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    Research Associate - Edinburgh, United Kingdom - Heriot-Watt University Malaysia

    Heriot-Watt University Malaysia
    Heriot-Watt University Malaysia Edinburgh, United Kingdom

    1 week ago

    Default job background
    Part time
    Description

    Contract:
    Full-time (35 hours per week), Fixed Term for 14 months

    The Lyell Centre at Heriot-Watt university (HWU), Edinburgh, Scotland has an opening for one PDRA position to work on the project ECO-AI (Enabling CO2 storage using Artificial Intelligence techniques).

    Further details about ECO-AI are available at the project webpage

    The successful candidate is expected to develop cutting edge deep learning models for storage site characterization to determine optimal CO2 injection and leakage risk assessment.

    a) Development of a framework for fast capacity estimation using AI-solver including geological uncertainties across scales, and (b) development of optimal CO2 injection and monitoring strategies using model-based reinforced learning algorithms.

    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) Effective optimization techniques for physics constrained implicit neural models (f) 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.

    The successful candidates will be part of a large multidisciplinary research project on maximising CO2 storage in deep geological formations.

    The candidates will benefit from interactions with the project team across Heriot-Watt university and Imperial College London
    Institute of Mechanical, Process and Energy Engineering (IMPEE) at Heriot-Watt University
    School of Mathematical and Computer Sciences (MACS) at Heriot-Watt University
    Department of Earth Science and Engineering (ESE) at Imperial College London
    Department of Chemical Engineering at Imperial College London
    Develop clear scenarios relevant for CO2 storage capacity and leakage risk assessment where AI can support uncertainty prediction and re-risking

    Develop deep learning models for storage capacity estimation and/or leakage risk assessment from the metre to the reservoir scale.

    Disseminate research results in peer reviewed journals and interdisciplinary conferences.
    Organize and lead Hackathons as a part of ECO-AI project activities.
    Participate in regular project meetings with team members and project sponsors.

    A PhD degree in subsurface geosciences or engineering, with a strong focus on computational science & engineering, applied mathematics, physics or in a related computational field.

    ~ Prior experience in computational fluid dynamics or pore-network models using open-source software packages (e.g., Strong track record of publications in high impact scientific journals.
    ~ Working experience in modern software development techniques (version control, continuous integration, software testing, etc).
    ~ Experience in upscaling laboratory/field data relevant for storage capacity or leakage risk assessment to the reservoir scale.
    Work experience with HPC, multi-GPUs systems and/or TB scale datasets
    Applications can be submitted until midnight on the 31st of January 2024.
    , project lead ECO-AI) or Professor Florian Doster ( f.

    At Heriot Watt we are passionate about our values and look to them to connect our people globally and to help us collaborate and celebrate our success through working together.

    Our research programmes can deliver real world impact which is achieved through the diversity of our international community and the recognition of creative talent that connects our global team.

    Our flourishing community will give you the freedom to challenge and to bring your enterprising mind and to help our partners with solutions that can be applied now and in the future.

    Join us and Heriot Watt will provide you with a platform to thrive and work in a way that also helps you live your life in balance with well-being and inclusiveness at the heart of our global community.

    Equality and diversity are all about maximising potential and creating a culture of inclusion for all.

    Heriot-Watt University values diversity across our University community and welcomes applications from all sectors of society, particularly from underrepresented groups.

    For more information, please see our website and also our award-winning work in Disability Inclusive Science Careers .
    We welcome and will consider flexible working patterns e.g. part-time working and job share options.
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