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University of Gothenburg meets societal challenges with diverse knowledge. 58,000 students and 6,800 employees make the university a large and inspiring workplace. Strong research and attractive education attract researchers and students from all over the world. With new knowledge and new perspectives, the University of Gothenburg contributes to a better future.

The Department of Education, Communication and Learning (IPKL) offers sought-after education and prominent research within our fields of knowledge – education, communication, and learning. Various socially relevant issues arising from globalization, sustainability, and digitalization are our focus. Internationally, our research contributes to issues regarding the conditions of vulnerable children and youth, the mission and quality of preschool, migration and other societal changes, violence and racism in schools and leisure, and the consequences of digitalization for education and working life.

GRAITE (Graduate School for AI in Teacher Education) is a national graduate school that brings together nine Swedish higher education institutions to study how artificial intelligence is shaped in and shapes teacher education and the teaching profession. Based on the TPACK framework, GRAITE focuses on how AI can be integrated pedagogically, meaningfully, ethically, and democratically in teacher education. The graduate school offers courses, seminars, supervision, and both national and international collaboration within the research consortium GradeResearch, which includes the University of Gothenburg.

Education is a subject at the doctoral level focusing on processes, both formal and informal, through which individuals are shaped and transformed within various social, cultural, and historical contexts. This includes various dimensions of upbringing, education, teaching, learning, and other influencing processes.

Job Responsibilities

The dissertation work for this doctoral position will focus on artificial intelligence (AI) in relation to teacher education and the professional practice of teacher educators, in line with the overarching framework of GRAITE. Within this framework, the research can have a practice-oriented anchoring, with the opportunity to contribute to the understanding of how AI reshapes relationships, distribution of responsibility, and agency in educational contexts. Within the scope of the dissertation work, particular emphasis may be placed on relational perspectives on human-technology interaction, for example, how professional judgments are shaped in collaboration with AI systems, or how assessment and suspicions of cheating are affected by generative language models. Another possible direction is to investigate tensions that arise when individually targeted AI tools are used in collaborative teaching environments. The work can also be design-oriented and highlight how transparency, visualization of AI-generated material, or the development of collaborative AI tools can support pedagogical practice.

Assessment Criteria

Selection among applicants who meet the requirements for basic and specific eligibility is based on the ability to benefit from the doctoral education.

Given the research focus on visitors' informal learning at a Swedish science center and that the teacher education where the doctoral student will teach is conducted in Swedish, it is a requirement that the applicant is proficient in a Scandinavian language in both spoken and written form. Documented experience of qualitative research methods, particularly video observation and interaction analysis, is meritorious.

The selection is based on the following assessment criteria:

• quality of the qualifying thesis (or equivalent document).
• quality of the submitted research proposal and its relevance to this announcement's focus.

The research proposal is assessed based on the research idea's originality, its scientific relevance to the specific focus, and whether it addresses justified and researchable questions and proposes adequate forms for implementation. Follow-up interviews and work samples will be offered to applicants with the most relevant research proposals.

Admission and Employment

After being admitted to doctoral education, you will receive a doctoral student position at the University of Gothenburg.

Organizationally, the doctoral student will be admitted to doctoral education in education at the Department of Education, Communication, and Learning, have close collaboration with the Department of Applied IT, and be one of at least 16 doctoral students recruited to the GRAITE graduate school.

Employment type: Fixed-term employment, corresponding to 4 years of full-time studies from the start date.

Extent: 100%

Location: Department of Education, Communication and Learning (IPKL), University of Gothenburg

Start date: 2026-09-01 or by agreement

Here you can read the full announcement text

Application

You apply to be admitted to doctoral education via the University of Gothenburg's recruitment portal.

The application should include the following parts:

• Personal letter with a brief description of relevant background, max 1 A4 page
• Curriculum Vitae
• Documentation of studies that supports the basic and specific eligibility (extract from LADOK or other study documentation register)
• Qualifying thesis of 15 credits at advanced level (or equivalent document) and up to one additional research-related text (article, report)
• Research proposal, max 2 pages including ½ page account of personal use of AI (guidelines, see the section on assessment criteria)
• References (optional)
• Other merits the applicant wishes to invoke.

You as the applicant are responsible for ensuring that the application is complete in accordance with the advertisement and that it reaches the university no later than the last application date.

The application must be received by: 2026-03-01

The university actively works for a work environment with equal conditions and values the qualities that diversity brings to the operation.

The university applies individual salary setting.

According to the National Archives' regulations, the university is obliged to store application documents for two years after the appointment decision. If you as an applicant specifically request the return of your documents, they will be sent back after the two years have elapsed; otherwise, they will be discarded.

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