This newly created position will have overall responsibility in identifying new digitization opportunities and developing machine learning algorithms to screen and/or synthetize new materials (i.e., CO2 capture and conversion materials) and optimize equipment and processes.
This role is focused on developing AI algorithms to screen TRL 1 classes of Metal Organic Frameworks (MOF), Covalent Organic Frameworks (COF) and catalysts, which will then be developed and scaled up to industrial materials.
• Ph.D. degree in chemical or mechanical engineering, chemistry, computer science, artificial intelligence, or robotics.
• More than seven years of work experience, preferably relevant to the areas of data science and statistics, machine learning, and programming.
• Conversant in programming, data analysis, and machine learning applications.
• Demonstrated experience or ability to identify gaps, challenges, and business opportunities relevant to digitalization and artificial intelligence in carbon management domains.
Duties & Responsibilities:
• Design and develop machine learning systems as an integral part of new technology development.
• Work with material scientists and chemists to develop next-generation CO2 capture substrates (sorbents and solvents) and CO2 conversion catalysts (thermo-, electro- and photo chemical)
• Work with material chemical, process and mechanical engineers to develop next-generation CO2 capture processes (sorbents and solvents) and CO2 conversion processes (thermo-, electro- and photochemical)
• Take responsibility for project planning, execution, implementation and data analysis phases.
• Work with scientists and engineering to ensure transfer/translation of simulation results in the tangible synthesis of materials and demonstration of processes.
• Liaise with scientists, technicians, and various stakeholders to ensure seamless integration with ongoing and future activities.
• Train junior Saudi engineers, while keeping abreast of engineering and scientific developments in digitalization and machine learning in the oil and gas industry in general, and carbon management in particular.
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