Subsurface Computational Scientist

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

Benefits offered by this job

Health care

Retirement plan

Relocation assistance

Job summary

Schlumberger-Doll Research in Cambridge, MA seeks a Scientific Computing Researcher to join a multidisciplinary team near MIT. The role blends physics-based modeling, inversion, ML, and advanced data analytics to tackle energy challenges with impact across subsurface assets.

The successful candidate will develop and benchmark algorithms, collaborate across geoscience, reservoir engineering, data science, and software development, and publish findings in leading journals.

Qualifications

• Advanced degree in a quantitative field with strong math background.
• Experience applying mathematical methods to physical sciences.
• Proficiency in scientific programming and data analysis.
• Experience with ML and AI methods; exposure to agentic AI is desirable.

Responsibilities

• Collaborate with researchers and engineers to identify technical solutions.
• Develop, test, and benchmark physics-based algorithms.
• Assess accuracy and uncertainty of measurements and inversion results.
• Integrate multiple physics domains and data sources for improved estimations.
• Design prototypes for validation and deployment to engineering teams.
• Publish research findings in leading journals and present at forums.

Skills

Python

C/C++

Machine learning

Uncertainty quantification

Data analysis

Education

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

Job description

Schlumberger-Doll Research in Cambridge, MA seeks a Scientific Computing Researcher to join a multidisciplinary team near MIT. The role blends physics-based modeling, inversion, ML, and advanced data analytics to tackle energy challenges with impact across subsurface assets.

The successful candidate will develop and benchmark algorithms, collaborate across geoscience, reservoir engineering, data science, and software development, and publish findings in leading journals.