Assistant Professor - Data Science
Listed on 2026-01-12
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Education / Teaching
University Professor, Academic
Job Title: Assistant Professor – Data Science
Location: Valdosta State University, Valdosta, GA
Employment Type: Regular, Full‑Time
Job : 290197
About UsValdosta State University (VSU) is a comprehensive institution of the University System of Georgia. It is a welcoming, aware, and vibrant community founded on and dedicated to serving our communities' rich and diverse heritages. Through excellence in teaching, basic and applied research, and service, VSU provides rigorous programs and opportunities that enrich our students, our university, and our region. The VSU mission includes a student mission, university mission, and regional mission.
The university is equally dedicated to the core values of community, including a commitment to practice civility, integrity, and citizenship. As members of this community and proud Blazers, we strive to uphold these core values for the advancement of the University, as stated in the Blazer Creed and reflected in our commitment to the University System of Georgia's Core Values.
Creed
Valdosta State University is a learning environment based on trust and mutual respect in which open dialogue, vigorous debate, and the free exchange of ideas are welcome. The university is equally dedicated to the core values of community, including a commitment to practice civility, integrity, and citizenship. As members of this community, and proud Blazers, we will strive to uphold these core values for the advancement of the University.
Job SummaryBased on the recent Proclamation:
Restriction on Entry of Certain Nonimmigrant Workers (H-1B), VSU will not be sponsoring any new H-1B visa petitions until further notice. The Department of Data Science seeks applicants for a tenure‑track faculty position beginning August 1, 2026. The selected candidate will be responsible for teaching courses in Data Science, Physics, Atmospheric Physics, and related fields, maintaining scholarly productivity, and participating in service at the department, college, and university levels.
The Department of Data Science consists of 14 full‑time faculty, including 9 tenured members, in a range of research areas such as applied mathematics, statistics, data science, astronomy, and physics. It offers a BS in Data Science with concentrations in Business Analytics, Supply Chain & Logistics, Computational Science & Engineering, and is developing additional concentrations. Faculty routinely mentor undergraduate research and are encouraged to collaborate across the campus.
ResponsibilitiesThe successful candidate will teach a 4/4 course load during the academic year, contribute to the design and development of new undergraduate physics and atmospheric physics courses supporting Data Science concentrations, conduct an active research agenda that results in peer‑reviewed publications, and provide service to the department, college, university, and regional business community.
Typical Allocation of DutiesTeaching and Scholarship – 80%
Teaching classes and conducting or presenting research in the employee’s discipline.
Service – 20%
Participation in departmental, college, and university service.
- Terminal degree at the time of appointment in data science, physics, atmospheric physics, or a related applied field.
- Significant background in Data Science and related fields.
- Demonstrated commitment to excellence in teaching and learning, as well as scholarship.
- A record of effective teaching appropriate to the applicant's career stage.
- Ability to work effectively in a collaborative setting.
- A record of mentoring students.
Commensurate with experience.
USG Core ValuesThe University System of Georgia’s core values are Integrity, Excellence, Accountability, and Respect. These values serve as the foundation for all that we do, and each member of the community is responsible for demonstrating and upholding these standards.
Application Materials- Curriculum Vitae (CV).
- Cover Letter.
- Statement of teaching philosophy.
- Statement of current and future research.
- Unofficial transcripts.
- List of three professional references including phone number and email address.
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