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). Experience applying machine learning or AI methods in these fields is an advantage. The ideal candidate should also be comfortable structuring, linking, and analyzing large datasets that include dense
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scientific writing skills supported by peer-reviewed publications. Experience in, or willingness to learn data-driven approaches, including artificial intelligence (AI) and machine learning (ML) models, to
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applications and methodologies, such as working knowledge of generative AI tools, use of large language models, machine learning, and ethical frameworks for AI implementation. Ability to apply AI to
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applications and methodologies, such as working knowledge of generative AI tools, use of large language models, machine learning, and ethical frameworks for AI implementation. Ability to apply AI to
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applications and methodologies, such as working knowledge of generative AI tools, use of large language models, machine learning, and ethical frameworks for AI implementation. Ability to apply AI to
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applications and methodologies, such as working knowledge of generative AI tools, use of large language models, machine learning, and ethical frameworks for AI implementation. Ability to apply AI to
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applications and methodologies, such as working knowledge of generative AI tools, use of large language models, machine learning, and ethical frameworks for AI implementation. Ability to apply AI to
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applications and methodologies, such as working knowledge of generative AI tools, use of large language models, machine learning, and ethical frameworks for AI implementation. Ability to apply AI to
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+ years of relevant industry or academic experience in well engineering R&D. Experience with artificial intelligence (AI) and machine learning (ML) applications in drilling optimization. Experience with