Company: Saudi Aramco (ASC)
Skills: Modeling
Experience: 5 + Years
Education: PhD/Doctorate
Location: Saudi Arabia


Aramco energizes the world economy.

Aramco occupies a unique position in the global energy industry. We are the world's largest producer of hydrocarbons (oil and gas), with the lowest upstream carbon intensity of any major producer.

With our significant investment in technology and infrastructure, we strive to maximize the value of the energy we produce for the world along with a commitment to enhance Aramco's value to society.

Headquartered in the Kingdom of Saudi Arabia, and with offices around the world, we combine market discipline with a generations' spanning view of the future, born of our nine decades experience as responsible stewards of the Kingdom's vast hydrocarbon resources. This responsibility has driven us to deliver significant societal and economic benefits to not just the Kingdom, but also to a vast number of communities, economies, and countries that rely on the vital and reliable energy that we supply.

We are one of the most profitable companies in the world, as well as amongst the top five global companies by market capitalization.

Overview

We are seeking a Materials Modeling & Data Science specialist to join the Catalyst Center of Excellence (CCoE) at Aramco's Research & Development Center (R&DC). The CCoE is responsible for designing innovative catalysts to convert oil and natural gas into higher value fuels and chemicals, in addition to sustainability catalysts which enable CO2 utilization, low-carbon fuels production, and a hydrogen economy.

The candidate will lead multiple projects and tasks associated with Materials Modeling & Data Science as part of a team which will accelerate the discovery of catalytic materials to resolve significant challenges in the hydrocarbon industry, and will complement existing experimental work through theoretical framework.

Key Responsibilities

  • Strong record of publications in recognized peer-reviewed journals and presented research outcomes in international events. Outstanding communication skills in English is also a requirement.
  • Experience with process simulations and techno-economic evaluations is preferred. Granted patents based on novel research results is also preferred.
  • Develop computational models to simulate catalytic reactions, model a variety of catalytic systems (e.g. metals, metal oxides, and zeolites), develop fundamental understanding for these complex reaction systems, and propose new catalysts to overcome the limitations of existing catalysts.
  • Use state-of-the-art machine learning techniques to develop surrogate models to propose new catalysts based on previous experimental results with the goals of accelerating the timeline for materials discovery and optimizing the outcome of the catalytic process (e.g. yield, conversion, and process conditions).
  • Remain updated with the current and fast evolving field, be able to publish technical findings in international peer reviewed journals and spread awareness of the latest tools and techniques in the organization.
  • Oversee and provide technical leadership to a team of junior scientists and engineers, and be responsible for the training and development of junior mentees.
  • Organize and lead teams for specific projects and tasks, and manage discussions with internal and external project teams.


Minimum Requirements

  • PhD in Chemical Engineering, Chemistry, Physics, Materials Science or a related field from a recognized institution. Strong background in catalysis, DFT and data science.
  • A robust theoretical background in computational catalysis using density functional theory (DFT), microkinetic modeling, data science, and strong software development skills. Exposure to process engineering is preferred.
  • Ability to present theoretical interpretation to experimental observations, using theoretical background to predict new and improved catalysts, and use data science to generate surrogate models to propose new catalysts based on limited experimental data.
  • At least five years relevant experience.


Certificates

Data not available

Working environment

Our high-performing employees are drawn by the challenging and rewarding professional, technical and industrial opportunities we offer, and are remunerated accordingly.

At Aramco, our people work on truly world-scale projects, supported by investment in capital and technology that is second to none. And because, as a global energy company, we are faced with addressing some of the world's biggest technical, logistical and environmental challenges, we invest heavily in talent development.

We have a proud history of educating and training our workforce over many decades. Employees at all levels are encouraged to improve their sector-specific knowledge and competencies through our workforce development programs - one of the largest in the world.