Massachusetts Institute of Technology Postdoctoral Associate, Computer Science Teacher Education in Cambridge, Massachusetts
Postdoctoral Associate, Computer Science Teacher Education
- Job Number:
- Functional Area:
Research - Other
Comparative Media Studies/Writing
- School Area:
Humanities, Arts, & Social Sciences
- Employment Type:
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- Visa Sponsorship Available:
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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, COMPUTER SCIENCE TEACHER EDUCATION, Comparative Media Studies/Writing (CMS/W)-Teaching Systems Lab, to conduct research into computer science teacher education in K-12 school districts and colleges of education. The Teaching Systems Lab develops teacher practice spaces--games and simulations that let teachers rehearse for and reflect on important decisions in teaching. Will help lead two research-practice partnerships--one with Massachusetts’ school districts and one with colleges of education--to broaden participation in computing education. Will use design-based research methods to co-design, implement, evaluate, and iteratively improve teacher practice spaces--embedded in professional learning experiences--that focus on equity teaching practices in computer science teaching. Responsibilities will include developing and maintaining research-practice partnerships, developing innovative professional learning resources, conducting professional development with CS teacher educators and CS teachers in diverse settings, collecting and analyzing data, and writing publications for high-impact scholarly and practitioner venues.
REQUIRED: earned doctoral degree in learning science, computer science, teacher education, or related field; publication record directed at both scholarly and practitioner audiences; experience with design-based methods; familiarity with qualitative, quantitative, or mixed methods (including ethnography, learning analytics, evaluation, assessment, etc.); familiarity with artificial intelligence methods, ethics, and critiques; ability to work effectively with and contribute to cross functional groups; excellent interpersonal and communication skills; demonstrated experience with and commitment to promoting equity and diversity. Job #17679Some travel to field sites in the U.S. will be required. This is a temporary, one-year position. 7/10/19
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.