Job Description: This position is within the Atomic, Molecular, and Optical Physics Theory research group of Dr. Kathryn Hamilton. The goal of this project is the development of a classification algorithm which can distinguish particular features of electron-impact excitation cross-sections. These cross-sections are of interest not only to atomic physicists, but also astrophysicists and plasma modellers. The undergraduate research student will join at the beginning of the project lifecycle, and so will have a unique opportunity to contribute to the direction of the project.

Specific responsibilities:

• Attend training (workshops and/or courses) in the field of Machine Learning

• Begin the development of a classification algorithm, written in MATLAB

• Perform testing of the algorithm using cross-sectional data provided by the PI

• Write a technical report summarizing the work completed, and further avenues of investigation

Skills the undergraduate research assistant will develop:

• Familiarity with different Machine Learning approaches

• Development of Classification algorithms, and their application to scientific data

• Advanced high-performance computing techniques

• Increased level of MATLAB programming

• Presentation of work to non-experts Qualifications:

• Proficient in MATLAB

• Experience with high-performance computing

• Desire to become familiar with Machine Learning

• Effective oral and written management communication skills

Research should be carried out between 12th June and 4th August (inclusive). Appointments are flexible, and can be from 2 - 8 weeks, 10 - 40 hours per week.

The rate of pay will be $17.29 per hour, the Denver city minimum wage.

Please send a CV and short statement expressing 1) why you are interested in this position, 2) how you meet the suggested qualifications, and 3) the impact this position could have on your future goals to Kathryn Hamilton (kathryn.r.hamilton@ucdenver.edu) by 11:59pm on Saturday 3rd June.