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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

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Country

Austria

University

Johannes Kepler University Linz

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Keywords

Computer Science
Artificial Intelligence
Reinforcement Learning
Tactile Sensing
Robotics
Continual Learning
Robot Control Systems

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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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