Search for Magnetic Monopoles: from the Large Hadron Collider to Space
Student can get involved in the following aspects of the project: 1. Development of a Citizen Science web and mobile platform to allow general public to participate in the analysis of the MoEDAL experiment. 2. Development of novel radiation detectors optimized for the magnetic monopole searches. The detectors are to be deployed at the Large Hadron Collider, CERN, and in the Low Earth Orbit using CubeSat satellites. No prior experience with detector development required. 3. Applying Deep Learning techniques to the data analysis of the MoEDAL experiment at the LHC. The work involves operation of a GPU based computing system, application of convolutional neural networks for event classification. No prior experience with machine learning methods required. Familiarity with programming languages (Python, C) is advantageous. Position is initially unpaid.