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Assistant Professor of Computer Science​/Data Analytics

Job in Tiffin, Seneca County, Ohio, 43579, USA
Listing for: Heidelberg University
Full Time position
Listed on 2026-01-01
Job specializations:
  • Education / Teaching
    University Professor
Job Description & How to Apply Below

Assistant Professor of Computer Science/Data Analytics

Join to apply for the Assistant Professor of Computer Science/Data Analytics role at Heidelberg University

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Join to apply for the Assistant Professor of Computer Science/Data Analytics role at Heidelberg University

Heidelberg University is accepting applications for an Assistant Professor of Computer Science and Data Analytics. The successful candidate will be a generalist who can teach a wide variety of undergraduate courses in computer science, data analytics, mathematics, and closely related areas. This faculty appointment includes a full-time teaching load, office hours, advising, committee work, research, and opportunities for continued professional development.

This is a three‑year appointment with the possibility of extension.

The computer science, data analytics, and mathematics programs were recently integrated into the School of Natural Sciences and Nursing; candidates with a background in multiple disciplines who can contribute to and further develop interdisciplinary curricula are strongly encouraged to apply.

Essential Duties and Responsibilities
  • Teach a full‑time load (24 credit hours/year) which includes lecture and laboratory courses appropriate to their expertise.
  • Utilize innovative and collaborative teaching methods in support of the program’s mission and learning objectives that promote knowledge, critical thinking, and communication competency within the discipline.
  • Attend school and university faculty meetings.
  • Advise students in scheduling classes and making progress toward degree completion and career goals.
  • Advise undergraduate student research projects.
  • Contribute to school and interdisciplinary initiatives, including recruitment and retention efforts, and curriculum development.
  • Participate in University activities including but not limited to: committee assignments and activities, extra‑ and co‑curricular activities supporting student success and achievement in alignment with a liberal arts tradition, and professional development activities which personally and academically enhance a professional academic career.
  • Perform other essential duties as assigned/as outlined in the Faculty Manual.
Supervision Received

Reports directly to the Chair of the School of Natural Sciences and Nursing.

Supervision Exercised

May supervise student research conducted in the school or students working as teaching/prep assistants (TAs).

Core Values And Personal Attributes
  • Core values – models leadership values of integrity, honesty, humility, transparency, respectfulness, diversity, caring, loyalty and accountability in all work.
  • Intellectual dynamism – demonstrates mental sharpness, capability and agility.
  • Self‑knowledge – gains insight from successes and mistakes.
  • Personal learning – seeks feedback and counsel to improve managerial behavior.
  • Peer relationships – encourages collaboration and cooperation across the organization.
  • Teamwork – performs most effectively as a hard‑working member of a team.
  • Constituency focus – completes work to meet constituencies’ expectations and requirements.
  • Community focus – brings a spirit of enthusiasm and energy to the campus and town.
Requirements Education and Professional Experience
  • Master’s Degree in computer science, data analytics, or a closely related field.
  • Teaching/Instructional experience in the areas above.
  • Familiarity with small liberal arts student‑focused institutions.
Preferred Education And Experience
  • Ph.D. or ABD in computer science, data analytics, data science, or mathematics.
  • Documented background in the related instructional area.
  • Two years of college‑level teaching experience.
Necessary Knowledge, Skills, And Abilities
  • Ability to relate to a diverse cross‑section of individuals.
  • Must demonstrate analytical and strategic thinking abilities.
  • Demonstrated strong commitment to student‑centered active learning and student engagement activities.
  • Demonstrated experience, knowledge, and appreciation for a liberal arts tradition.
  • Commitment and a demonstrated record of academic excellence with professional and personal integrity.
  • Demonstrated excellent interpersonal, written, and…
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