Developing data sensing and analysis techniques for small mines, Camborne School of Mines, PhD (Funded)

We are inviting applications for a PhD position in the area of remote sensing, automation and machine control.

The successful candidate will be responsible for developing research related to integrating new sensor technologies for data acquisition, data processing and data visualization to enable a decision making platform for automation and intelligent mining, particularly for mines with no permanent communication infrastructure.

The PhD student will work closely with other members of the research team at Camborne School of Mines of University of Exeter (Penryn Campus, Cornwall).
Main tasks will include:
• Development of data acquisition elements using multiple sensing technologies, and store and forward protocols for infrastructure-free communications.
• Testing the applicability of these techniques for automated mining applications in underground environments.
• Developing a mining intelligence platform that uses data processing and data visualization techniques such as virtual, mixed and augmented reality, in order to enhance mine operations.
This project will investigate, potentially develop, validate and test new sensors, communication elements, systems and workflows and their applicability for automated and intelligent mining. This project will also investigate the use of intelligence for process improvement.
The studentship will be awarded on the basis of merit for 3.5 years of full-time study to commence in June 2018 and is subject to confirmation of funding.