We are looking forward to receiving applications for a PhD position at the Geothermal Institute, University of Auckland, as part of the MBIE Endeavour Fund programme DeepHeat, in collaboration with Earth Sciences New Zealand

Superhot Geothermal Energy - Fracture Network & Recharge Modelling

PhD Research Focus: This PhD will investigate fracture-stress-permeability evolution in superhot geothermal systems using a multiscale, physics-based modelling framework.

The project focuses on understanding how fractures evolve and control fluid flow during injection and production.The research will develop DFN-based models of fracture geometry and connectivity, coupled with geomechanical and thermo-hydro-mechanical (THM) processes governing fracture reactivation, propagation, and permeability evolution. It will integrate geological datasets, laboratory-derived behaviour, and reservoir-scale simulations to construct dynamically evolving fracture networks. Key components include stochastic DFN generation, coupled THM–fracture modelling, and upscaling to continuum reservoir properties using statistical and AI/ML approaches. The outcomes will support quantitative assessment of stress- andtemperature-dependent permeability evolution, recharge efficiency, andpermeability enhancement in superhot geothermal reservoirs.

Main Supervisor: Dr Eylem Kaya

Co-supervisors: Assoc P Sadiq J. Zarrouk (University of Auckland) and Dr Saeid Jalilinasrabady (Earth Sciences New Zealand)

Candidate Profile:

·        A background (BE (Hons) or Masters) in reservoir engineering, geomechanics, structural geology, geological engineering, appliedmathematics, or geophysics      

·        Demonstrated experience (or strong interest) infracture and fracture-network modelling with some exposure to DFN approaches

·        Demonstrated engagement with multiphysics(particularly coupled thermal–hydraulic–geomechanical) processes

·        Programming / data-analysis skills (e.g.,Python, MATLAB, Fortran, or similar)

·       Ability to work independently while collaborating with a multidisciplinary academic and industry team

·        A minimum of two publications in a relevant areaof research

·        Desirable (but not essential): prior exposure todata science, or statistical modelling

What We Offer

·        full tuition fees for three years, full-timeonly (no exceptions)

·        a tax-free stipend of $35,468 NZ pa for 3 years

·        $ 3,000 NZ pa for 3 years for research-relatedexpenses

Application documents

·        CV + Academic transcripts

·        Brief statement of research interests andrelevant experience

·        Proof of English proficiency

·        Contact details for two referees

The successful candidate must start within 3 months of beingawarded the scholarship. We encourage applications from candidates of allbackgrounds, including Māori, Pasifika, women, and individuals of diverseidentities and abilities.

Apply or enquire: e.kaya@auckland.ac.nz

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