Lund University – Faculty of Engineering (LTH), Department of Computer Science is seeking a highly motivated PhD student in Computer Science to join the Robotics and Semantic Systems (RSS) division, focusing on Human-Robot Interaction within multi-robot safety applications. The position forms part of a collaborative research project with Linköping University, targeting agent-based multi-robot interaction where humans interact with multiple autonomous robotic systems in dynamic and safety-critical environments such as public safety or search-and-rescue.

As a PhD student, you will engage in research, doctoral coursework, seminars, and conferences while being employed by Lund University. Your work will explore computer-science-driven methods that enable intelligent autonomous systems to collaborate more effectively with humans. You will develop skills in independent research, problem-solving, scientific methodology, and communication, while contributing to a broader mission of advancing next-generation robotics.

Key responsibilities:

• Conduct research in Human-Robot Interaction with a focus on mixed-initiative multi-robot systems.

• Participate in project collaborations, including meetings with partners at Linköping University.

• Contribute to RobotLab LTH experiments, system integration, and empirical evaluation.

• Enroll in doctoral courses, present research at workshops and conferences, and engage in departmental activities.

• Participate in teaching or department duties up to 20% (contract extended accordingly).

Required qualifications:

• Meets general entry requirements for third-cycle studies plus Computer-Science-aligned background.

• Strong mathematical abilities, solid programming experience, and capability to work independently.

• Proven skills in AI beyond ML, and documented experience in Machine Learning/Deep Learning/LLMs.

• Excellent written and spoken English; strong communication and collaboration skills.

Merits:

• Experience with Human-Robot Interaction, user studies, or cognitive systems.

• Familiarity with ROS / ROS2, simulation environments (Unity/Unreal), or media-processing tools.

This full-time, fixed-term PhD position offers the opportunity to contribute to innovative robotics research while developing expertise within an internationally connected academic environment.