Assistant Professor for Marketing – AI: University of Florida (77209) | University of Florida

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Gainesville, Florida, Position Details
Position Title
Assistant Professor for Marketing – AI: University of Florida (77209)
Administration: 17080000 – BA-MARKETING
Location
Gainesville, FL 32611
Position Type
Tenure-Track Faculty
Position URL
https://dossier.interfolio.com/apply/90235
*ALL APPLICANTS MUST APPLY THROUGH THE INTERFOLIO WEBPAGE LINK: 
https://dossier.interfolio.com/apply/90235
 
Position Description
Location
Gainesville, FL
Open Date
Jul 9, 2021
Description
The Marketing Department in the Warrington College of Business at the University of Florida seeks to fill a tenure-track position at the level of Assistant Professor.  The position is targeted at highly-trained researchers who seek to publish in scholarly, A-level marketing journals. We are targeting researchers with interests in marketing analytics, artificial intelligence applications in marketing, machine learning methods for solving marketing problems, statistical learning implementations, marketing models, and related tools for data analysis, decision-making and scientific inquiry involving marketing problems. Our applicants should specifically have an interest in teaching marketing analytics, artificial intelligence in marketing, marketing research using big data, and related areas. The position is tenure accruing with a start date of Fall 2022. We encourage potential candidates to access the department web site at  https://warrington.ufl.edu/  to obtain more information about the department.  
This position will start in August 2022.  Salary is competitive, commensurate with education and experience.
AI@UF
Qualifications
Candidates must have a Ph.D. in an area related to the position or be expected to finish their Ph.D. by August 2022 and must have demonstrated research and teaching in the area.
Applicants should be proficient in at least one artificial intelligence or machine learning language (e.g., Python, R, SAS, MATLAB, Julia, or similar tools). Experience utilizing a research computing or cloud-based analytics environment for artificial intelligence and machine learning applications is desired, but not required.
Application Instructions
Our department currently offers undergraduate, masters and Ph.D. programs in Marketing. Applicants should upload requested information in their application including a cover letter with a curriculum vitae, three letters of recommendation, recent publications and working papers, if available, and teaching evaluations (if available).  Complete applications will be given further consideration. 
Finalist candidates will be required to provide an official transcript to the hiring department upon hire.  A transcript will not be considered “official” if a designation of “Issued to Student” is visible.  Degrees earned from an educational institution outside of the United States are required to be evaluated by a professional credentialing service provider approved by National Association of Credential Evaluation Services (NACES), which can be found at  http://www.naces.org/ .
The University of Florida is an equal opportunity institution dedicated to building a broadly diverse and inclusive faculty and staff.
Equal Employment Opportunity Statement
The University of Florida is committed to non-discrimination with respect to race, creed, color, religion, age, disability, sex, sexual orientation, gender identity and expression, marital status, national origin, political opinions or affiliations, genetic information and veteran status in all aspects of employment including recruitment, hiring, promotions, transfers, discipline, terminations, wage and salary administration, benefits, and training.
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AI@UF
 
Application Process
This institution is using Interfolio’s Faculty Search to conduct this search. Applicants to this position receive a free Dossier account and can send all application materials, including confidential letters of recommendation, free of charge.
Apply Now
  Candidates must have a Ph.D. in an area related to the position or be expected to finish their Ph.D. by August 2022 and must have demonstrated research and teaching in the area.
Applicants should be proficient in at least one artificial intelligence or machine learning language (e.g., Python, R, SAS, MATLAB, Julia, or similar tools). Experience utilizing a research computing or cloud-based analytics environment for artificial intelligence and machine learning applications is desired, but not required.

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