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Visiting Assistant/Associate Professor of Computer Science

METHODIST UNIVERSITY INC
Fayetteville, NC Other
POSTED ON 4/15/2025
AVAILABLE BEFORE 6/15/2025

Job Details

Job Location:    Methodist University Location - Fayetteville, NC
Salary Range:    Undisclosed

Description

Job Title: Visiting Assistant/Associate Professor of Computer Science

Department: Computer Science

Institution / Organization: Methodist University, Fayetteville, North Carolina

Type: Visiting, Non-tenure track

Start Date: August 1, 2025

Appointment Duration: One Academic Year

Methodist University invites highly motivated candidates to join the Department of Computer Science to teach subjects in computer science and information technology.

Responsibilities:

  • Teach CS1 and/or CS2 courses with high-level programming languages such as Python, C , or Java.
  • Teach subject areas of web technologies, database management, multimedia application development.
  •  Engage students in undergraduate research opportunities.
  • Contribute to curriculum development and revision in the department.

To apply:

Qualified and interested candidates should submit the following materials to http://www.methodist.edu/positions-available

  • A letter of intent
  • Curriculum vitae
  • Statement of teaching philosophy and research interest
  • Professional references

For inquires, contact Dr. Terry House at (910) 630-7416 or thouse@methodist.edu

Review of applications will begin immediately and continue until the position is filled. Completion of the search is dependent upon available funding at the time if hire. Methodist University reserves the right to authenticate academic and professional credentials and to consult public records prior to extending offers of employment. Methodist University is an equal opportunity employer.

Qualifications


Qualifications:

  • Must have a Master’s degree with at least 18 graduate semester hours in computer science or a closely related field.
  • A Ph.D. in computer science or a closely related field is preferred.
  • Candidates with expertise in the areas of Artificial Intelligence and Machine Learning are preferred.
  • Experience teaching in fully online and hybrid classroom environment.
  • Able to engage students and foster a positive learning environment.
  • A record of research/scholarly activities.

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