Sr. Artificial Intelligence Lab Scientist - Material Discovery (1844)

Aramco Americas is establishing a state‑of‑the‑art research center in Houston dedicated to advancing CO₂ capture, low‑carbon liquid fuels and chemicals, renewable energy, and energy storage solutions, as well as artificial intelligence applications in the energy sector. The center’s mission is to transform early‑stage, low‑TRL research into mid‑level technologies (TRL 5–7), bridging the gap between fundamental discovery and practical deployment.

Aramco Americas is seeking an experienced scientist specializing in the application of Artificial Intelligence (AI) and Machine Learning (ML) to accelerate next-generation materials discovery for carbon capture and utilization, catalysis for synthetic fuels and chemicals development, and related sustainable energy technologies. The role will apply AI/ML-driven modeling, simulation, and data analytics to understand and predict material structure-property-performance relationships and link these insights to industrially relevant processes. The position will work closely with laboratory researchers and process development teams to translate computational discoveries into experimental validation, scale-up considerations, and practical implementation. The ideal candidate will possess a strong technical foundation in AI/ML-enabled material research, coupled with demonstrated experience managing multidisciplinary research projects and driving innovations from concepts through deployment.

• PhD Degree in an Engineering or Science discipline with a preference towards computational materials analysis and discovery.
• Nine (9) years of relevant industrial experience related to energy materials design
• Preferred candidates will have research experience in theoretical, computational, modeling, and/or simulation of materials science or related fields, including familiarity with molecular dynamics and density functional theory methodologies.
• Preferred candidates will have experience in the application of AI and ML approaches to material development.
• Preferred candidates will be proficient in the Python coding language.
• Must be able to communicate and comprehend accurately, clearly and concisely in English at a level required to perform the job as outlined.
• Candidate should be comfortable in working independently or part of a project team, frequent project presentation and travel to meetings at conferences and universities.  Must possess good work habits, a strong work ethic, and be able to adhere to company work hours, policies, and standard business etiquette.