Southeastern Oklahoma State University

Southeastern Oklahoma State University

Instructor

Hammond, La, USA

Sponsorship not specifiedDetected 71 days ago
Computer VisionAccessibility

About the role

  • Thank you for your interest in employment with Southeastern Louisiana University.
  • Southeastern Louisiana University's College of Science and Technology invites applications for the position of Instructor for the Computer Science Department.
  • The Computer Science Department at Southeastern Louisiana University is seeking a dedicated and passionate educator to join our faculty as an Instructor.

Requirements

  • A Master's degree required in the teaching discipline or a degree in a related field by hire date with at least eighteen hours of graduate level courses in teaching discipline
  • Applicants must have a strong commitment to teaching and service to the department and university.
  • Applications must be completed and submitted by 11:59 p.m. on the posting close date to ensure consideration.

Nice to have

  • By focusing on high-quality instruction, proactive student advising, and meaningful departmental service, you will help shape the next generation of computing professionals in a collaborative and supportive environment.
  • Copies of Transcripts (Only an unofficial transcript for the highest degree is required at
  • Official transcripts for all degrees will be required upon employment.)
  • Names and contact information for 3 references
  • Posting Close Date
  • Please Note: Applications must be completed and submitted by 11:59 p.m. on the posting close date to ensure consideration.
  • Southeastern Louisiana University is committed to fostering an environment of inclusion, respect and appreciation of differences in individuals.
  • Southeastern is also designated as a State as a Model Employer (SAME) agency and provides assistance to persons needing accommodations or with the accessibility of materials.

This listing is sourced directly from Southeastern Oklahoma State University's careers page and normalized into a canonical job model.