Research Associate - Enabling CO2 Storage Using Artificial Intelligence

Purpose of Role

The successful candidate is expected to develop cutting edge deep learning models for multi-scale flow modelling of CO2 in subsurface reservoirs. Two aspects are of special interests (a) pore-to-core scale upscaling (b) upscaling of reactive flow processes at pore-scale. In addition, the successful candidates will contribute to a wide range of AI applications in subsurface flow modelling including (a) stochastic generation of porous media realizations using deep generative models (b) deep learning based property prediction using various architectures (c) Deep learning based proxy modelling with physics based losses and built-in model constrains (e) Efficient coupling of deep learning models to numerical solvers for hybrid CO2 flow modelling. The developed machine learning techniques will be open-sourced and be validated across a wide range of applications and on experimental data and direct numerical simulations generated by the project team.

Key Duties & Responsibilities

The successful candidate will be expected to undertake the following:

Develop deep learning models for fluid flow in porous media. Disseminate research results in peer reviewed journals and interdisciplinary conferences. Publish open-source code repositories demonstrating all developed techniques and associated computational notebooks, blogs and presentation materials. Participate in regular project meetings with team members and project sponsors.

Essential & Desirable Criteria

Essential

A PhD degree in computational science & engineering, applied mathematics, physics or in a related computational field (or close to successful completion). Prior experience in developing deep learning models using open-source libraries. Prior experience in computational fluid dynamics using open-source software packages. Strong track record of publications in high impact scientific journals. Working experience in modern software development techniques (version control, continuous integration, software testing, etc). Excellent verbal and written communication skills, and ability to write professional reports.