|Hiring Department||Mathematics Statistics (869A)|
|Academic Location||College of Arts & Sciences|
|Campus||Main - Albuquerque, NM|
|Benefits Eligible||The University of New Mexico provides a comprehensive package of benefits including medical, dental, vision, and life insurance. In addition, UNM offers educational benefits through the tuition remission and dependent education programs. See the Benefits home page for more information.|
The Department anticipates appointment of an Assistant Professor in Statistics beginning Fall 2020. A Ph.D. in statistics, biostatistics, or a closely related field by the date of appointment is required.
To apply, visit the UNMJobs website: https://hr.unm.edu/unmjobs, reference Requisition req10584. See http://www.math.unm.edu for additional information.
The Department seeks to hire for a full-time probationary appointment leading to a tenure decision as an Assistant Professor in Statistics to begin August 01, 2020. The Department expects to hire a specialist in Statistics and is open to various theoretical and methodological approaches, although preference will be given to those candidates who can help expand the groups interactions with other departments and/or local laboratories and industry. The ability to collaborate and interact with others is also desirable.
The faculty member will be expected to teach courses at the undergraduate and graduate level in Statistics. We are especially interested in candidates who can contribute to diversity through their teaching, research, and service. Advising graduate students in Statistics is an expectation.
The primary assignments are to teach required courses at the undergraduate level such as Introduction to Statistics, Elements of Mathematical Statistics and Probability, as well as more advanced topics in statistics; and to conduct research in the field of Statistics. Currently, there are not enough faculty in the department to fill this role. Statistics is one of our three graduate curricula and research concentrations and is essential for the mission of the Department and the University.
· A Ph.D. in statistics or biostatistics, or a closely related field by the appointment start date.
- A commitment to establishing a strong research program with an emerging national/international reputation.
- A demonstrated or potential publication record in recognized premier journals.
- An interest in research interactions with the Statistics faculty.
- A commitment to excellence in statistics and probability education at the undergraduate through graduate level.
- Potential for service to the Statistics Program and Department.
· Demonstrated commitment to diversity, equity, inclusion, and student success, as well as working with broadly diverse communities.
|Application Instructions||A complete application consists of an application cover letter, curriculum vitae, a description of research interests and a teaching statement. Applicants must also arrange for three letters of recommendation to be sent by surface mail to: Department of Mathematics and Statistics, Statistics Search Committee, 1 University of New Mexico, MSC01 1115, Albuquerque, NM, 87131.
For best consideration, completed applications should be received by November 15, 2019. Applications without three letters of recommendation will not be considered. The Applicant is required to provide official certification of successful completion of all degree requirements prior to her/his initial employment with UNM.
Applicants who are appointed to a UNM faculty position are required to provide an official certification of successful completion of all degree requirements prior to their initial employment with UNM.
|For Best Consideration||For best consideration, please apply by 11/15/2019. This position will remain open until filled.|
The University of New Mexico is committed to hiring and retaining a diverse workforce. We are an Equal Opportunity Employer, making decisions without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, veteran status, disability, or any other protected class.
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