TTU Post Doctoral Research Associate
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![]() United States, Texas, Lubbock | |
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Lubbock TTU Post Doctoral Research Associate 40976BR Civil Environ Construct Engineering Position Description Performs specialized Post Doctoral work in the planning, conducting and/or supervision of original research. Responsible for participating in a research project associated with PhD studies and the interpretation of the results of publication. Work is performed under supervision of graduate faculty members with evaluation based on accomplishment of assigned objectives and overall effectiveness of project. May supervise research and student assistants. About the University Established in 1923, Texas Tech University is a Carnegie R1 (very high research activity) Doctoral/Research-Extensive, Hispanic Serving, and state-assisted institution. Located on a beautiful 1,850-acre campus in Lubbock, a city in West Texas with a growing metropolitan-area population of over 300,000, the university enrolls over 40,000 students with 33,000 undergraduate and 7,000 graduate students. As the primary research institution in the western two-thirds of the state, Texas Tech University is home to 10 colleges, the Schools of Law and Veterinary Medicine, and the Graduate School. The flagship of the Texas Tech University System, Texas Tech is dedicated to student success by preparing learners to be ethical leaders for a diverse and globally competitive workforce. It is committed to enhancing the cultural and economic development of the state, nation, and world. About the Department and/or College The Transtech Research Laboratory in the Department of Civil, Environmental and Construction Engineering of Texas Tech University invites applications for a Postdoctoral Associate position in general traffic engineering. The candidate is expected to work with a group of highly motivated graduate and undergraduate students and take a leading role in the lab. Those who have established achievements in one or more of the following areas are welcome to apply: data-driven highway safety analysis, traffic operation and control, traffic modeling, analysis of high-resolution trajectory data, and predictive highway safety analysis. Major/Essential Functions The primary responsibility of this position is to perform research in data-driven transportation system engineering with focus on highway safety, traffic operations and control, and analysis and application of trajectory data to advanced research such as near-crash studies. The responsibilities may include but are not limited to:
Required Qualifications PhD in area of project specialization. Knowledge of modern research practices, the methods, resources, and standards thereof. Ability to organize work effectively, conceptualize and prioritize objectives and exercise independent judgment based on an understanding of organizational policies and activities. Ability to integrate resources, policies, and information for the determination of procedures, solutions and other outcomes. Ability to establish and maintain effective work relationships with other employees and the public. Ability to plan and allocate the workload of employees, providing direct training and supervision as needed. Preferred Qualifications Applicants should possess a Ph.D. in Civil Engineering or be in the final stage of completing their doctoral degree. Safety Information Adherence to robust safety practices and compliance with all applicable health and safety regulations are responsibilities of all TTU employees. Does this position work in a research laboratory? Yes Required Attachments Cover Letter, Resume / CV Job Type Full Time Pay Basis Monthly Pay Statement Compensation is commensurate upon the qualifications of the individual selected and budgetary guidelines of the hiring department, as well as the institutional pay plan. For additional information, please reference the institutional pay plan by visiting www.depts.ttu.edu/hr/payplan. Travel Required Up to 50% Shift Day Grant Funded? Yes Job Group Research Staff EEO Statement 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. |