POSTDOCTORAL ASSOCIATE, Institute for Data, Systems, and Society (IDSS) and MIT Digital Learning Lab, to contribute to the new MicroMasters in Data Science online course series. Will play a critical role in editing, administering, and recording supplementary lectures for online courses. Will be expected to conduct independent research, and will have access to MIT institutional data from online courses, which can play a critical role in this research.
REQUIRED: a Ph.D. in statistics, mathematics, computer science, data science, or related discipline; in-depth knowledge of statistics, probability, machine learning, and data analysis; and evidence of an ability to develop and deliver lectures and class material at the graduate level. Familiarity and experience with statistical software and analytic tools to analyze data (e.g., Python, MATLAB, R, etc.) would be beneficial. Seek candidates who demonstrate creative approaches to experimenting in online learning, are driven to innovate, and are enthusiastic about both theory and application online learning. Job #15397
In addition to applying online with a CV and statement of purpose in the cover letter via the MIT website, applicants are asked to submit contact information for three references and a statement of prior teaching to email@example.com. Questions may be directed to the same email address. Applications will be accepted through December 29, 2017, and will be reviewed on a rolling basis.
This is a one-year position starting September 2018, with the possibility of extension based upon satisfactory performance and funding.
MIT is an equal employment opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, color, sex, sexual orientation, gender identity, religion, disability, age, genetic information, veteran status, ancestry, or national or ethnic origin.
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