PhD Candidate in Multi-Agent Communication to Enhance Human Learning Norwegian University of Science and Technology in Norway

The Department of Computer Science at the Norwegian University of Science and Technology (NTNU) invites applications for a PhD Candidate position focused on Multi-Agent Communication to Enhance Human Learning. This opportunity is part of the newly established AI Centre for the Empowerment of Human Learning (AI LEARN), a national initiative dedicated to advancing responsible, human-centered artificial intelligence in education. AI LEARN aims to create an internationally leading interdisciplinary hub for foundational research, innovation, governance, and capacity building in AI for learning.

The PhD project is associated with the Technological Advancement cluster of AI LEARN and seeks to develop state-of-the-art multi-agent communication protocols and innovative educational technologies. The research will involve designing, developing, and evaluating AI models and agents, as well as multi-agent networks that support and improve human learning outcomes. Key technical approaches include semi-autonomous interaction (single-shot and multi-turn), supervised and unsupervised fine-tuning of models (such as Retrieval-Augmented Generation, Low-Rank Adaptation, Direct Preference Optimization, and Reinforcement Learning from Human/AI Feedback), and extensive empirical experimentation with collaborating partners in schools and public/private sectors.

The successful candidate will join the Software Engineering research group and participate in a range of activities, including literature review, participatory design workshops, service and interface implementation, case studies, empirical data collection and analysis, report and article writing, conference attendance, and dissemination within the AI LEARN centre. Collaboration with a postdoctoral researcher is expected to establish frameworks and technologies for interactive and adaptive learning experiences.

Applicants must hold a Master's degree in Computer Science or a closely related field (Machine Learning, Artificial Intelligence, Learning Technology), with a strong academic record (B or better on NTNU's scale). Good written and oral English skills are required, with specific minimum scores for TOEFL, IELTS, or Cambridge exams. Solid knowledge of quantitative and qualitative research methods is essential. Candidates lacking proficiency in Norwegian, Swedish, or Danish at level A2 must complete Norwegian courses during employment. Preferred qualifications include research assistant experience, relevant publications, and presentation skills in Norwegian/Scandinavian.

The position offers a gross annual salary of NOK 550,800, favorable pension terms, working capital for project implementation, and access to NTNU's employee benefits. The employment period is three years, with a possible extension to a fourth year for career promotion work. NTNU values diversity and encourages applications from candidates of all backgrounds. The university is located in Trondheim, a vibrant city known for its tech industry, cultural scene, and high quality of life.

To apply, submit your application and required documents electronically via Jobbnorge.no by December 12, 2025. For questions about the position, contact Professor Kshitij Sharma at [email protected].