Assistant Professor - Mathematics

Texas A&M University System; Commerce (TX); On-site; USD 90,000 - 120,000; Full time

Job summary

East Texas A&M University invites applications for a tenure-track Assistant Professor in Mathematics beginning Fall 2027. We seek candidates with expertise in Statistics, Data Science, Machine Learning, or related areas.

Interdisciplinary connections to mathematics and statistics are encouraged. The successful candidate will teach undergrad and grad courses, maintain an active research program, mentor students, and contribute to service across the department, college, university, and profession.

Qualifications

• PhD in one of the related fields is required; degree must be completed before start date.
• Evidence of potential for excellence in university-level teaching and a productive research program.

Responsibilities

• Teach undergraduate and graduate courses in Mathematics, Statistics, and Data Science in multiple formats.
• Develop and expand courses and curricula in Statistics, Data Science, ML, and related areas.
• Maintain an active research program with publications and external funding opportunities.

Skills

Teaching excellence

Research potential

Education

PhD in Mathematics/Statistics/Data Science/Applied Mathematics

Job description

Job Title

Assistant Professor - Mathematics

Agency

East Texas A&M University

Department

Mathematics

Proposed Minimum Salary

Commensurate

Job Location

Commerce, Texas

Job Type

Faculty

SUMMARY:

The Department of Mathematics at East Texas A&M University invites applications for a tenure-track Assistant Professor position beginning in Fall 2027. We seek a candidate with expertise in Statistics, Data Science, Machine Learning, or a closely related area. Candidates whose research connects mathematics and statistics with interdisciplinary applications, such as mathematical biology, biostatistics, artificial intelligence, computational science, or related fields, are especially encouraged to apply.

The successful candidate will be expected to teach undergraduate and graduate courses, maintain an active research agenda, mentor students, and contribute to the service mission of the department, college, university, and profession. The department is particularly interested in candidates who can support and further develop programs in Statistics and Data Science.

DUTIES & RESPONSIBILITIES:

• Teach undergraduate and graduate courses in Mathematics, Statistics, and Data Science in face-to-face, hybrid, and online formats.
• Contribute to the development and expansion of courses and curricula in Statistics, Data Science, Machine Learning, and related areas.
• Maintain an active scholarly research program that leads to publications in peer-reviewed scholarly publications, professional presentations, and pursuit of external funding opportunities.
• Engage undergraduate and graduate students in research and mentorship.
• Advise and mentor students in academic and professional development.
• Provide service to the Department, College, University, community, and profession.
• Maintain effective, professional, and collegial relationships with faculty, students, staff, alumni, and external partners.
• Maintain on-campus office hours and participate in departmental activities.
• Serve on departmental, college, and university committees as assigned.

MINIMUM REQUIREMENTS:

Education: An earned Ph.D. in Mathematics, Statistics, Data Science, Applied Mathematics, or a closely related field (degree must be completed prior to the start date).

Experience / Knowledge / Skills: Evidence of potential for excellence in university-level teaching. Demonstrated potential to establish and sustain a productive research program.

Ability to: Ability to interact with students, staff, and faculty in a professional, collegial, and collaborative manner.

Licensing/Professional Certifications: N/A

Physical Requirements: N/A

Other Requirements: NA

PREFERRED EDUCATION / SKILLS/ EXPERIENCE:

• Research expertise in Statistics, Data Science, Machine Learning, Artificial Intelligence, Computational Mathematics, or related disciplines.
• Experience teaching Statistics, Data Science, Machine Learning, or related courses at the undergraduate and/or graduate level.
• Evidence of interdisciplinary collaboration.
• Demonstrated record of scholarly publications and professional presentations.
• Success in obtaining, or strong potential to obtain, external research funding.
• Commitment to student success, mentoring, and academic excellence.

SUPERVISION OF OTHERS:

NA

APPLICATION MATERIALS:

• Cover Letter
• Curriculum Vitae
• Statement of Teaching Philosophy
• Statement of Research Interests
• Three professional references with complete contact information (unsolicited letters of recommendation will not be considered)
• Transcripts (unofficial transcripts will be accepted with the application; official transcripts are required upon verbal offer)

All positions are security-sensitive. Applicants are subject to a criminal history investigation, and employment is contingent upon the institution’s verification of credentials and/or other information required by the institution’s procedures, including the completion of the criminal history check.

Equal Opportunity/Veterans/Disability Employer.