About The Position

Berea College's Department of Computer Science is seeking to fill two full-time faculty positions beginning August 2027: a tenure-track Assistant Professor and a 3-Year Post-Graduate, Post-Doctoral, or Visiting Assistant Professor. These roles support the department's growth and its commitment to an interdisciplinary, liberal arts-grounded computing program. The department emphasizes active learning, inclusive pedagogy, and connecting computing to human, ethical, and societal contexts. Successful candidates will be enthusiastic about teaching, mentoring, and scholarship. The department values small class sizes, close student-faculty interaction, and supporting students from diverse backgrounds, including those historically underrepresented in computing. Faculty will have the flexibility to teach across the undergraduate curriculum, develop specialized courses, utilize new facilities in the Computing, Media, and IT building, and conduct research with undergraduate students. All areas of computing are welcome, with a particular interest in artificial intelligence, machine learning, cybersecurity, data science, and computer science education. A key aspect of these roles involves supervising, mentoring, and developing students within Berea's distinctive Work College Program, aligning with the college's tenure and promotion criteria and fostering student learning and career readiness.

Requirements

  • Terminal degree by August 2027 in computer science or a closely related field (for tenure-track position)
  • Master's degree in computer science or a closely related field (for three-year position)
  • Enthusiasm for teaching, mentoring, and scholarship
  • Commitment to active learning, inclusive pedagogy, and connecting computing to human, ethical, and societal contexts
  • Ability to teach across the undergraduate curriculum
  • Ability to develop courses in areas of specialization
  • Ability to pursue research with undergraduate students
  • Ability to supervise, mentor, and develop students in the Work College Program
  • Cover letter
  • Curriculum vitae
  • Teaching statement
  • Institutional transcripts
  • Contact information for three references

Nice To Haves

  • Experience in areas of strong student demand, including artificial intelligence, machine learning, cybersecurity, data science, and computer science education

Responsibilities

  • Teaching across the undergraduate curriculum
  • Developing courses in areas of specialization
  • Pursuing research with undergraduate students
  • Supervising, mentoring, and developing students in the College's integrated Work College Program
  • Connecting student work-learning-service experiences with broader academic, professional, and personal development

Benefits

  • Fully funded degree covering 100% of tuition, housing, food, supplies, and fees without loans for all four years
  • Support for developing courses
  • Use of highly flexible spaces in the new Computing, Media, and IT building
  • Support for pursuing research with undergraduate students
  • Developmental framework for student learning within the Work College Program
  • Role-specific training for faculty and staff mentors in the Work College Program
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