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Google Scholar Jobs (NOW HIRING)

Emory University

Post Doctoral Fellow

Atlanta, GA · On-site

$47K - $64K/yr

Google Scholar: scholar.google.com profile * ResearchGate: researchgate.net/profile/Eleftherios-Michailidis NOTE: Position tasks are required to be performed in-person at an Emory University location ...

Emory University

Post Doctoral Fellow

Atlanta, GA · On-site

$47K - $64K/yr

Google Scholar: scholar.google.com profile * ResearchGate: researchgate.net/profile/Eleftherios-Michailidis NOTE: Position tasks are required to be performed in-person at an Emory University location ...

Emory University

Post Doctoral Fellow

Atlanta, GA

$47K - $64K/yr

Google Scholar: scholar.google.com profile * ResearchGate: researchgate.net/profile/Eleftherios-Michailidis NOTE: Position tasks are required to be performed in-person at an Emory University location ...

CivicMinds, Inc.

Research Assistant

San Francisco, CA · On-site

$22.75 - $31.25/hr

Demonstrated knowledge of Westlaw, Courtlink, VitalLaw, Heinonline, Accurint, TLO, PubMed, Google Scholar and PACER * Knowledge of relevant firm computer programs (e.g. Outlook, Excel, Adobe), with ...

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$132K

$191.3K

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How much do google scholar jobs pay per year?

As of Aug 14, 2026, the average yearly pay for google scholar in the United States is $191,250.00, according to ZipRecruiter salary data. Most workers in this role earn between $141,000.00 and $253,500.00 per year, depending on experience, location, and employer.

What are some common career paths and advancement opportunities for a Google Scholar?

Academic researchers and Google Scholars often start in postdoctoral or junior research positions, gradually advancing to roles such as assistant professor, principal investigator, or research director. Career growth can also involve moving into interdisciplinary research teams, securing independent grants, or taking on leadership roles in projects and academic departments. Transitioning into roles within industry, think tanks, or government research organizations is also common. Advancement is generally driven by a strong publication record, successful grant applications, and contributions to the academic community through presentations and collaborations. Building a professional network and developing expertise in high-impact research areas can further enhance career prospects.

What are the key skills and qualifications needed to thrive as a Google Scholar?

To thrive as a Google Scholar (academic researcher), you need advanced research skills, strong analytical abilities, and typically a graduate degree (often a Ph.D.) in your field. Proficiency with databases, statistical software (such as SPSS or R), and citation management tools is essential. Excellent written communication, critical thinking, and the ability to work independently or in collaborative teams make someone stand out in this position. These skills are crucial for producing high-quality, impactful research and advancing knowledge in academia or research institutions.

How can I become a Google Scholar?

Google Scholar is a freely accessible search engine for scholarly literature and does not have a job position called 'Google Scholar.' If you are interested in working in academic research or related fields, gaining a strong background in your area of expertise, publishing research, and developing skills in information retrieval and data analysis can help you pursue roles in academic or tech organizations that develop or utilize scholarly search tools.
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Google Scholar jobs near you
Infographic showing various Google Scholar job openings in the United States as of August 2026, with employment types broken down into 1% Internship, 86% Full Time, 8% Part Time, and 5% Contract. Highlights an 71% Physical, 4% Hybrid, and 25% Remote job distribution, with an average salary of $191,250 per year, or $91.9 per hour.

PhD Research Intern AI Memory Personalized Education

7Edu Impact Academy

Cupertino, CA • On-site

Other

Retirement

Re-posted 17 days ago

Job 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 Role

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

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.

Apply