Digital Learning Postdoctoral Associate, Center for Transportation and Logistics

Massachusetts, United States
21 Jun 2019
End of advertisement period
21 Aug 2019
Academic Discipline
Social Sciences, Education
Contract Type
Full Time

Functional Area: Research - Engineering
Department: Center for Transportation & Logistics
School Area: Engineering
Employment Type: Full-Time
Employment Category: Exempt
Visa Sponsorship Available: Yes

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.

DIGITAL LEARNING POSTDOCTORAL ASSOCIATE, Center for Transportation & Logistics (CTL), to conduct research in the area of digital learning.  Will apply descriptive analytics techniques to better understand learner’s behavior in a MOOC-based program; apply machine learning techniques to categorize learners and build predictive models; implement experiments in a MOOC-based program and evaluate their impact; perform data analysis and data analytics; extract, clean, and refine relevant data from BigQuery; analyze click stream data, survey data, and other sources of data; assist in the development, implementation, and evaluation of new digital tools and assessments; and assist in running MOOCs in supply chain management, which may involve developing course content, managing communication with learners, analyzing course data, and proposing course improvements.

Job Requirements

REQUIRED: a Ph.D. degree in data science, computer science, learning analytics, learning sciences, operations research, information systems, engineering, or a related discipline that includes domain-specific knowledge in data analytics, statistics, and educational data mining; teaching experience in higher education settings in STEM fields and proficiency evaluating the effectiveness of learning materials.; strong problem-solving skills; working knowledge of or familiarity with statistical software and analytics tools to analyze big data sets; track-record of working both independently and collaboratively; must be organized, able to support multiple projects simultaneously, work effectively in a fast-paced, rapidly changing work environment; and good communication skills and ability to build strong working relationships with teammates, faculty, and staff. Supply chain management knowledge would be a plus.  Job #17616

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.