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Michail Giannakos

1 year ago

PhD Candidate in Human-AI Interaction and Learning Norwegian University of Science and Technology in Norway

Degree Level

PhD

Field of study

Computer Science

Funding

Available

Deadline

Expired

Country flag

Country

Norway

University

Norwegian University of Science and Technology

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Keywords

Computer Science
Education
Information Technology
Empirical Research
Human-computer Interaction
User Experience Design
Educational Technology
Problem Solving
Knowledge Co-production
Generative Modeling
User-centered Design
Responsible Innovation
Creative Practice
Multi-agent System

About this position

The Department of Computer Science at the Norwegian University of Science and Technology (NTNU) is offering a PhD fellowship in Human-AI Interaction and Learning, as part of the newly established AI Centre for the Empowerment of Human Learning (AI LEARN). NTNU is Norway’s leading academic IT environment, with a strong technical-scientific profile and a commitment to professional education and research. The AI LEARN centre is one of six national research centers for Artificial Intelligence launching in 2025, aiming to foster interdisciplinary collaboration to address societal challenges, understand AI’s impact, and drive innovation. The centre’s mission is to advance foundational research, responsible innovation, robust governance, and capacity building in human-centred AI.

This PhD position is associated with the Hybrid Intelligence cluster, focusing on how human-AI interaction and collaboration evolve in contemporary AI environments, including Generative AI and multi-agent ecosystems. The research approach integrates Design-Based Research (DBR) and Responsible Research and Innovation (RRI) principles. The PhD fellow will design and evaluate user-centred AI artifacts that support creativity, problem solving, and knowledge co-creation, and will conduct extensive case studies with partners in schools and public/private sectors. Key research topics include how humans interact with automatically generated content, co-work with AI to analyze large reports, and collaborate to develop hybrid feedback.

The project also addresses integration and contextualisation of content, trust, and synergistic creation of new content with AI. Duties include literature review, participatory design workshops, service and interface implementation, case study planning and execution, empirical data analysis, report and article writing, conference attendance, and dissemination activities within the centre. Applicants must have a relevant Master’s degree (Computer Science or equivalent, with focus on learning technologies, AI in education, interaction design, HCI, or human-AI collaboration), strong academic background (B or better), and solid knowledge of quantitative and qualitative research methods. Good written and oral English skills are required, with specific minimum scores for TOEFL, IELTS, or Cambridge exams.

Norwegian, Swedish, or Danish language skills at level A2 are required or must be acquired 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, free Norwegian language training, and access to employee benefits.

The employment period is 3 years, with possible extension to 4 years for duty work. NTNU values diversity and encourages applications from all backgrounds. The application deadline is December 12, 2025.

Applications must be submitted electronically via Jobbnorge.no, including all required documents. For questions, contact Professor Michail Giannakos at [email protected].

Funding details

Available

What's required

Applicants must have a Master's degree in Computer Science or equivalent, with a focus on learning technologies, AI in education, interaction design, HCI, human-AI collaboration, or similar. The degree must correspond to a five-year Norwegian course with 120 credits at master's level. Master's students may apply if the degree is completed by December 2025. A strong academic background is required, with an average grade of B or better on NTNU's scale. Good written and oral English skills are required, with minimum scores: TOEFL 600 (paper-based), 92 (Internet-based); IELTS 6.5 (no section below 5.5); CAE/CPE grade B or A. Solid knowledge of quantitative and qualitative research methods is required. If Norwegian, Swedish, or Danish language skills at level A2 are not documented, candidates must complete Norwegian courses (15 credits) during employment. Preferred qualifications include research assistant experience, relevant publications, and good presentation skills in Norwegian/Scandinavian. Personal qualities such as independence, teamwork, analytical skills, and motivation are important.

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Professors

Professor at Norwegian University of Science and Technology

University Name
Country flag

Norway

Research Interests

Educational Technology

Educational Psychology

Teaching And Learning

Multimodal Analysis

Collaborative Learning