Professor of Computer and Information

The Master of Science in Computer Information Sciences, offered in an executive (hybrid) format provides a strong foundation in computer science and cybersecurity. The program prepares graduates for professional practice or doctoral study through coursework that integrates data, algorithms, programming, systems, security, and software engineering. Concentrations include:

• Scientific Computing
• Software Engineering and Software Testing
• Cybersecurity
• High-Performance Computing (HPC)

The Ph.D. in Computational Sciences and Engineering is a research-oriented program emphasizing multidisciplinary training in computational methods, large-scale systems, and advanced algorithms. It serves students in science and engineering who rely on extensive computation for innovative research and advanced system design. The program integrates strong foundations in the scientific method and theory with cutting-edge computational research.

Responsibilities

The successful candidate will:

• Teach undergraduate and graduate courses in areas aligned with departmental needs and personal expertise.
• Contribute to curriculum development and continuous improvement across in-person, hybrid, and online modalities.
• Advise and mentor students at the undergraduate, master’s, and/or doctoral levels.
• Establish and sustain an active program of scholarship and/or professional engagement appropriate to rank and role.
• Participate in departmental, school, and university service.
• Contribute to a collegial, inclusive, and student-centered academic environment.

Required:

• Earned doctorate in Computer Science, Computer and Information Sciences, or a closely related field by the start date.
• Demonstrated potential for excellence in teaching.
• Strong communication skills and commitment to student success.

Preferred:

• Expertise in one or more areas such as software engineering, cybersecurity, data science, scientific computing, high-performance computing, artificial intelligence, or related fields.
• Experience teaching in online or hybrid environments.
• Evidence of scholarly activity or professional practice.
• Interest in interdisciplinary collaboration and applied, real-world problem solving.