Geoscience Computation Scientist

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

Job summary

Schlumberger-Doll Research (SDR) seeks a Scientific Computing Researcher in Cambridge, MA to advance computational methods for subsurface characterization and energy tech. You will work with physics-based modeling, inversion techniques, and ML to tackle challenging geoscience problems near MIT.

Collaborative, multi-disciplinary environment and opportunity to publish and translate research. The role emphasizes developing innovative computational solutions, with potential to transfer breakthroughs

Qualifications

• Master's degree or PhD in Applied Mathematics, Computational Science, Physics, Engineering, or a related quantitative discipline.
• Strong foundation in applied mathematics, uncertainty quantification, statistical inference, signal processing, and data analysis.
• Proficiency in mathematical/computational methods to solve problems in physical science domains.
• Experience with Python, C, or C++, and scientific computing libraries.
• Experience with machine learning/AI methods; exposure to agentic AI frameworks is desirable.

Responsibilities

• Partner with researchers, engineers, and domain experts 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

Signal processing

Education

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

Job description

Schlumberger-Doll Research (SDR) seeks a Scientific Computing Researcher in Cambridge, MA to advance computational methods for subsurface characterization and energy tech. You will work with physics-based modeling, inversion techniques, and ML to tackle challenging geoscience problems near MIT.

Collaborative, multi-disciplinary environment and opportunity to publish and translate research. The role emphasizes developing innovative computational solutions, with potential to transfer breakthroughs