Autonomous self-optimising materials platform

The University of Sheffield has an exciting research opportunity for a self-motivated PhD student with skills or interests in mathematics, reinforcement learning, optimisation, robotics, materials, controls and simulation to join a dynamic research team as part of a major 3-year EPSRC-funded Precision Manufacturing programme - NanoMan: Self-Optimising Nanoscale Manufacturing Platforms for Achieving Multiscale Precision. Informed by chemistry, materials and biology, this cross-disciplinary project will involve the creation of new algorithms to control autonomous platforms for various applications. As a result, the candidate must have demonstrable skills in interfacing with and controlling hardware platforms. Furthermore, the candidate must have demonstrable understanding of mathematical models and their applications to engineering problems.