The researcher will work in the group of Prof. Jonathan Weare on development and mathematical analysis of random algorithms for the extreme (or infinite dimensional) linear system solve. Examples of applications where such problems arise include spectral analysis of massive data sets, analysis of short simulation data from high dimensional stochastic processes, and electronic structure problems. The candidate's primary focus will be to help establish convergence bounds for the algorithms with an eye toward understanding when they do (or do not) provide performance improvements over deterministic approaches. Ph.D. in mathematics, applied mathematics, or statistics with research experience in probability theory and/or numerical analysis. CV/List of Publications Cover Letter/Research Statement Two references For people in the EU, click here for information on your privacy rights under GDPR: www.nyu.edu/it/gdpr NYU is an Equal Opportunity Employer and is committed to a policy of equal treatment and opportunity in every aspect of its recruitment and hiring process without regard to age, alienage, caregiver status, childbirth, citizenship status, color, creed, disability, domestic violence victim status, ethnicity, familial status, gender and/or gender identity or expression, marital status, military status, national origin, parental status, partnership status, predisposing genetic characteristics, pregnancy, race, religion, reproductive health decision making, sex, sexual orientation, unemployment status, veteran status, or any other legally protected basis. Women, racial and ethnic minorities, persons of minority sexual orientation or gender identity, individuals with disabilities, and veterans are encouraged to apply for vacant positions at all levels. Sustainability Statement NYU aims to be among the greenest urban campuses in the country and carbon neutral by 2040. Learn more at nyu.edu/sustainability