ML-Driven Subsurface Imaging Scientist (Hybrid)

Oil Authority; Houston (TX); Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Hybrid work environment

Relocation assistance

Travel opportunities

Job summary

bp is seeking an Imaging Research Scientist to tackle complex subsurface problems using scientific machine learning, AI, and fundamental physics. You will join the Imaging R&D team, working with experts in Seismic Imaging, Reservoir Analysis, and Computational Sciences to develop next-generation ML-based imaging solutions.

The role emphasizes solving large inverse problems, building modeling capabilities, and communicating uncertainties to bp's business units.

Qualifications

• Advanced degree (MS or PhD) in Physics, Mathematics, Computational Sciences, Statistics or Geophysics.
• 3+ years of experience after grad school.
• Hands-on coding experience in Python, C, C++, CUDA.

Responsibilities

• Get up to speed quickly with the existing technology and framework.
• Identify opportunities with groundbreaking business impact.
• Write code and build technical solutions to realize ideas.
• Stay inquisitive and creative.
• Collaborate with scientists from different subject areas.

Skills

Python

C/C++

CUDA

ML/AI

Data analytics

Geophysics

Statistical Physics

Education

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

Tools

High-Performance Computing

Python

C

C++

Job description

bp is seeking an Imaging Research Scientist to tackle complex subsurface problems using scientific machine learning, AI, and fundamental physics. You will join the Imaging R&D team, working with experts in Seismic Imaging, Reservoir Analysis, and Computational Sciences to develop next-generation ML-based imaging solutions.

The role emphasizes solving large inverse problems, building modeling capabilities, and communicating uncertainties to bp's business units.