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Publisher
source

Dieter Büchler

4 months ago

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 flag

Country

Austria

University

Johannes Kepler University Linz

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Keywords

Computer Science
Mechanical Engineering
Electrical Engineering
Mathematics
Reinforcement Learning
Robotics
Continual Learning

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

University Name
Country flag

Austria

Research Interests

Artificial Intelligence

Robotics

Computer Science

Ml

Electrical Engineering