Regional Climate Prediction

We seek a distinguished scientist to lead a major expansion in Argonne’s research and modeling efforts in computational climate science, with a focus on developing the scientific and technological capabilities required for regional climate prediction.

Our Program Goals

The candidate is expected to provide leadership to laboratory climate science programs and serve as the laboratory's primary representative on climate change science to our sponsors and others. The selected candidate will also work with Argonne researchers and other partners to develop collaborative strategies using observations, innovative computational methods, and some of the world's most powerful high-performance computers. We expect that this leadership role, along with the candidate's individual research, will build a stronger computational climate program at Argonne.

Our goal is to improve scientific understanding of regional climate change. To achieve this goal, we envision a four-pronged approach:

  • Develop a high-resolution climate model capable of addressing regional scales, validation, and uncertainty quantification.
  • Build and maintain long-term observational capabilities for climate-related processes that reduce the high uncertainty in current climate model forecasts.
  • Construct regionally focused climate datasets, climate model simulation outputs, and analytical and visualization tools for input to integrated assessments.
  • Address important policy issues concerning adaptation and mitigation responses to climate change at the regional scale.
GVR

How does one apply?

The typical candidate will have a Ph.D. in a relevant field and 15 years of experience, or the equivalent.

Interested candidates should apply online for the position of Sr. Computational Climate #315579 and submit the following for full consideration:

  • Curriculum vitae
  • Research accomplishments
  • List of publications, major software developed, and significant presentations
  • Brief statement of research interests

For technical questions, please contact Tony Dvorak at advorak@anl.gov or Ian Foster at foster@anl.gov.

Argonne's Capabilities

Current climate research efforts at Argonne include extensive work on models and computational tools for atmospheric processes, the terrestrial carbon cycle, and economic dimensions of climate change. Argonne also has expertise in atmospheric remote sensing instrumentation and advanced observational networks. The Laboratory operates a full spectrum of high-performance computing resources, including a 160,000-core, 500 Teraflop/sec IBM BG/P, and has deep expertise in scalable, parallel computing methods and optimization.