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The successful candidate will join the software development for experiments (SFT) group, which develops and provides support for scientific software for the High Energy Physics experiment collaborations at CERN. The selected candidate will work, as part of the Next Generation Trigger (NGT) project, on developing machine learning software for accelerators such as FPGA taking responsibility for developing the hls4ml and Conifer libraries. These libraries have been developed jointly by CERN and its partners. The candidate will deploy neural networks on FPGAs and boosted decision trees using these libraries.
The work will be carried out in an international team of researchers from CERN partner institutes, in the context of the FastML community.
As part of this project, the candidate could be asked to supervise master students.
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Skills and/or knowledge
Eligibility criteria:
Job closing date: April 30 2024 at 12:00 AM (midnight) CEST.
Job reference: EP-SFT-2024-47-GRAP
Contract duration: 24 months, with a possible extension up to 36 months maximum.
Target start date: 01-June-2024
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At CERN, the European Organization for Nuclear Research, physicists and engineers are probing the fundamental structure of the universe. Using the world’s largest and most complex scientific instruments, they study the basic constituents of matter – fundamental particles that are made to collide together at close to the speed of light. The process gives physicists clues about how particles interact, and provides insights into the fundamental laws of nature. Find out more on http://home.cern.
We are on a Quest. A Journey into discovery like no other. Bring your expertise to our unique work and develop your knowledge and skills at pace. Join world-class subject matter experts on unique projects, in a Quest for greater knowledge and deeper understanding.
Begin your CERN Quest. Take Part!
Diversity has been an integral part of CERN’s mission since its foundation and is an established value of the Organization. Employing a diverse workforce is central to our success.
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