Computational Scientist

ExxonMobil India Careers; Bengaluru; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

ExxonMobil India Careers is seeking researchers to advance computational science, frame business-driven challenges, and deliver physics- and data-informed models. You will collaborate with global teams to accelerate technology deployment and interpret results for decision making.

The role emphasizes strong coding skills (C++/C#/Python), multiscale/multiphysics modeling, and experience with ML-assisted simulations in an upstream energy context.

Qualifications

• Master’s or PhD in Engineering/Applied Mathematics/Geoscience/Computational Science with GPA 7.0+ (out of 10).
• For Master’s degree holders, minimum 3 years of relevant work experience.
• Experience in developing, applying, and analyzing physics-based models and related algorithms.
• Strong background in multiscale and/or multiphysics modeling, scientific computing, and numerical analysis.
• Hands-on experience with physics-based simulators and computational modeling.
• Exposure to hybrid modeling approaches combining data-driven and physics-based methods using ML tools.

Responsibilities

• Collaborate across global, cross-disciplinary teams and third parties to assess and accelerate computational science technology development.
• Frame computational challenges from business needs and develop solutions balancing accuracy and runtimes, integrating physics and data with uncertainty.

Skills

Physics-based modeling

Multiscale modeling

Numerical analysis

High performance computing

Strong communication

Programming: C++/C#/Python

Education

Master’s or PhD in Engineering/Applied Mathematics/Geoscience/Computational Science

GPA 7.0/10.0 or above

Tools

TensorFlow

PyTorch

Scikit-learn

Git

Job description

Job Description:

About Us

At ExxonMobil, our vision is to lead in energy innovations that advance modern living and a net-zero future. As one of the world’s largest publicly traded energy and chemical companies, we are powered by a unique and diverse workforce fueled by the pride in what we do and what we stand for.

The success of our Upstream, Product Solutions and Low Carbon Solutions businesses is the result of the talent, curiosity and drive of our people. They bring solutions every day to optimize our strategy in energy, chemicals, lubricants and lower-emissions technologies.

We invite you to bring your ideas to ExxonMobil to help create sustainable solutions that improve quality of life and meet society’s evolving needs. Learn more about our What and our Why and how we can work together.

What You Will Do

• Work collaboratively across global, cross-disciplinary teams, and with third parties (academia, industry) to assess, accelerate pace of computational science technology development and deployment.
• Frame computational challenge from business needs, develop solutions that strike a balance between accuracy and runtimes, develop solutions that merge physics and data incorporating uncertainty, develop novel approaches to constrain predictive models with field data.

Skills And Qualifications

• Master’s or PhD degree from a recognized university in Engineering/Applied Mathematics/Geoscience/Computational Science with a GPA 7.0 and above (out of 10.0).
• For candidates with only master’s degree, minimum 3 years of relevant work experience is required.
• Experience in developing, applying, and analyzing physics-based models and developing related algorithms.
• Strong background in multiscale and/or multiphysics mathematical modeling, scientific computing, and numerical analysis.
• Hands-on experience with physics-based simulators and computational modeling.
• Familiarity with surrogate modeling for optimal design and inverse problem-solving is preferred but not mandatory.
• Exposure to hybrid modeling approaches combining data-driven and physics-based methods using machine learning tools (e.g., TensorFlow, PyTorch, Scikit-learn)
• Knowledge of deep learning techniques for advanced data analysis and modeling challenges is preferred but not mandatory.
• Strong proficiency in programming/scripting languages like C++/C# or Python.
• Experience with software engineering best practices including software testing, agile development, version control, and DevOps.
• Prior experience in the upstream oil and gas industry is an advantage.
• Strong communication skills and ability to work effectively in interdisciplinary teams to translate complex computational models into actionable insights.

Functional Skills

• Continuous Mathematical Optimization
• Multi scale or Multi physics modeling
• High Performance Scientific Computing
• Multi-fidelity AI Surrogates
• Mathematical Framing of Business Problems
• Stay Connected With Us

Stay Connected With Us

• Learn more about ExxonMobil in India, visit ExxonMobil India and Energy Factor India.
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EEO Statement

ExxonMobil is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin or disability status.

Nothing herein is intended to override the corporate separateness of local entities. Working relationships discussed herein do not necessarily represent a reporting connection, but may reflect a functional guidance, stewardship, or service relationship.

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Requirements: