Description

The School of Mathematical and Statistical Sciences at Arizona State University invites applications for a full-time, non-tenure track, benefits-eligible position at the rank of Clinical Assistant Professor in the School of Mathematical and Statistical Sciences beginning August 16, 2025. Subsequent academic year renewals (Aug. 16 –May 15) are contingent upon performance, availability of resources, and the needs of the unit.

The essential duties will be to teach undergraduate data science classes (statistics, machine learning) either in-person, online, or both. In addition to instruction, the successful candidate will be expected to mentor undergraduate research/discovery projects and participate in appropriate professional service, which will include some curriculum development and advising.

 

About the School of Mathematical and Statistical Sciences (SoMSS)

 

The School offers Bachelor’s, Master’s, and Ph.D. programs in Applied Mathematics, Theoretical Mathematics, Mathematics Education, and Statistics, as well as undergraduate and Master’s programs in Actuarial Science. In addition, the School offers an interdisciplinary Bachelor’s degree program in Data Science, and participates in a cross-college Ph.D. program in Data Science.

Arizona State University, The College of Liberal Arts and Sciences, and the School of Mathematical and Statistical Sciences value our cultural and continually strive to foster a welcoming and inclusive environment. Our fully online program in Data Science serves a large population of students who might otherwise not participate in university education.  

The School has a strong interdisciplinary research profile that includes numerous opportunities for collaboration on the campus with, for example, the Fulton Schools of Engineering, the School of Earth and Space Exploration, the School of Geographical Sciences and Urban Planning, and with interdisciplinary centers and institutes, such as the Institute for Social Science Research, the College of Health Solutions, the Global Institute of Sustainability, as well as off-campus with the thriving medical and technical industries in the Phoenix region. The escalating interest in data science research throughout ASU will offer further opportunities for interdisciplinary collaboration.

The School has excellent computing resources that include individual faculty workstations, several high-performance servers and a small cluster, as well as access to the University's central computing facilities and the High-Performance Computing Initiative. More details can be found at https://math.asu.edu.


About The College of Liberal Arts and Sciences

The College of Liberal Arts and Sciences is the academic heart of Arizona State University, committed to improving communities on a local, national and global scale. We support the professional development and growth of our faculty and staff in their cutting-edge research to advance these aims. Within The College, our faculty engage with a large and curious student body, guiding them as they grow into socially aware, critical thinkers and writers able to succeed in a wide range of careers and to address the challenges of the twenty-first century. Advancing the success of our students remains our top priority. To learn more about The College of Liberal Arts and Sciences, please visit https://thecollege.asu.edu.

About Arizona State University

ASU exemplifies a new prototype for the American public research university. As articulated in the ASU Charter, ASU is a comprehensive public research university, measured not by whom it excludes, but by whom it includes and how they succeed; advancing research and discovery of public value; and assuming fundamental responsibility for the economic, social, cultural and overall health of the communities it serves.

Qualifications

Required qualifications: 

  • A Ph.D. degree in mathematics or statistics or computer science, or a closely related field by August 10, 2025
  • Demonstrated potential for excellence in-person and/or on-line instruction and student mentoring in statistics or machine learning

Desired qualifications: 

  • A documented record of excellence in classroom and/or on-line instruction and student mentoring in statistics and machine learning using R and Python as computational tools
  • Experience in curriculum development in statistics and/or machine learning in the context of applications to science and/or engineering
  • Professional experience in industry and/or industry connections.
  • Demonstrated success working with a wide range of student and/or faculty populations
  • Demonstrated commitment to working with faculty, staff, students and communities to advance the ASU Charter

Application Instructions

The application deadline is November 13, 2024 . Applications will continue to be accepted on a rolling basis for a reserve pool. Applications in the reserve pool may then be reviewed in the order in which they were received until the position is filled. Candidates will be asked to create or use an existing Interfolio Dossier to submit the following application materials:

1. A cover letter that briefly explains the candidate’s interest in the position and addresses the candidate’s commitment to ASU's Charter. 

2. A curriculum vitae.

3. A statement of teaching experience and philosophy.

4. A personal statement addressing the candidate’s research interests.

5. Four (4) confidential letters of recommendation that address teaching and academic credentials.

Applications submitted outside of Interfolio will not be considered.

For additional information regarding position specifics, please contact Tammy Palmer via email at tammy.palmer@asu.edu 

Equal Employment Opportunity Statement

A background check is required for employment. Arizona State University is a VEVRAA Federal Contractor and an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other basis protected by law.

See https://www.asu.edu/aad/manuals/acd/acd401.html and https://www.asu.edu/titleIX/.

In compliance with federal law, ASU prepares an annual report on campus security and fire safety programs and resources.  ASU’s Annual Security and Fire Safety Report is available online at https://www.asu.edu/police/PDFs/ASU-Clery-Report.pdf  You may request a hard copy of the report by contacting the ASU Police Department at 480-965-3456.

Location

Tempe campus

Job Overview
Job Posted:
2 months ago
Job Expires:
Job Type
Full Time

Share This Job: