Department of Mathematical Sciences, Chalmers University of Technology and Gothenburg University Visiting Address: Chalmers Tvärgata 3, SE-412 96 Gothenburg, Sweden room: 2089, phone: +46-(0)31-772-3567 E-post: larisa@chalmers.se arxiv |
Available PhD position ( still actual)
Books
Inverse Problems and Large-Scale Computations, Series: Springer Proceedings in Mathematics & Statistics, Vol. 52, Beilina, Larisa; Shestopalov, Yury V. (Eds.), DOI: 10.1007/978-3-319-00660-4, 2013
Inverse Problems and Applications, Series: Springer Proceedings in Mathematics & Statistics, Vol. 120, Beilina, Larisa (Ed.), ISBN 978-3-319-12499-5, 2015
Nonlinear and Inverse Problems in Electromagnetics , Series: Springer Proceedings in Mathematics & Statistics, Beilina, L., Smirnov Yu. G. (Eds.), ISBN 978-3-319-94060-1, 2018 Mathematical and Numerical Approaches for Multi-Wave Inverse Problems , Series: Springer Proceedings in Mathematics & Statistics, Beilina, L., Bergounioux, M., Cristofol, M., Da Silva, A., Litman, A. (Eds.), ISBN 978-3-319-94060-1, 2020Available PhD/PostDoc positions
The Department of Mathematical Sciences at Chalmers University of Technology and University of Gothenburg, Sweden, are seeking candidates for a 5-years PhD position for the project ``Efficient algorithms for microwave imaging based on a new non-local optimization approach'' partially supported by the Swedish National Science Foundation (VR). The main purpose of this project is theoretical development and implementation of a numerical method for solving the coefficient inverse problem for Maxwell's equations with the goal of reconstruction of the spatially distributed dielectric permittivity and the conductivity functions from scattered boundary measurements of electrical field. PhD position concerns development of an adaptive finite element method for the solution of the Coefficient Inverse Problem (CIP) for time-dependent Maxwell equations for electric field in conductive media using C++/PETSc. The main focus in the project will be on development of new versions of domain decomposition FEM/FDM method implemented in the existing software package WavES, waves24.com , for the specific problems of this project. Candidate for PhD position should hold a Master degree in Computer Science, Applied Physics, Applied Mathematics, or equivalent, awarded by an internationally recognized university-level institution or documented equivalent thereof. If you are interested in this position, please sent e-mail to larisa@chalmers.se.
I am the head of the Projects:
- Adaptive Finite Element Methods for the solutions of Inverse Problems supported by the Swedish Institute, Visby Program.
- Global convergence and adaptive finite element methods for the solution of Coefficient Inverse Problems for Maxwell equations supported by the Swedish Research Council
- WavES supported by the Swedish Institute and by the Swedish Research Council