Imaging Research Scientist

bp•Houston, TX

1d•Hybrid

About The Position

We are looking for an Imaging Research Scientist who is passionate about solving complex subsurface problems for bp’s hydrocarbon business by utilizing scientific machine learning, AI and fundamental principles of Physics, Math and Geophysics. Join us if you are innovative, creative and love problem solving. You will be working with top industry experts in the field of Seismic Imaging, Reservoir Analysis & Reservoir Engineering and Computational Sciences. This role is within Imaging R&D team which is part of Upstream R&D (URD). URD’s mission is to support bp’s Upstream business. We do so by inventing new ideas, building new products, providing technical expertise, and supporting business units by helping them solve their near, mid, and long-term challenges. URD houses a range of skills such as: Geology, Geophysics, Petrophysics & Reservoir Engineering. Imaging R&D team works very closely with engineers and scientists working in the Center of High-Performance Computing (CHPC) and Digital delivery teams. This role is for someone who is knowledgeable about the domain and has good first principals understanding of Geophysics as we build next generation of ML-based imaging solutions. As a scientist within the Imaging R&D team you will be expected to engage with a broad set of disciplines – ML/AI, Geophysics, Petrophysics, Reservoir Engineering, Geology, Statistics & High-Performance Computing. Imaging R&D team is set up to solve cutting edge challenges that involve solving big inverse problems, building modeling and simulation capabilities, developing stochastic algorithms, and estimating uncertainties & communicating complex information to our business units. We are looking for someone who excels at these numerical tasks and can utilize ML/AI methods appropriately. Someone who can process complex information, be creative and has ideas on visualizing and communicating those. 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 in a myriad of subsurface subject areas.

Requirements

Advanced degree (MS or PhD) in Scientific subject areas such as Physics, Mathematics, Computational Sciences, Statistics, Geophysics
Demonstrated experience out of grad school (3 + years)
Practical hands-on experience in developing code – Python, C, C++, CUDA
Experience with inverse problems, optimization theory and Statistics
Experience with ML/AI and data analytics

Responsibilities

Quickly getting up to speed with the existing technology & framework
Finding opportunities that can have groundbreaking business impact
Writing a lot of code & building technical solutions to bring your ideas to life
Staying inquisitive and being creative
Collaborating with scientists from different subject areas