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
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.
Massachusetts Institute of Technology is a private research university.