
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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Get started — it's freePostdoctoral Scholar - AI in Earth and Environmental Sciences
Syracuse University · Syracuse
