
Assistant Professor
- Nashville, TN
- Permanent
- Full-time
- 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
- Ability to lead and supervise students in academic research utilizing artificial intelligence and machine learning techniques.
- Keep abreast of development in your field by reading current literature, collaborating 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.
- Serve on academic or administrative committees that deal with institutional policies, departmental matters, and academic issues.
- Participate in campus and community events
- Use of mainstream programming languages for data science, including Python, Java, and C++.
- Use of “other” potential programming languages including R, Scala, Julia, TensorFlow, Go, Spark.
- Excellent written and verbal communication skills.
- Excellent interpersonal communication skills.
- Sound judgment and maturity, exemplified by consistent professionalism in working with
- Earned doctorate degree in computer science or data science with emphasis in artificial intelligence, machine learning techniques, and cybersecurity.
- At least 3 years of successful teaching experience is preferred, but applicants with the desire to develop expertise in teaching and mentoring are also invited to apply.
- Publication track record commensurate with career path history timeline.
- Ability to develop, lead, and obtain external funding in research within 4 years.