54 inverse-problems scholarships

PhD Studentship: Better-conditioned Inverse Problems in Computational Materials Science

Supervisors: Prof. James Kermode (Engineering) and Dr. Thomas Hudson (Maths) Summary:  Inverse problems are a general class of problems that involve calibrating the parameters of a model using

PhD Candidate (M/F): Calibration of a Hydrogeological Model

that contribute to the DHM parameters. The thesis aims to develop a robust numerical solver for the hydrogeological inverse problem, allowing integration of geophysical data suitable for catchment-scale

PhD position at the University of Orléans “Direct modeling of electrical signals in hydrogeophysics using reactive transport modeling”

22 Apr 2024 Job Information Organisation/Company BRGM Research Field Geosciences » Hydrology Environmental science » Earth science Physics » Computational physics Computer science » Modelling tools

PHD STUDENT POSITION (F/M/X)

: ·         Master’s degree in Applied Mathematics. ·         Strong background in numerical mathematics and modelling. ·         Experience in HPC, Inverse Problems and/or Optimization. ·         English skills

Doctoral Researcher on Inversion of Fracture Networks in Aquifers and Reservoirs

Martin Luther University Halle-Wittenberg (MLU), Institute of Geology and Geography, Germany, offers the following position: Doctoral Researcher on the project“Inversion of fracture networks in

PHD STUDENT POSITION (F/M/X)

within the Institute mathematicians from all around the globe collaborate on common core areas in mathematical modeling, simulation, inverse problems and optimization. RICAM has proven to stand for

PhD Studentships: Nonlinear problems related to traction force microscopy

generation to medium deformation as well as the formulation, analysis & approximation of a well-posed inverse problem to recover forces from the observed deformation. TFM is used to estimate forces generated

PhD student position in geometric deep learning

learning (deep learning) for inverse problems in artificial intelligence, as well as application to medical problems. Major responsibilities Your major responsibilities are to pursue your own doctoral

PhD Position Full Wave Inversion Using Data-Driven Operators for GNSS-R Data

the inverse problem will improve the ability to select the most likely subsurface models (in joint effort with PolyChord) and the results will be calibrated with drone-borne GPR results (in joint effort with

PhD Position Full Wave Inversion Using Data-Driven Operators for GNSS-R Data

operators . Including Bayesian methods in the inverse problem will improve the ability to select the most likely subsurface models (in joint effort with PolyChord) and the results will be calibrated with