The Dr. Bing Zhang Department of Statistics at the University of Kentucky in Lexington, Kentucky, seeks applications for a full-time, tenure-track, Assistant Professor to begin August 2022. This position is open to candidates in any area of statistics, data science, and/or probability. A Ph.D. in Statistics or a related field is required. Demonstrated excellence in both teaching and research is required. More experienced candidates may be eligible to receive prior service credit toward promotion and tenure, as appropriate.
Applicants must include the following:
Teaching Statement (upload as Specific Request 1)
Research Statement (upload as Specific Request 2)
Statement on Inclusivity (upload as Specific Request 3).
As a department and university, we are strongly committed to creating an inclusive and effective teaching, learning, and working environment for all. In one to two pages, applicants should reflect on their commitments, approaches, and insights related to inclusion, diversity, and equity.
Also provide the names and contact information for three references when prompted in the academic profile. This information may be utilized to solicit recommendation letters from your references within the employment system.
The selection process will begin December 1, 2021 and continue until the position is filled.
The Dr. Bing Zhang Department of Statistics offers a stimulating and nurturing academic environment. The faculty are involved in theoretical, methodological, and interdisciplinary research. They direct research programs across a broad range of areas, including bioinformatics, computational statistics, nonparametric methods, applied probability, and high-dimensional inference. The Department annually enrolls over 50 supported graduate students pursuing PhD and master’s degrees in Statistics, specializing in mathematical statistics or biostatistics tracks.
For more information about the Department, please visit http://stat.as.uky.edu.
Ph.D. in Statistics or a related field.
Demonstrated excellence in both teaching and research