Description

We are looking for a postdoctoral fellow to work on an educational technology project in the Human-Computer Interaction Institute at Carnegie Mellon University, under the guidance of Prof. Vincent Aleven. The postdoc will work on the PLUS (Personalized Learning Squared) project, which aims to double the rate of math learning in middle school students, particularly those who have been historically underserved. This project runs in collaboration with Carnegie Learning and Stanford University and is led by Principal Investigator Prof. Ken Koedinger. We are currently working with 5 large school districts in Pennsylvania, Maryland, and California with over a dozen schools on the waitlist. Our team consists of diverse individuals with backgrounds ranging from experienced researchers to high-tech to small startups and we operate in a fast-paced and fun environment.

Job requirements
  • Data analysis to understand how tutors affect students in AI-based classrooms
  • Design-based research with teachers, tutors, and students, to create novel analytics
  • Development, prototyping, and evaluation of tutor support tools in real educational settings
  • Participate in the design/co-design of analytics or decision support for teachers, tutors, and other stakeholders (e.g., recommender systems)
  • Help with mentoring students who work on the projects
  • Publishing the scientific results and presenting them at major conferences.
Qualifications

Minimum qualifications:
  • PhD in human-computer interaction, computer science, cognitive science, information systems, informatics, or a related field.
  • Dissertation research related to education technology
  • Publications in international conferences and/or journals related to education, educational technology, or educational data mining (conferences such as AIED, LAK, EDM, etc.)
  • Ability to work in research teams while helping to shape on-going research
Preferred qualifications (not required, but would strengthen the candidacy)
  • Experience in design-based research in education
  • Experience classroom research
  • Experience in designing and developing web-based interactive tools
  • Software engineering experience
  • Experience with educational data mining / learning analytics
  • Data analysis skills with R/Python/or similar programming languages
  • Experience working in schools (e.g., as a teacher)
What We Offer:
  • Competitive salary and benefits package including an automatic 8% monthly contribution to a retirement plan
  • Professional development opportunities including tuition benefits at CMU for you and your dependents
  • Comprehensive health insurance and generous vacation time
  • Chance to work with the world’s foremost learning science researchers
  • A fun, high-octane team that will work with you every step of the way
Salary: $60,000-$75,000

Application Instructions

Applications must include resume or curriculum vitae.

If you have questions, please feel free to contact Vincent Aleven at aleven@cs.cmu.edu

Equal Employment Opportunity Statement

Carnegie Mellon University shall abide by the requirements of 41 CFR §§ 60-1.4(a), 60-300.5(a) and 60-741.5(a). These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, or national origin. Moreover, these regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, national origin, protected veteran status or disability.

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