We are inviting applications for a research associate position in the Numerical Linear Algebra Group at the University of Manchester in England. You will join Numerical Linear Algebra for Future and Emerging Technologies (NLAFET) collaboration, a project funded by the European Commission and involving University of Manchester, INRIA, Umea University, and STFC/RAL. You will conduct research on dense and sparse linear algebra solvers aiming at a significant reduction of communication and thus suitable for future and emerging large-scale computers. The algorithms developed will be validated on several applications targeted by NLAFET, such as computational fluid dynamics, astrophysics, etc. A close collaboration and visits with the other partners of the project will be involved.
Future extreme-scale supercomputers will be heterogeneous and lead to new and challenging demands for efficient numerical algorithms and parallel software libraries. The aim of NLAFET is to tackle these challenges and ultimately deliver new scalable numerical libraries for fundamental problems in numerical linear algebra, including the solution of dense and sparse systems of equations and eigenvalue problems. Achieving this requires a co-design effort including developing novel algorithms, exploration of advanced scheduling strategies and runtime systems, offline and online autotuning, as well as avoiding communication and synchronization bottlenecks.
The position will focus on design, implementation, and evaluation of parallel algorithms for matrix linear system and eigenvalue problems with regards to the extreme-scale challenges. The research will be done in close collaboration with recognized researchers and PhD students in the research group as well as with other partners in NLAFET.
You should have a PhD in applied mathematics or computer science and expertise in numerical linear algebra and high-performance computing.
The particular focus of this post is:
- Numerical linear algebra (analysis, algorithms, rounding error analysis) for basic algorithms (LU, Cholesky, QR, eigenvalue, and SVD) on extreme scale machines.
- Prototype software, develop scalability and identify and expose tunable components for multicore and hybrid hardware configurations.
This post offers a full-time 24-month research appointment.
The School of Mathematics is committed to promoting equality and diversity, including the Athena SWAN charter for promoting women’s careers in STEMM subjects (science, technology, engineering, mathematics and medicine) in higher education. The School received a Bronze Award in 2013 for their commitment to the representation of women in the workplace and we particularly welcome applications from women for this post. Appointment will always be made on merit. For further information, please visit http://www.materials.manchester.ac.uk/about-us/athena-swan/
Please note that we are unable to respond to enquiries, accept CV's or applications from Recruitment Agencies.
Enquiries about the vacancy, shortlisting and interviews:
Name: Professor Jack Dongarra, Turing Fellow
Tel: 0161 275 4499
Tel: 01565 818 234
Date of external posting: 22 September 2016
This vacancy will close for applications at midnight on the closing date.