Sanna Kuoppamäki
Top university
3 months ago
Doctoral student in Socio-technical Studies of Conversational Robots KTH Royal Institute of Technology in Sweden
Degree Level
PhD
Field of study
not provided
Funding
Available
Deadline
Expired
Country
Sweden
University
KTH Royal Institute of Technology

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Where to contact
Official Email
About this position
This PhD position at KTH Royal Institute of Technology invites applications from candidates interested in the socio-technical integration of conversational robots within elderly care. The project is situated within the third-cycle subject of Technology and Health and aims to develop a Nordic Model for the integration of social and conversational robots as welfare technologies. The research will address the practical, ethical, and legal challenges posed by advanced AI-driven welfare technologies, focusing on their impact on care systems.
As a doctoral student, you will conduct user studies to investigate the integration of conversational robots in elderly care settings, exploring both the benefits and tensions that arise across technical, ethical, and regulatory dimensions. The project will also assess how these technologies affect care workflows and contribute to the development of sustainable models for robot integration in long-term care. The position offers the opportunity to work in a dynamic, international research environment, collaborating with industry partners and leading universities.
Supervision will be provided by Assistant Professor Sanna Kuoppamäki and Sebastiaan Meijer. The role is fully funded with a monthly salary according to KTH’s doctoral student salary agreement, and employment is full-time for up to four years. Applicants must have a relevant second-cycle degree or equivalent, experience with user studies involving robots or AI, and proficiency in English. The application process requires submission of academic transcripts, proof of language proficiency, a CV, a motivation letter, and relevant publications.
The deadline for applications is December 3, 2025. KTH is committed to equality, diversity, and providing a supportive environment for all researchers.
Funding details
Available
What's required
Applicants must have a second cycle degree (such as a master's degree) or have completed at least 240 higher education credits, with at least 60 at the second-cycle level, or possess equivalent knowledge. Preferred qualifications include experience in user studies with robots or AI-driven technologies, familiarity with social science methodologies, and good communication skills. English proficiency equivalent to English B/6 is mandatory. Selection is based on academic qualifications, ability to work independently and collaboratively, professional approach, and analytical skills. Personal skills are also highly valued.
How to apply
Apply through KTH's recruitment system by the deadline. Ensure your application includes certified copies of diplomas and grades, proof of English proficiency, a CV, an application letter (max 2 pages), and representative publications or technical reports. Follow all instructions in the advertisement for a complete application.
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