This Research Fellow position in Scientific Computing, with a specific focus on Numerical Linear Algebra and High-Performance Computing (HPC), presents a compelling opportunity for individuals passionate about advancing the frontiers of computational science and engineering. This role is embedded within an EPSRC-funded project, "Mixed Precision in Krylov Subspace Methods (MPiK)," aiming to revolutionize the energy efficiency of supercomputing through innovative algorithm design.
For aspiring researchers and developers, this position offers a unique chance to work on cutting-edge problems that have significant real-world impact. If you are driven by the challenge of developing numerical algorithms or high-performance software for scientific computing, and possess expertise in numerical linear algebra or experience with large-scale computing, this role is designed to help you expand your skill set and contribute meaningfully.
This Research Fellow position is more than just a job; it's an investment in your future as a leading computational scientist. It offers a dynamic environment to hone your skills, collaborate with global experts, and contribute to solutions that will shape the future of scientific computing and address critical global challenges.