Affordable Housing, Analysis Skills, Background Investigation, Budgeting, Conferences, Construction Engineering, Data Analysis, Disaster Recovery, Employee Relations, Environmental Engineering, Establish Priorities, Federal Laws and Regulations, Green Construction, Machine Learning, Mentoring, Microsoft Excel, Model Validation, Needs Assessment, Procedure Development, Public/Media/Press/Analyst Relations, Publications, Regulations, Research Laboratory, Research Skills, Residential Construction, Safety Compliance, Safety/Work Safety, Social Sciences, Spatial Data, State Laws and Regulations, Survey Design, Training Data Sets, Training/Teaching
Major/Essential Functions
Conduct research in data-driven housing recovery, hazard modeling and geospatial mapping, and community needs assessment
Design and administer surveys; analyze data to inform and validate models
Publish finding in peer-reviewed journals and present at academic conferences
Mentor undergraduate and graduate students; support center publications and reporting
Grant Funded?
Yes
Pay Basis
Monthly
Work Location
Lubbock
Preferred Qualifications
Demonstrated experience in working with large datasets and applying machine learning techniques, particularly in the context of disasters and disaster recovery.
Department
Civil Environ Construct Engineering
Required Attachments
Cover Letter, Professional/Personal References, Resume / CV
Job Type
Full Time
Shift
Day
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.
This position is designated as involving access to critical infrastructure systems and/or research, as defined by Texas Executive Order GA-48. As such, candidates must successfully complete a comprehensive background check prior to employment. Employees are required to comply with all applicable state and federal regulations related to the protection of critical infrastructure. Ongoing employment is dependent upon maintaining eligibility for access and successfully passing periodic security and compliance reviews.
Does this position work in a research laboratory?
No
About the Department and/or College
The HUD-funded Center of Excellence in Capacity-building for REsilient Housing (CECREH), housed within the Department of Civil, Environmental, and Construction Engineering at Texas Tech University, invites applications for a full-time, on-site Postdoctoral Associate position. The ideal candidate will have a strong background in community resilience, and housing and household disaster recovery. CECREH is a multidisciplinary consortium of six leading institutions including Texas Tech University (lead), University of Kansas, Stony Brook University, Texas A&M University at Galveston, Texas Southern University, and the University of Waterloo. Together, these institutions are developing innovative housing solutions in the context of disaster recovery and affordable housing.
The Postdoctoral Researcher (PR) will contribute to the HUD-funded CECREH by conducting research on hazard mapping, exposure simulations, and integrated models of community resilience. Under the mentorship of Dr. Ali Nejat, the PR will integrate social science perspectives into resilience research, helping to explore implications for whole-community recovery. Key responsibilities include coordinating graduate student publications, supporting interdisciplinary research tracks across the center.
The PR will play a central role in developing predictive geospatial hazard exposure models, simulating post-disaster unmet needs through techniques like agent-based modeling (ABM), and contributing to the design and analysis of surveys to inform and validate models. For more information about the role, contact Dr. Ali Nejat ali.nejat@ttu.edu directly.
Safety Information
Adherence to robust safety practices and compliance with all applicable health and safety regulations are responsibilities of all TTU employees.
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.
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.
About the University
Founded in 1923, Texas Tech University began with a mission to serve the needs of West Texas, but its impact has always reached far beyond. Today, Texas Tech, located in Lubbock (pop. 300,000+), is home to a vibrant community of more than 42,000 students.Texas Tech's 1,800-acre campus showcases Spanish Renaissance architecture and is home to one of the country's largest public art collections. Its 13 colleges include a prestigious School of Law and a distinguished School of Veterinary Medicine. These programs equip students with the skills and knowledge needed to excel in their respective fields. Built on the values of West Texas — hard work, grit and authenticity — the university graduates students who are deeply engaged in service to their communities and well-positioned to succeed in the world. Texas Tech is committed to achieving research and scholarly accomplishments that compare favorably to the member institutions of the Association of American Universities (AAU). For more than 100 years, Texas Tech has been a premier destination for those seeking a world-class education and a unique, personalized experience as a member of the Red Raider family.
Job Family
Research
Job Sub Family
Research and Scientists
Knowledge, Skills, and Abilities
Demonstrated experience in working with large datasets and applying machine learning techniques, particularly in the context of disasters and disaster recovery.
Annualized Pay Range
$48,000 - $63,700 - $78,400