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Electrical Engineering● OpenPreview

Doctoral Student in Game-Theoretic Methods for Multi-Agent Autonomous Systems

Join a cutting-edge research project at the intersection of game theory and robotics.

Best for:Best for candidates with a strong background in optimization and control systems.

KTH Royal Institute of Technology · Stockholm, Sweden · R1 · First-stage researcher
More professors at KTH Royal Institute of Technology
Game TheoryControl SystemsRoboticsMulti-Agent Systems
Deadline
Nov 1, 2026
18 days
Funding
Salaried
Monthly salary according to KTH's doctoral student salary agreement
Start date
According to agreement
Full-time
Location
Stockholm
Sweden

Overview

This position offers an opportunity to engage in innovative research focused on the application of game-theoretic methods to multi-agent autonomous systems. The doctoral student will work on developing mathematical foundations and computational tools that facilitate human-robot collaboration. The research will involve hybrid dynamic games, human-robot interaction modeling, and experimental validation on robotic platforms. Supervision will be provided by Assistant Professor Giuseppe Belgioioso and Professor Dimos Dimarogonas.

Doctoral StudentGame TheoryRoboticsHuman-Robot InteractionControl Systems

What you'll do

  • Conduct research on hybrid dynamic games and their applications in autonomous systems.
  • Develop computational tools for real-time decision-making and control.
  • Model human-robot interactions using game-theoretic approaches.
  • Validate research findings through experiments on multi-robot and underwater platforms.

Requirements

Degree required: Master's degree in Electrical Engineering or a related field

Degree offered: PhD

Language: English; equivalent to English B/6

Instruction: English

Required skills
  • Strong background in optimization and automatic control
  • Ability to independently pursue research
  • Experience in programming and robotic platforms
Nice to have
Familiarity with game theory and hybrid systemsKnowledge of Model Predictive Control (MPC) or formal methodsExperience in collaborative research environments
Eligibility
  • Must have completed a second cycle degree or equivalent
  • Must provide contact information for at least one academic or professional reference

Funding & terms

Type
Salaried
Amount
Monthly salary according to KTH's doctoral student salary agreement
Duration
4 years
Programme
KTH Royal Institute of Technology
KTH Royal Institute of Technology

How to apply

Deadline: 2026-11-01 (Europe/Stockholm)

Applications must be submitted through KTH's recruitment system. Ensure that your application is complete according to the provided instructions.

Documents required
  • Copies of diplomas and grades from previous university studies
  • CV including relevant professional experience
  • Application letter describing research interests
  • Representative publications or reports
  • Name of at least one academic or professional reference
↗Apply on site

Contact

Giuseppe Belgioioso· Assistant Professor

giubel@kth.se

GB
Prof.
Giuseppe Belgioioso
Electrical Engineering
Lab
Digital Futures Project
KTH Royal Institute of Technology
Sweden
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