Professor of Data Science
Denton
University of North Texas System
Title: Professor of Data Science
Employee Classification: Professor
Campus: University of North Texas
Division: UNT-Provost
SubDivision-Department: UNT-College of Information
Department: UNT-Information Science-133310
Job Location: Denton
Salary: Varies based on experience.
FTE: 1.00
Retirement Eligibility: ORP Eligible
About Us - Values Overview:
Welcome to the University of North Texas System. The UNT System includes the University of North Texas in Denton and Frisco, the University of North Texas at Dallas and UNT Dallas College of Law, and the University of North Texas Health Science Center at Fort Worth. We are the only university system based exclusively in the robust Dallas-Fort Worth region. We are growing with the North Texas region, employing more than 14,000 employees, educating a record 49,000+ students across our system, and awarding nearly 12,000 degrees each year. We are one team comprised of individuals who are committed to excellence, curiosity and innovation. We are transforming lives and creating economic opportunity through education. We champion a people-first values-based culture where We Care about each other and those we serve. We believe that we are Better Together because we foster an inclusive environment of respect, belonging, and access for all. We demonstrate Courageous Integrity through setting exceptional standards and acting in the best interest of our communities. We are encouraged to Be Curious about opportunities for learning, creating, discovering, and innovating, and are encouraged to learn from failure. Show Your Fire by joining our team and exhibiting your passion and pride in your work as part of our UNT System team. Learn more about the UNT System and how we live our values at www.UNTSystem.edu.Department Summary
The Department of Information Science, one of three departments in the College of Information, promotes the understanding of, access to and use of data and information through teaching, research and service activities. The department prepares data and information professionals of the highest quality to serve in dynamic roles locally, nationally and globally. Faculty members of the department measure their success by the success of their students and the quality of intellectual contributions to the profession and society. The Department offers two bachelor’s degrees, four master's degrees, postmaster’s certificates, and a doctoral degree in Information Science. Detailed information about the department can be found at https://informationscience.unt.edu/.
UNT has a highly diverse campus with a wide range of languages spoken in addition to English. We welcome candidates who have experience with HSI/MSIs and/or who speak Spanish, Vietnamese, American Sign Language, Chinese (Cantonese, Mandarin and other variations), Arabic, Tagalog, Farsi, French, or/and Yoruba.
Position Overview
The Department of Information Science at the University of North Texas (UNT) invites applications for a tenured Professor of Data Science position. Position will begin on Fall semester 2025. We are seeking exceptional candidates with interests in a wide range of topics within the foundations and applications of data science, machine learning, data visualization, artificial intelligence, and computational foundations of data science. The candidate will teach, conduct research, and provide service in an academic position in Data Science. The candidate must demonstrate a record of research accomplishments and have the ability to design and deliver courses in a variety of formats, including in-person, online and hybrid modalities in Data Science. The candidate is expected to teach Data Science undergraduate, graduate, and doctoral level courses and advise students in Data Science research. They are expected to work closely with graduate students and to serve on dissertation committees. The candidates will be expected to have outstanding academic credentials that demonstrate their ability to conduct independent world-class research and attract external funding.
This is a nine month, full-time, tenure-track position. We seek candidates who will provide inspiration and leadership in research and teaching, who can leverage the strengths of the department’s dynamic faculty and programs, and who will build collaborative relationships in the University and profession.
Minimum Qualifications
An earned doctorate in Data Science, Machine Learning, Artificial Intelligence, Computer Science and Engineering, Software Engineering, or other related fields at the time of appointment.
Preferred Qualifications
Ability to communicate and teach courses in person and online.
Required License/Registration/Certifications
Work Schedule:
varies based on assignment
Driving University Vehicle:
No
Security Sensitive:
This is a Security Sensitive Position.
Special Instructions:
Please upload three sample publications.
Benefits:
For information regarding our Benefits, click here.
EEO Statement:
The University of North Texas System is firmly committed to equal opportunity and does not permit -- and takes actions to prevent -- discrimination, harassment (including sexual violence) and retaliation on the basis of race, color, religion, national origin, sex, sexual orientation, gender identity or expression, age, disability, genetic information, or veteran status in its application and admission processes, educational programs and activities, facilities and employment practices. The University of North Texas System immediately investigates complaints of discrimination and takes remedial action when appropriate. The University of North Texas System also takes actions to prevent retaliation against individuals who oppose any form of harassment or discriminatory practice, file a charge or report, or testify, assist or participate in an investigative proceeding or hearing.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Classification Computer Science Data visualization Engineering Machine Learning Research Security Teaching
Perks/benefits: Career development Health care
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