Postdoctoral Researcher: AI Climate Emulation & Extreme Weather

The Pennsylvania State University; University Park (TX); Vor Ort; USD 60.000 - 75.000; Vollzeit

Zusammenfassung

The Pennsylvania State University invites applications for a full-time Postdoctoral Scholar to advance the HyperFORMANCE project. You will contribute to a multi-institutional team, developing global AI/ML earth system emulators and regional downscaling for large ensembles of extreme weather scenarios.

Working under Prof. Colin Zarzycki, you will deploy emulators, evaluate fidelity against physics-based benchmarks, and participate in publications and conferences.

Qualifikationen

• Ph.D. in atmospheric science, Earth science, computer science, physics, applied mathematics, or a closely related field, conferred prior to the start date.
• Demonstrated experience with scientific Python programming (NumPy, Xarray, Pandas, Scikit-learn).
• Experience with machine learning techniques (clustering, classification, dimensionality reduction, or emulation).
• Familiarity with large climate or weather datasets and analysis of extreme events.
• Experience in UNIX and high-performance computing environments.
• Strong written and verbal communication skills.
• Ability to work collaboratively in a multi-institutional team environment.

Aufgaben

• Deploy and analyze outputs from global AI/ML weather and climate emulators, including multi-decadal free-running simulations.
• Apply process-oriented diagnostics to evaluate emulator fidelity for extreme precipitation and cyclones.
• Compare emulator outputs against physics-based benchmarks and observations.
• Apply regional AI/ML downscaling tools to generate km-scale meteorological fields for impacts modeling.
• Contribute to development and refinement of downscaling workflows across testbed regions.
• Identify representative event archetypes spanning the distribution of extreme outcomes.
• Contribute to peer-reviewed publications documenting evaluator methods and scenarios.
• Present results at conferences (AGU, AMS).
• Collaborate with multi-institutional partners on scenario development and evaluation.
• Participate in project workshops and cross-team coordination meetings.

Kenntnisse

Scientific Python programming

Machine learning techniques

UNIX & HPC environments

Communication skills

Team collaboration

Extreme events analysis

Ausbildung

Ph.D. in atmospheric science / earth science / computer science / physics / applied mathematics

Jobbeschreibung

The Pennsylvania State University invites applications for a full-time Postdoctoral Scholar to advance the HyperFORMANCE project. You will contribute to a multi-institutional team, developing global AI/ML earth system emulators and regional downscaling for large ensembles of extreme weather scenarios.

Working under Prof. Colin Zarzycki, you will deploy emulators, evaluate fidelity against physics-based benchmarks, and participate in publications and conferences.