Working at MIT offers opportunities, an environment, a culture - and benefits - that just aren't found together anywhere else. If you're curious, motivated, want to be part of a unique community, and help shape the future - then take a look at this opportunity.
POSTDOCTORAL ASSOCIATE, ATMOSPHERIC MODELING, Aeronautics and Astronautics , to contribute to research in atmospheric modeling and Earth observation data. The goal of the research is to investigate the impacts of aviation emissions on the climate and air quality. Specifically, research will include global and regional atmospheric simulation; exploitation of Earth observation data; applications of machine learning for Earth science; science and simulation of contrails; impacts of novel energy solutions; and the physics and chemistry of high-altitude emissions.
Job Requirements REQUIRED : PhD./equivalent degree in atmospheric or Earth sciences, environmental engineering, aerospace engineering, or related field; background in global atmospheric modeling with a focus on the climate and air quality impacts of anthropogenic emissions or in analyzing Earth observation data, preferably using machine learning; willingness to expand focus to cover several of the topics outlined in the scope of work; strong analytical, problem-solving, documentation, technical writing, organizational, and interpersonal skills; proficiency in English communication; ability to contribute in a multidisciplinary team setting, prioritize and perform multiple tasks in a dynamic environment, and execute detailed technical protocols meticulously; self-motivation; and ability to work both independently and as part of a team. PREFERRED : experience with atmospheric modeling using either regional/global CTMs, GCMs, or plume-scale models and/or Earth observation data; programming experience in Python, Julia, MATLAB, or other programming languages for data analysis; experience applying machine learning and deep learning methods to Earth science data; ability to work in Linux-based high-performance computing environments; and a publication record in the fields noted above or related fields. An ideal candidate will have demonstrated research and leadership in the area. Job #19459
Application material should include a C.V., a cover letter, and contact information for three references.
The appointment will be for one year with the possibility of renewal pending satisfactory performance and funding availability.
Internal Number: 19459
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