Graduate Teaching Assistant, Robot Learning & Design

Johannes Kepler University; Österreich; Vor Ort; EUR 40.000 - 54.000; Vollzeit

Benefits dieser Stelle

Campus environment

Continual educational opportunities

State-of-the-art infrastructure

Dynamic research environment

On-campus dining services/healthy food

Sports facilities (USI)

Zusammenfassung

The Johannes Kepler University Linz invites applications for a Graduate Teaching Assistant in robot design for robot learning. The four-year position may be full-time or part-time and requires a Diploma or Master’s degree (Ph.D. position considered).

The institute focuses on learning-enabled robotics and provides strong mentoring, international collaboration, and a dynamic campus environment. The role involves research and teaching in robot learning, leading hardware development (3D printing,

Qualifikationen

• Completed diploma or master's degree in robotics, computer science, or related field.
• Strong motivation, independence, and ambition.
• Interest in AI and robotics.
• Programming experience in Python or C++.
• Familiarity with CAD tools and ROS/ROS2 is a plus.
• Willingness to acquire additional competencies.
• English and German language skills at B2.

Aufgaben

• Contribute to research and teaching in robot learning.
• Lead robot hardware design and 3D printing/manufacturing.
• Publish in top robotics and ML venues.
• Set up software stack around the robot, including sensors and interfaces.
• Develop ML approaches focusing on reinforcement learning on hardware.
• Supervise students and mentor under PI guidance.

Kenntnisse

Python

C++

ROS/ROS2

PyTorch

CAD tools

3D printing

Ausbildung

Diploma or Master's degree in robotics

PhD position (Ph.D. candidate considered)

Related fields: CS, mechatronics, electrical engineering

Tools

Fusion 360

SolidWorks

FreeCAD

MuJoCo

Isaac Gym

ROS

Jobbeschreibung

The Johannes Kepler University Linz invites applications for a Graduate Teaching Assistant in robot design for robot learning. The four-year position may be full-time or part-time and requires a Diploma or Master’s degree (Ph.D. position considered).

The institute focuses on learning-enabled robotics and provides strong mentoring, international collaboration, and a dynamic campus environment. The role involves research and teaching in robot learning, leading hardware development (3D printing,