|Location||Edinburgh, United Kingdom|
|Date Posted||December 21, 2017|
The successful candidates will undertake research work on an international project co-funded by OGIC and industrial partners. The project will build upon existing HWU research in uncertainty quantification of reservoir predictions, geomodelling and machine learning.
The two appointees will be involved in implementing a new workflow in a high performance computing/cloud computing environment and will apply it to complex real life field case studies. The appointees will be required to demonstrate initiative, creativity and passion in applying existing skills and domain knowledge and learning new techniques. The role-holders will be involved in running workshops and tutorial sessions with industry representatives and be required to engage with industry practices and workflows.
Key duties and responsibilities
The key duties and responsibilities attached to this role will include the following:
Undertaking research according to the project scope
Communicating with industrial partners to elicit essential information for the project
Integrating data and knowledge into the created reservoir prediction workflows.
Undertaking regular communication and dissemination of the project progress and outcomes to the project partners.
Writing publications and presenting results to a wider industry and academic community.
Education, qualifications and experience
MSc level education in an integrated sub-surface petroleum-related subject with high overall grades achieved.
Strong geoscience background and familiarity with geological concepts and steps in interpreting the sub-surface.
Experience in reservoir simulation and modelling.
Relevant experience in reservoir characterisation and history-matching real reservoirs and experience in reservoir history-matching approaches.
Ability to produce and analyse geological (static) models.
Excellent communication skills, with the ability to present to clients and to run workshops/training sessions to standards expected by industry.
Familiarity with coding languages such as R and Python..
Excellent organisational skills, with the ability to work under time pressure, meet the deadlines and deliver the outcomes.
Creative thinking and capacity to look for innovative solutions.
MSc in Reservoir Evaluation and Management (Heriot-Watt)
How To Apply
Applications can be submitted up to midnight (UK time) on 4th January 2018
Informal enquiries about these positions should be directed to Dr Vasily Demyanov - V.Demyanov@hw.ac.uk
Consideration will be given to applications on a part-time and/or job-share basis.
This role does not meet the minimum requirements set by UKVI to enable sponsorship of migrant workers. Therefore we cannot progress applications from candidates who require sponsorship to work in the UK. For further information on this please visit the UK Visas and Immigration website: https://www.gov.uk/browse/visas-immigration/work-visas
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