Summary
KTH Royal Institute of Technology is inviting applications for an exceptional doctoral student to conduct research at the intersection of game theory and control for multi-agent autonomous systems. This position is part of the Digital Futures project ‘Human-in-the-Loop Autonomy via Hybrid Games’ and involves both mathematical foundations of hybrid games and the design of computationally tractable controllers for deployment on real robotic platforms. The research will address hybrid dynamic games under temporal logic task specifications, game-theoretic modeling of human–robot interaction, and experimental validation on multi-robot and underwater robotic platforms.
Doctoral Student in Game-Theoretic Methods for Multi-Agent Autonomous Systems at KTH Royal Institute of Technology
Designation
Doctoral Student
Scholarship Table
| Scholarship Type | Designation | Research Area | Location | Target Degree | Employment Length | Salary |
|---|---|---|---|---|---|---|
| Doctoral Scholarship | Doctoral Student | Game-Theoretic Methods for Multi-Agent Autonomous Systems | Stockholm, Sweden | Doctoral Degree | Up to 4 years full-time | According to KTH’s Doctoral student salary agreement |
Research Area
- Game-Theoretic Methods for Multi-Agent Autonomous Systems
- Hybrid Dynamic Games under Temporal Logic Task Specifications
- Game-Theoretic Modeling of Human–Robot Interaction
- Experimental Validation on Multi-Robot and Underwater Robotic Platforms
Location
KTH Royal Institute of Technology, Stockholm, Sweden
Eligibility/Qualification
Basic Eligibility:
- Passed a second-cycle degree (e.g., Master’s degree), OR
- Completed course requirements of at least 240 higher education credits, of which at least 60 second-cycle higher education credits, OR
- Acquired substantially equivalent knowledge within or outside Sweden.
- Mandatory requirement for English equivalent to English B/6.
Selection Criteria:
- Ability to independently pursue work.
- Ability to collaborate with others.
- Professional approach.
- Ability to analyze and work with complex issues.
- Strong background in optimization and automatic control.
- Familiarity with game theory, hybrid systems, MPC, or formal methods is advantageous.
- Proficiency in programming and prior hands-on experience with robotic platforms is beneficial.
- High motivation for doctoral studies.
- Ability to provide contact information for at least one academic or professional reference.
Scholarship Description
This doctoral position offers the opportunity to contribute to cutting-edge research in autonomous systems, focusing on human-robot collaboration through game-theoretic approaches. The project is supported by Digital Futures and aims to develop new mathematical foundations and computational tools for decision-making, planning, and control in complex multi-agent environments. Doctoral students at KTH are entitled to a workplace with numerous employee benefits and a monthly salary according to KTH’s Doctoral student salary agreement. The total length of employment corresponds to four years of full-time doctoral education, with the possibility of performing limited tasks (maximum 20%) within the role, such as training and administration.
How to Apply
Applications must be submitted through KTH’s recruitment system and include the following elements:
- Copies of diplomas and grades from previous university studies and certificates of fulfilled language requirements. Translations into English or Swedish are required if the original documents are not in these languages. Copies of originals must be certified.
- CV (max 2 pages) including relevant professional experience and knowledge.
- Application letter (max 1 page) with a brief description of why you want to pursue research studies, your academic interests, and how they relate to your previous studies and future goals.
- Representative publications or reports (e.g., master thesis).
- Name of at least one academic or professional reference.
Last Date for Apply
01 November 2026
Apply Link
Apply for the position at KTH Royal Institute of Technology








