Associate Professor or Full Professor Industrial Engineering
2 weeks ago
Position Title Associate Professor or Full Professor
Department Industrial Engineering
Location Arlington
Job Family Faculty
Position Status Full-time
Rank Open-T
Work Hours Standard
Open to External and Internal
FLSA Exempt
Duration Funding expected to continue
Pay Basis Monthly
Benefits Eligible Yes
Job Summary
The Department of Industrial, Manufacturing, & Systems Engineering (IMSE) in the College of Engineering (COE) at The University of Texas at Arlington (UTA) invites applications for an Associate or Full Professor with tenure.
This faculty member will teach classes in the IMSE Department and should have a research interest related to some aspect of data science, such as operations research, statistics, or machine learning.
Benefits at UTAWe are proud to offer a comprehensive benefits package to all our employees at the University.
To help you understand the full value of these benefits, we have created a tool that calculates the total worth of your compensation package.
This tool takes into account all of the benefits that you are eligible for, including health insurance, retirement plans, and paid time off.
To access this tool and learn more about the total value of your benefits, please click on the following link:CBC Requirement
It is the policy of The University of Texas at Arlington to conduct a criminal background check on any applicant who is under final consideration for employment with the University.
Essential Duties and ResponsibilitiesTeaching IMSE classes.
Supervising IMSE Ph.
D. students' dissertations.
Publishing research papers, including some related to data science.
Obtaining funded research to support graduate students and research activities.
Participating with the COE Center on Stochastic Modeling, Optimization, & Statistics ).
Working with other UTA departments and with other universities in collaborative research projects.
Providing leadership in the IMSE Department and the COE.
Performing typical academic duties within the University, such as advising and committee work.
Providing external professional service, such as being active in professional societies, refereeing manuscripts for journals, and reviewing grant applications for various funding agencies.
Required QualificationsA Ph.
D.
degree is required in an area related to data science, including degrees in operations research, industrial engineering, statistics, computer science, and mathematics.
Candidates should have a record of scholarship and teaching commensurate with an appointment as Associate Professor or Professor.Number of Vacancies 1
Desired Start Date 09/01/2024
Open Until Filled Yes
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