Post-doctoral in Optimization of finite-difference seismic wave solvers and their adjoints computing
University de São Paulo Department of Computer Science, Mathematics and Engineering
Brazil

Description:
The successful candidate will collaborate with researchers from the project "Software technologies for simulation and inversion" of the Research Centre for Gas Innovation of POLI-USP at the University of Sao Paulo. Summary of the program and projects can be found at the RCGI website (http://www.rcgi.poli.usp.br/) Project 46 – STMI.
The general objective of the project is to create a library of numerical discretization for numerical seismic imaging expressed symbolically using Devito, a domain-specific language (DSL) and code generation framework for the design of highly optimized finite difference kernels for use in inversion methods (https://www.devitoproject.org/). The first specific objective of this workstream is to develop discretization methods for several types of partial differential equations relevant for full waveform inversion: isotropic acoustic system and anisotropic acoustic and elastic systems, with the following properties: (1) stability in the presence of high medium contrasts for long time integrations, (2) accuracy of key solution metrics, e.g. minimized dispersion errors, (3) computational efficiency. The second specific objective is the theoretical study and implementation of both state of the art and novel optimization methods to solve the FWI problem. In particular, we will focus on the development of sharp interface models, which are relevant for geological settings presenting strong discontinuities, such as the case of delineation of salt bodies.
The successful candidate will perform the numerical analysis of the proposed methods and are expected to use the FEniCS and/or Devito/Firedrake package (Python or C++) for the numerical implementation of the finite-difference method and the resolution of the inverse problem.

 

Requirements to fill the position:
Programming skills, experience in numerical analysis and proficiency in English are required.
The postdoc candidate should hold a PhD in Mathematics, Computer Science, Physics or Engineering. Experience in inverse problems is not required but welcome.

 

INFORMATION ABOUT FELLOWSHIP:
The selected candidate will receive a scholarship of R$ 6.819,30 reais monthly granted by FUSP – Foundation of Support to the University of São Paulo.
MORE INFORMATION http://www.rcgi.poli.usp/opportunities AND APPLICATION AT
https://www.rcgi.poli.usp.br/opportunities/application-form-rcgi/ REF 19PDR111

Contact
Karen Mascarenhas
Human Resources
University De São Paulo
Av Prof Mello Moraes, 2231
Cidade Universitaria - Butanta
Sao Paulo 05508-030
Brazil

Phone Number
+551126486225
Email:
rcgi.opportunities@usp.br

  • Karen Mascarenhas
    Human Resources
    University De São Paulo
    Av Prof Mello Moraes, 2231
    Cidade Universitaria - Butanta
    Sao Paulo 05508-030
    Brazil
  •  
  • +551126486225
  • rcgi.opportunities@usp.br


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