2 Result(s)

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 novel radiation detectors optimized for the magnetic monopole searches. The detectors are to be deployed at the Large Hadron Collider, CERN, and in space using CubeSat satellites. Experience with electronics (charge-sensitive amplifiers, impedance matching) and/or micro-fabrication techniques (physical vapor deposition, photolithography) is expected. 2. 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. Prior experience with machine learning methods and/or with programming l...

Required Availability
Summer 2022
Course Credit?
Yes - PH495
Paid Position?
No

Deep Learning on Geosocial Media as Volunteered Geographic Information

The position is about developing deep learning tools to analyze geosocial media data for various applications, such as earth science, disaster management, and transportation. Required skills: 1. Strong Python programming skills 2. Have taken the class on statistics and probability 3. Being Self-motivated 4. Good time management and be a team player Preferred skills: 1. Knowledge in deep learning and tensorflow 2. Knowledge in machine learning or data science...

Required Availability
The End of Time
Course Credit?
No
Paid Position?
No
Faculty
Zhe Jiang