Alf Inge Wang
3 months ago
PhD Candidate in AI Enhancement of Game-Based Learning Norwegian University of Science and Technology in Norway
Degree Level
PhD
Field of study
Computer Science
Funding
Available
Deadline
Expired
Country
Norway
University
Norwegian Institute of Science and Technology

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Official Email
[email protected]
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About this position
The Department of Computer Science at the Norwegian University of Science and Technology (NTNU) invites applications for a PhD Candidate in AI Enhancement of Game-Based Learning. This position is part of the newly established AI Centre for the Empowerment of Human Learning (AI LEARN), a national initiative dedicated to advancing responsible, human-centred artificial intelligence to empower learning. The centre aims to become an internationally leading interdisciplinary hub, fostering foundational research, responsible innovation, and robust governance in AI for education.
The PhD project is associated with the Technological Advancement cluster of AI LEARN. The main goal is to develop innovative applications, tools, and models for AI-driven game-based learning. The candidate will design, develop, and evaluate interactive, personalized learning experiences using advanced AI technologies. The research will involve user-centred design, participatory workshops, and extensive case studies with schools and public/private sector partners. Collaboration with a postdoctoral researcher is expected to establish frameworks and technologies for game-based learning, with a focus on creativity, problem-solving, and knowledge co-creation.
The successful candidate will join the Software Engineering research group and participate in a vibrant, international research environment. Duties include conducting literature reviews, implementing participatory activities, developing software interfaces, planning and conducting case studies, collecting and analyzing empirical data, writing research articles, attending international conferences, and contributing to dissemination within the AI LEARN centre.
Eligibility: Applicants must hold a Master's degree in Computer Science or a closely related field (learning technologies, game-based learning, serious games, or human-AI collaboration), equivalent to a five-year Norwegian program with 120 credits at the master's level. A strong academic record (B or better) is required. Proficiency in English (TOEFL, IELTS, or Cambridge tests) and solid knowledge of quantitative and qualitative research methods are mandatory. If not proficient in Norwegian, Swedish, or Danish at level A2, candidates must complete Norwegian courses during employment. Preferred qualifications include research assistant experience, relevant publications, and presentation skills in Norwegian/Scandinavian.
Funding: The position offers a gross annual salary of NOK 550,800, with a 2% statutory contribution to the State Pension Fund. The employment period is 3 years, with a possible extension to a 4th year for duty work. Full employee benefits are provided, including access to the Norwegian Public Service Pension Fund, career guidance, and a mentor program.
Application Process: Applications must be submitted electronically via Jobbnorge.no, including all required documents: transcripts, diplomas, academic CV, master's thesis or draft, proof of degree completion, a short essay on AI in game-based learning, a cover letter, publications, and contact information for at least three references. Only information received by the deadline will be considered. The application deadline is 12 December 2025.
NTNU is committed to diversity and equality, encouraging applications from all qualified candidates regardless of gender, background, or career breaks. The university is located in Trondheim, a modern European city known for its rich cultural scene, high quality of life, and excellent public services.
For further information, contact Professor Alf Inge Wang 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, game-based learning, serious games, or human-AI collaboration. The degree must correspond to a five-year Norwegian course with 120 credits at the 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 (NTNU scale) or equivalent. Good written and oral English skills are required, with minimum scores: TOEFL 600 (paper), 92 (internet); 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 not proficient in Norwegian, Swedish, or Danish at level A2, candidates must complete Norwegian courses (15 credits) during employment. Preferred: research assistant experience, relevant publications, and presentation skills in Norwegian/Scandinavian.
How to apply
Submit your application and all required attachments electronically via Jobbnorge.no. Include transcripts and diplomas, academic CV, master's thesis or draft, documentation of completed master's degree, a short essay on AI in game-based learning, a cover letter, publications, and contact information for at least three references. Applications are assessed only on received information by the deadline.
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