Remote United Nations Research Internship in Neuroscience, Learning and AI | $550 Monthly Stipend | Apply by September 18, 2026
Are you a Master’s graduate or researcher interested in neuroscience, learning, artificial intelligence (AI), education and research? A new remote United Nations research internship offers an opportunity to gain practical research experience while contributing to work examining the growing role of AI in higher education.
The United Nations University Institute in Macau (UNU Macau) is currently accepting applications for a Research Intern – Neuroscience, Learning and AI in Higher Education. The internship will provide an opportunity to contribute to ongoing research for a forthcoming Springer publication on AI and higher education, as well as related policy and knowledge products.
Opportunity: Research Intern – Neuroscience, Learning and AI in Higher Education
Location: Remote
Duration: October 5 – December 4, 2026
Stipend: $550 per month
Application deadline: September 18, 2026, at 11:59 PM Macau time (GMT+8)
About the Remote Research Internship
Artificial intelligence is transforming higher education, changing how students learn, how educators teach and how institutions develop policies and make decisions. At the same time, research into neuroscience and learning science can provide important insights into how people learn and how educational technologies should be designed and implemented.
This internship provides an opportunity to explore these issues through policy-oriented research, literature reviews and evidence-based analysis.
According to the official vacancy announcement, the successful intern will contribute to ongoing research for a forthcoming Springer publication on AI and higher education and related policy and knowledge products.
What Will the Intern Do?
The Research Intern will support research activities covering neuroscience, learning, education and artificial intelligence in higher education.
Key responsibilities include conducting literature reviews and research, supporting analysis for the forthcoming Springer book and exploring how neuroscience and learning science can inform educational policy and practice.
The intern will also contribute to policy outputs and recommendations, including approaches informed by neuroscience, and assist with preparing, organising and analysing research materials and evidence.
Another important part of the role involves developing written knowledge products. Interns may contribute to blogs, research papers, journal articles and other research outputs, making the opportunity particularly relevant for candidates interested in academic and policy writing.
Benefits of the Internship
This remote United Nations internship offers several opportunities for professional and academic development.
Interns can gain practical experience in a United Nations research environment while working on a contemporary topic with growing importance for universities, policymakers and researchers.
The role can also strengthen skills in:
- Academic research
- Literature reviews
- Research analysis
- Academic writing
- Policy research
- Evidence synthesis
- Research communication
- Policy recommendations
Contributing to a forthcoming Springer publication on AI and higher education can also provide valuable exposure to the research and publication process.
Who Can Apply?
The opportunity is particularly relevant to Master’s graduates, researchers and early-career professionals with an interest in neuroscience, learning, education, artificial intelligence or higher education.
Candidates with experience in academic research, literature reviews, analytical writing or education-related research may find the position especially relevant.
It could be a strong opportunity for individuals looking to develop careers in AI research, higher education, education policy, neuroscience, learning sciences, academia, research institutions or international organisations.
Why AI and Higher Education Matter
The growing use of AI in education is creating new opportunities as well as important policy questions.
AI tools can support personalised learning, research, educational content development and administrative processes. However, questions around responsible AI use, learning outcomes, ethics, evidence, bias and the role of human judgement remain important.
Research combining AI, neuroscience and learning science can therefore help policymakers and education institutions better understand how technology can be used responsibly and effectively.
UNU Macau is already active in research and initiatives connecting artificial intelligence, education and sustainable development. Its current work includes AI-focused research, education programmes and youth engagement opportunities.
Internship Details
Position: Research Intern – Neuroscience, Learning and AI in Higher Education
Organisation: United Nations University Institute in Macau
Work arrangement: Remote
Start date: October 5, 2026
End date: December 4, 2026
Duration: 2 months
Stipend: $550 per month
Deadline: September 18, 2026, at 11:59 PM Macau time (GMT+8)
How to Apply
Interested applicants should review the official vacancy information and submit their application before the deadline.
Application deadline: September 18, 2026.
Apply here: Official UNU Macau Research Internship Application
Applicants should make sure their application clearly demonstrates their relevant academic background, research interests, analytical skills and experience with academic or policy-oriented work.
Conclusion
The Remote United Nations Research Internship in Neuroscience, Learning and AI in Higher Education provides an exciting opportunity for Master’s graduates and researchers who want to gain international research experience while exploring the future of AI and education.
With a $550 monthly stipend, remote working arrangement and the opportunity to contribute to research supporting a forthcoming Springer publication, the internship could be particularly valuable for candidates building careers in research, artificial intelligence, higher education, neuroscience, learning science and education policy.
Eligible candidates should prepare their applications early and apply before September 18, 2026, at 11:59 PM Macau time (GMT+8).
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Disclaimer: Remote Job Opportunities (RJO) is not the organization offering this opportunity. For any inquiries, please contact the responsible organization directly. Please do not send your applications to RJO, as we are unable to process them. Due to the high volume of emails we receive daily, we may not be able to respond to all inquiries. Thank you for your understanding.
