AME - Machine Learning and Scientific Computing with Python

There are several opportunities in the McClarren research group for people interested in scientific computing and machine learning. Topics include (but are not limited to):

  1. Fusion energy
  2. Nuclear fission systems
  3. High temperature radiative transfer
  4. Hypersonics

Please reach out to Prof. McClarren directly if you are interested to get more details.

 

Name of research group, project, or lab
McClarren research group
Why join this research group or lab?

We do cool work and have fun.

Representative publication
2405.04003v1.pdf
Logistics Information:
Project categories
Aerospace and Mechanical Engineering
Applied and Computational Mathematics and Statistics
Computer Science & Engineering
Physics & Astronomy
Student ranks applicable
Sophomore
Junior
Senior
Student qualifications

Some knowledge of Python

Hours per week
1 credit / 3-6 hours
2 credits / 6-12 hours
3 credits / 12+ hours
Summer - Full Time
Summer - Part Time
Compensation
Research for Credit
Paid - General
Paid - Work-Study Required
Unpaid - Volunteer
Number of openings
3
Techniques learned

Machine Learning, Monte Carlo methods, high-performance computing

Project start
Spring Semester
Contact Information:
Mentor
Ryan McClarren
rmcclarr@nd.edu
Professor
Name of project director or principal investigator
Ryan McClarren
Email address of project director or principal investigator
rmcclarr@nd.edu
3 sp. | 11 appl.
Hours per week
1 credit / 3-6 hours (+4)
1 credit / 3-6 hours2 credits / 6-12 hours3 credits / 12+ hoursSummer - Full TimeSummer - Part Time
Project categories
Physics & Astronomy (+3)
Aerospace and Mechanical EngineeringApplied and Computational Mathematics and StatisticsComputer Science & EngineeringPhysics & Astronomy