Minimally invasive surgery has revolutionized medicine by enabling interventions without large incisions, thereby significantly improving clinical outcomes. Such surgical techniques include insertions of needles, catheters, endoscopes, and self-propelled micro-robots. For effective medical diagnosis and treatment, the device must reach its intended target. In order to increase the targeting accuracy of the procedure and improve clinical outcomes, the goal of this research project is to develop methods for modeling the interaction of existing and novel medical instruments with soft tissues and with fluids. These models would be used to track and control the path of the medical instrument using images. The successful applicant has completed a Master’s degree in mechanical, biomedical, or electrical engineering, or applied physics or in a closely related discipline. He or she should possess excellent skills and practical experience in one or more of the following research areas: system dynamics and control, mechatronics, applied mechanics, and image processing. Experience at the intersection of one or more of these areas is desirable. An interview will be part of the selection procedure.