Exciting opportunities for PhD at GMGG, IIT Kharagpur
My research activity is mainly focused on high-resolution joint modeling and inversion of potential field constrained with other data sets at various scales a few kilometers of depth scale to lithospheric mantle scale modeling. I mainly use in-house developed algorithms for inversion producing high-end geologically consistent results, and commercial Software like Oasis-Montaz, IGMAS+, LitMod2D, and Geomodeller for the geodynamic problems. My main focus has been on developing practical algorithms for inverting gravity, magnetic and full gravity gradient tensor data sets to reconstruct the three-dimensional distribution of physical properties using Machine Learning (ML) and Artificial Intelligence (AI) approaches. I have been actively working on individual inversion methods as well as joint and cooperative strategies for inverting multiple sets of geophysical and geological data. I have worked extensively on enhanced visualization of three-dimensional arrangements of complex geometries using an interdisciplinary geophysical approach and to understand the mechanism of deeper subsurface structures associated with lithosphere and the cause of mantle deformation using a density model
Forward and Inverse Gravity and Magnetic Field Modeling
Gradiometry, and Geodynamics
Application to Mineral and Hydrocarbon Exploration
Marine Gravity and Magnetic Exploration
Muon Tomography for Subsurface Imaging
Establish standards of excellence in science and promote the global geosciences
We always seek excellent students for masters dissertations, Ph.D.'s, and postdocs, so feel free to drop us a line (p.dubey48@gmail.com).
Any national fellowship holders are most welcome to join the group throughout the year. Looking forward to working with ignited young minds to solve global geodynamic puzzles!
Two PhD Opportunities for the Spring 2024-25 session are available now at GMGG (Gravity, Magnetic and Gradiometry in Geosciences). Interested candidates with a Master's Degree in Geophysics and experience in computational algorithm development with CSIR-NET/GATE or other national fellowship may contact me (p.dubey48@gmail.com) for any further information regarding the following projects:
Project 1: AI-based DeepEarth model to explore the Crustal structures for the natural resources using integrated geological and geophysical studies
Summary: Leveraging the AI-based DeepEarth model for geological and geophysical studies offers a promising approach to exploring crustal structures for natural resource extraction. By integrating machine learning algorithms with field geological mapping, the DeepEarth model can efficiently analyze complex geological data, identify potential resource deposits, and provide insights into the Earth's crustal structures.
Project 2: CLAIM - Crust and Lithosphere Assessment of Integrated Mantle in Geodynamics for the Indian Continent
Summary: This project aims to enhance our understanding of the geodynamic processes affecting the Indian subcontinent by integrating crustal and lithospheric assessments with mantle dynamics. This research focuses on the intricate relationships between the Earth's crust, lithosphere, and underlying mantle, which are critical for understanding tectonic activity, resource distribution, and geological hazards.