Massachusetts Institute of Technology - Cambridge, MA
posted 5 months ago
The Postdoctoral Associate in Machine Learning and Computer Vision position at the Laboratory for Aviation and the Environment (LAE) within the Aeronautics and Astronautics department at MIT focuses on applying advanced machine learning and computer vision techniques to address environmental challenges associated with aviation. The primary goal of this role is to mitigate the environmental impacts of aviation, particularly by preventing the formation of condensation trails (contrails), which contribute to climate change effects comparable to those of CO2 emissions from aviation. This position involves conducting independent research that leverages real-time satellite data to predict and avoid contrail formation, thereby contributing to a greener aerospace sector. In this role, the Postdoctoral Associate will engage in various key responsibilities, including the development of algorithms for contrail prediction, publishing research findings in reputable journals, and mentoring graduate students in their research endeavors. Collaboration is a significant aspect of this position, as the associate will work closely with other researchers to enhance the understanding, quantification, and mitigation of contrails. Additionally, the associate will assist lab leadership with group projects and maintain effective communication with sponsors, ensuring that the lab's objectives align with broader environmental goals. The LAE is committed to fostering a sustainable aerospace industry that benefits humanity by minimizing the environmental impact of aviation technologies. This position offers an exciting opportunity to contribute to innovative research that has the potential to influence policy and practice in the aerospace sector.