This is a 12-week fixed-term Research Intern position within the Future AI Infrastructure research group at Microsoft Research Cambridge (UK), as part of our “Materials for the Cloud” project to improve the cost, performance or sustainability of future AI cloud infrastructure.  This is a unique opportunity for a student researcher with experimental skills in materials synthesis and characterisation, thin films, and optics to design, fabricate and characterise novel materials for future AI infrastructure.

The ideal candidate will have a can-do and open-minded attitude and be prepared to work within a rapidly changing research environment, while simultaneously taking a rigorous and systematic approach to design, implementation and debug of physical systems with a high attention to detail.

You will be tasked to use your breadth of knowledge in materials physics, thin-films, and optics to develop techniques to design and prototype next generation materials for cloud infrastructure applications.  You will be required to envisage, design, and model new thin-film materials, and then validate these designs by experimentally fabricating and characterising their properties.

You will work with researchers in materials, optics, electronics, machine learning and computer science, feeding back results and experience as well as learning about, considering, and understanding the additional constraints to find good solutions to difficult problems.