The University of Texas at Arlington
3 weeks ago
PhD in Hydraulic Fracturing, Geomechanics, and Geothermal Energy at The University of Texas at Arlington The University of Texas at Arlington in United States
Degree Level
PhD
Field of study
Computer Science
Funding
The post describes a PhD research opportunity with academic, national-laboratory, and industry collaborators, but does not specify stipend, tuition coverage, or other funding details.
Country
United States
University
The University of Texas at Arlington
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About this position
PhD opportunity at The University of Texas at Arlington in the Resource and Energy Engineering Division, working with the research group of Mohamed Malki.
The project focuses on hydraulic fracturing, geomechanics, and geothermal energy, with interdisciplinary research spanning enhanced geothermal systems, computational modeling, and physics-informed machine learning. The work aims to understand, model, and predict hydraulic-fracture interactions with natural fractures in unconventional and geothermal reservoirs using physics-based numerical simulations, laboratory and field-derived datasets, and data-driven methods.
Research themes include fracture propagation, interaction mechanisms, pressure response, connectivity, and implications for subsurface energy production. The position also offers opportunities to publish peer-reviewed research and present at major technical conferences, and to collaborate with academic, national-laboratory, and industry partners.
Ideal background: M.S. in Petroleum Engineering, Geological Engineering, Mining Engineering, Civil/Geotechnical Engineering, Geophysics, or a closely related field. Strong preparation in hydraulic fracturing, rock mechanics, fracture mechanics, geomechanics, or reservoir engineering is preferred, along with numerical modeling experience, porous/fractured media flow knowledge, and programming skills in Python or MATLAB.
Preferred extras: XSite, 3DEC, FLAC3D, PFC, GEOS, TOUGH2, coupled THM processes, machine learning, uncertainty quantification, pressure-transient analysis, microseismic data, fracture-network analysis, or field stimulation data.
Location: Arlington, Texas, USA. Anticipated start: Spring/Fall 2027.
How to apply: Email [email protected] with your CV, transcripts, references, and supporting research materials such as publications, thesis, technical reports, or a coding portfolio.
Funding details
The post describes a PhD research opportunity with academic, national-laboratory, and industry collaborators, but does not specify stipend, tuition coverage, or other funding details.
What's required
M.S. in Petroleum Engineering, Geological Engineering, Mining Engineering, Civil/Geotechnical Engineering, Geophysics, or a closely related discipline. Strong background in hydraulic fracturing, rock mechanics, fracture mechanics, geomechanics, or reservoir engineering is preferred, along with experience in numerical modeling of subsurface processes, understanding of flow in porous and/or fractured media, Python, MATLAB or similar tools, and strong quantitative, analytical, and scientific-writing skills. Preferred experience includes hydraulic-fracture/natural-fracture interaction research, XSite, 3DEC, FLAC3D, PFC, GEOS, TOUGH2, enhanced geothermal or unconventional reservoir background, coupled THM processes, machine learning or uncertainty quantification, and pressure-transient, microseismic, fracture-network, or field stimulation data.
How to apply
Email [email protected] with your CV, undergraduate and graduate transcripts, contact information for two or three references, and relevant publications, M.S. thesis, technical reports, or coding portfolio. Mention your interest in the PhD project and relevant background.
More information can be found here
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