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This project focuses on the development of embodied intelligence in robotic materials and design, investigating how adaptive and stimuli-responsive materials, combined with engineered geometry and fabrication methods, can produce robotic systems whose behavior emerges from the interaction between material properties, structure, and environment. Rather than relying on complex sensing hardware and computational control, we aim to explore how sensing, actuation, and feedback can be embedded directly within material systems, enabling intrinsic and simulation-informed adaptation. Through mechanical simulation, inverse design, and additive manufacturing, the project aims to predict, design, and fabricate soft robotic systems with programmable deformation and emergent behavior, ranging from simple single-material actuators to multi-material, multi-responsive systems capable of complex environmental interaction.
Job Responsibility:
Develop computational and inverse-design methods from structural mechanics to model and predict the behavior of stimuli-responsive materials, linking material properties, geometry, and environmental inputs to targeted deformation and functional response
Design and fabricate soft robotic systems using additive manufacturing and multi-material design strategies, focusing on how structural geometry and material composition can be engineered to produce targeted, programmable deformation and actuation behavior
Develop and implement finite element–based and reduced-order models to capture nonlinear deformation, coupled multiphysics behavior, and material–structure interaction in soft robotic systems
Investigate and implement stimuli-responsive and adaptive materials (e.g. polymers and material gradients), exploring how their intrinsic physical properties can be leveraged to enable sensing, feedback, and actuation directly within the material system
Requirements:
Master's degree in mechanical engineering, materials science, or a closely related field
Strong written and spoken English communication skills
Prior research experience demonstrated through a Master's thesis, research project, or equivalent academic work
Experience with academic writing and/or research dissemination (e.g. thesis, reports, publications, or equivalent outputs)
Strong motivation to engage in interdisciplinary research at the interface of materials, mechanics, fabrication, robotics, and computational design
Willingness to develop new experimental, computational, and fabrication skills throughout the course of the PhD
Interest in collaborative, research-driven environments and experimental design methodologies
Background or strong interest in mechanics, simulation, and additive manufacturing is highly desirable, but not a must
Nice to have:
Background or strong interest in mechanics, simulation, and additive manufacturing
What we offer:
International, multidisciplinary, and highly motivating working environment
Extensive mentoring, supervision, and career-planning support from two PIs
Access to state-of-the-art lab facilities, including advanced fabrication and testing equipment
Collaborations with world-leading research groups at MPI-IS and beyond
Networking opportunities through conferences, seminars, and research visits