Job Information
Texas A&M University - Faculty Academic Professional Track (Non-Tenure): Instructional Assistant Professor and Knowledge Development Fellow - Texas A&M Institute of Data Science in College Station, Texas
Academic Professional Track (Non-Tenure): Instructional Assistant Professor and Knowledge Development Fellow - Texas A&M Institute of Data Science Statistics
Location College Station, TX
Open Date 10/28/2024
Position ID 150314
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 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.
Qualifications
Successful applicants must have a doctorate in Statistics, Data Science, or related field and previous experience in teaching at the undergraduate level is required.
Application Instructions
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.