Position Purpose:
Assistant Clinical Professor in the Computer Science Program will teach primarily within the Computer Science development track. This track includes courses such as programming languages, software testing, database design, object-oriented design, and data structures. The ability to also teach Cybersecurity or CS/IT-track courses as departmental staffing needs require is preferred.
Core Competencies:
- Represents Aurora University in the most positive manner with prospective, former, and current students, clients, and the community we serve. Interacts effectively with a diverse group of faculty, staff, students and other customers of our service, learns and uses operating practices of the department and Aurora University.
- Upholds the Mission Statement: Aurora University is an inclusive community dedicated to the transformative power of learning. As a teaching-centered institution, we encourage undergraduate and graduate students to discover what it takes to build meaningful and examined lives. Our singular goal is to empower our students to achieve lasting personal and professional success.
- Handles all information with tact and discretion and recognizes the confidential nature of university business.
- Supports learning through performance of essential job functions and performing other duties and functions as necessary or as assigned, including voluntary participation in university committees, activities, and events.
Essential Job Functions:
- Teach 24 credits per academic year, primarily within the Computer Science development track (that is, 3–4 credit courses per semester). Core courses include but are not limited to data structures and algorithms, object-oriented design and development, database design and implementation, and programming languages. May also teach Cybersecurity or CS/IT-track courses such as Operating Systems for Administration, Computer Security, Networking, Secure Programming, and Digital Forensics, as departmental staffing needs require.
- Teach effectively through the range of learning contexts including on-ground, online, and hybrid.
- Effectively use and mentor students through the use of AI and range of LLMs.
- Participate in university service and engage in scholarship/professional activity.
- Hold weekly office hours and provide opportunities to meet with students outside of office hours.
- Advise students and, as opportunities allow, support student research and mentoring initiatives. Perform other duties as assigned.
- Participate in the CSC/CYB curriculum evolution and expansion as needed in fields such as Artificial Intelligence, Internet of Things, health/medical informatics, or big data.
- Participate in ongoing professional development activities to state up-to-date on the state of the art of the CSC/CYB field and classroom teaching and leadership.
- Engage with student organizations, recruitment, and retention initiatives.
- Attendance at University and College of Health and Science meetings and events.
- Participate in University governance committees and senate meetings.
- Participation in seminars, workshops, or conferences of professional significance.
- Present at professional local, state, regional, national, or international conferences.
Essential Job Requirements:
Education & Experience:
- Doctorate in Computer Science, Cybersecurity, or a closely related field preferred; a master's degree with substantial relevant work experience will be considered. ABD candidates will also be considered.
- Prior teaching experience preferred, including teaching or instructional experience gained during graduate study, both online and on-ground. Industry experience in software development and/or cybersecurity is valued, particularly experience spanning multiple technical areas. Strong working knowledge and skill in integrating AI into work and learning environments.
Skills:
- Proven ability to teach effectively and engage undergraduate students, consistent with AU's identity as a teaching-focused institution.
- Demonstrated breadth across multiple areas of computer science and, ideally, cybersecurity, whether through teaching, industry work, or both.
- Demonstrated use of AI in course design, instruction, or student guidance, with the ability to speak concretely to your pedagogy.
- Openness to contributing to curriculum in adjacent growth areas such as informatics, business-facing computing, or data engineering, as departmental needs evolve.
- On-ground, online, and hybrid course teaching experience and course development. 6. Sound judgment and prioritization skills.
- Excellent written, oral, and presentation communication skills.
- Ability to work independently and be dependable.
Physical Requirements:
Sitting, standing, moving about campus, computer use.