Arnold Pears
Professor at KTH Royal Institute of Technology
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Positions (2)
Arnold Pears
KTH Royal Institute of Technology
7 months ago
The KTH Royal Institute of Technology invites applications for a doctoral student position focused on AI and the future of teacher education. This opportunity is part of the LärA-AI graduate school, a pioneering initiative exploring how generative AI (GenAI) is transforming the teaching profession across psychosocial, physical, and digital dimensions. The project addresses the increasing stress, ethical tensions, and rapid technological changes faced by teachers, as AI becomes integral to planning, assessment, and decision-making in schools. Teachers are encountering shifting roles, heightened pressures, and new demands for ethical judgment and digital skills. The LärA-AI graduate school is a collaboration between KTH Royal Institute of Technology, Uppsala University, and the University of Gävle, all recognized for their research in education, digitalization, workplace practices, and AI. The research school comprises nine interdisciplinary doctoral projects organized around three themes: the changing nature of pedagogical work with GenAI, professional autonomy and ethical decision-making, and digital competence, professional learning, and organizational change in AI-integrated schools. This doctoral position is based in the LEaP (Learning, Education and Pedagogy) research group at the Department of Learning in Engineering Sciences, School of ITM, KTH. LEaP investigates education and learning in STEM fields, bringing together expertise in pedagogy, mathematics, technology, and computing. The successful candidate will join a vibrant research environment and contribute to the Graduate School on Teachers’ Work Environment in the Age of genAI. Supervision will be provided by Professor Arnold Pears. The position offers full-time employment for up to four years, with a monthly salary according to KTH’s doctoral student salary agreement and access to employee benefits. The doctoral student may perform certain tasks within their role, such as training and administration, up to 20% of their time. Applicants must have a second cycle degree (e.g., master's) or equivalent, with at least 240 higher education credits (including 60 second-cycle credits), and be fluent in English and Swedish. English proficiency equivalent to English B/6 is mandatory. Selection emphasizes personal skills, including independence, collaboration, professionalism, and analytical ability. Certified copies of diplomas, grades, and language certificates are required, with translations if originals are not in English or Swedish. Applications must be submitted via KTH’s recruitment system by March 12, 2026. Required documents include a CV, application letter (max 2 pages), certified copies of diplomas and grades, certificates of language proficiency, and representative publications or technical reports. For longer documents, provide a summary and a web link to the full text. The position may be subject to security clearance under Swedish law. KTH is committed to equality, diversity, and equal opportunities, offering a creative and dynamic environment for professional growth. Join a leading international technical university shaping the future through education, research, and innovation.
7 months ago
Arnold Pears
KTH Royal Institute of Technology
7 months ago
The Department of Learning in Engineering Sciences at KTH Royal Institute of Technology in Stockholm, Sweden, is inviting applications for two fully funded PhD positions focused on artificial intelligence (AI), learning sciences, and STEM education. The research will be conducted within the LEaP (Learning, Education and Pedagogy) research group, which brings together expertise in pedagogy, technology, mathematics, and computer science. The projects are part of national research schools and collaborations with Uppsala University and the University of Gävle, targeting the impact of generative AI on teachers' work environments, professional roles, and the future of teacher education. One position will investigate how generative AI affects teachers' work, responsibilities, and competence needs, with research themes including AI's influence on teaching content and organization, ethics, professional judgment, and digital competence. The other position will focus on didactics in STEM education, cognitive science, digital learning environments, and the integration of AI in teaching, aiming to strengthen Swedish teacher education and address declining student interest in STEM subjects. Applicants must hold a master's degree or equivalent in a relevant field and demonstrate proficiency in both English and Swedish. Selection criteria include the ability to work independently, collaborate, maintain professionalism, and analyze complex issues. Personal qualities are highly valued. The positions are fully funded, offering a monthly salary according to KTH's doctoral student salary agreement, full-time employment for up to four years, and access to KTH's employment benefits. Doctoral students may also engage in teaching or administrative duties up to 20% of their time. To apply, candidates should submit a complete application via KTH's online recruitment system, including a CV, cover letter, degree certificates, transcripts, proof of language proficiency, and representative publications or technical reports. All documents must be in English or Swedish, with certified translations if necessary. The application deadline is March 12, 2026. For more information, contact Professor Arnold Pears ([email protected]). Further details and application links can be found on the KTH job portal.
7 months ago
Articles (8)
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2023
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Collaborators (12)
Ilkka Jormanainen
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Viggo Kann
KTH Royal Institute of Technology
Per Berglund
Professor
KTH Royal Institute of Technology
Lauri Malmi
Aalto University
Jeffrey Buckley
Lecturer in Research Pedagogy
Technological University of the Shannon Midlands Midwest - Athlone Campus
Mattias Wiggberg
Associate Professor (Docent) at KTH Royal Institute of Technology
KTH Royal Institute of Technology
Panagiotis Pantzos
KTH Royal Institute of Technology
ERNEST AMPADU
KTH Royal Institute of Technology
Jan Gulliksen
Professor at KTH Royal Institute of Technology
KTH Royal Institute of Technology
Lena Gumaelius
Associate Professor
KTH Royal Institute of Technology
Åsa Cajander
Professor of Computer Science
Uppsala University
Leif Kari
KTH Royal Institute of Technology
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