List of Open Positions
We are seeking postdoctoral scholars to develop the scientific and mathematical foundations for the first Earth system model (ESM) that automatically learns from global observations and targeted high-resolution simulations of clouds, turbulence, and other elements of the Earth system. As a CliMA postdoctoral scholar at Caltech, you will collaborate with a dynamic, multi-disciplinary team of curious and creative scientists, engineers, and applied mathematicians, spanning Caltech, NASA’s Jet Propulsion Laboratory, the Massachusetts Institute of Technology, and the Naval Postgraduate School.
You will advance the state of knowledge and contribute to the development of a data-informed ESM in one or more of several possible ways:
- Devising fast and scalable data assimilation and machine learning (DA/ML) algorithms that allow a computationally complex ESM to learn from diverse data sources, such as satellite observations or high-resolution simulations of turbulent flows;
- Developing parameterizations of subgrid-scale processes in the atmosphere that are suitable for DA/ML approaches, including models for turbulence, clouds, and convection;
- Developing components of a land hydrology and biosphere model that uses DA/ML algorithms to learn from space-based observations of the hydrologic cycle and of the biosphere (CO2 and methane concentrations, solar induced fluorescence etc.);
- Prototyping and building capabilities to run high-resolution large-eddy simulations on demand within a global ESM; or
- Investigating processes controlling key climate features, such as cloud feedbacks, aerosol-climate interactions, or evapotranspiration and carbon uptake by the land biosphere.
We are seeking to fill several postdoctoral positions, spanning a range of expertise from computational and applied mathematics to the atmospheric and oceanic sciences.
As minimum qualification, you 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 physical, mathematical, and/or computational background;
- Programming experience in at least one general purpose language;
- Demonstrated effective written and verbal communication skills.
We prefer for you to have
- A track record of publications in the peer-reviewed literature;
- Experience with high-performance parallel computing;
- Experience working in multi-disciplinary teams and interacting cross-functionally with a wide variety of people.
For more information about the modeling initiative and positions, please contact us at firstname.lastname@example.org.
- a curriculum vitae,
- a one-page statement of research interests, and
- three letters of recommendation
should be submitted at the link below.
Instructions for Applicants
- Create an account.
- Fill out the application form.
- Upload a curriculum vitae and a one-page statement of research interests (as individual files or in one combined pdf).
- After you submit your application form, send the link that is provided to your three references and have them upload their letters of recommendation.