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. Application Process Please 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.
PhD Research Intern AI Memory & Personalized Education
Location
United States
Posted
16 days ago
Salary
Not specified
No structured requirement data.
Job Description
Role Description
We 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 specifications.
Benefits
- 401(k) matching
- Flexible schedule
- Opportunity for advancement
Company Description
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.
Application Process
Please 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.
Job Requirements
- 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 specifications.
Benefits
- 401(k) matching
- Flexible schedule
- Opportunity for advancement
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