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KTH Royal Institute of Technology

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PhD student in Agentic & Embodied AI for Adaptive Manufacturing Systems KTH Royal Institute of Technology in Sweden

Degree Level

PhD

Field of study

Computer Science

Funding

Monthly salary according to KTH’s Doctoral student salary agreement, with employee benefits; employed as a doctoral student for up to four years of full-time doctoral education.

Deadline

Dec 3, 2026

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Country

Sweden

University

KTH Royal Institute of Technology

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Keywords

Computer Science
Mechanical Engineering
Electrical Engineering
Industrial Engineering
Automation
Digital Twin Technology
Robotics
Production Engineering
Robot Control Systems

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About this position

This PhD project focuses on agentic and embodied AI for adaptive manufacturing systems, with battery assembly and disassembly used as the main application scenarios. The student will work on AI- and robot-enabled methods that allow intelligent production systems to perceive changing conditions, reason about process requirements and constraints, and adapt actions in real time.

The research combines task-level decision intelligence, multimodal perception, digital twin-based learning, and robot control to support more flexible and intelligent manufacturing. A central part of the work is the development and experimental validation of robotic methods for these dynamic industrial scenarios, while also producing insights that extend to adaptive manufacturing systems more broadly.

The position is based at KTH Royal Institute of Technology in the third-cycle subject of Production Engineering. It is part of a joint PhD programme between KTH and Shanghai Jiao Tong University, and the doctoral student will be employed full time at KTH while spending at least 12 months at SJTU across several research stays.

The proposed supervisors are Xi Vincent Wang and Magnus Wiktorsson. The advertised environment combines doctoral study, industrially relevant research, and international collaboration across two leading universities.

Funding details

Monthly salary according to KTH’s Doctoral student salary agreement, with employee benefits; employed as a doctoral student for up to four years of full-time doctoral education.

What's required

Applicants must have basic eligibility for postgraduate education, namely a second-cycle degree such as a master's degree, or at least 240 higher education credits including at least 60 second-cycle credits, or equivalent knowledge. English proficiency equivalent to English B/6 is mandatory. Applicants with backgrounds in robotics, artificial intelligence, computer science, control engineering, automation, production engineering or related fields are welcomed, and selection also emphasizes goal orientation, perseverance, independence, collaboration, a professional approach, and the ability to analyze and work with complex issues.

How to apply

Apply through KTH’s recruitment system for both the position and admission. Upload diplomas and transcripts, proof of language requirements, a CV, a motivation/application letter, and representative publications or technical reports with abstracts and links where needed. Ensure the application is complete and submitted by midnight CET/CEST on the deadline date.

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