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Senior Scientist- Intelligent Tutoring

Title: Senior Scientist- Intelligent Tutoring Summary:

Are you passionate about building and designing adaptive training and intelligent tutoring systems? Do you enjoy designing AI algorithms and applications that help to make learning more efficient and effective? We are seeking a senior level scientist with demonstrated expertise in adaptive training and intelligent tutoring systems, including AI methods to drive tutoring behaviors, algorithms and machine-learning approaches for assessing trainee performance and learning, methods for adapting training content to individual needs, and experience applying these capabilities in real-world training applications. In this position, you will collaborate with and lead teams of scientists, software engineers, and designers. You will advance the state of the art in intelligent tutoring systems across a variety of high-impact domains , including maintenance training, large-scale team operations, medical procedures, and cyber defense training. You will explore a variety of key enhancements to intelligent tutoring systems, including adaptive motivational support, student modeling, pedagogical strategies, student-tutor interactions, virtual agent coaching, and AI-based intelligent scenario guidance. 

You will apply this research to a full range of challenges from foundational basic research to real-world applications.  You will be able to immediately contribute to well-funded ongoing research programs across this spectrum, and you will have the flexibility to expand those research thrusts into additional areas of your research interests as you pursue, collaborate on, and lead projects in these areas.

Recent related Charles River Analytics news and efforts:

Maintenance-based Training using Adaptive Gaming and a Pedagogic Interpretation engine (MAGPIE):

Advanced Medical Training and Assessment:

Modeling and Comparing Nurse and Physician Trauma Assessment Skills:

Areas to be Explored:
  • AI for assessing performance and adapting training
  • New methods for adapting training content to individual needs
  • Applications of machine learning to model learning curves and training progression
  • Opportunities for learning transfer in career development
  • Methods to guide instructors to produce more effective training and/or handle more students
  • Methods to motivate more effective learning in training applications
  • Integrations of intelligent tutoring systems with games and simulations
  • Applications of agent architectures and/or cognitive models for virtual coaching
  • Empirical evaluations of training and intelligent tutoring systems
Major Responsibilities/Activities:
  • Analyze and understand customer problems and issues to convert these insights into system requirements
  • Pursue novel technologies to implement solutions, including establishing new areas of research
  • Present innovative technical solutions at briefings, workshops, and conferences to customers, collaborators, and the research community
  • Work with experienced software engineers to develop and implement solutions
  • Conduct technical discussions with customers
  • Write and contribute to proposals, reports, and research papers
Minimum Requirements:
  • U.S. Citizenship
  • Doctorate degree in Computer Science (or a related field) with a focus on adaptive training and intelligent tutoring (or equivalent work experience)
  • Strong verbal and written skills to support proposal writing, interaction with customers, and presentations at technical conferences
  • Significant experience with intelligent tutoring in one or more sub-fields

Charles River Analytics offers competitive compensation plus bonus and profit-sharing, with an attractive benefits package including: 100% employer-paid medical and dental insurance, as well as vision, life and disability insurance, paid maternity/paternity leave, tuition reimbursement, monthly gym allowance, free parking, generous paid time off, and a casual environment. We are also accessible by public transportation.

Company Name:
Security Clearance:
Cambridge, Massachusetts
United States
Not Specified
Job Number:

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