Developing data sensing and analysis techniques for small mines, Camborne School of Mines, PhD (Funded) Ref: 3145

About the award

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 the 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 on 24 September 2018 and is subject to confirmation of funding.

Dr Declan Vogt, University of Exeter
Dr Matt Eyre, University of Exeter
Professor Kip Jeffrey, University of Exeter



Application deadline:16th May 2018
Duration of award:per year
Contact: Postgraduate Research

How to apply

In the application process you will be asked to upload several documents. 
• CV
• Letter of application outlining your academic interests, prior research experience and reasons for wishing to undertake the project
• Research proposal
• Transcript(s) giving full details of subjects studied and grades/marks obtained
• Names of two referees familiar with your academic work. You are not required to obtain references yourself. We will request references directly from your referees if you are shortlisted.
• If you are not a national of a majority English-speaking country, you will need to submit evidence of your proficiency in English

The closing date for applications is midnight on 16 May 2018.  Interviews will be held at the University of Exeter Penryn Campus the week commencing 30 May 2018.

If you have any general enquiries about the application process please email or phone +44 (0)1392 722730.  Project-specific queries should be directed to the main supervisor.

Please quote reference 3145 on your application and in any correspondence about this project

Entry Requirements

Applicants for this studentship must have obtained, or be about to obtain, at least a 2:1 Honours degree in Mining, Civil, or Electrical Engineering or a related discipline. Advanced computer programming skills are required. Field experience in mine management, remote operations, data centre management and/or machine control is highly desirable.

If English is not your first language you will need to have achieved at least 6.0 IELTS and no less than 6.0 in any section by the start of the project.  Alternative tests may be acceptable (see


Dr Declan Vogt, University of Exeter
Dr Matt Eyre, University of Exeter
Professor Kip Jeffrey, University of Exeter