AI research software engineer for real time applications in particle physics

The experiments at the Large-Hadron-Collider (LHC) require multi-step algorithms to reduce the initial data rate from 40 MHz by several orders of magnitude for offline storage. The first step of these algorithms operates on dedicated FPGA (field programmable gate array) hardware. Given the crucial nature of this initial selection step, traditional rule-based selection approaches are now increasingly replaced with machine learning and artificial intelligence (AI) algorithms. To further strengthen the CMS group at the University of Hamburg, we are looking for a research software engineer, focusing on FPGA-based applications for current and future experiments in particle physics.

The CMS group of the University of Hamburg hosts more than 60 researchers, technicians, and administrative personnel and is engaged in a broad program of physics analysis – including measurements of the Higgs boson and the top quark as well as searches for new phenomena beyond the standard model – as well as the planning and constructions of future experiments. A major focus lies on the development and application of modern AI techniques.

We are part of the cluster of excellence Quantum Universe which connects researchers at the University of Hamburg and DESY and which hosts a dedicated Fast Machine Learning Lab for shared expertise on real-time applications of AI.