PhD interface of geophysics and machine learning
Listed on 2026-02-10
-
Engineering
Research Scientist -
Research/Development
Research Scientist, Data Scientist
Overview
PhD candidate to work at the interface of geophysics and machine learning, with applications to energy, seismology, and environmental monitoring.
Employer: Khalifa University of Science and Technology
Location: Abu Dhabi, United Arab Emirates
Sector: Academic
Type: Full time
Level: Student / Graduate / Internship
Salary: 3000 - 4000 € / Year, Fully funded
Required education: Master
Final date to receive applications: 25 February 2026
Posted: 3 February 2026
Job DescriptionWe are seeking a highly motivated PhD candidate to work at the interface of geophysics and machine learning
, with applications to energy, seismology, and environmental monitoring
.
The successful candidate will develop and apply advanced numerical and data-driven methods to better understand subsurface processes, improve imaging and monitoring, and support safer and more sustainable use of the Earth’s resources.
Research topics may include- Physics-informed and data-driven methods for seismic imaging and inversion
- Time-lapse / 4D monitoring of reservoirs, geothermal systems, or CO₂ storage
- Machine learning for signal detection, classification, and seismic event characterization
- Numerical modeling of wave propagation and coupled geophysical processes
- Environmental applications such as induced seismicity, natural hazards, or groundwater studie
Required
- Master’s degree (or equivalent) in Geophysics, Physics, Applied Mathematics, Computer Science, or a related field
- Good skills in numerical programming (e.g. Python, MATLAB, Julia, C/C++)
- Solid understanding of mathematics and numerical methods
- Very good written and spoken English
- Ability to work independently as well as in a collaborative, interdisciplinary team
Desirable (an Advantage, But Not Strictly Required)
- Background in seismology, exploration geophysics, or environmental geophysics
- Experience with machine learning / deep learning frameworks (e.g. PyTorch, Tensor Flow, JAX)
- Familiarity with high-performance computing and/or handling large datasets
- A fully-funded PhD position in a dynamic research environment
- Close supervision and collaboration with an active international network
- Opportunities to attend conferences and workshops.
- Access to modern computational facilities
- A supportive environment for developing both scientific and transferable skills
Please send your CV to Dr. Fateh Bouchaala (fateh.bouchaala.ae).
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