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

The Norwegian University of Science and Technology (NTNU) is offering a PhD position in Multi-Agent Communication to Enhance Human Learning within the Department of Computer Science, located in Trondheim, Norway. 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 to empower learning in society. The centre aims to foster interdisciplinary collaboration, address societal challenges, and drive innovation in AI technologies for education and beyond.

The PhD project is associated with the Technological Advancement cluster of AI LEARN and focuses on developing state-of-the-art multi-agent communication protocols and innovative educational technologies. The successful candidate will design, develop, and evaluate systems and models that enhance human learning through AI, including the creation of multi-agent networks and adaptive learning experiences. Research activities will involve training AI agents using supervised and unsupervised methods, such as Retrieval-Augmented Generation, Low-Rank Adaptation, Direct Preference Optimization, and Reinforcement Learning from Human/AI Feedback. Extensive experiments will be conducted in collaboration with schools and public/private sector partners, with a strong emphasis on empirical data analysis.

The position is embedded in the Software Engineering research group and offers a dynamic, international research environment. Duties include literature review, participatory design workshops, service and interface implementation, case study planning, data collection and analysis, report and article writing, conference attendance, and dissemination activities within the AI LEARN centre. The candidate will also collaborate with a postdoc to establish frameworks and technologies for interactive, adaptive learning experiences.

Applicants must hold a Master's degree in Computer Science or a closely related field, with a focus on Machine Learning, Artificial Intelligence, or Learning Technology. The degree must be equivalent to a five-year Norwegian course with 120 credits at the master's level. Strong academic performance (B or better on the NTNU scale) and proficiency in English (TOEFL, IELTS, or Cambridge CAE/CPE) are required. 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. Personal qualities such as independence, teamwork, analytical skills, and motivation are highly valued.

The position offers a gross annual salary of NOK 550,800, favorable pension terms, working capital for project implementation, and access to employee benefits. The employment period is three years, with a possible extension to four years for candidates engaging in duty work. Admission to the PhD programme in Computer Science is required within three months of starting the contract. NTNU provides a supportive, inclusive, and diverse working environment, with a strong commitment to equality and career development.

Applications must be submitted electronically via Jobbnorge.no by January 12, 2026, including all required documents: transcripts, diplomas, academic CV, master's thesis, short essay, cover letter, publications, and references. For questions about the position, contact Professor Kshitij Sharma at [email protected]. For recruitment process inquiries, contact HR at [email protected]. The city of Trondheim offers a vibrant cultural scene, excellent welfare services, and a high quality of life for residents.