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KTH Royal Institute of Technology

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Doctoral student in Game-Theoretic Methods for Multi-Agent Autonomous Systems KTH Royal Institute of Technology in Sweden

Degree Level

PhD

Field of study

Computer Science

Funding

The position is a paid doctoral student employment at KTH with monthly salary according to KTH’s doctoral student salary agreement. Employment is temporary, initially for up to one year and renewable, with total duration corresponding to four years of full-time doctoral education. Employee benefits apply.

Deadline

Nov 1, 2026

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Country

Sweden

University

KTH Royal Institute of Technology

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Keywords

Computer Science
Mechanical Engineering
Mathematics
Game Theory
Human-robot Interaction
Formal Methods
Automatic Control
Model Predictive Control
Optimisation
Robotics
Control System
Multi-agent System

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About this position

Doctoral student opportunity at KTH Royal Institute of Technology in Game-Theoretic Methods for Multi-Agent Autonomous Systems, within the School of Electrical Engineering and Computer Science.

The project is part of the Digital Futures initiative Human-in-the-Loop Autonomy via Hybrid Games. The research sits at the intersection of game theory, control, hybrid systems, and robotics, with a focus on trustworthy human–robot collaboration.

Research topics include:

- Hybrid dynamic games under temporal logic task specifications
- Game-theoretic modelling of human–robot interaction
- Experimental validation on multi-robot and underwater robotic platforms

Applicants should have a strong background in optimization and automatic control. Experience with game theory, hybrid systems, MPC, or formal methods is advantageous. Programming skills are expected, and hands-on experience with robotic platforms is a plus.

Eligibility requires a second-cycle degree (for example a master's degree), or equivalent academic preparation, plus English proficiency equivalent to English B/6. Candidates must also provide at least one academic or professional reference and show strong motivation for doctoral studies.

This is a PhD employment at KTH with salary according to the doctoral student salary agreement. The position is full time, temporary, and located in Stockholm, Sweden. The application deadline is 2026-11-01.

Apply via KTH’s recruitment system and include diplomas, transcripts, proof of language requirements, CV, motivation letter, representative publications/reports, and reference details.

Funding details

The position is a paid doctoral student employment at KTH with monthly salary according to KTH’s doctoral student salary agreement. Employment is temporary, initially for up to one year and renewable, with total duration corresponding to four years of full-time doctoral education. Employee benefits apply.

What's required

Applicants must have basic eligibility for postgraduate education: 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. A strong background in optimization and automatic control is required; familiarity with game theory, hybrid systems, MPC, or formal methods is advantageous. Programming proficiency and prior hands-on experience with robotic platforms are beneficial. Candidates must provide contact information for at least one academic or professional reference and demonstrate high motivation for doctoral studies.

How to apply

Apply through KTH's recruitment system using the provided application portal. Submit diplomas and grades, proof of English requirements, CV, application letter, representative publications or reports, and contact details for at least one reference. Ensure the application is complete before the deadline.

More information can be found here

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