Advancements in Finite Element Modeling of Soft Robotics for Biomedical Applications

This research project presents an intriguing opportunity for individuals intrigued by the intersection of finite element modeling and soft robotics, particularly within the realm of biomedical applications. Soft robotics, characterized by flexible and compliant structures inspired by biological organisms, holds tremendous promise for revolutionizing medical devices and interventions. This project aims to explore innovative finite element modeling techniques to simulate and optimize the performance of soft robotic systems tailored for biomedical tasks such as surgical assistance, drug delivery, and rehabilitation. Candidates with backgrounds in mechanical engineering, biomedical engineering, or related fields are encouraged to apply and contribute to the development of computational models for soft robotics in biomedical settings. The research will involve developing finite element models that accurately capture the complex mechanical behavior of soft robotic actuators, sensors, and interfaces within biological environments. This includes incorporating material properties, geometric parameters, and environmental conditions to simulate and predict the performance of soft robotic systems under various loading and operating conditions. Additionally, candidates will have the opportunity to validate the finite element models through experimental testing and collaborate with clinicians and researchers to translate the findings into practical biomedical applications. Through interdisciplinary collaboration and hands-on research experience, candidates will be equipped with the skills and knowledge to drive innovation in finite element modeling and contribute to the advancement of soft robotics for biomedical purposes. Applications are accepted on a rolling basis, providing candidates with the opportunity to join a dynamic research team dedicated to pushing the boundaries of finite element modeling in soft robotics for biomedical applications. Contact us to learn more about this exciting opportunity and how you can contribute to shaping the future of biomedical engineering through computational modeling and soft robotics.

Contact: [email protected]