Next review date: Monday, Nov 1, 2021 at 11:59pm (Pacific Time) Apply by this date to ensure full consideration by the committee.
Final date: Thursday, Mar 31, 2022 at 11:59pm (Pacific Time) Applications will continue to be accepted until this date, but those received after the review date will only be considered if the position has not yet been filled.
POSITION DESCRIPTION The University of California, Davis, Graduate School of Management (GSM) invites applications for a position in Business Analytics at the assistant, associate, and full professor level (tenure-track). Applicants whose research involves how analytics practices are used or implemented in organizations, or who use advanced data analytics techniques (e.g., machine learning, deep learning, natural language processing, computer vision, use of unstructured data in decision making, advanced big data methods, reinforcement learning) to study business operations, organizational digital transformation, insights driven decision making or dynamical processes in business in their research are preferred, but all areas of research in business analytics will be considered.
The successful candidate will join a highly active and multidisciplinary group of faculty with research spanning various aspects of Business/Economics/Analytics/Statistics. The GSM has an established an MBA program, Master in Accountancy program, as well as a Master of Science in Business Analytics. Teaching responsibilities will be in the area of statistics and/or business analytics and may span across multiple programs. Recent graduates should show strong potential for top quality, innovative, and high-impact research in Statistics/Analytics. Experienced candidates should have a record of high quality published or in-process research consistent with their experience and exhibit strong thought leadership in their respective domains. Candidates should hold a Ph.D. or expect to have completed a Ph.D. by the start of employment.
Interested individuals should complete an online application using the University of California, Davis's RECRUIT system (recruit.ucdavis.edu). Application materials include a cover letter, curriculum vitae, research, teaching, a diversity statement, evidence of research (sample publications, working paper, or dissertation), evidence of teaching effectiveness, and contact information for 3 references. The Initial Application Due Date is November 1, 2021. Applications received after November 1, 2021 and before March 31, 2022 will not be considered unless the initial search process has concluded and the position has not yet been filled. This position will remain open until filled.
Consideration will be given to applicants who have shown a commitment to educating and mentoring a diverse student body to expand opportunities and enhance personal growth, retention, and academic success. UC Davis was ranked #1 in 2016 on Forbes Magazine list of the 13 most important STEM (Science, Technology, Engineering, and Mathematics) universities for women, and is poised to qualify as a Minority Serving Institution (MSI) both as an Hispanic Serving Institution and as an Asian American and Native American Pacific Islander-Serving Institution (AANAPISI).The University of California is an affirmative action/equal opportunity employer.
The University of California is committed to creating and maintaining a community dedicated to the advancement, application, and transmission of knowledge and creative endeavors through academic
excellence, where all individuals who participate in University programs and activities can work and learn together in a safe and secure environment, free of violence, harassment, discrimination, exploitation, or intimidation. With this commitment, UC Davis conducts a reference check on all finalists for tenured positions. The reference check involves contacting the administration of the applicant's previous institution(s) to ask whether there have been substantiated findings of misconduct that would violate the University's Faculty Code of Conduct. To implement this process, UC Davis requires all applicants for any open search for assistant/associate/full professor to complete, sign, and upload the form entitled "Authorization to Release Information" into RECRUIT as part of their application. If an applicant does not include the signed authorization with the application materials, the application will be considered incomplete, and as with any incomplete application, will not receive further consideration. Although all applicants for faculty recruitment must complete the entire application, only finalists considered for positions with tenure or security of employment will be subject to reference checks.
At UC Davis, a Work Life program has been in place since January 2003. A group of Faculty Advisors for Work Life was established in 2007 to help publicize and inform the faculty about the programs, policies, and resources associated with work life/life changes. This group of advisors represents various academic units (colleges, schools, divisions) on the campus. The following summarizes the programs and updated UC policy. https://academicaffairs.ucdavis.edu/work-life
UC Davis is a smoke- and tobacco-free campus effective January 1, 2014. Smoking, the use of smokeless tobacco products, and the use of unregulated nicotine products (e-cigarettes) will be strictly prohibited on any property owned or leased by UC Davis-- indoors and outdoors, including parking lots and residential spaces.
QUALIFICATIONSBasic qualifications (required at time of application) A Ph.D. or expect to have completed a Ph.D. by the start of employment.
Preferred qualifications Applicants whose research involves how analytics practices are used or implemented in organizations, or who use advanced data analytics techniques (e.g., machine learning, deep learning, natural language processing, computer vision, use of unstructured data in decision making, advanced big data methods, reinforcement learning) to study business operations, organizational digital transformation, insights driven decision making or dynamical processes in business in their research are preferred.