Join our research team in benchmarking a new family of information criteria designed to extract interpretable mathematical equations from data. This cutting-edge project has profound implications for scientific discovery, engineering control systems, and numerous other applications. We're seeking an undergraduate with a strong quantitative background (mathematics, physics, computer science, or engineering) who is proficient in the Julia programming language. You'll work closely with a graduate student mentor and commit at least 10 hours per week to the project. Benefits include experience with advanced computational methods, specialized programming skills, potential research publication authorship, and valuable mentorship. To apply, please send your resume, unofficial transcript or list core course grades, and relevant coursework/experience with "Equation Discovery RA Position" in the subject line.
a strong quantitative background (mathematics, physics, computer science, or engineering) who is proficient in the Julia programming language.
3-6 months
Modifying existing Julia codes to systematically benchmark a new data-driven model discovery algorithm.
