Predoctoral Researcher to work on ERC project INTREPIDThe High Energy Physics (HEP) group at University of Oviedo is looking for a PhD.
student to join our team and work on our ERC Starting Grant project INTREPID.
The INTREPID project aims to enhance the trigger capabilities to enable the discovery of long-lived particles at the HL-LHC and beyond.
To this end, we will use a multidisciplinary approach involving advanced machine learning techniques and top-of-the-line ultra-fast processing platforms to propose an innovative solution that will improve the capabilities of future trigger systems.
The HEP group plays a leading role in the phase-2 upgrade work for the L1 trigger upgrade.
It is also involved in several physics analyses including long-lived particle searches, top quark, Higgs and diboson measurements.
In addition, the group also plays leading roles in the Phase-2 upgrade work for the DT and L1 muon trigger.Role DescriptionThe selected candidate will join the HEP group at University of Oviedo and the INTREPID project with the goal of participating in the design of innovative trigger algorithms to facilitate the discovery of long-lived particles at the HL-LHC.
The candidate is expected to be based at Oviedo with stays at CERN in case they are needed.
The candidate will participate in the algorithm design using AI and ML tools, its programming in FPGAs and its validation.
Additionally, the selected candidate will be able to participate in the operation of the CMS detector and analyzing the data collected during the Run 3 of the LHC.QualificationsMaster's degree or equivalent in a relevant disciplineResearch, Data Analysis, and Academic Writing skillsStrong analytical and critical thinking abilitiesAttention to detail and organizational skillsExcellent written and verbal communication skillsAbility to work independently and as part of a teamPrevious experience in data analysis, computing, machine learning or FPGA programming could be considered an asset.
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