Scientific Computing Researcher

Digital Technology & Research, Engineering & Design, Manufacturing Schlumberger-Doll Research (SDR), SLB's global research and innovation center, is seeking a Scientific Computing Researcher to join a multidisciplinary team of scientists in Cambridge, Massachusetts, adjacent to the MIT campus. This is an exciting opportunity to contribute to breakthrough research with direct impact on some of the world's most pressing energy challenges. Working at the intersection of science, engineering, and advanced computing, you will help develop next-generation solutions that enable cleaner, more efficient, and more sustainable energy systems. The position is part of the Geosciences Department and focuses on advancing our capabilities in developing innovative computational solutions that enhance our understanding of geological systems, maximize the value of physical measurements, and improve operational efficiency in the characterization and management of subsurface assets. Key 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. The successful candidate will collaborate closely with scientists, engineers, and domain experts to develop solutions combining physics-based modeling, inversion techniques, machine learning, and advanced data analytics to address critical industry challenges. As research priorities and technologies evolve, the scope of the role will expand to support emerging projects and strategic initiatives across SLB's energy portfolio. Desired Skills and 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. Demonstrated experience applying mathematical or computational methods to solve problems in one or more physical science domains. Proficiency in scientific programming using languages such as Python, C, or C++, along with associated scientific computing libraries. Experience with machine learning and artificial intelligence methods; exposure to agentic AI frameworks and applications is highly desirable. Strong analytical thinking and problem-solving capabilities. Ability to work effectively in a multicultural and multidisciplinary research environment. Excellent written and verbal communication skills. Preferred Qualifications Experience developing physics-informed or hybrid physics-AI solutions. Familiarity with inverse problems, optimization methods, and uncertainty quantification techniques. Experience working with geoscience, energy, or subsurface-related applications. Track record of scientific publications, technical presentations, or applied research contributions. 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, retirement plan, protection programs, paid time off, and various training opportunities. ALL APPLICANTS FOR U.S. ROLES MUST CAREFULLY READ ALL THE SUPPLEMENTAL U.S. SPECIFIC INFORMATION LISTED BELOW. SLB is committed to a culture where everyone feels like they belong. To learn more about our diversity, equity, and inclusion commitments, please visit our Diversity & Inclusion | SLB (slb.com) page for more information. 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An employer who violates this law is guilty of a misdemeanor and subject to a fine not exceeding $100. NEBRASKA APPLICANTS ONLY: By certifying the application you, hereby give consent to any and all prior employers of yours to provide information with regard to your employment with prior employers to SLB. Global adventure, broad exposure, and limitless learning await you. You'll be part of the most multi-cultural and diverse team of experts in any industry, anywhere. Insurance Health, vision, and dental insurance for you and your dependents available from day one. Learning Opportunities Global adventure, broad exposure, and limitless learning await you. You'll be part of the most multi-cultural and diverse team of experts in any industry, anywhere. Diverse and Inclusive Our exceptional and diverse people are the pulse and spirit of who we are. Every day, you will enrich your knowledge in an environment where differences in thought, creativity and experiences are embraced. About Us We are a global technology company, driving energy innovation for a balanced planet. Together, we create amazing technology that unlocks access to energy for the benefit of all. Global in outlook, local in practice – and with a united, shared passion for discovering solutions, we hire talented, driven people and support them to succeed, personally and professionally. SLB is an equal employment opportunity employer. Qualified applicants are considered without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or other characteristics protected by law. We will endeavor to make a reasonable accommodation / modification to the known physical or mental limitations of a qualified applicant with a disability to assist in the hiring process, unless the accommodation would impose an undue hardship on the operation of our business, in accordance with applicable federal, state, and local law. If you believe you need such assistance to complete this form or to participate in the interview process, please contact View email address on click.appcast.io to request assistance. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to. SLB is a VEVRAA Federal Contractor- priority referral Protected Veterans requested. Similar Job Openings Research Scientist, Energy Innovation United States, Cambridge -Us Digital Technology & Research, Engineering & Design, Manufacturing Modeling & Simulation Research Scientist United States, Cambridge -Us Digital Technology & Research, Engineering & Design, Manufacturing Register for free to access technical papers and technology news tailored to your interests. #J-18808-Ljbffr Schlumberger Limited