PhD Research Intern AI Memory & Personalized Education

7Edu Impact Academy

  • Cupertino, California
  • 30+ days ago
  • $5,000
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Skills

  • Accounts Payableunmatched
  • Artificial Intelligence (AI)unmatched
  • Child Supportunmatched
  • Computer Scienceunmatched
  • Decision Supportunmatched
  • Human-Computer Interactionunmatched
  • Machine Learningunmatched
  • Memory Hardwareunmatched
  • Mentoringunmatched
  • Modeling Languagesunmatched
  • Prototypingunmatched
  • Qualitative Researchunmatched
  • Quantitative Analysisunmatched
  • Quantitative Researchunmatched
  • Research Skillsunmatched
  • Software Administrationunmatched
  • Student Admissionsunmatched
  • Technical/Engineering Designunmatched
  • Training/Teachingunmatched

Description

Benefits:
  • 401(k) matching
  • Flexible schedule
  • Opportunity for advancement
About 7EDU
7EDU is an education technology organization dedicated to long-term academic planning and student development. For over a decade, we have supported K–12 learners through structured advising, college admissions strategy, and personalized mentorship, while building proprietary tools and frameworks to support scalable, data-informed guidance.
Our AI systems are designed to support longitudinal educational decision-making — integrating student progress, parental input, and instructional context to enable personalized, responsible, and evidence-based support.About the RoleWe are seeking a PhD-level researcher for a 10–12 week summer internship focused on a critical technical and design challenge: Educational AI Memory. The selected candidate will define how an AI system effectively retains, synthesizes, and utilizes long-term context from multiple perspectives to drive truly personalized education.We are building an advanced AI platform designed to facilitate long-term educational planning and decision-making across three key stakeholders: Students, Parents, and Teachers. This role combines theoretical framework design, applied AI prototyping, and empirical validation in a live product environment.
Key Responsibilities
  • Framework Design: Develop a theoretical framework for “Triangulated AI Memory” within an educational context.
  • Applied Research: Collaborate with the engineering team to prototype memory architectures (e.g., RAG systems, vector stores, long-term context management) aligned with pedagogical objectives.
  • User Modeling: Explore and formalize methods for representing evolving student, parent, and teacher perspectives within AI systems.
  • Validation Studies: Design and conduct qualitative and/or quantitative research to evaluate system utility, trust, and personalization effectiveness.
  • Product Translation: Translate research concepts into actionable technical specifications.
  • Publication: Contribute to a co-authored paper targeting top-tier venues (e.g., CHI, LAK, EDM, NeurIPS) based on the summer’s research. Qualifications
  • Currently enrolled in a PhD program in Computer Science, Human-Computer Interaction, Artificial Intelligence, Learning Sciences, or a related field, with a research focus in machine learning, memory architectures, user modeling, or human-centered AI
  • Strong track record of research in AI and machine learning
  • Demonstrated experience in User Modeling, Recommender Systems, Large Language Models (LLMs), or related areas
  • Solid understanding of the ethical, privacy, and design implications of AI in human-centered environments
  • Ability to translate theoretical research concepts into clear, actionable product and technical specificationsPlease email your application to: hiringteam@7edu.org Email Subject: AI Research Internship FULL NAME 
  • Resume
  • A brief cover letter outlining your research interests regarding AI memory or user modeling.
  • A link to Google Scholar or an attachment of one relevant writing sample/paper.

Flexible work from home options available.

Compensation: $5,000.00 per month

Numbers & Facts

LocationCupertino, California

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