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University of Oulu

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Doctoral Researcher in Educational Technology University of Oulu in Finland

Degree Level

PhD

Field of study

Education

Funding

Fixed-term doctoral researcher position for three years; starting gross salary approximately 2300–2600 € per month before taxes, with an additional salary component based on personal work performance of up to 50% of the job-specific component.

Deadline

Nov 15, 2026

Country flag

Country

Finland

University

University of Oulu

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Keywords

Education
Psychology
Information Technology
Artificial Intelligence
Educational Technology
Instructional Design
Learning Analytics
Teacher Professional Development
Qualitative Method

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About this position

This doctoral researcher position at the University of Oulu is centered on educational technology, generative artificial intelligence, and teacher learning. The successful candidate will join the Faculty of Education and Psychology and work across two linked projects that place AI-supported pedagogy in real educational contexts.

The first project, INTEGRATE, focuses on training teachers to integrate EU matters, topics, and values into everyday teaching through GenAI-supported pedagogy. It involves developing and implementing teacher education courses, online professional development modules, instructional materials, and AI-supported teaching activities for teachers. The second project, Power T/A, examines how AI-based technologies can be integrated into teacher mentorship and instructional activities, with particular attention to online mentorship and teachers’ professional learning.

As part of these projects, the doctoral researcher will contribute to research and development activities that connect educational design, teacher education, and responsible use of artificial intelligence. The work includes participating in the creation and evaluation of learning materials and professional development activities, collecting and analysing qualitative and quantitative data, contributing to publications, collaborating with teachers and researchers, and presenting findings in academic settings.

The position offers a supportive research environment at the University of Oulu with collaboration across local, national, and international partners, and with a clear focus on pedagogically meaningful AI use in education.

Funding details

Fixed-term doctoral researcher position for three years; starting gross salary approximately 2300–2600 € per month before taxes, with an additional salary component based on personal work performance of up to 50% of the job-specific component.

What's required

A Master’s degree in education, educational technology, educational psychology, or another relevant discipline is required. Applicants should have a strong interest in research on Generative AI, educational technology, teacher education, and EU matters and values; proficiency in qualitative and/or quantitative research methods; good IT and data analysis skills; interest in using digital and AI-based tools in educational research; fluent written and spoken English; and the ability to work both independently and collaboratively in multidisciplinary and international research environments. Familiarity with the Finnish K–12 education system and/or teacher education, experience working with pre-service or in-service teachers, experience in teaching, teacher education, professional development, or instructional design, experience or demonstrated interest in AI/GenAI-supported teaching and learning, experience with qualitative and/or quantitative research data collection and analysis, and familiarity with technology-enhanced learning environments are considered advantages. Finnish language skills are an advantage but not required. Applicants should also see the University of Oulu Graduate School requirements.

How to apply

Apply through the university recruitment system by 15.11.2026 at 23:59 Finnish local time. Submit an English application with a cover letter, CV following the Finnish Advisory Board on Research Integrity guidelines, certificates/diplomas, and contact information for two referees. Shortlisted candidates will be invited to an on-site or remote interview.

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