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Postdoctoral Associate
Massachusetts Institute of Technology in Cambridge, Massachusetts
 
 
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Date Posted 04/28/2021
Category
Admin-Other Administrative Positions
Employment Type
Application Deadline Open until filled
 
 
 
 
 

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, Mechanical Engineering, to perform cutting-edge research on projects centered around natural language processing (NLP) and machine learning methods applied to real-world data in the Design Computation and Digital Engineering (DeCoDE) laboratory.  Will primarily work on a project funded by an international development agency to explore ways to automate the aggregation of evidence and the production of evidence maps. It will require developing innovative tools to improve the speed and quality of evidence review.  Will be responsible for researching, designing, and applying automation methods and machine learning algorithms to study gap maps; and for filtering and comprehending documents on domains like agriculture, resilience, water and sanitation, nutrition, etc. 


Job Requirements
REQUIRED: Ph.D. in computer science, mechanical engineering, applied math, or related field; research experience in machine-learning/AI algorithm development; proficiency with programming methods such as Python, TensorFlow/PyTorch, and Julia; strong publication record in venues of applicant’s field of study; self-motivation and demonstrated ability to conduct independent research; strong analytical, problem-solving, communication, and interpersonal skills; a commitment to deliver results; adaptability; and the ability to work in a team-oriented environment with academic and industry partners.  Job #19537

Application material must include a single PDF that includes a cover letter specifying relevant qualifications and current research interests and expertise; a curriculum vitae; a statement of proposed research that discusses one new research direction related to machine learning that you would like to initiate and which aligns with your expertise; one peer-reviewed publication; and contact information for three references.

4/27/21

Applications will be reviewed on a rolling basis.  The start date is on or before September 1, 2021.  This is a one-year position with a possibility of extension.


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