3 Result(s)

Search for Magnetic Monopoles and other Exotics at the Large Hadron Collider and Beyond

Student can get involved in the following aspects of the project: 1. Development of novel radiation detectors optimized for the magnetic monopole searches. 2. Monte Carlo simulation and data analysis to support the current and planned searches for magnetic monopoles and other particles beyond the Standard Model of physics....

Required Availability
The End of Time
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

The Late Antiquity Modeling Project

Headed by Prof. Camille Leon Angelo (Religious Studies), the Late Antiquity Modeling Project (LAMP) is an international, interdisciplinary research collective that uses computational methods, such as 3D modeling, simulations, and machine learning, to reconstruct the embodied experiences of ancient buildings and landscapes. In so doing, the project crafts more accurate and embodied histories of religious communities across geographic and temporal contexts. Of particular interest to LAMP is how these embodied reconstructions might be leveraged to rewrite the history of the first centuries of Christianity. You can read about LAMP’s work on the earliest Christian Building here: https://hyperallergic.com/new-research-questions-the-existenc...

Required Availability
Spring 2026 | Summer 2026 | Spring 2027 | Summer 2027 | Fall 2027
Course Credit?
No
Paid Position?
No