Applicants must have a Ph.D. or equivalent degree (or will earn the degree within one semester from the start of the appointment) in Quantitative Marketing or a related field such as Economics, Computer Science or Statistics. We are seeking applications from graduating students, post-docs and others who show exceptional promise.
Relevant areas of interest for candidates from non-marketing backgrounds include the following:
Economics: Industrial Organization and Developmen
Computer Science: Big Data, Machine Learning including Deep Learning, Unstructured Data involving text, images, video and other media
Statistics: High-dimensional Statistics, Statistical Machine Learning
Applicants should submit a cover letter, curriculum vitae, writing sample, research statement (optional) and contact information for at least two letters of reference. Request for references will be immediately sent via e-mail request.