Assistant Professor - School of Mathematical and Statistical Sciences at Clemson University

The School of Mathematical and Statistical Sciences at Clemson University invites applications for a tenure-track faculty position starting with the Fall 2020 semester. The position will be targeted toward individuals with research applications in the medical/biological sciences, but all areas of statistics, applied probability and applied / computational mathematics will be considered (for applied / computational mathematics, a HPC background is also desirable). Targeted recruiting is at the associate/assistant professor rank, but applicants at all ranks will be considered. Candidates should have strong potential, or demonstrated capability, for effective research and teaching in the mathematical sciences. Specific desirable attributes for candidates include strong interest in: 1) collaboration with faculty members in the School; 2) collaboration with subject-matter researchers throughout the University; and 3) innovative non-traditional teaching approaches (such as for online courses offered through a new interdisciplinary graduate program in data science and analytics).

The school contains two divisions: Statistics and Operations Research, and Mathematics, and includes the areas of algebra and discrete mathematics, data science, computational mathematics, operations research, probability and mathematical statistics, and pure and applied analysis. The school offers the full range of Baccalaureate, Master’s, and Doctoral degrees. For further information regarding the school and its programs, please visit the web site http://www.math.clemson.edu.

An earned doctorate or equivalent is required for these tenure track positions. Review of applications will begin on August 1, 2019 and will continue until the position is filled. Applications received by September 30, 2019 will receive full consideration

Applicants should indicate their research specialties and interests in their cover letter. Vita, statements on teaching, research, and a one-page statement describing the candidate’s experience mentoring diverse individuals and/or how the candidate plans to contribute to the inclusive excellence of the School and three reference letters should be electronically filed using the following Interfolio URL: https://apply.interfolio.com/65341

Moreover, the University, the College of Science, and the School of Mathematical and Statistical Sciences are committed to building a community of inclusive excellence, where faculty scholars are dedicated to working and teaching in a multi-cultural environment (http://www.clemson.edu/inclusion/) We are particularly interested in receiving applications from women, underrepresented minorities, and from those who have experience and/or a commitment toward mentoring students from diverse backgrounds, as well as those who have demonstrated a commitment to understanding the challenges in promoting diversity and inclusion in Statistics. In addition, the college is supportive of the needs of dual career couples.

South Carolina’s highest-ranked national university is located at the foot of the Blue Ridge Mountains and surrounded by Lake Hartwell and the Clemson Experimental Forest. A top-25 public university with a reputation for excellence, Clemson University provides a hands-on education — in the lab, in the classroom and in the field. Academic programs lay the groundwork for innovative research, and real-world experiences carry forward to rewarding careers. This strikingly beautiful campus enjoys a temperate and pleasant climate. We welcome applications and nominations of outstanding scholar-educators to come join the Clemson Family.

The College of Science advances the life, physical, and mathematical sciences as it mobilizes curiosity-driven faculty and students through innovative academic programs and research, including transdisciplinary research at the intersection of many fields.

Clemson University is an AA/EEO employer and does not discriminate against any person or group on the basis of age, color, disability, gender, pregnancy, national origin, race, religion, sexual orientation, veteran status or genetic information.