Geoscience Computational Scientist

SLB; Cambridge (MA); On-site; USD 105,000 - 214,000; Full time

Job summary

Schlumberger-Doll Research (SDR), SLB's global research and innovation center in Cambridge, MA, seeks a Scientific Computing Researcher to join a multidisciplinary team of scientists. This role focuses on developing next-generation computational solutions for subsurface characterization and energy challenges.

You will collaborate with geoscience, reservoir engineering, data science, and software development teams to advance physics-informed methods and AI.

Qualifications

• Master's degree or PhD in Applied Mathematics, Computational Science, Physics, Engineering, or related quantitative discipline.
• Strong foundation in applied mathematics, uncertainty quantification, statistical inference, signal processing, and data analysis.
• Proficiency in scientific programming using Python/C/C++, with associated scientific computing libraries.
• Experience applying mathematical or computational methods to physical science problems.

Responsibilities

• Partner with researchers to identify and develop technical solutions for real-world challenges.
• Develop, test, and benchmark algorithms grounded in physical principles to interpret measurements and infer subsurface properties.
• Assess the quality, reliability, and uncertainty of measurements and inversion-derived results.
• Identify opportunities to improve estimation accuracy through the integration of multiple physics domains and data sources.
• Design and develop prototype solutions for validation, deployment, and transfer to engineering teams.
• Collaborate with multidisciplinary teams across geoscience, reservoir engineering, formation evaluation, data science, and software development.
• Investigate and develop agentic AI solutions to assist data acquisition engineers in the planning and execution of field operations.
• Publish research findings in leading scientific journals and present results at internal and external technical forums.
• Support the transition of research innovations into practical applications and operational deployment.

Skills

Python

C/C++

Machine learning

Uncertainty quantification

Data analysis

Scientific computing

Education

Master's degree or PhD in Applied Mathematics, Computational Science, Physics, Engineering, or related quantitative discipline

Tools

NumPy/SciPy

SciPy stack

Job description

Schlumberger-Doll Research (SDR), SLB's global research and innovation center in Cambridge, MA, seeks a Scientific Computing Researcher to join a multidisciplinary team of scientists. This role focuses on developing next-generation computational solutions for subsurface characterization and energy challenges.

You will collaborate with geoscience, reservoir engineering, data science, and software development teams to advance physics-informed methods and AI.