Lead Imaging Scientist — ML-Driven Subsurface Imaging

BP PLC

Houston (TX)

Hybrid

USD 160,000 - 230,000

Full time

8 days ago

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Benefits offered by this job

Hybrid work model
Relocation negotiable
Travel opportunities (up to 10%)

Job summary

BP PLC is seeking an Imaging Research Scientist (Lead) to advance seismic imaging using ML/AI, physics, and geophysics. You will lead squads, develop code in Python/C/CUDA, and solve large inverse problems within the Imaging R&D team at bp Upstream R&D in Houston.

The role requires a MS/PhD in a scientific field, 7+ years post-grad, and strong background in ML/AI, optimization, and data analytics. Hybrid work and travel may be involved as bp advances subsurface research.

Qualifications

  • Advanced degree (MS or PhD) in scientific fields such as Physics, Mathematics, Computational Sciences, Statistics or Geophysics.
  • 7+ years of demonstrated experience after graduate school.
  • Hands-on code development in Python, C, C++, CUDA.
  • Experience with inverse problems, optimization theory and statistics.
  • Experience with ML/AI and data analytics.

Responsibilities

  • Lead squads and projects as needed.
  • Write substantial code and build technical solutions to realize ideas.
  • Rapidly learn existing technology and frameworks.
  • Collaborate with scientists from multiple disciplines.
  • Be creative, inquisitive, and communicate complex results effectively.

Skills

Python
C++
CUDA
ML/AI
Data analytics
Inverse problems
Optimization theory

Education

MS/PhD in Physics/Mathematics/Computational Sciences/Statistics/Geophysics

Tools

Git
Linux
Jupyter
CUDA Toolkit

Job description

BP PLC is seeking an Imaging Research Scientist (Lead) to advance seismic imaging using ML/AI, physics, and geophysics. You will lead squads, develop code in Python/C/CUDA, and solve large inverse problems within the Imaging R&D team at bp Upstream R&D in Houston.

The role requires a MS/PhD in a scientific field, 7+ years post-grad, and strong background in ML/AI, optimization, and data analytics. Hybrid work and travel may be involved as bp advances subsurface research.

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