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Dieter Büchler
4 months ago
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PhD and Postdoc Positions in Physical AI, Robot Learning, Soft Robotics, and Reinforcement Learning at JKU Linz Johannes Kepler University Linz in Austria
Degree Level
PhD, Postdoc
Field of study
Computer Science
Funding
Multiple PhD and postdoc positions are open at JKU Linz. The post does not specify stipend, salary, tuition, or funding details, only that positions are being hired and filled on a rolling basis.
Deadline
Expired
Country
Austria
University
Johannes Kepler University Linz
Suggested positions
Keywords
About this position
Johannes Kepler University Linz is advertising multiple research openings in physical AI, including PhD and postdoc positions in robot learning, robot design for robot learning, continual learning, sim-to-real transfer, foundation models for embodied intelligence, soft robotics, and reinforcement learning.
The post is shared by Dieter Büchler, Full Professor at JKU Linz. The positions appear to be research-focused and are likely suited to candidates with strong interests in robotics, machine learning, and intelligent systems. The announcement emphasizes that the roles are being filled on a rolling basis, so early application is encouraged.
There is no detailed funding package, stipend amount, or tuition information in the post. Applicants should use the role-specific links provided for the PhD and postdoc openings, or contact the announcer directly via LinkedIn DM if needed.
Research areas: robot learning, physical AI, embodied intelligence, soft robotics, reinforcement learning, continual learning, sim-to-real, foundation models.
Institution: Johannes Kepler University Linz.
Application: Apply through the linked pages for the specific PhD or postdoc role. Positions are filled on a rolling basis.
Funding details
Multiple PhD and postdoc positions are open at JKU Linz. The post does not specify stipend, salary, tuition, or funding details, only that positions are being hired and filled on a rolling basis.
What's required
Applicants should be interested in physical AI and related topics such as continual learning, sim-to-real transfer, foundation models for embodied intelligence, soft robotics, robot learning, robot design for robot learning, and reinforcement learning. The post does not specify degree prerequisites beyond PhD and postdoc openings, and positions are filled on a rolling basis.
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Professors
Full Professor
Austria
Research Interests
Artificial Intelligence
Robotics
Computer Science
Ml
Electrical Engineering
Make your next move.
Prepare your application
Review drafts and confirm requirements with the university.