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PhD psoition

Job in Abu Dhabi, UAE/Dubai
Listing for: Egu2018
Full Time position
Listed on 2026-08-15
Job specializations:
  • Research/Development
    Research Scientist, AI Business & Operations, Research Analyst
  • Science
    Research Scientist, AI Business & Operations
Job Description & How to Apply Below

Khalifa University of Science and Technology

Khalifa University is home to the UAE’s leading research centers as interdisciplinary research units focused on long-term strategic priorities addressing regional and global challenges in a systematic and targeted manner via engagement of world-class researchers and facilities. These research centers are at the heart of KU’s global leadership in use-inspired research.

  • Earth Magnetism & Rock Physics (EMRP)
  • Energy, Resources and the Environment (ERE)
  • Seismology (SM)

Type

Full time

Level

Student / Graduate / Internship

2500 - 5000 € / Year, Salary amount depends on the quality of candidate's profile

Required education

Master

25 August 2026

Posted

13 August 2026

I am seeking a highly motivated PhD candidate to conduct interdisciplinary research at the interface of geophysics, rock physics, and remote sensing
, with applications to critical mineral exploration, environmental studies, and energy resources
.

The research will focus on developing and integrating geophysical, rock-physics, and remote-sensing AI- and physics-based approaches to better characterize the subsurface and understand the physical properties of geological materials.

Potential research applications include:

  • Critical mineral exploration and characterization, including identification of geological and geophysical signatures associated with mineralized systems;
  • Environmental geophysics, including subsurface characterization, environmental monitoring, and assessment of geological and environmental processes;
  • Energy-related applications, including characterization of conventional and renewable energy resources, geothermal systems, subsurface energy storage, and related geological settings;

The successful candidate should have a strong academic background in geophysics, applied geophysics, remote sensing, machine learning, or a closely related discipline. Experience with geophysical data processing and interpretation, remote-sensing techniques, GIS, and/or rock physics is highly desirable. Candidates with experience in programming and scientific computing (e.g., Python, MATLAB, or similar environments), quantitative data analysis, and integration of multidisciplinary Earth-science datasets are particularly encouraged to apply.

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