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Postdoctoral Position in Numerical Linear Algebra on Extreme-scale Computers at Rutherford Appleton Laboratory, Oxfordshire, UK
Posted to SIAG/LA: August 16, 2017.We are inviting applications for a postdoctoral position in the Computational Mathematics Group at STFC-RAL in Oxfordshire, UK.
The successful candidate will join the Numerical Linear Algebra for Future
and Emerging Technologies (NLAFET) project funded by the European Commission
involving Inria, Umea University, University of Manchester and STFC-RAL.
The position will focus on the design, implementation, and evaluation of
parallel algorithms for numerical linear algebra with regards to
extreme-scale challenges. The research at RAL will principally be on
sparse direct solvers that are highly scalable and thus suitable for future
and emerging large scale computers. The algorithms developed will be
validated on several applications targeted by NLAFET, such as power systems,
computational fluid dynamics, and astrophysics. The research will be done in
close collaboration with established researchers in the Computational
Mathematics Group as well as with other partners in NLAFET.
Candidates should have a PhD in applied mathematics or computer science and expertise in numerical linear algebra and high performance computing. The candidate must have a visa to work in the UK which automatically includes any UK or EU citizen.
This post offers a full-time research appointment until the end of the project on 31 October 2018.
Informal enquiries may be made to: Iain Duff iain.duff@stfc.ac.uk.
To apply or to find out more details about the position, please go to the STFC recruitment portal at: http://topcareer.jobs/Vacancy/irc242252_7364.aspx
The deadline for applications is 24th September 2017 but I encourage people to apply well before that date. The appointment can begin at any time after the job offer and ideally the post should start on or before 1st November 2017.
A two year post-doc position is available at the University of Strathclyde within the EPSRC-funded project Inference, Computation and Numerics for Insights into Cities (ICONIC) https://iconicmath.org/
To be considered for the role, you will be educated to a minimum of PhD level in an appropriate discipline, with experience in scientific computation and skills in one or more of: matrix computations, stochastic modelling, statistical inference, network science or data science.
Further details are available at https://iconicmath.org/recruitment/