Doctoral student in AI and Robotics for Production Full-time NEW

Doctoral Student In Ai And Robotics For Production

We are seeking a motivated PhD student in intelligent robotics for production, with a focus on robot learning and AI-enabled automation. The research aims to develop intelligent robotic systems that combine learning-based methods and advanced algorithms to support flexible, adaptive and human-centred industrial production. The work includes reinforcement learning, foundation models, world models and dexterous manipulation with applications in real industrial environments.

The PhD student will collaborate closely with leading researchers, industrial partners, and international collaborators, contributing to both scientific advances and industrial innovation. The position is part of the Center of Excellence for Production Research (XPRES) and includes collaboration with leading European universities. The doctoral student will also join the new Production Systems and Automation unit at KTH, an inclusive and internationally oriented environment for research in intelligent robotics and automation for future production systems. We welcome applicants with diverse backgrounds and perspectives.

Supervision: Xi Wang och Sichao Liu is proposed to supervise the doctoral student. Decisions are made on admission

To be admitted to postgraduate education, the applicant must have basic eligibility in accordance with either of the following: passed a second cycle degree (for example a 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, in some other way within or outside the country, substantially equivalent knowledge. In addition to the above, there is also a mandatory requirement for English equivalent to English B/6.

In order to succeed as a doctoral student at KTH you need to be goal oriented and persevering in your work. During the selection process, candidates will be assessed upon their ability to independently pursue his or her work, collaborate with others, have a professional approach and analyze and work with complex issues. After the qualification requirements, great emphasis will be placed on personal skills.