Ingénieur en Recherche, évaluation numérique des formations et modélisation du sous-sol (H/F)

We are seeking a VIE Computational Research  Scientist to join our world-class team at Schlumberger Doll Research (SDR) in Cambridge, Massachusetts, where breakthrough science meets real-world impact. In this role, you will help shape the future of energy by inventing and advancing next generation of process systems that enable cleaner, more efficient, and more sustainable energy solutions. The VIE will contribute to the development of digital solutions for the design, execution, and interpretation of formation evaluation workflows. This role will support the understanding of subsurface geological formations across a broad range of production and injection applications. The position is hosted within the Geosciences Department at Schlumberger‑Doll Research (SDR), SLB’s corporate research center located next to the MIT campus in Cambridge, Massachusetts. The VIE will collaborate closely with scientists and domain experts specialized in formation evaluation and subsurface process modeling. The VIE will be involved in both scientific development and software implementation, with responsibilities including:  Contributing to the development of digital workflows for formation evaluation, integrating modeling, simulation, and interpretation.  Automating the generation and analysis of ensembles of numerical simulations under uncertainty to assess the impact of geological formation properties on various measurement responses.  Strengthening statistical and uncertainty analysis capabilities, applying physics-based critical thinking to the results obtained.   Implementing research prototype algorithms in shared computational environments for evaluation by internal experts.  Interacting with multidisciplinary teams, including geoscientists, reservoir engineers, and digital technology specialists.  The position combines:  Applied statistics and modeling  Numerical simulation under uncertainty  Scientific software development  Subsurface physics and geosciences  The VIE will be supported by senior researchers and will work closely with experts guiding the scientific and mathematical aspects of the project. Due to the multicultural, international nature of the center only applications in English will be considered.

The ideal profile  Master’s degree or PhD‑level background (or nearing completion) in:  Strength in applied statistical and uncertainty analysis Applied experience with scientific programming environments: Python and/or Matlab Solid foundation in computational physics  Experience with developing ML models should be highlighted Familiarity with Geosciences and/or Reservoir engineering fundamentals and tools is a plus (Petrel, Eclipse, Intersect, …)  Demonstrable scientific curiosity, and eagerness to learn Preferred Skills & Experience  Expertise in applied statistical analysis and uncertainty analysis Hands-on experience with scientific programming environments: Python and/or Matlab Strong background in computational physics Experience in developing machine learning models should be highlighted Knowledge of geosciences and/or reservoir engineering and related tools is a plus (Petrel, Eclipse, Intersect, etc.) Demonstrated scientific curiosity and willingness to learn