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Remote Internship Opportunity: Research Fellow – Generative AI and Education Research 2025

Remote Internship Opportunity: Research Fellow – Generative AI and Education Research

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Deadline for Applications: February 16, 2025 (11:59 PM, Macau Time, GMT +8)
Stipend: $630 USD

Are you passionate about Generative AI, education research, and policy-oriented studies? The United Nations University (UNU) Institute in Macau is offering a prestigious remote internship opportunity as a Research Fellow in Generative AI and Education Research. Contribute to global knowledge at the intersection of technology and education, working with a globally recognized UN think tank.

About UNU and UNU Macau

The United Nations University (UNU) is a leading global academic institution dedicated to addressing global challenges through policy-relevant research and knowledge dissemination. UNU works across 12 countries and collaborates with UN agencies and top universities.

UNU Macau, part of UNU, specializes in digital technology and sustainable development. Situated in the rapidly evolving Greater Bay Area (GBA) of China, UNU Macau is at the forefront of technology and research in Asia.

Internship Responsibilities

As a Research Fellow specializing in Generative AI and Education Research, you will:

  • Conduct cutting-edge research on the applications of Generative AI in education.
  • Contribute to UNU’s AI and Sustainability book series with Springer Nature.
  • Explore AI tools and educational technologies for policy research.
  • Collaborate on blog posts and webinar organization.
  • Assist in AI conference planning for the 2025 UNU Macau AI Conference.
  • Support research proposal creation within the UNU Global AI Network.

Key Learning Objectives

  • Develop advanced research skills in AI and education.
  • Gain expertise in Generative AI tools for educational applications.
  • Improve your academic writing and policy analysis abilities.
  • Learn to organize international events and engage with global experts.
  • Strengthen professional networking and multidisciplinary collaboration.

Core Competencies Required

  • Research skills in Generative AI, education, or related fields.
  • Excellent writing in English.
  • Proficiency in Microsoft Office Suite and AI tools.
  • Strong problem-solving and collaboration skills.
  • Awareness of gender issues and inclusive digital policies.

Eligibility Requirements

  • Enrolled in or a recent graduate (within 2 years) of a Master’s or PhD program in education technology, AI, computer science, social sciences, digital media, law, or related fields.
  • Proven background in AI and education research.
  • Proficiency in prompt engineering and AI-based research methodologies.
  • Ability to work independently and manage multiple projects.

Internship Stipend & Duration

  • Monthly stipend: MOP 5,102.63 (~$630 USD) for full-time interns.
  • Part-time options available (stipend prorated accordingly).
  • Duration: 6 months, expected start date: March 2025 (or earlier).

How to Apply

Interested applicants should submit:

  • A brief cover letter in English stating interest and qualifications.
  • A complete CV in English.
  • Examples of relevant research work (publications, reports, etc.).

Deadline: February 16, 2025 (11:59 PM, Macau Time, GMT +8).
Apply Here

Important Notes

  • UNU does not sponsor visas for this internship.
  • Interns must have valid health and life insurance during the internship.
  • Diversity and inclusion are encouraged; applications from women and developing country scholars are highly welcomed.

Why Apply?

  • Work with a prestigious UN research institute.
  • Contribute to impactful AI and education research.
  • Gain international experience and expand your professional network.
  • Improve your research, writing, and AI skills.

Keywords for High CPC Countries

  • Generative AI Jobs
  • AI Research Fellowships
  • Remote UN Internships
  • Education Technology Research
  • Sustainable Development & AI
  • High-Paying AI Internships
  • United Nations Careers
  • AI and Policy Research
  • Future of AI in Education
  • Springer Nature AI Publications

Don’t miss this opportunity to shape the future of AI in education while gaining valuable UN experience. Apply today!

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