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Description Mechatronic design of robotic systems. Implementation of robot control systems. Programming of simulation systems. Testing of developed software. Support for communication activities. Where to apply
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Inria, the French national research institute for the digital sciences | Villers les Nancy, Lorraine | France | about 1 month ago
. The human vocally commands the robot interactively, online, to control the generation of its motion at the low level: start, stop, direct, and change its low-level parametrization (e.g., compliant behavior
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/electrical/control/robotics engineering, computer science, or equivalent. You can demonstrate excellent study results (minimum distinction and preferably great distinction). You have strong programming skills
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of the MAVRICS team, specialized in collaborative robotics, human–robot interaction, and adaptive control. (https://www.lgp.enit.fr/fr/composition-des-equipes-2/departement-scient… ). Instruction to apply: Please
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, fully-funded PhD student focused on control, optimization, game theory, and embodied intelligence in robotics and autonomous systems. This is a unique opportunity to work on a project combining cutting
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Application deadline: 31/01/2026 Research theme: Control Engineering, Robotics UK only This 3.5-year PhD studentship is open to Home (UK) applicants. The successful candidate will receive an annual
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with industrial research partners, develop innovations, and offer students excellent academic teaching in the fields systems theory, automation, and control engineering. More info at https
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, and cross-domain knowledge transfer between robot types and manipulation scenarios by considering important challenges which include interaction and perception modalities and control methods to increase
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Control - Resilient autonomy for Self-Healing Soft Robotic Platforms - Uncertainty-Aware and Predictive Human-Robot Interaction Qualifications To be qualified for the position, you must have a MSc degree in
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areas providing a template for relevant directions: - Embodied Intelligence for Soft Robotic Systems - Foundational Models for Adaptive Soft Robots - Real-Time Adaptive and Stiffness-Aware Control