PhD Candidate in CO₂ Storage: The Department of Geosciences at NTNU invites applications for a PhD candidate position focusing on the development of physics-informed machine learning models for large-scale CO₂ storage. This initiative aims to address computational challenges in CO₂ storage simulation and optimize operational workflows.
PhD Candidate in Efficient Reservoir Simulation and Optimisation of Large-Scale CO₂ Storage
Designation
PhD Candidate
Research Area
- Efficient Reservoir Simulation
- CO₂ Storage
- Physics-Informed Machine Learning
- Numerical Modelling and Optimization
Location
Norwegian University of Science and Technology (NTNU), Trondheim, Norway
Eligibility/Qualification
- A relevant Master’s degree in applied and computational mathematics, physics, geophysics, computer science, petroleum/chemical/mechanical engineering, or similar fields.
- An average grade of B or better (equivalent to NTNU’s grading scale).
- Proficiency in English (documented via tests like TOEFL or IELTS).
- Documented coding proficiency (e.g., Python, Matlab, C++).
- Competence in numerical modelling, machine learning, and optimization.
Job Description
- Conduct research contributing to the development of physics-informed machine learning proxy models for large-scale CO₂ storage.
- Complete doctoral education, resulting in obtaining a doctorate.
- Engage in academic publications and disseminate research findings.
- Participate in international conferences and research collaborations.
- Collaborate closely with research groups focused on well and reservoir management.
How to Apply
Interested candidates should submit applications electronically via Jobbnorge.no, including:
- Transcripts and diplomas for Bachelor’s and Master’s degrees
- CV
- Copy of Master’s thesis
- Project outline (maximum 1500 words)
- Short letter of motivation (400 words)
- Publications, if available
- Names and contact information for three references.
Last Date for Apply
31st October 2025
For further inquiries, please contact Associate Professor Ashkan Jahanbani Ghahfarokhi via email at ashkan.jahanbani@ntnu.no.
