Doctoral Student in AI and Robotics for Production
Join KTH to research intelligent robot learning and foundation models for adaptive industrial manufacturing.
Best for:Best for master's graduates in computer science or robotics with a strong background in machine learning and reinforcement learning.
Overview
KTH Royal Institute of Technology is seeking a motivated doctoral student to investigate intelligent robotics and AI-enabled automation for modern manufacturing. Based within the Production Systems and Automation unit and the Center of Excellence for Production Research, the successful candidate will develop learning-based robotic systems and advanced algorithms. The research covers reinforcement learning, foundation models, and dexterous manipulation for real-world industrial environments. The candidate will collaborate closely with international researchers and industrial partners while pursuing a doctoral degree.
What you'll do
- Develop intelligent robotic systems integrating learning-based methods and advanced algorithms for flexible industrial production
- Design and implement algorithms in reinforcement learning, foundation models, and world models
- Conduct research on dexterous robotic manipulation with deployment in real industrial settings
- Collaborate closely with academic researchers, international partners, and industrial stakeholders
- Contribute to scientific publications and participate in international conferences and workshops
- Engage with the Center of Excellence for Production Research activities and collaborative initiatives
Requirements
Degree required: Master's degree or second-cycle degree, or equivalent qualifications of at least 240 higher education credits including 60 second-cycle credits
Degree offered: PhD
Language: English; equivalent to Swedish upper secondary course English B/6
Instruction: English
- Solid background in artificial intelligence, machine learning, or robotics
- Experience with reinforcement learning or foundation models
- Ability to conduct independent scientific research and analyze complex problems
- Strong motivation and perseverance toward achieving long-term research goals
- Fulfil basic eligibility requirements for postgraduate education via a second-cycle degree or equivalent knowledge
Funding & terms
How to apply
Submit your application through the official KTH recruitment portal before the stated deadline. Ensure all required academic transcripts, CV, and supporting documents are properly attached according to the guidelines.
- CV
- Master's degree transcripts
- Cover letter
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