Research Scientist

We are looking for a Research Scientist to join our exceptional team at Schlumberger Doll Research (SDR) in Cambridge, Massachusetts\u2014a place where pioneering science drives real\u2011world innovation.\n\nSchlumberger-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\u2011physics software and hardware systems designed to probe deeper and more accurately understand subsurface resources. This work leverages advanced data\u2011generating models, state\u2011of\u2011the\u2011art AI/ML algorithms, extensive domain expertise, and robust cloud computing infrastructure available within SDR and across SLB globally.\n\nAs a Research Scientist, you will collaborate closely with scientists and subject\u2011matter experts to design and implement new computational and algorithmic models for next\u2011generation probing technologies. This includes working with advanced modeling tools and developing physics\u2011informed, data\u2011driven interpretation frameworks.\n\nIdeal 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\u2011intensive challenges in complex domain\u2011specific environments is essential. You\u2019ll draw insights from large databases and collaborate with experts spanning multiple specialties.\n\nWe are looking for individuals who are driven, technically talented, and enthusiastic about scientific and technological innovation. Strong communication skills\u2014both written and verbal\u2014are important for thriving in SDR\u2019s multidisciplinary environment.\n\n * PhD in electrical engineering, computational physics, electromagnetics, or a related field with relevant domain specialization.\n * Experience in computational modeling and familiarity with finite element analysis software (e.g., COMSOL, NGSolve, Ansys).\n * Preferred (optional) skills: knowledge of inversion or optimization algorithms, AI/ML frameworks, and software development.\n\n\n\nThe 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\u2019s 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.\n