Research Associate in Soft Robots for Medical and Surgical Applications
Salary: Grade 7 £31,302 - £39,609 per annum.
Hours: Full time
Closing Date: 15th June 2019
Contract Type: Fixed-term with a start date of 1 October 2019 until 30 September 2021
We have an exciting opportunity in the Sheffield Biomedical Robotics Laboratory for someone
with a passion for the fields of soft robotics, and medical and surgical robotics.
This post provides a unique opportunity to contribute to research and development of transformative surgical techniques for the repair and reconstruction of soft tissues. This project proposes an approach for tissue repair and reconstruction that uniquely unifies three lines of research previously thought incompatible: autonomous control in robotics, soft-matter in material engineering and mechanotherapy in bioengineering. It advances the state of the art by initiating the development of an all-in-one framework of soft robotic implantable technologies that undergo physical transformations while delivering controlled tissue therapy. This post is funded by the EPSRC (Engineering and Physical Sciences Research Council), and the project’s clinical and industrial partners, Sheffield Children’s Hospital, Sheffield Royal Hallamshire Hospital and B Braun Medical Ltd.
In the Sheffield Biomedical Robotics Laboratory, our group’s mission is to develop bionic and biomedical robots that support sustained autonomous operation for long-term adaptive healthcare. We have expertise in design, fabrication, control and evaluation of these biomedical robots in pre-clinical trials. This is an exciting opportunity to join an internationally leading research group and conduct medical robotics research in an interdisciplinary project involving engineers, scientists and clinicians. Details of our research can be found on our web pages.
You should have a good relevant honours degree in engineering/computer science (or equivalent experience) and hold a PhD (or be close to completion of a PhD) in robotics, mechanical engineering, electronic engineering, material engineering, or a related area (or equivalent experience). Strong knowledge of experimental implementation of soft-matter devices is an advantage.
While you will have an opportunity to build on your own research experience and strength to contribute to the research
project, you will also contribute to the reputation of Automatic Control and Systems Engineering Department as the leading department in systems and control.
The principal investigator and line manager for this role is Dr Dana Damian.