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Johannes Kepler University Linz
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Fully Funded PhD Position in Robot Learning, Continual Learning and Embodied AI Johannes Kepler University Linz in Austria
Degree Level
PhD
Field of study
Computer Science
Funding
This is a fully funded, four-year salaried full-time position paying at least €3,776.10 gross per month, paid 14 times per year.
Deadline
Dec 11, 2026
Country
Austria
University
Johannes Kepler University Linz
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About this position
Johannes Kepler University Linz in Austria is offering a PhD opportunity in robot learning within the Institute for Machine Intelligence.
The thesis investigates continual learning, sim-to-real transfer, embodied artificial intelligence, reinforcement learning, tactile sensing and robot control. The project sits at the intersection of machine learning and robotics, with a focus on enabling robots to learn continuously and operate effectively in embodied, real-world environments.
Research activities may involve developing learning methods that transfer from simulation to physical robots, designing reinforcement-learning approaches for robotic control, and using tactile sensing to improve perception and interaction. The work provides an opportunity to contribute to the development of intelligent robotic systems and practical robot-learning methods in a machine-intelligence research environment.
Funding details
This is a fully funded, four-year salaried full-time position paying at least €3,776.10 gross per month, paid 14 times per year.
What's required
Applicants need a completed Master’s or Diploma in robotics, computer science, engineering, artificial intelligence, physics, mathematics or a related field. Programming experience and English at C1 level are required. German at B2 level and experience with robotics software are advantageous.
How to apply
Apply through the Johannes Kepler University Linz job portal using the advertised Robot Learning PhD position. Submit the required application materials through the online job-offer page before 11 December 2026.
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Review drafts and confirm requirements with the university.
Make your next move.
Prepare your application
Review drafts and confirm requirements with the university.