Graduate Researcher (Summer 2027) – Applied Artificial Intelligence for Petroleum Engineering
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Job overview
The Houston Research Center’s AIT Team seeks a Postdoctoral Researcher to develop and deploy AI solutions for petroleum industry challenges. The role combines machine learning, physics-based modeling, and petroleum engineering to address upstream problems. The researcher will build production-ready tools for Saudi Aramco operations and work with researchers, domain experts, and software engineers to move prototypes into enterprise applications.
Skills & qualifications
Skills
Qualifications
Full job description
Position Summary
The Houston Research Center's AIT Team is seeking a Postdoctoral Researcher to develop and deploy next-generation AI solutions for complex petroleum industry challenges. You will conduct applied research combining machine learning, physics-based modeling, and petroleum engineering, working with world-class researchers and domain experts on real-world upstream problems to create measurable business value for Saudi Aramco.
Key Responsibilities
AI Research and Development
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Develop machine learning, deep learning, and generative AI solutions for upstream oil and gas applications.
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Investigate emerging methods such as LLMs, agentic AI, Physics-Informed Neural Networks, Fourier Neural Operators, Graph Neural Networks, foundation models, and reinforcement and Bayesian learning.
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Design algorithms that integrate domain physics with data-driven methods.
Petroleum Engineering Applications
Apply AI to reservoir characterization and modeling, production forecasting and optimization, drilling and geosteering, virtual flow metering, shale development, enhanced oil recovery and carbon management, and predictive maintenance.
Digital Transformation and Deployment
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Build production-ready AI tools and workflows for Saudi Aramco operations, working with software engineers to move prototypes into enterprise applications.
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Use cloud, HPC, and GPU environments, and support AI integration into digital twin and decision-support systems.
Required Qualifications
Education
- Ph.D. in Petroleum Engineering, Computer Science, Data Science, AI, Mechanical Engineering, Applied Mathematics, Geoscience, or a related field.
Technical Requirements
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Strong knowledge of machine learning and statistical modeling.
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Strong Python and scientific computing skills, including ML frameworks such as PyTorch, TensorFlow, Scikit-Learn, and XGBoost.
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Experience handling large-scale scientific or engineering datasets.
Research Experience
Experience in one or more of: petroleum engineering applications, physics-informed or scientific machine learning, reservoir simulation, geostatistics, computer vision, time-series forecasting, optimization and uncertainty quantification, and generative AI and foundation models.
Preferred Qualifications
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Experience developing AI solutions for oil and gas, with publications in AI, machine learning, petroleum engineering, or computational science.
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Knowledge of reservoir simulation software and workflows.
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Experience with HPC, GPU acceleration, and cloud computing; familiarity with MLOps and enterprise-scale AI deployment.
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Experience with digital twins, autonomous workflows, and intelligent agents.
Why Join Us
At Aramco Americas HRC, you will tackle some of the world's most challenging energy problems using unique datasets, state-of-the-art computing, and direct access to field applications.
Opportunity eligible for internship course credit (credits earned), please check with your Academic Advisor or University.
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How this job compares
Set against the 4,229 open Researcher jobs on Olive Jobs, counted November 12, 2026.
- Pay
- This postingNot listed
- Texas median$77–92K/yr86 salary ranges
- US median$25–35/hr337 hourly ranges
- Openings
- Olive Jobs lists 469 open Researcher jobs in Texas and 4,229 across the US. 2% of them nationwide are listed as remote or flexible.
- Hiring the most in Texas
- MD Anderson Cancer Center91 open
- Texas A&M University - Faculty53 open
- UT Health San Antonio34 open
- Experience
- Researcher postings that state a minimum ask for 4 years of experience at the median; the middle half ask for 2 to 5 years (1,298 postings).
- Education
- This posting asks for a doctorate or professional degree; 1,950 of the 4,229 open Researcher jobs (46%) ask for a doctorate or professional degree.
Counted across the open, public US postings on Olive Jobs on November 12, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.
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