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Phd Candidate in Hybrid Optimization Algorithms for
il y a 2 semaines
SnT is a leading
international research and innovation centre in secure, reliable and trustworthy ICT systems and services. We play an instrumental role in Luxembourg by fueling innovation through research partnerships with industry, boosting R&D investments leading to economic growth, and attracting highly qualified talent.
We're looking for people driven by excellence, excited about innovation, and looking to make a difference. If this sounds like you, you've come to the right place
Your Role:
This is a fully funded position for 3 years (extendable to an additional 4th year) in the UltraBO (Ultra-scale Computing for solving Big Optimization Problems) project conducted in collaboration with the BONUS (Big Optimization and Ultra-Scale computing) team of Prof.
The UltraBO project aims to design and implement novel parallel hybrid optimization algorithms for modern supercomputers. Many experiments reported in the literature demonstrate that high-quality results are obtained through hybridization. However, finding efficient and effective hybridization schemes is challenging and tedious.
On the other hand, according to Top500 modern supercomputers are increasingly large (millions of cores), heterogeneous (various CPUs, GPU, FPGA,) and less and less reliable (Mean Time Between Failures - MTBF
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