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PhD position - Preconditioners for time-harmonic heterogeneous electromagnetic problems (Univ. Strathclyde)Posted to SIAG/LA: August 3, 2018.
PDEs (partial differential equations) arise in the mathematical modelling of many physical phenomena as well as science and engineering problems (meteorology, structural analysis, fluid dynamics, electromagnetism, finance, etc.) Parallel solution schemes using state-of-the art computers allow scientists to obtain more representative and accurate solutions of the discretised equations faster. This increase in computational and modelling capabilities in turn encourages modelers and scientists to tackle harder problems, which need finer discretisations or more complex geometries. Among these problems, wave propagation in heterogeneous media and time harmonic regime (supposing an oscillatory behaviour in time of the solution) is particularly challenging and requires sophisticated methods. This project seeks to design, analyse, and implement fast, highly-parallel preconditioners for problems involving electromagnetic waves. The PhD researcher will have a substantial interaction with the postdoctoral researchers and scientists working in a recently awarded EPSRC grant between the Universities of Bath and Strathclyde, as well as with the industrial and academic international experts who are collaborating in this project.
Prerequisites: you should have (or expect to have) a UK Honours Degree (or equivalent) in Mathematics, Mathematics and Physics, or a closely related discipline with a high mathematical content. Knowledge of numerical methods for the solution of partial differential equations and programming in usual scientific programming languages is desirable.
The candidates must be a UK citizen, or a EU citizen fulfilling the EPSRC requirements. The starting date of the position should be on the 1st of October, 2018 or very soon after. Funding: 4 year EPSRC scholarship.
Informal inquiries can be made to the supervisor: V. Dolean (email@example.com)
Several PhD positions in scientific computing are available in the Department of Mathematics at Emory University. Numerical Analysis and Scientific Computing are among the department’s key focus areas. Our graduate program focuses on numerical linear algebra, partial differential equations, optimization, inverse problems and offers excellent research opportunities in these areas and opportunities for interdisciplinary collaborations with leading experts from a variety of disciplines including cardiology, radiology, biostatistics, biomedical engineering, geophysics, and machine learning.
For PhD students in Mathematics, a number of five-year scholarships are available. International students are encouraged to apply, and successful candidates will receive visa sponsorship. Incoming students are required to have a BSc degree in mathematics, computer science, or a related field. Applicants with MSc degrees are welcome to apply for admission as ‘advanced standing.’
More information can be found at http://www.mathcs.emory.edu/Research/Area/ScientificComputing/
Interested candidates should contact firstname.lastname@example.org
All applicants must submit an application package consisting of:
(1) curriculum vitae and transcripts
(2) statement of purpose
(3) a minimum of two letters of reference
Review of applications will begin immediately and continue until the positions are filled. Anticipated start date is September 1, but other options, such as January 1, are possible.
The research unit NUMA, Department of Computer Science, KU Leuven invites applications for a full-time faculty position. The research unit develops numerical methods, algorithms, and software for simulation and data analysis, with applications in many fields in science and engineering. Research topics include numerical linear algebra, numerical methods for data analytics, model order reduction, control and optimization methods, multi-scale modelling and simulation, high performance computing, and uncertainty propagation.
The new position will complement the existing expertise on numerical methods and its applications of the NUMA Section, and will focus on new application modelling techniques and on new numerical algorithms and computational mathematics for Data Science. The position will aim at translating real-world problems to mathematical engineering models, and will be driven by practical applications and data-sets from the industry.
For further details, contact information and a description of the application procedure follow the link: https://www.kuleuven.be/personeel/jobsite/jobs/54589509?hl=en&lang=en
For more information, please contact the department chair Ronald Cools or the head of the research unit Dirk Roose.