Senior Specialist - Corrosion SME
AIQ is an Abu Dhabi-based technology company that develops and deploys industrial artificial intelligence (AI) technologies at scale, focused on the energy sector. As a venture between Presight (G42) and ADNOC, AIQ has productized 15 AI-enabled solutions that support clients to perform better, protect teams and equipment, keep operations sustainable, and rapidly scale successes. The organization embraces an innovative and entrepreneurial spirit, looking to push boundaries and solve transformational challenges across industry. It welcomes professionals that share the desire to make meaningful and impactful contributions to the mission to deliver responsible AI to the heart of industrial processes. Always on the forefront of technology, AIQ provides its talent with an environment to thrive and excel. Working at AIQ includes participating in some of the most significant industrial transformation projects, interacting with massive data pools, utilizing sophisticated AI infrastructure that is powered by a NVIDIA GPU cloud computing platform, and access to abundant computing, storage, and network resources made available from across the G42 ecosystem.
Overview:
About the role
AIQ is looking for a Senior Specialist - Corrosion SME with deep expertise in corrosion science to support the development of advanced software for mechanistic prediction of internal corrosion in oil and gas systems. The role focuses on translating first-principles corrosion science into robust mathematical models and production-grade simulation code, integrating electrochemical kinetics, aqueous speciation, reactive transport, multiphase flow, and corrosion scale formation to predict behavior in CO₂, H₂S, and mixed sour/sweet environments. The position is ideally suited to a PhD-level expert with a strong background in mechanistic or mathematical modelling- particularly from the Ohio University corrosion / multiphase / ICMT ecosystem or other leading corrosion research programs.
Responsibilities:
- Extend and improve mechanistic corrosion models for carbon steel in CO2, H2S, and mixed systems
- Develop and refine electrochemical submodels based on mixed potential theory, anodic/cathodic reactions, Butler-Volmer/Tafel kinetics, and mass-transfer-limited processes
- Improve treatment of aqueous chemistry, speciation, buffering, and thermodynamic closure
- Advance models for FeCO3 and FeS scale formation, dissolution, protectiveness, and near-wall transport
- Contribute to transient and spatially resolved corrosion simulations, including wellbore and multiphase flow applications
- Calibrate and validate model predictions against published data and high-quality experimental datasets
- Work closely with software developers to implement scientific models cleanly in Python and maintain a defensible model architecture
- Help define the scientific roadmap, modelling priorities, and validation strategy for the platform
Qualifications:
- PhD or MSc in Corrosion Engineering, Chemical Engineering, Electrochemistry, Materials, or a related field
- Strong understanding of mechanistic internal corrosion in oil and gas systems
- Deep knowledge of electrochemical corrosion processes, especially CO2 and H2S corrosion of carbon steel
- Strong background in mathematical modelling, numerical methods, and physical chemistry
- Experience with one or more of the following:
- mixed potential theory
- electrochemical kinetics
- reactive transport / diffusion-reaction systems
- aqueous speciation / thermodynamics
- corrosion-product scale modelling
- multiphase flow / mass transfer in pipelines or wellbores
- Ability to read literature critically and convert published mechanisms into usable model formulations
- Programming experience in Python, MATLAB, or similar scientific computing environments