Candidates should hold a previous degree (Bachelor’s and/or Master’s) in Computer Science, Data Science, Robotics, Mechatronics, or Software Engineering, with demonstrated knowledge in machine learning, algorithms, and programming.
Prior exposure to reinforcement learning or human-robot interaction is highly desirable, though motivated candidates with a strong grounding in AI/ML and willingness to learn robotics or human-centered research methods will also be considered.
Experience with programming languages (particularly Python), deep learning frameworks, and robotic simulation platforms (ROS, Gazebo, Webots, or similar) will provide a significant advantage.
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