Campus

LANGSTON

Contact Name & Email

Nika Wilson, luhumanresources@langston.edu

Work Schedule

Monday through Friday, 8:00am-5:00p

Appointment Length

Regular Continuous/Until Further Notice

Hiring Range

$50,000 - $55,000

Priority Application Date

Resumes will be accepted until the position is filled.

Special Instructions to Applicants

For full consideration, please include a resume, cover letter and contact information for three professional references

About this Position

Langston University is seeking a full-time assistant professor in the Department of Mathematics. The successful candidate will join a team committed to academic excellence, student success, and meaningful research engagement. The anticipated start date is Fall 2024.

Essential Duties and Responsibilities

• Teach a minimum of 12 credit hours per semester across a range of undergraduate mathematics courses

• Advise and mentor undergraduate students

• Pursue grants and external funding to strengthen departmental research and support student opportunities

• Participate in departmental, school, and university committees and initiatives

• Contribute to departmental planning and development

• Maintain an active research agenda, preferably one that includes undergraduate student involvement

• Integrate technology and current teaching methods into instructional delivery

Required Qualifications

• Ph.D./Ed.D.
  • Mathematics or Statistics (ABD candidates will be considered)
  (degree must be conferred on or before agreed upon start date)

  • Demonstrated potential or experience in college-level teaching

Skills, Proficiencies, and/or Knowledge:

• Ability to teach courses such as linear and abstract algebra, statistics, geometry, calculus, and related subjects

Preferred Qualifications

• Experience with online or hybrid teaching

• Effective use of instructional technology

• Interest in mentoring undergraduate research

• Ability to engage and support students from underrepresented populations

• Commitment to inclusive and innovative teaching practices