Research Intern – Neuroscience, Learning and AI in Higher Education

Contributes to UNU Macau research on neuroscience, learning and artificial intelligence in higher education, including a forthcoming Springer publication and related policy products. The remote intern reviews literature, analyses evidence, develops policy recommendations and drafts research communications that connect learning science with educational policy and practice.

• Conduct literature reviews on neuroscience, learning, education and artificial intelligence in higher education
• Support research and analysis for the Springer book on artificial intelligence and higher education
• Explore how neuroscience and learning science can inform educational policy and practice
• Contribute to policy outputs and recommendations using neuroscience-informed approaches
• Draft blogs, research papers, journal articles and other knowledge products
• Prepare, organize and analyse research materials and evidence

• Master’s degree or above in neuroscience, education, learning sciences, psychology, AI, social sciences or a related field
• Strong research, analytical and academic-writing skills
• Demonstrated ability to conduct literature reviews and synthesize academic research
• Excellent written and spoken English
• Ability to work independently and effectively in a remote environment

• Working knowledge of another UN language
• Strong interest in the intersection of neuroscience, learning, artificial intelligence and higher education

• Literature Review
• Academic Research
• Research Analysis
• Policy Analysis
• Academic Writing
• Evidence Synthesis
• Neuroscience
• Artificial Intelligence

• Remote internship from 5 October to 4 December 2026
• UNU does not sponsor a working visa for this position
• Applicants submit a cover letter, CV and examples of relevant research work in English