Postdoctoral Associate - Atmospheric Sciences Research Center (2 vacancies)

University at Albany • Albany, NY

1d • Onsite

About The Position

The Atmospheric Sciences Research Center research group is contributing to a project focused on understanding future climate conditions and weather-related hazards across New York State. The project examines high-impact perils including extreme wind gusts, hurricanes, extratropical cyclones, tornadoes, hail, extreme precipitation, and coastal and inland flooding. A central objective is to generate high-resolution meteorological datasets using complementary physics-based numerical models and artificial intelligence-based downscaling methods.

The postdoctoral associate will conduct physics-based and AI-based modeling and analysis of meteorological hazards, as well as statistical analysis of financial loss datasets. The role includes reporting research findings weekly to the Empire Innovation Professor, presenting regularly to the project sponsor, and sharing findings through project reports, peer-reviewed publications, project meetings, and international conferences. The position reports to the Empire Innovation Professor and has no supervisory responsibilities.

Requirements

• PhD degree from a college or university accredited by the U.S. Department of Education or an internationally recognized accrediting organization.
• 1 to 5 years of relevant experience in atmospheric modeling.
• Extensive experience in Python programming.
• In-depth understanding of deep learning.
• Proficiency in machine learning frameworks such as PyTorch, Keras, TensorFlow, or JAX.
• Strong communication skills and fluency in English.
• Ability to work productively in a research team.
• Ability to develop inclusive and equitable relationships within a diverse campus community.
• Ability to support diversity, equity, access, inclusion, and belonging relative to the role.

Nice To Haves

• 1 to 5 years of experience in machine learning.
• PhD degree in atmospheric science, meteorology, environmental science, engineering, or a closely related field.
• Working experience with mesoscale models such as WRF.
• Peer-reviewed publications in atmospheric modeling.

Responsibilities

• Conduct physics-based modeling and analysis of meteorological hazards.
• Conduct AI-based modeling and analysis of meteorological hazards.
• Perform statistical analysis of financial loss datasets.
• Report research findings weekly to the Empire Innovation Professor.
• Present research findings to the project sponsor on a regular basis.
• Present research findings at international conferences.
• Disseminate research results through project reports, peer-reviewed journal publications, project meetings, and conferences.
• Perform other reasonable duties as assigned.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: Ph.D. or professional degree