The Yale School of Management seeks applicants in the field of Quantitative Marketing for a tenure-track faculty position at the rank of Assistant Professor.

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 Computer Science, Statistics, Economics or Engineering. We are seeking applications from graduating students, post-docs and others who show exceptional promise.

Relevant methodological areas of interest for candidates from non-marketing backgrounds:

• Big Data, Machine Learning including Deep Learning, Unstructured Data (text, images, audio, video etc.), Generative Models
• High-dimensional Statistics, Statistical Machine Learning
• Econometrics of High Dimensional Data / Unstructured Data

Substantive areas of interest could include any topic relevant to the field of quantitative marketing.

The quality of research and the potential of the candidate to do marketing-relevant research is more important than an exact match with specific topics.

The selected candidate will teach MBA and PhD courses and advise and mentor students, while conducting high-quality research, and provide early demonstration of intellectual leadership in their area of study.

Appointment terms

This is a full-time, tenure-track position located at the Yale School of Management in New Haven, Connecticut. Appointments will be made for the 2023-2024 fiscal year, beginning July 1, 2023. The initial term is typically three years. Appointment as Associate Professor (untenured) is possible for experienced applicants who meet the University's qualifications for that rank.

To Apply

Applicants should submit a cover letter, curriculum vitae, job market paper, research statement (optional) and contact information for three letters of reference. Requests for references will be immediately sent via Interfolio.

Timing

Review of applications will begin on July 31, 2022 and continue until the position has been filled, or March 1, 2023. We encourage everyone to submit their applications as soon as possible to ensure maximum consideration. Only complete applications will be considered.