PhD and Postdoc Positions in AI Agents and Human Learning at Norwegian University of Science and Technology Norwegian University of Science and Technology in Norway

The Norwegian University of Science and Technology (NTNU) is seeking candidates for both PhD and postdoctoral positions in the field of Artificial Intelligence, specifically focusing on the development of AI agents and their application to enhance human learning. These positions are part of the Norwegian AI Center (AI Learn) and involve research on multi-agent communication and experimentation with students to improve educational outcomes.

The research will center on designing, implementing, and evaluating AI-driven systems that facilitate human learning, with a strong emphasis on multi-agent systems, machine learning, and educational technology. Candidates will have the opportunity to work in a vibrant academic environment, collaborating with leading experts in AI and education technology.

Applicants should have a solid background in computer science, artificial intelligence, or related disciplines. For the PhD position, a master's degree in a relevant field is required, while the postdoctoral position requires a completed PhD. Experience with AI agents, multi-agent systems, or educational technology is highly desirable. Proficiency in English and strong communication skills are expected.

While specific funding details are not provided in the announcement, NTNU typically offers fully funded positions with competitive salaries and benefits according to Norwegian standards. Interested candidates are encouraged to consult the official calls for precise information regarding funding, eligibility, and application procedures.

To apply, candidates should review the official calls linked in the announcement and submit their applications through the NTNU or Jobbnorge online portals, ensuring all required documents are prepared and submitted as per the instructions.

Keywords: Artificial Intelligence, AI agents, Human Learning, Multi-Agent Systems, Education Technology, Machine Learning.