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Assistant Professor of Computer Science

Juniata College
Pennsylvania, United States
Salary Not Specified
Posted Date
Nov 7, 2022
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Posting Details

Position Information

Job Title
Assistant Professor of Computer Science

Posting Number

Pay Rate

Position Type

Position Summary Information

Key Responsibilities

Juniata College, a nationally ranked liberal arts college of 1300 students located in the scenic Allegheny Mountains of central Pennsylvania, invites applications for the tenure-track position of Assistant Professor of Computer Science beginning August 2023. Computer science is a growing program at Juniata with lots of student interest. We seek individuals who have a genuine interest in teaching computer science and data science within the small liberal arts college environment.

Teaching responsibilities will include some combination of introductory courses, upper-level undergraduate courses, and courses in the Master in Data Science program. Teaching may include various topics in computer science, data acquisition, visualization, machine learning, artificial intelligence, and big data. The teaching load for this position will be 21 credit hours per academic year.

Juniata College is committed to cultivating an equity-minded and equity-engaged campus culture, one that is inclusive and supportive of its students, faculty, and staff. We believe that all members of the College community share the responsibility to engage, sustain, and leverage an interconnected learning environment in which difference is valued, equity is sought, and a sense of belonging is explicit. Juniata’s strategic mission promotes diversity in every expression, and amplifies the College’s commitment to equity, diversity, inclusion and access. We aim to evolve into a more global, equitable and ethical community, where all Juniatians live a life of inclusive belonging needed for becoming leaders who value and embrace human interconnectedness and dignity. Juniata invites and welcomes applicants from diverse backgrounds and perspectives.AA/ EOE

Position Qualifications

Preferably, candidates will have a Ph.D. (by the time of appointment) in Computer Science, Data Science, or a closely related field. Teaching experience or promise of excellence in teaching is preferred. We strongly encourage applications from candidates who can demonstrate through their teaching or scholarship that they can contribute to the diversity and inclusive excellence of our community.

Supervision Required/Given

This position reports to the Department Chair of Information Technology and Computer Science.

Preferred Qualifications

Physical Demands

Special Instructions to Applicants

The committee will begin reading applications on December 15 with applications received by that date receiving full consideration. Position is pending final budget approval.

To promote and sustain the health and safety of our campus community, Juniata College has adopted a Covid-19 vaccine mandate for all Faculty, staff and students. Exemptions to this mandate will be considered for bona fide medical and religious reasons. *Bivalent boosters are strongly encouraged.

Posting Detail Information

Open Date

Close Date

Open Until Filled
Posting Specific Questions

Required fields are indicated with an asterisk (*).

  1. * How did you hear about this employment opportunity?
    • Walk-In
    • Government Employment Agency
    • Private Employment Agency
    • Employee (please explain in follow up question)
    • Relative (please explain in follow up question)
    • School
    • Advertisement - Source (please explain in follow up question)
    • Other (please explain in follow up question)
  2. If you were referred by a person, advertisement or other, please explain here:

    (Open Ended Question)

Applicant Documents
Required Documents
  1. Cover Letter
  2. Transcripts
  3. Curriculum Vitae
  4. List of 3 References
Optional Documents
  1. Letter of Recommendation 1
  2. Letter of Recommendation 2
  3. Letter of Recommendation 3
  4. Teaching Evaluations
  5. Additional Document 1
  6. Additional Document 2
  7. Additional Document 3

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