morphological complexity influence robotic function, and how these principles can be exploited to create robots that are flexible, robust, and adaptable to diverse environments.

Potential research directions include:

• Develop and validate multibody/FEA simulation pipelines for anthropomorphic and non-anthropomorphic robotic morphologies, including continuum and compliant-mechanism models.
• Design novel mechanical principles for robotic morphology, including variable-topology linkages, hybrid rigid-soft architectures, and unconventional joint mechanisms.
• Design, fabricate, and characterize modular, reconfigurable, and soft robotic systems (e.g., via additive manufacturing, soft lithography, or moulding techniques).
• Build computational models linking morphology, mechanics, and motion (e.g., kinematic/dynamic modelling, topology optimization, reduced-order modelling of soft structures).
• Conduct systematic studies on how symmetry, asymmetry, and structural compliance affect manipulability, stability, and energetic efficiency.
• Implement and benchmark adaptive robotic platforms for manipulation, mobile locomotion, and physical human-robot interaction, including relevant control and sensing integration.
• Supervise students and contribute to robotics teaching activities.

Candidate Profile

• PhD candidates hold a Master's degree, or are near completion, in mechanical engineering, electronics, computer science or a relevant field.
• Self-motivated and independent with a strong background in at least one of the following topics: human-robot interaction, hardware development, soft robots, computer vision, sensor fusion, machine learning, physics simulation
• Hands-on experience with robot design
• Previous conference or journal publications
• Previous experience in teaching assistance and good communications skills highly desired.

Applications will be reviewed as received.

morphological complexity influence robotic function, and how these principles can be exploited to create robots that are flexible, robust, and adaptable to diverse environments.

Potential research directions include:

• Develop and validate multibody/FEA simulation pipelines for anthropomorphic and non-anthropomorphic robotic morphologies, including continuum and compliant-mechanism models.
• Design novel mechanical principles for robotic morphology, including variable-topology linkages, hybrid rigid-soft architectures, and unconventional joint mechanisms.
• Design, fabricate, and characterize modular, reconfigurable, and soft robotic systems (e.g., via additive manufacturing, soft lithography, or moulding techniques).
• Build computational models linking morphology, mechanics, and motion (e.g., kinematic/dynamic modelling, topology optimization, reduced-order modelling of soft structures).
• Conduct systematic studies on how symmetry, asymmetry, and structural compliance affect manipulability, stability, and energetic efficiency.
• Implement and benchmark adaptive robotic platforms for manipulation, mobile locomotion, and physical human-robot interaction, including relevant control and sensing integration.
• Supervise students and contribute to robotics teaching activities.

Candidate Profile

• PhD candidates hold a Master's degree, or are near completion, in mechanical engineering, electronics, computer science or a relevant field.
• Self-motivated and independent with a strong background in at least one of the following topics: human-robot interaction, hardware development, soft robots, computer vision, sensor fusion, machine learning, physics simulation
• Hands-on experience with robot design
• Previous conference or journal publications
• Previous experience in teaching assistance and good communications skills highly desired.

Applications will be reviewed as received.