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Graduate - Computational Geophysicist - PhD

Graduate - Computational Geophysicist - PhD

  • Location United Kingdom - South East - Sunbury
  • Travel required
  • Job category Subsurface Group
  • Relocation available
  • Job type Graduates
  • Job code 133146BR
  • Experience level
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Job summary

bp’s Subsurface Digital organization comprises approximately 150 advanced scientists, including geophysicists, geologists, reservoir engineers and petrophysicist. Discipline-based teams, for example Seismic Technology, provide resources to conduct research and development, technology deployment, and specialist technical service work through multi-disciplinary squads. These agile squads are dynamically allocated in service of the business needs across the company – from resource access/renewal, through development and production, to renewable energy sources and energy transition activities.

Key accountabilities & role dimensions:

  • Develop and deploy computationally demanding codes and workflows for geophysical modelling and subsurface model building, either as an individual contributor or as part of a flexible team
  • Apply good geophysical judgement on the cost-quality curve for algorithm development, with the aim to progress algorithms to computational programs at the right time and quality to address business issues or add new capability
  • Work collaboratively between Seismic Technology and HPC staff to identify and help evaluate future opportunities that may provide distinctive and differentiating use of existing resources or investment in emerging hardware or approaches to processing
  • Work with agile technology development/delivery squads to ensure timely and quality project execution.

The ideal candidate must have a strong academic record, the capability to innovate, an ability to apply new technology developments to solve business problems and demonstrate a track record of applied coding skills. For example:
  • Familiarity with simulating wave phenomena, such as various forms of the acoustic, elastic, or anelastic wave equations in anisotropic and attenuating media, particularly with finite difference (FD) approximations.
  • Experience with other methods e.g. finite element (FE), pseudo-spectral, etc...would be advantageous
  • Equally, familiarity with FD/FE approximations of Maxwell’s equations
  • Familiarity with building geological models of the subsurface (rocks, fluids, structure and stratigraphy) that are realistic enough to permit complex geophysical wavefield simulation
  • Experience with coupling wave propagation with deformation and fluid flow
  • Experience with geophysical acquisition methods, survey design, or operations would be advantageous.

The successful candidate will be expected to work with colleagues, across the geophysics, geoscience, engineering, and digital teams, based in the US and UK, and also with the High-Performance Computing Centre (HPCC) teams - to consult the group on future hardware and software developments and efficient use of the HPC resource and investment.

You must be either:
  • in your final year of an advanced degree in a relevant field (PhD or MSc), either in geophysics, physics, or applied mathematics, with a strong computer science element.
  • you must have already graduated or completed a PhD or Masters course in a relevant field.

Remember, you can only apply for ONE opportunity. If you are not sure that this is the opportunity for you, please return to our Candidate Matcher to review your other matches.   
Within the education section please list all information for any degrees that you have studied or are currently studying. 

If you need to make any adjustments to any stage of the recruitment process, for example due to an illness, injury or a disability, please contact us on 0800 279 2088 or email enquiry@bpgraduates.co.uk. If you are calling from overseas, please dial +44 1635 584149. 
Diversity sits at the heart of our company and as an equal opportunity employer, we stay true to our mission by ensuring that our place can be anyone's place. We do not discriminate based on race, religion, colour, national origin, gender identity, sexual orientation, age, marital, veteran or disability status.

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