Research Assistant in Real Time Mining Data Analysis and Modelling

Imperial College London - Department of Earth Science and Engineering

Location: South Kensington Campus, London

Contract Type: Full-Time, Fixed Term contract for 20 months

The Minerals, Energy and Environmental Engineering Research Group (MERG) at Imperial College is internationally recognised as a multi-disciplinary centre of excellence in applied engineering research attracting funding from UK Research Councils, the European Commission, world leading oil and gas operators and minerals producers, as well as the UK Government and The Crown Estate. 

The Group is currently carrying out research into real time monitoring and use of field data to increase resource efficiency in raw materials extraction, while reducing operational risks and environmental impacts.  In collaboration with industrial and research partners in seven different European countries, the group has access to high quality field data, complemented with laboratory experimental and numerical research carried out at the College. The aim of the research is to establish timely and accurate indicators of resource characteristics, production performance, environmental hazards and risks in mining for a number of international operations. Besides the generation of ground-breaking original knowledge, the results of MERG’s work are used to optimise the minerals extraction operations studied.

A Research Assistant position within MERG is available as part of a wider research programme on real time mining data monitoring and modelling. The successful candidate will join a large research group of post-doctoral and graduate researchers based at Imperial College and work closely with research institutions and industry in France, Germany, Poland, Portugal, Slovenia, Spain and the Netherlands.

The successful applicant will be required to register for a PhD degree at Imperial College.

Duties and responsibilities

  • Using geostatistical methods, you will set up and simulate 3-dimensional mining resource models for hard rock mining;
  • You will develop fast resource model update methodologies using real time monitoring data;
  • You will simulate alternative scenarios of mineral extraction processes and devise resource sampling methods (discrete and continuous) for grade and other resource parameters;
  • You will devise optimal spatial and temporal sampling scenarios for different mine resource settings, mine production methods and environmental conditions;
  • You will prepare results for publication and dissemination via journals and presentations;

Skills, knowledge and experience

  • You should have a first or upper second class honours degree (or equivalent) in engineering or physical-sciences.
  • You will have experience in geostatistical resource modelling and numerical simulation.
  • You will have a good understanding of mining engineering fundamentals.

Informal enquiries about the position can be made to Professor Anna Korre (, Tel: +44 (0) 20 7594 7372.

Any queries regarding the application process should be directed to Katie Rycraft at

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Committed to equality and valuing diversity, we are also an Athena SWAN Silver Award winner, a Stonewall Diversity Champion, a Disability Confident Employer and are working in partnership with GIRES to promote respect for trans people.

The College is a proud signatory to the San-Francisco Declaration on Research Assessment (DORA), which means that in hiring and promotion decisions, we evaluate applicants on the quality of their work, not the journal impact factor where it is published. For more information, see

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