Research Associate - Enabling CO2 Storage Using Artificial Intelligence
Research Associate - Enabling CO2 Storage Using Artificial Intelligence

Research Associate - Enabling CO2 Storage Using Artificial Intelligence

Full-Time 37174 - 46735 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Develop AI models for CO2 storage and fluid flow in porous media.
  • Company: Heriot-Watt University is a leading institution focused on impactful research and innovation.
  • Benefits: Enjoy 33 days of annual leave, flexible working options, and a supportive community.
  • Why this job: Join a cutting-edge project with real-world impact and opportunities for professional growth.
  • Qualifications: PhD in a relevant field and experience in deep learning and computational fluid dynamics required.
  • Other info: Open to diverse applicants and promotes an inclusive work environment.

The predicted salary is between 37174 - 46735 £ per year.

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Research Associate – Enabling CO2 Storage Using Artificial Intelligence, Midlothian

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Client:

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Job Category:

Other

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EU work permit required:

Yes

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Job Reference:

85f2e2f44da7

Job Views:

19

Posted:

25.08.2025

Expiry Date:

09.10.2025

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Job Description:

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

  • A PhD degree in computational science & engineering, applied mathematics, physics or in a related computational field (or close to successful completion).
  • 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.

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Research Associate - Enabling CO2 Storage Using Artificial Intelligence employer: Heriot-Watt University

Heriot-Watt University is an exceptional employer, offering a vibrant work culture that fosters innovation and collaboration in the field of artificial intelligence and geoscience. With a commitment to employee growth, the university provides ample opportunities for professional development, alongside generous benefits such as 33 days of annual leave and flexible working patterns. Located in Edinburgh, a city renowned for its rich history and academic excellence, employees can enjoy a balanced lifestyle while contributing to impactful research in CO2 storage solutions.
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Contact Detail:

Heriot-Watt University Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Research Associate - Enabling CO2 Storage Using Artificial Intelligence

✨Tip Number 1

Familiarise yourself with the latest advancements in deep learning and computational fluid dynamics. This will not only help you understand the role better but also allow you to engage in meaningful conversations during interviews.

✨Tip Number 2

Network with professionals in the field of AI and CO2 storage. Attend relevant conferences or webinars, and connect with researchers on platforms like LinkedIn to gain insights and potentially get referrals.

✨Tip Number 3

Showcase your experience with open-source libraries and software development techniques. Be prepared to discuss specific projects where you've applied these skills, as they are crucial for this role.

✨Tip Number 4

Prepare to discuss your publication history and how it relates to the job. Highlight any high-impact journals you've contributed to, as this demonstrates your capability and commitment to research excellence.

We think you need these skills to ace Research Associate - Enabling CO2 Storage Using Artificial Intelligence

Deep Learning
Computational Fluid Dynamics
Open-Source Libraries
Machine Learning Techniques
Data Analysis
Version Control
Continuous Integration
Software Testing
Scientific Writing
Communication Skills
Research Publication
Interdisciplinary Collaboration
Python Programming
Numerical Modelling

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your PhD in computational science or related fields, along with any relevant experience in developing deep learning models and computational fluid dynamics. Use keywords from the job description to align your skills with the role.

Craft a Compelling Cover Letter: In your cover letter, express your passion for AI applications in subsurface flow modelling. Discuss specific projects or experiences that demonstrate your expertise in deep learning and your ability to publish research results in high-impact journals.

Showcase Your Publications: If you have a strong track record of publications, mention them in your application. Include links or references to your work in high-impact scientific journals, as this will strengthen your candidacy and show your commitment to research.

Highlight Communication Skills: Since excellent verbal and written communication skills are essential for this role, provide examples of how you've effectively communicated complex ideas in previous projects, whether through reports, presentations, or collaborative meetings.

How to prepare for a job interview at Heriot-Watt University

✨Showcase Your Technical Skills

Be prepared to discuss your experience with deep learning models and computational fluid dynamics. Bring examples of your previous work, especially any publications or projects that demonstrate your expertise in these areas.

✨Understand the Project Goals

Familiarise yourself with the ECO-AI project and its objectives. Being able to articulate how your skills align with the project's aims will show your genuine interest and understanding of the role.

✨Prepare for Problem-Solving Questions

Expect questions that assess your problem-solving abilities, particularly in relation to AI applications in subsurface flow modelling. Think through potential challenges you might face in the role and how you would address them.

✨Communicate Clearly and Confidently

Since excellent verbal and written communication skills are essential, practice explaining complex concepts in a clear and concise manner. This will help you convey your ideas effectively during the interview.

Research Associate - Enabling CO2 Storage Using Artificial Intelligence
Heriot-Watt University
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  • Research Associate - Enabling CO2 Storage Using Artificial Intelligence

    Full-Time
    37174 - 46735 £ / year (est.)
  • H

    Heriot-Watt University

    1000-5000
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