Line: 1 to 1 | ||||||||
---|---|---|---|---|---|---|---|---|
Summer Students - 2017 | ||||||||
Line: 21 to 21 | ||||||||
We require completed CVs, along with a Letter of Recommendation from your university tutor, by 21st February 2017.
| ||||||||
Changed: | ||||||||
< < |
| |||||||
> > |
| |||||||
Your CV should include:
| ||||||||
Line: 102 to 102 | ||||||||
Finding particles using Machine Learning | ||||||||
Added: | ||||||||
> > | Now not available under this scheme. | |||||||
In an environment such as the Large Hadron Collider, we have millions of collisions per second, each producing thousands of particles passing through our detectors. Particle physics experiments such as ATLAS rely on thousands of computers using clever algorithms to identify different types of particles and find interesting collisions, such as the production of Higgs bosons. We may be able to use recent developments in machine learning and artificial intelligence to create sophisticated new ways of finding particles. In this project you will create a prototype system capable of identifying particles in the ATLAS detector. Required skills: You should have an interest in computing with some experience of programming in C++ or a similar language. CMS | ||||||||
Line: 136 to 138 | ||||||||
Proposed dates of project: 3 July to 25 August (negotiable) Required skills: The projects will involve simple coding in C++ on Linux. An expertise with neither language nor operating system is necessary - but it would help. A readiness to try things out on a computer is essential. An interest in particle physics is a must! \ No newline at end of file | ||||||||
Added: | ||||||||
> > | T2K |