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Assistant Professor

Job in Starkville, Oktibbeha County, Mississippi, 39760, USA
Listing for: Mississippi State University (MS)
Full Time position
Listed on 2026-02-17
Job specializations:
  • IT/Tech
    Data Science Manager, Data Scientist, Data Analyst, AI Engineer
Job Description & How to Apply Below
Position Function:

The Data Science Academic Institute at Mississippi State University seeks a full-time, 9-month, tenure track Assistant Professor in Computing for Data Science and Applied AI beginning August 16, 2026.

Salary Grade: UC

For salary grade UC, these positions are "Unclassified" and salary ranges are determined by the hiring department.

Department Profile:

Data science explores and advances methods, systems, and processes to represent the world as data objects; extract insights about the world from these data objects and turn these insights into discoveries, decisions, and actions; and create AI systems to perform tasks that have historically required human cognition and human decision-making abilities. MSU's approach to Data Science goes beyond data analytics and embraces a vision in which data become the power behind the digital transformation of every field of human endeavor.

The Data Science program is organized within the College of Integrative Studies (https://(Use the "Apply for this Job" box below).) and its academic programs are overseen by an intercollege data science committee. Data Science at Mississippi State offers a B.S. in Data Science (with 11 concentration areas), an undergraduate minor, a Graduate Certificate in Data Science Pedagogy, and a Master of Applied Data Science. Eleven bachelor's concentrations have been created by MSU's colleges that offer students the ability to apply Data Science knowledge and skills within specific fields.

Current concentrations include:

* Biomedical Informatics

* Business Information Systems

* Computational Agriculture and Natural Resources

* Computational Intelligence

* Geoinformatics

* Marketing and Supply Chain Analytics

* Psychoinformatics

* Social Data Analytics

* Sports Science

* Statistical Modeling

* Visualization and Visual Analytics for the Built Environment

A concentration in Quantum Computing is currently under development.

Mississippi State University is a comprehensive Carnegie R1 "Very High Research Activity" campus and a top 100 university by research expenditure. The campus is situated in a small, cultured community boasting an exceptional standard of living (). Within a short drive of Starkville are more than 120,000 acres of state and federal natural areas, with abundant opportunities for research and recreation.

This includes the Sam

D. Hamilton Noxubee National Wildlife Refuge (https://), and the Tombigbee National Forest. We are Mississippi's land-grant institution and principal research university with an enrollment of over 23,000 students.

Area of Specialization:

High-Performance Computing, Cloud Computing, and Quantum Computing for Data Science and Applied AI

Anticipated Appointment Date:

August 16, 2026

Tenure Track Status:

Tenure-Track

Essential Duties and Responsibilities:

The new faculty member will teach in-person and online undergraduate and graduate courses, including courses in the specialty area of computing for data science and applied AI. Courses will include a hands-on lab course in Cloud, Quantum and High-Performance Computing. Teaching assignments often include the support of graduate teaching assistants. The successful applicants will maintain a program of scholarly research, apply for external funding, teach undergraduates and graduate courses, and supervise graduate students.

There will be opportunities for additional teaching or research employment in the summer related to data science and high-performance computing.

Minimum Qualifications:

Ph.D. in a relevant discipline; instructional experience at the university or community college level; excellent communication and organizational skills; experience with data wrangling, statistical analysis, and implementing machine learning and deep learning models in Python; experience with GPU, cloud, and high-performance computing; and familiarity with common instructional technologies.

Preferred Qualifications:

Ph.D. in Statistics, Data Science, a computationally intensive natural science, Computer Engineering, or Computer Science. Multiple years of instructional experience at the university level. Preference will be given to candidates who demonstrate evidence of teaching excellence, experience in curriculum development, and a track record of innovative research and scholarship that leverages cloud and high-performance computing. The position would also benefit from experience with and interest in quantum computing.

Knowledge, Skills, and Abilities:

Excellent interpersonal, oral, and written communication skills. Strong organizational skills. Demonstrated ability to use Python for data wrangling and training machine learning and deep learning models.

Experience with the management of the data lifecycle including implementation of data pipelines that include acquisition, storage, augmentation, and processing of data. Ability to create instructional materials and tutorials.

Working Conditions and Physical Effort

Work takes place in a traditional…
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