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Professional Practice Professor

Job in Columbus, Franklin County, Ohio, 43224, USA
Listing for: Inside Higher Ed
Full Time position
Listed on 2026-01-06
Job specializations:
  • Education / Teaching
    University Professor
Job Description & How to Apply Below
Position: Professional Practice Professor, Open Rank

Professional Practice Professor, Open Rank

Position Overview

The Department of Computer Science and Engineering (CSE) at The Ohio State University invites applications for an open rank professional practice (non‑tenure‑track) faculty appointment in the area of Software Engineering and Innovation, starting as early as Fall 2026. This position will be affiliated with the Center for Software Innovation (CSI) and the Integrated Business & Engineering Honors Program, Software Innovation track (IBE‑SI).

Potential teaching responsibilities include the following courses:

  • CSE 1224 Introduction to Computer Programming in Python
  • CSE 2221 Software I:
    Software Components
  • CSE 2231 Software II:
    Software Development and Design
  • CSE 3231 Software Engineering Techniques
  • CSE 3241 Introduction to Database Systems
  • CSE 3341 Principles of Programming Languages
  • CSE 3903 Project:
    Design, Development, and Documentation of System Software
  • ENGR 5901 Multidisciplinary Engineering Capstone Design Project 1 – Honors IBE

Applicants are also welcomed to develop and teach access‑for‑all courses in Data and in AI such as Data Wrangling, Prompt Engineering, and Introduction to Start‑Ups.

Successful candidates will demonstrate the ability to teach and mentor students at both the undergraduate and graduate level, and an interest and ability to lead curriculum and degree‑program development. The position is aligned with the University’s AI fluency initiative, whereby each student will be fluent in AI as it applies to their field.

Faculty members aligned with CSI are also expected to participate in a variety of scholarly activities:

  • Meeting with industry partners, individuals, and focus groups to understand the skillset students need for a successful career in their field.
  • Collaborating to develop hands‑on experiential learning opportunities (e.g., lectures from industry professionals, workshops focused on application, and student project development).
  • Leading or participating in learning sessions that include the broader community.
  • Providing service and support to the digital innovation ecosystem.
Performance Objectives
  • Assistant‑Level Appointment
    • Potential for excellence in teaching and in the adoption and promotion of best practices in teaching;
    • Potential for leadership in the design of course curricula and programs;
    • Potential for leadership in the support of extracurricular student activities and organizations;
    • Potential for leadership in service and education both within and outside the university.
  • Associate/Full Appointment
    • A strong record in teaching courses and in adopting and promoting best teaching practices;
    • A strong record in academic program development;
    • A strong record of service and leadership in their field;
    • A strong record of mentorship (students or employees).
Education and Experience Requirements
  • A Ph.D. in computer science, computer engineering, or a closely related computing field. Ph.D. must be completed by the time of appointment.
  • Evidence of teaching and/or mentoring teams (students or employees) in the computing field.
Desired
  • Experience with developing new courses and degree programs.
  • Experience with online teaching and programs, experiential teaching, informal learning, and/or outreach and engagement.
  • Experience with the intersection of AI and software engineering, including automated code generation, intelligent debugging, AI‑assisted code refactoring, neural program synthesis, probabilistic programming, and software testing automation.
  • A record of high‑quality research or development in the software area, gained in academia, industry, government, or national labs.
  • Clear plans to create, implement, and oversee engagement with industrial or government partners.
Skills Required For Success

Assistant Professor Appointment

  • Leadership and

    Collaboration:

    The candidate should demonstrate leadership and the ability to collaborate effectively in a professional academic setting.
  • Teaching and Mentoring:
    Experience or training in teaching and mentoring within a professional context is desirable.
  • Communication

    Skills:

    Excellent interpersonal and communication skills are required, with a focus on working constructively, decisively, and collegially with both…
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