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Do you want to research digital working environments in schools, supported by competent and friendly colleagues in an international setting? Do you want an employer that invests in sustainable employee engagement and offers secure, favorable working conditions? Welcome to apply for a position as a PhD student in the LärA-AI graduate school at Uppsala University.

You will be one of nine PhD students in the LärA-AI graduate school (The Working Environment of Teachers in an AI-Transformed School). The focus of the graduate school is to investigate how generative artificial intelligence (GenAI) affects teachers' working environment and professional role. When GenAI systems are used in planning, assessment, and decision-making, both the tasks of teachers and how the work is experienced change. At the same time, research shows that many teachers already have a pressured work situation with high workloads and increased administrative demands. Therefore, new knowledge is needed about how GenAI affects working conditions, responsibilities, and competency needs.

Job Responsibilities
This position is linked to the first theme of the graduate school: the impact of AI on the content and organization of teaching. Your focus will be on investigating teachers' use of various didactic digital resources to develop and implement innovative AI-integrated pedagogical strategies. This topic will contribute to the development and strengthening of pedagogical methods for using AI tools and digital resources in the classroom. In addition to computers, digital resources include physical computing devices such as Arduino, micro:bit, sensors, and robotics kits. A central question in your research will be how these didactic digital resources and AI tools shape teachers' practices, classroom interactions, and material configurations.

You will primarily collaborate with two other PhD students in this theme, but all three themes will be closely integrated to establish a holistic understanding of how AI development affects teachers' working environment and professional role. You are expected to actively participate in the graduate school's joint activities, such as courses, seminars, workshops, and international summer schools, as well as contribute to the research environment through joint discussions and collaboration.

You will mainly focus on your own doctoral education within the framework of the graduate school. Other duties at the department, such as teaching and administrative work, may be included within the framework of the employment (max 20%).

Qualifications
Basic eligibility for doctoral education is met by those who:

• have obtained a master's degree in computer science, information technology, education, pedagogy, working science, or another subject area relevant to the position, or
• have completed at least 240 higher education credits, of which at least 60 higher education credits at the master's level including an independent project of at least 15 higher education credits, or
• have acquired equivalent knowledge in some other way.

The university may grant exceptions to the basic eligibility requirement for an individual applicant if there are special reasons. (Chapter 7, Section 39 of the Higher Education Act). For specific eligibility, see here (https://www.uu.se/medarbetare/fakultet/teknisk-naturvetenskapliga/utbildning-och-undervisning/utbildning-pa-forskarniva/amnen-och-studieplaner/amnen/datavetenskap-med-inriktning-mot-datavetenskapens-didaktik).

In addition, the following is required:

• Excellent written ability, with documented ability to formulate and structure academic texts in English.
• Strong analytical, problem-solving, and communication skills.
• Ability to work both independently and in groups, in interdisciplinary and multicultural contexts.
• High motivation and good work capacity, with the ability to work purposefully and persistently on complex research tasks.
• Interest in pedagogical innovation and the role of technology in learning.

Desirable/meritorious

• Documented ability to conduct independent research (e.g., literature reviews, qualitative or quantitative data collection/analysis).
• Experience using digital resources, especially for teaching purposes.
• Good understanding of AI concepts, tools, and applications in education.
• Teaching experience.
• Very good knowledge of Swedish, both spoken and written, as data collection, analysis, and collaboration occur in a Swedish-speaking context.

Regulations for doctoral students can be found in the Higher Education Ordinance Chapter 5, Sections 1-7, and at here (https://regler.uu.se/?languageId=3).

About the Position
The position is temporary, according to Chapter 5, Section 7 of the Higher Education Act. The extent is full-time. Start date May 1, 2026, or by agreement. Place of employment: Uppsala

For inquiries about the position, please contact: Calkin Suero Montero, phone: +46 18 4715447, email: [email protected].

Welcome with your application by February 23, 2026, UFV-PA 2026/297.

Uppsala University is a broad research university with a strong international standing. The ultimate goal is to conduct education and research of the highest quality and relevance to make a difference in society. Our most important asset is all 7,600 employees and 53,000 students who, with curiosity and commitment, make Uppsala University one of the most exciting workplaces in the country.

Read more about our benefits and what it is like to work at Uppsala University here (https://uu.se/om-uu/jobba-hos-oss/).

The position may be subject to security vetting. A prerequisite for employment is that the applicant is approved during the security vetting.

We kindly decline offers of recruitment and advertising assistance.

Applications are received in Uppsala University's recruitment system.

Union representatives: Saco-S - [email protected], Seko - [email protected], ST (OFR/S) - [email protected]