Ability to work both independently and collaboratively in an interdisciplinary environment.

Preferred Qualifications

  • Experience with foundation AI models, deep learning, or transfer learning applied to scientific datasets.
  • Proficiency in scientific programming with Python or R.
  • Experience using reproducible research tools such as Git/GitHub, Jupyter notebooks, or Quarto.
  • Knowledge of subsurface energy systems, environmental risk assessment, or catchment sciences.
  • Experience integrating diverse datasets like stream chemistry, land cover, and remote sensing products.

About the Company

Syracuse University is a private, international research university located in the geographic heart of New York State. With over 150 years of history, the university offers a diverse range of academic programs and a vibrant, engaged campus community dedicated to research excellence and student success.

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Postdoctoral Scholar - AI in Earth and Environmental Sciences

Syracuse University · Syracuse

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