Job Details

Open Rank Professor - Atmospheric Hazards - Data Science

Position Number: 6643630
Location: Lubbock, TX
Position Type: Science - Other Science

Open Rank Professor - Atmospheric Hazards - Data Science

42556BR
Position DescriptionThe Department of Geosciences in the College of Arts & Sciences at Texas Tech University invites applications for a full-time, 9-month tenure-track, Open Rank Professor position in Atmospheric Hazards - Data Science to begin 09/01/2026.

Position Description
The Department of Geosciences in the College of Arts & Sciences at Texas Tech University invites applications for a full-time, 9-month tenure-track, Open Rank Professor position in Atmospheric Hazards - Data Science to begin 09/01/2026.

Major/Essential Functions
In line with TTU's strategic priorities to engage and empower a diverse student body, enable innovative research and creative activities, and transform lives and communities through outreach and engaged scholarship, applicants should have experience working with diverse student populations at the undergraduate and/or graduate levels within individual or across the areas of teaching, research/creative activity, and service.

Required Qualifications

Completion (by the time of appointment) of a Ph.D. in Atmospheric Sciences or a related field;
The ability to develop and sustain a vibrant, nationally recognized and externally funded research program;
A record indicative of the ability to mentor M.S. and Ph.D. students;
A documented record, or a record indicative of the ability to teach graduate and undergraduate coursework in Atmospheric Sciences within their area of expertise;
A demonstrated interest in working within a multi-disciplinary group to develop scientific, engineering and socially actionable strategies that contribute to a reduction in the impact of atmospheric hazards on society.

Preferred Qualifications
In addition to the required qualifications, individuals with the following preferred qualifications are strongly encouraged to apply:

Background in artificial intelligence/machine learning and atmospheric modeling and prediction.
Research interests that harness artificial intelligence/machine learning to advance the prediction of severe storms, flooding events and other high-impact weather hazards.
Interest in translating the scientific state of the art into operational and public safety settings, especially in multi-hazard scenarios.
Experience creating and efficiently managing very large datasets within the constraints of modern high-performance computing systems and/or cloud infrastructure.
Demonstrated success with and/or linkages to coordinated national and international artificial intelligence/machine learning and modeling initiatives.

Special Instructions to Applicant
Please include the following documents in your application:

Cover Letter
Curriculum Vitae
Three equally important statements that describe a) research experience and future goals, including a 5-year plan for establishing and maintaining a recognized and well-funded research program, b) a plan for excellence in teaching and student mentorship in research, and c) a statement of interdisciplinary vision related to Texas Tech's Atmospheric Hazards strategic initiative.
The name and contact information of up to 4 colleagues who may be willing to provide a letter of recommendation.

Questions about this position should be directed to Dr. Brian Ancell, Search Committee Chair at brian.ancell@ttu.edu.

To apply, visit workattexastech.com

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, genetic information or status as a protected veteran.