Job Description

POSTDOCTORAL ASSOCIATE IN MACHINE LEARNING AND COMPUTER VISION, Aeronautics and Astronautics-Laboratory for Aviation and the Environment (LAE), to apply expertise in machine learning and computer vision to mitigation of aviation environmental impacts, particularly by avoiding condensation trails (contrails), which have climate impacts similar in magnitude to aviation CO2 emissions.  The role involves independent research activities in computer vision and machine learning applied to real-time satellite data.  Key responsibilities include contrail prediction and avoidance; publishing findings; mentoring graduate students; collaborating to advance contrail understanding, quantification, and mitigation; and assisting lab leadership with group projects and sponsor communications. 

LAE envisions a green aerospace sector benefitting humanity by striving to understand and minimize the environmental impact of aerospace technologies.

A full job description is available at https://lae.mit.edu/careers.  

REQUIRED:  Ph.D. (or its equivalent) in computer vision, machine learning or related field; strong analytical, problem-solving, organizational, and interpersonal skills; proficiency in English communication and programming; and ability to work independently as part of a multidisciplinary team.  PREFERRED: background in machine learning applied to climate science, remote sensing, video object segmentation methods and models, or weather prediction.  Job #24037

The position is renewable annually, contingent on performance and funding.

Applicants should provide their CV, cover letter, and up to three references.

5/14/24

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