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KTH Royal Institute of Technology

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Doctoral student in Organizational Implications of Artificial Intelligence KTH Royal Institute of Technology in Sweden

Degree Level

PhD

Field of study

Computer Science

Funding

Doctoral student salary according to KTH’s Doctoral student salary agreement; employment may be renewed for up to four years of full-time doctoral education.

Deadline

Jan 4, 2027

Country flag

Country

Sweden

University

KTH Royal Institute of Technology

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Keywords

Computer Science
Information Technology
Artificial Intelligence
Business
Organizational Studies
Management
Industrial Economics
Business Analytics
Information Systems
Large Language Models
ML

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About this position

This doctoral project at KTH Royal Institute of Technology is part of the third-cycle subject Industrial Economics and Management and focuses on the organizational implications of artificial intelligence. The project examines how AI-driven technologies are changing knowledge creation, task augmentation, business analytics, and the way organizations operate across public and private sectors.

The PhD student will investigate the challenges and opportunities created by AI adoption, including issues such as managerial uncertainty, unreliable outputs, low returns on investment, ethical dilemmas, and the broader transformation of industries. The research also highlights the emerging role of AI ecosystems, bringing together startups, intermediaries, Big Tech companies, and established enterprises in the move toward an AI-based economy.

The position is embedded in the Wallenberg AI, Autonomous Systems and Software Program – Humanity and Society (WASP-HS), a national Swedish research program that supports interdisciplinary research on AI and autonomous systems and their societal impact. The project is situated in a research environment that combines social science and humanities perspectives on AI with questions of innovation, organization, and responsible transformation.

Supervision is provided by Emrah Karakaya as main supervisor and Mats Engwall as co-supervisor.

Funding details

Doctoral student salary according to KTH’s Doctoral student salary agreement; employment may be renewed for up to four years of full-time doctoral education.

What's required

Applicants must have basic eligibility for postgraduate education, including a second-cycle degree (for example a master's degree), or at least 240 higher education credits with at least 60 second-cycle credits, or equivalent knowledge. The applicant must hold, or be in the process of obtaining, a Master's degree in Industrial Engineering and Management, or equivalent. English proficiency equivalent to English B/6 is required. Preferred selection criteria include goal orientation, perseverance, ability to work independently and collaboratively, professional approach, ability to analyze complex issues, experience with qualitative research methods such as interviews and case studies, familiarity with literature in innovation management, organization studies and/or information systems, understanding of how AI technologies function, and ability to communicate in Swedish or willingness to learn Swedish for case study interviews.

How to apply

Apply through KTH's recruitment system. Make sure the application is complete and includes diplomas and grades, proof of language requirements, a CV, an application letter, and representative publications or technical reports. Submit the application by midnight CET/CEST on the deadline date.

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