Research Scientist

We are looking for a Research Scientist to join our exceptional team at Schlumberger Doll Research (SDR) in Cambridge, Massachusetts-a place where pioneering science drives real-world innovation.

Schlumberger-Doll Research (SDR) conducts both fundamental and applied research to drive the development of innovative technologies for the Energy industry. Our teams are building the next generation of multi-physics software and hardware systems designed to probe deeper and more accurately understand subsurface resources. This work leverages advanced data-generating models, state-of-the-art AI/ML algorithms, extensive domain expertise, and robust cloud computing infrastructure available within SDR and across SLB globally.

As a Research Scientist, you will collaborate closely with scientists and subject-matter experts to design and implement new computational and algorithmic models for next-generation probing technologies. This includes working with advanced modeling tools and developing physics-informed, data-driven interpretation frameworks.

Ideal candidates will bring a strong foundation in computational electromagnetics along with experience in areas such as machine learning, deep learning, signal processing, or statistical modeling and inference. A passion for tackling data-intensive challenges in complex domain-specific environments is essential. You'll draw insights from large databases and collaborate with experts spanning multiple specialties.

We are looking for individuals who are driven, technically talented, and enthusiastic about scientific and technological innovation. Strong communication skills-both written and verbal-are important for thriving in SDR's multidisciplinary environment.

• PhD in electrical engineering, computational physics, electromagnetics, or a related field with relevant domain specialization.
• Experience in computational modeling and familiarity with finite element analysis software (e.g., COMSOL, NGSolve, Ansys).
• Preferred (optional) skills: knowledge of inversion or optimization algorithms, AI/ML frameworks, and software development.

The compensation and benefits for this role are listed in compliance with applicable law. We are committed to offering fair and competitive pay aligned with each candidate's skills, experience, and qualifications, within the designated salary range for the role. Please note that the listed compensation and benefits apply only to successful candidates hired onto a local United States payroll. The anticipated annual salary range for this position is $105,280 - $213,800. SLB offers a comprehensive total rewards package, which includes variable pay, health care coverage, a retirement plan, protection programs, paid time off, and various training opportunities.