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Description
Professional Practice Professor, Open Rank
The Ohio State University
Columbus, OH
Department:
Engineering | Computer Science and Engineering
The position will be affiliated with the Center for Software Innovation (CSI) and the Integrated Business & Engineering Honors Program, Software Innovation track (IBE-SI). The Center for Software Innovation (CSI) at The Ohio State University was established by a generous $110M gift from the Timashev Family Foundation, the largest single donation in Ohio State’s history. The Center is positioning the University and Ohio to be the epicenter for growth in the rapidly expanding global digital economy. It seeks to equip innovators with the skills, tools, and resources to build the digital economy and enable student education and access to the principles and practices of software innovation. The Integrated Business and Engineering (IBE) Honors Program is a challenging four-year program designed to help prepare the next generation of business and technology leaders to operate effectively across business and technical domains, and to learn an interdisciplinary approach to problem solving.
We will consider all qualified applicants with expertise in software engineering and related areas, who can teach courses on a broad range of software-related topics. Examples of such courses are included below, for reference:
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
We are seeking candidates who would also be interested in development and teaching of 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, as well as interest and ability to lead curriculum and degree program development.
This position is also aligned with the University’s AI fluency initiative, whereby each student will be fluent in AI as it applies to their field (https://oaa.osu.edu/ai-fluency). Experience with AI-assisted coding techniques is desired.
Faculty members aligned with CSI, are also expected to participate in a variety of scholarly activities that contribute to the CSI mission's overall success. Examples of such activities include:
- Meeting with industry partners, individuals, and focus groups to understand the skillset students need for a successful career in their field.
- Collaborate 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.
- 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 in 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
Required:
- 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 but not limited to automated code generation, intelligent debugging and de-obfuscation, 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 external and internal colleagues and interdisciplinary teams.
- Independence and Initiative: We value individuals who can work independently and are proactive self-starters with strong project leadership skills.
- Innovative Thinking: The candidate should be open to sharing ideas, continuously learning, and displaying innovative thinking.
Associate/Full Appointment
- Proven Leadership and Collaboration: We seek individuals with a demonstrated track record of leadership and collaboration in a professional environment.
- Advanced Teaching and Mentoring Skills: The candidate should possess advanced teaching and mentoring skills within a professional context.
- Communication Skills: Excellent interpersonal and communication skills are required, with a focus on working constructively, decisively, and collegially with both external and internal colleagues and interdisciplinary teams.
- Proven independence and Initiative: We value individuals who can work independently and are proactive self-starters with strong project leadership skills.
- Innovative Thinking: A successful candidate will display innovative thinking, be open to sharing ideas, and have a willingness to continuously learn.
How to Apply
Review of applications will begin on November 1, 2025.
https://osu.wd1.myworkdayjobs.com/en-US/OSUCareers/details/Professional-Practice-Professor--Open-Rank_R138056-1?q=R138056
The university is an equal opportunity employer, including veterans/disability.
