PhD student position in high-performance machine learning at KTH Royal Institute of Technology.

Project description

You will contribute to a research project that aims at developing the principles behind the next generation of computing systems, optimized for modern data-intensive workloads. The position is part of a WASP project on “Data-bound computing”, which comprises expertise from machine learning algorithms, distributed systems, programming languages and compilers, and computer architecture. This particular position is hosted by Prof. Mikael Johansson’s research group at KTH, but you will be enrolled in the WASP graduate school and work closely with students and postdocs in the project at Chalmers and KTH. Together, we will collaborate to explore how the ML pipeline, and the computing resources that support it, can be enhanced and radically re-designed for unprecedented efficiency and scalability.

We are looking for candidates with strong knowledge in applied mathematics and computer science. Experience from algorithm development for machine learning is desired. You need a strong academic track record, be analytical and independent, and have a passion for research and problem-solving.

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