Postdoctoral Research Associate in Machine Learning and Computer Vision

tldr; looking for ML and computer vision experts to mitigate contrail impacts

Date posted: Tuesday, May 14th

Laboratory for Aviation and the Environment (LAE) in the Department of Aeronautics and Astronautics is seeking a talented and curious Postdoctoral Associate to join a collaborative and interdisciplinary team of faculty and researchers in the areas of machine learning and computer vision applied to mitigation of aviation environmental impacts. In particular, we are developing the means to operationally avoid condensation trails (contrails) which cause climate impacts similar in magnitude to those from aviation CO2 emissions.

Research activities will include:

  • independent investigation in the areas of computer vision and machine learning applied to real-time satellite data, weather predictions, and flight-track data;
  • publishing and disseminating research findings to the applied machine learning as well as the aviation community;
  • mentoring graduate students, and complementing the team of researchers to advance the role of machine learning in mitigating aviation environmental impacts.

Preference will be given to candidates with experience handling remote sensing data and video object segmentation methods and models

Candidates should apply at https://careers.peopleclick.com/careerscp/client_mit/external/jobDetails/jobDetail.html?jobPostId=30178&localeCode=en-us

Candidates should submit the following: their C.V., a cover letter, and contact information for up to three references.

Appointments will be for one year with the possibility of renewal pending satisfactory performance and funding availability.

Reach out to prash@mit.edu if you have any questions.


Education:  
PhD (or equivalent) in computer vision, machine learning or a related field. 

Experience:

Candidates must have a background in machine learning with application to problems in climate science, remote sensing, or weather prediction. A publication record in these fields or related fields is preferred, but not expected.

Candidates are expected to be willing to expand their focus to cover several of the topics outlined in the scope of their work.

Required Skills:

  • Strong analytical, problem-solving, documentation, organizational, and interpersonal skills.
  • Proficiency in English communication and excellent technical writing skills required.
  • Proficiency in programming.
  • Strong interpersonal skills desired.
  • The ability to contribute in a multidisciplinary team setting, prioritize and perform multiple tasks in a dynamic environment, and execute detailed technical protocols.
  • Self-motivated and ability to prioritize and multitask.
  • Ability to work both independently and as part of a team.

The MIT Laboratory for Aviation and the Environment (LAE) envisions a green aerospace sector which connects the world and creates significant benefits for humanity. Research at LAE aims to: (1) advance our understanding of the environmental impacts of current and future aerospace technologies; and (2) develop technical and policy solutions which lead to a drastic reduction in the environmental impacts of aerospace technologies.

The Postdoctoral Associate will report to Prof. Ian Waitz and will be co-supervised by senior researchers at LAE.