Postdoctoral Fellow in Multi-Agent Communication to Scaffold Learning Processes

NTNU - Norwegian University of Science and Technology · Trondheim, Norge

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Company
NTNU - Norwegian University of Science and Technology
Location
Trondheim, Norge
Posted
August 11, 2026

About this job

https://youtu.be/Xt-yHCN5QS0 About the position We offer an exciting 3-year or 4-year (subject to available teaching and duty work) postdoctoral position that gives you the opportunity to develop a strong profile as researcher. You will also gain valuable experience that might be relevant for your further career. The purpose of a postdoctoral position is to build up a researcher profile that qualifies for a position as associate professor. The position may also offer additional skills that are relevant to the postdoctoral fellow's future career. Apply for this position to become part of our research environment and take the next step in your career with us. This postdoctoral fellowship is part of the newly established AI Centre for the Empowerment of Human Learning (AI LEARN). Six national research centers for Artificial Intelligence are set to launch in the fall of 2025. These centers will foster interdisciplinary collaboration among researchers to address societal challenges, understand the impact of AI, develop new technologies, and drive innovation across both the business and public sectors. This initiative is established and financed through the government's significant investment in artificial intelligence over the next five years (regjeringen.no) (in Norwegian). Your immediate leader will be the leader of the Software Engineering unit. About the project AI LEARN is a new Centre dedicated to the empowerment of human learning through responsible, human-centred artificial intelligence. In a world where AI systems are reshaping how we learn, work and participate in democracy, our centre tackles the promise and peril of hybrid intelligence—human and machine working and learning together. AI LEARN’s mission is to establish an internationally leading interdisciplinary hub that advances foundational research, responsible innovation, robust governance and broad capacity building. This postdoctoral fellowship is associated with the second and third clusters of the center which focus on Technological Advancement and Hybrid Intelligence. The goal is to investigate how to evolve advanced, human-centered AI technology to empower human learning, including designing, developing and evaluating systems and models to enhance learning through AI technology. The Postdoc fellow will engage with developing AI-agents, models, frameworks and technologies for personalized and adaptive learning experiences, and for facilitating multi-agent communication to enhance human learning. We will utilize high quality datasets provided by our industry partners for model fine-tuning and alignment. Moreover, they will employ extensive experiments in collaborating partners (schools, public and private sectors) and engage with the analysis of the collected data. Moreover, the postdoctoral fellow will also support a smooth collaboration with the relevant national and international partners (e.g., communicate with the relevant industry and the public sector partners, organize international workshops, common research proposals). This work in conducted in collaboration with a PhD student. Duties of the position Carry out the relevant research tasks of the AI LEARN Centre. Produce relevant academic publications and popular science dissemination. Participate in the SE research group and the AI LEARN Centre. Participate and lead research funding applications and report on progress to funding sources. Participate in relevant international activities such as conferences and/or research stays at foreign educational institutions. Mentoring students (at a MSc and PhD levels), helping them with their research projects, and advising on methodology and academic writing. Organize dissemination and communication activities within the AI LEARN centre. Required selection criteria You must have completed a doctoral degree in Human-cantered AI, Hybrid AI, or a closely related field, such as Learning Analytics, Learning Technologies, Artificial Intelligence and Machine Learning, Interaction Design, with Human–AI Interaction as a central focus. If you are in the final phase of your doctorate and can document that the thesis has been submitted or that the defense date has been confirmed, your application can be considered even if you have not defended. NOTE: Documentation of the obtained doctorate must be presented before you can take up the position. Good oral and written presentation skills in English equivalent level. Applicants must provide evidence of good English language skills, written and spoken. The following tests can be used as such documentation: TOEFL, IELTS, or Cambridge Certif

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