Adjunct, Computer Science

St. Thomas University - Health Sciences and Technology

Located in sunny Miami, Florida, St. Thomas University is a private, non-profit university that offers 39 undergraduate, graduate, and postgraduate degrees at its picturesque 144-acre campus and through distance learning. Its academic offerings include one of the oldest (and most highly ranked) undergraduate programs in Sports Administration in the country. STU has been ranked #1 by U.S. News & World Report in Social Mobility for regional universities in the South, which means it takes students from the lowest financial strata and catapults them to much higher financial strata in only ten years. St. Thomas University is the only Catholic Archdiocesan-sponsored university in Florida, and one of the only eight Archdiocesan universities nationwide.

POSITION SUMMARY:

A Computer Science adjunct faculty member, teaching in either the Master of Science in Data Analytics program or the BS in Computer Science program, or both.

ESSENTIAL FUNCTIONS:

• Capable of teaching undergraduate in-person lectured Computer Science courses such as Data Structures and Algorithms, Database, Software Engineering, and programming in C , Java, and Python.

and/or

• Capable of teaching graduate in-person lectured evening courses for: Data Engineering, Data Warehousing, Applied Machine Learning, and Analytics.

REQUIRED EDUCATION AND EXPERIENCE:

• A PhD in Computer Science, Computational Science, Computer Engineering, Data Science, Statistics, or a closely related field is required for teaching in the graduate programs.
• M.S. in Computer Science, Computational Science, Computer Engineering, Data Science or a closely related field required for teaching in the undergraduate program.
• Qualified experience teaching and working with undergraduate and graduate students.

PREFERRED EDUCATION AND EXPERIENCE

• Publication track-record of teaching and conducting research in big data analytics.
• Experience with online teaching delivery.

Qualifications

POSITION QUALIFICATIONS:

• Able to program and instruct in the programming languages of R, Python, Java, C , and SQL.
• Familiarity with online computing resources and cloud technologies.
• Comfortable with several classroom technological applications

Application Instructions:

To apply, please submit the following materials:

• Resume
• Curriculum Vitae (CV)

Send all application materials to:
Dean Jeffery Plunkett and Program Chair Dr. Bernard Parenteau

bparenteau@stu.edu
jplunkett@STU.EDU

Applications will be accepted on a rolling basis until the position is filled. Priority will be given to those applying before the start of the Fall 2025 semester (August 25th).