EC295B – Introductory Econometrics (Winter 2027)

This position involves teaching an introductory course on the foundations of large sample econometric theory and practice, focusing on modeling data-generating procedures and analyzing the properties of least-squares and maximum-likelihood estimators. The role requires delivering in-person lectures to a class size of 72 students during the Winter 2027 term. Candidates must hold a Master's degree in Economics and are preferred to have university-level teaching experience or relevant graduate research.