Openings: Positions

  • Postdoctoral Scholar in Data-Informed Earth System Modeling at Caltech

    Climate change projections continue to be marred by large uncertainties. But new tools from computational science, data assimilation, and machine learning have brought rapid progress in this important area within reach. The California Institute of Technology (Caltech) invites applications for a postdoctoral scholar position in data-informed Earth system modeling. The postdoctoral scholar will develop data assimilation and machine learning algorithms for Earth system models, to allow them to learn systematically from diverse data sources, such as satellite observations or high-resolution simulations of turbulent flows in targeted regions.

    Candidates are expected to have completed a doctoral degree in  applied mathematics, atmospheric or oceanic sciences, computer science, engineering, physics, statistics or a related field at the time of the appointment. A strong mathematical and computational background is essential. Experience with high-performance computing and large datasets is desirable.

    For further information about the position, please contact Tapio Schneider (tapio@caltech.edu) or Andrew Stuart (astuart@caltech.edu), or visit climate-dynamics.org.

    Applications with a curriculum vitae, a one-page statement of research interests, and three letters of recommendation should be emailed to Bronagh Glaser (bglaser@gps.caltech.edu). Review of applications will begin on January 15 and will continue until the position is filled. The position is for two years, with appointment in the second year contingent on progress in the first year.

    Caltech and JPL are equal opportunity employers, and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, or national origin, disability status, protected veteran status, or any other characteristic protected by law.

  • PhD Projects in Climate Dynamics

    We always seek knowledgable and motivated graduate students for PhD projects in the climate sciences. Possible projects may address questions, for example, in large-scale dynamics such as, How do global precipitation patterns change under global warming? What shapes the trajectories and intensities of midlatitude storms? Or they may address questions in smaller-scale dynamics such as, How does cloud cover change under global warming? How can we improve the parameterization of clouds in climate models? One focus currently is the design of Earth system models that learn from observations and high-resolution simulations using methods from data assimilation and machine learning. There are opportunities for PhD students with strong computational backgrounds in this area, jointly advised by Andrew Stuart in Computing and Mathematical Sciences.

    PhD students need to have an undergraduate degree or equivalent in physics, mathematics, engineering, the atmospheric sciences, or a related field. A solid background in mathematics and physics is generally more important than prior experience in the atmospheric or climate sciences.

    If you are interested in a PhD project, please apply to Caltech‘s PhD program in Environmental Science and Engineering and/or contact Tapio Schneider (e-mail: tapio@caltech.edu). The deadline for applications is January 1.