Imaging Geophysicist

Entity: Technology Job Family Group: Subsurface Group Job Description: Please note that roles based out of SJS or Sunbury will move to Timber Square, Southwark, from Q4 2027 We are looking for an Imaging Geophysicist who is passionate about solving complex subsurface imaging challenges for bp's upstream business.

This role is ideal for an innovative problem solver who enjoys collaborating with leading imaging experts. You will join bp's Imaging Technology team, a recognized leader in seismic acquisition and imaging technology, within Upstream R&D, where the mission is to drive innovation for the upstream business.

We do this by inventing new ideas, building new products, providing technical expertise, and supporting business units to help solve their near, mid, and long-term challenges. The Imaging team works very closely with the Centre for High-Performance Computing (CHPC), which is home to our on-prem super-computing facilities and a team of computational scientists.

You will work towards cutting edge challenges that involve acquiring unique datasets, solving inverse problems, performing seismic wave simulations, signal processing tasks, developing stochastic algorithms, and estimating uncertainties.

We are looking for someone who not only excels at these tasks but can communicate complex information to our business units and build a vision for the future - someone who can process complex information, be creative and has ideas on visualizing and communicating the same.

This position offers excellent opportunities to work with a lot of data ("BIG" data in both static and streaming senses), a lot of computers and challenging business problems. What you will deliver Quickly getting up to speed with the existing technology & frameworks Finding opportunities that can have groundbreaking business impact Writing code, building, and applying technical solutions to bring your ideas to life Staying inquisitive and being creative Collaborating with scientists from different subject areas What you will need to be successful (experience and qualifications) Advanced degree (PhD) in in a relevant field, e.g. geophysics, physics, applied mathematics, with a strong computer science element, statistics & other numerical disciplines Experience with developing algorithms such as modern digital signal or image processing Knowledge of blended acquisition, deblending, novel signal reconstruction and sparse inversion techniques Good appreciation of sampling theory and views on resolution limitations Experience with signal and noise separation in data processing Experience with geophysical imaging, inverse problems, optimization theory, signal...

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