Doctoral Student in Interpretable AI for Collaborative Robots

About the role

The Division of Systems and Control in the Department of Electrical Engineering at Chalmers University of Technology is hiring a doctoral student in interpretable, experience-driven learning for collaborative robots. The research aims to develop AI systems that enable robots to understand context, plan actions, and adapt their behaviour based on accumulated experience, with a focus on making robot decisions legible to human collaborators.

The position is a four-year employment contract with a salary of SEK 35,725 per month. It can be extended to five years with up to 20% teaching duties. Candidates are expected to work with both simulated platforms and real robotic hardware.

Responsibilities

• Design interpretable learning frameworks that allow collaborative robots to understand, plan, and adapt actions in dynamic environments.
• Implement and test methods on simulated environments (Unity, Gazebo, or MuJoCo) and physical robotic platforms.
• Publish research findings in peer-reviewed journals and conference proceedings in robotics and AI.
• Collaborate with academic and industrial partners in joint research projects.
• Contribute to undergraduate and master’s level teaching for up to 20% of working hours.

Requirements

• Master’s degree (240 or more credits) in Engineering, Computer Science, Robotics, or a closely related field.
• Solid background in machine learning and robotics.
• Proficiency in C++, Python, and ROS (Robot Operating System).
• Strong written and spoken English.

Nice to have

• Experience with simulation environments such as Unity, Gazebo, or MuJoCo.
• Documented implementations of AI methods on physical robotic platforms.
• Knowledge of robot planning, motion control, or explainable AI.
• International research experience or published peer-reviewed papers.

How to apply

Submit all materials as PDF files (maximum 40 MB each) via the online form at the apply URL above. Include:

• CV with publication list.
• Personal letter describing research background and motivation.
• Copies of master’s thesis and transcripts.

Deadline: 30 June 2026. Contact the Division of Systems and Control at Chalmers for scientific questions before submitting your application.