Texas A&M University, Department of Statistics

Position ID:

TAMU-Department of Statistics-APT [#29090]

Position Title:

Academic Professional Track Faculty (Non-Tenure): Instructional Assistant Professor and Knowledge Development Fellow (TAMIDS)

Position Type:

Non tenure-track faculty

Position Location:

College Station, Texas 77843, United States of America

Subject Area:

Statistics / Data Science

Appl Deadline:

(posted 2024/10/30, listed until 2025/04/30)

Position Description:

The Department of Statistics (STAT) in the College of Arts & Sciences at Texas A&M University seeks one Academic Professional Track (APT) faculty position for appointment of Instructional Assistant Professor and will begin on August 1, 2025. This position also includes an administrative appointment as Knowledge Development Fellow with the Texas A&M Institute of Data Science (TAMIDS). This is a non-tenure accruing, full-time, 9-month appointment. Duties and responsibilities for this position will be split 50/50 between STAT and TAMIDS. Statistics duties will include teaching 3 courses per academic year for both undergraduate and M.S. level courses as well as committee service that will complement or balance teaching duties and/or curriculum development. Duties for TAMIDS will include an administrative appointment as Knowledge Development Fellow, with an initial term of three years. The Knowledge Development Fellow will conduct training, consultancy, and educational research activities in Data Science under the direction of the TAMIDS Director within the TAMIDS Knowledge Development Laboratory u.tamu.edu/Knowledge-Lab. They will be responsible for delivering and developing short courses in Data Science for workforce and skills development; organizing and mentoring within TAMIDS student training and engagement programs; conducting consultancy and mentoring student consultants, as well as collaboratively developing research proposals related to and arising from these activities. This jointly supported position will help broaden collaboration between STAT and TAMIDS, and strengthen the STAT role in the ecosystem for Data Science and AI at Texas A&M. Successful applicants must have a doctorate in Statistics, Data Science, or related field and previous experience in teaching at the undergraduate level is required. Interested applicants should send a cover letter, current CV, contact information for three (3) references, and a personal statement to include philosophy and plans for research, teaching and service, as applicable. To apply, please visit apply.interfolio.com/156662. Review of applicants will begin immediately. For questions, email inquiries to Dr. Alan Dabney, Search Committee Chair, at hiring@stat.tamu.edu.

We are not accepting applications for this job through AcademicJobsOnline.Org right now. Please apply.interfolio.com/156662.

Email: email address

Postal Mail:

: Texas A&M University
Department of Statistics
MS 3143
College Station, TX 77843

Web Page: www.stat.tamu.edu