Job Role Summary We are looking to hire candidates to work on challenging engineering, geological and commercial problems that focus on exploration, development, production, marketing and transportation of hydrocarbons. A successful candidate would understand a problem in oil and gas space (both commercially/economically and technically), be able to formulate the problem in a solvable way, using application of engineering, numerical, data science and programming skills to tackle a range of problems in the oil and gas industry Job Responsibilities: Work with computational scientists, data scientists, engineers, software developers, and geoscientists across the globe to develop and deliver computational tools, models, algorithms, or software to support our business Leverage existing packages where available, but at times extend or build new capability when necessary Create and maintain infrastructure to automate simulation preparation and execution including processing and analyses of simulation results Design, build, and execute parametric and uncertainty analysis studies using simulation models Tune simulation models to field data and use the tuned model in semi- and fully –automated settings to provide field optimization recommendations Job Requirements: Master's degree from a recognized university in one of the following disciplines: Chemical Engineering, Mechanical Engineering or related disciplines with minimum GPA 7.0 (out of 10.0) and above Professional work experience in developing, applying, and analyzing physics-based models/data driven computational models and simulations. Minimum 2 years applied computational work experience for candidates with a Master's degree. Ability to build computational models Strong knowledge of general numerical analysis and methods for solving differential equations Background in computational work Experience with validation or application of physics-based tools to model complex systems Familiarity with developing optimization algorithms and/or optimization tools in Matlab/Python for applications such as optimization of production facilities Familiarity with Statistical analysis, regression, classification is a plus Familiarity with computational geometry a plus Strong engineering fundamentals Exposure to Oil and gas space Ability to formulate complex problems in a solvable way Software Skills Competent to expert level programming experience Background in C/C++/Python/Matlab Prior knowledge of commercial software development and/or experience in commercial software teams Software testing Software development practices (Agile, etc.) Strong communication skills
