Raffaele Ferrari

This postdoctoral associate position is offered by the Department of Earth, Atmospheric & Planetary Sciences at the Massachusetts Institute of Technology (MIT), in collaboration with the Climate Modeling Alliance (CliMA), which includes partners at Caltech and NASA's Jet Propulsion Laboratory. The successful candidate will join a multidisciplinary team focused on developing a next-generation, GPU-based climate model that learns physics from data to improve the accuracy of climate projections. The role involves collaborating with oceanographers, mathematicians, and software engineers to develop, validate, and utilize the ocean component of this innovative climate model. The project leverages the Julia programming language to ensure the model is flexible, user-friendly, and easily extensible. Applicants should have a Ph.D. in applied mathematics, atmospheric or oceanic sciences, computer science, engineering, physics, statistics, or a related field by the date of hire. Essential qualifications include a strong background in physical, mathematical, and computational sciences, experience with programming (preferably Julia) and parallel computing, and excellent communication and teamwork skills. The position is for one year, with the possibility of extension, and the start date can be any time after September 1st. Application materials include a cover letter, CV, one peer-reviewed publication, and three recommendation letters. Applications are reviewed on a rolling basis. For further information, candidates may contact Prof. Raffaele Ferrari at MIT. This opportunity is ideal for candidates interested in cutting-edge climate modeling, interdisciplinary collaboration, and advancing computational approaches in Earth sciences.

This postdoctoral associate position in Earth, Atmospheric & Planetary Sciences at the Massachusetts Institute of Technology (MIT) offers the opportunity to work with the Climate Modeling Alliance (CliMA), a collaborative team involving MIT, Caltech, and NASA’s Jet Propulsion Laboratory. The project focuses on developing a next-generation, GPU-based climate model that learns physics from data to improve the accuracy of climate projections. The successful candidate will collaborate with oceanographers, mathematicians, and software engineers to develop, validate, and utilize the ocean component of this innovative climate model, which is built using the Julia programming language for flexibility and extensibility. The position requires a Ph.D. in applied mathematics, atmospheric or oceanic sciences, computer science, engineering, physics, statistics, or a related field, along with a strong background in physical, mathematical, and computational sciences. Experience with programming (preferably Julia), parallel computing, and effective communication skills are essential. The role demands self-motivation, independent research capability, analytical and problem-solving skills, and the ability to work in a multidisciplinary, team-oriented environment. Application materials include a cover letter, CV, one peer-reviewed publication, and three recommendation letters. The position is for one year, with the possibility of extension, and the start date is flexible after September 1st. For further information, applicants may contact Prof. Raffaele Ferrari. This is an excellent opportunity for postdoctoral researchers interested in climate modeling, ocean science, and computational methods to contribute to a cutting-edge project with significant scientific impact.