Assoc Professor, Computer Science (CS & AI Emphasis)

The Associate Professor of Computer Science and Data Science will spend 62.5% of their time teaching, advising, and developing instructional methods, 27.5% on health disparities research, and 10% on institutional service.

Requirements

• Demonstrated ability to communicate effectively verbally and in writing.
• Ability to integrate technology effectively and appropriately into the teaching and learning process.
• Ability to successfully interact with students, other educators and educational institution representatives, and the public in a professional manner.
• Ability to plan, evaluate and revise curricula, course content and course materials and methods for courses within the SACS
• Maintain regularly scheduled office hours to advise and assist students
• Collaborate with colleagues to address teaching and research issues
• Assist in working on graduate internships in computer science, data science and health disparities
• Ability to lead and supervise students in academic research related to problems in health disparities utilizing artificial intelligence and machine learning techniques.
• Keep abreast of development in your field by reading current literature, talking with colleagues, and participating in professional conferences
• Develop and deploy impactful and socially-responsible scientific knowledge and practical technologies that empower society to improve the quality of life
• Ability to work collaboratively across university departments.
• Participate and lead grant writing/submission, scholarly publications in refereed journals, and research design.
• Assist in creating and eventually lead a seminar series focused on the use of computer science and data science to eliminate health disparities.
• Serve on academic or administrative committees that deal with institutional policies, departmental matters, and academic issues
• Participate in campus and community events

Benefits

• Paid vacation time
• Health insurance
• Retirement plan