Texas A&M University TAMU Campus
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Tenured: Professor


Statistics

Location
College Station, TX
Open Date
11/8/2024
Position ID
151467
Description

The Department of Statistics in the College of Arts & Sciences at Texas A&M University invites applications one Professor position with Tenure Review Upon Hire to begin in August 2025. This position will be a full-time, 9-month appointment. The department encourages people from all areas of research to apply and is particularly interested in expertise in the broad area of Causal Statistics or Decision Theory. Evidence of interdisciplinary research and focus on computational aspects is a plus. In addition to conducting outstanding research, the successful candidate will be expected to teach undergraduate and graduate courses, supervise graduate students, and provide service to the profession. 

The Department of Statistics has a tradition of outstanding methodological, theoretical, computational, and interdisciplinary research. Current faculty members actively collaborate with colleagues within the department, throughout the university, and at many outside institutions. Excellent computing facilities are available, and highly competitive startup funding and starting salaries are anticipated.

Qualifications

A PhD/DSc degree in Statistics or a related field is required. 

Application Instructions

Interested applicants should include a cover letter, current Curriculum Vitae (CV), a personal statement to include philosophy and plans for research, teaching and service, as applicable, and three confidentail professional references.

To apply, please visit apply.interfolio.com/157713. All applications received by January 3, 2025 will receive full consideration. Applications will continue to be accepted until the position is filled. Please direct all inquiries to Dr. Anirban Bhattacharya, Search Committee Chair at hiring@stat.tamu.edu.

Equal Opportunity/Affirmative Action/Veterans/Disability Employer.

The University is aware that attracting and retaining exceptional faculty often depends on meeting the needs of two careers and therefore has a Dual Career Program.