The candidate must be a full-time university student, returning to their studies after the placement, with a basic knowledge of particle physics and proficiency in Python. Experience with data visualization tools and an interest in improving software are essential. They should also be able to work independently and in a team. Desirable criteria include experience with Linux and an interest in pattern recognition or machine learning.

The candidate will be responsible for developing performance measurement code and optimizing tracking software, presenting progress updates, and creating a final report summarizing their findings in experimental particle physics.

Science

United Kingdom

Oxford

Competitive salary

Career average pension

Flexible Working

Season ticket loans

Large

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Government

UK Research and Innovation

<ul><li>This&nbsp;placement&nbsp;is to optimise and benchmark the performance of new ATLAS High Level Trigger software being developed utilizing modern software techniques to fully exploit new computing architectures.</li><li>The ATLAS High Level Trigger decides which collision events are to be recorded for analysis offline and which are to be discarded. It does this by reconstructing features characteristic of, for example, electrons, muons, tau-leptons or groups of nearby particle (jets) using software algorithms that run on a farm of computers. The software has to be fast.</li><li>Currently the farm can process 100,000 events per second but it will be upgraded to process 1 million events per second for the LHC Phase II upgrade. For this upgrade, the RAL group is developing new tracking software that reconstructs particle trajectories through the Atlas Inner Tracker. We're looking forward to give a&nbsp;placement&nbsp;student the opportunity to participate in the code development and develop analysis tools that they will use to measure the performance of the software.</li></ul>

Currently Studying

Undergraduate

This placement is to optimise and benchmark the performance of new ATLAS High Level Trigger software being developed utilizing modern software techniques to fully exploit new computing architectures.The ATLAS High Level Trigger decides which collision events are to be recorded for analysis offline and which are to be discarded. It does this by reconstructing features characteristic of, for example, electrons, muons, tau-leptons or groups of nearby particle (jets) using software algorithms that run on a farm of computers. The software has to be fast.Currently the farm can process 100,000 events per second but it will be upgraded to process 1 million events per second for the LHC Phase II upgrade. For this upgrade, the RAL group is developing new tracking software that reconstructs particle trajectories through the Atlas Inner Tracker. We're looking forward to give a placement student the opportunity to participate in the code development and develop analysis tools that they will use to measure the performance of the software.

Experimental Particle Physics Summer Placement

Requirements

Responsibilities

UK Research and Innovation

Mission & Purpose