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Post-Doctoral Research Associate - 2 Howard University in United States
Degree Level
Postdoc
Field of study
Signal Processing
Funding
Federally funded projects; salary range disclosed as $60,000-$70,000.
Country
United States
University
Howard University
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About this position
Howard University’s University Transportation Center is seeking a postdoctoral researcher to support projects in structural health monitoring (SHM) of transportation infrastructure. The role centers on developing and deploying sensing and data-driven approaches to assess the condition of transportation assets and improve transportation safety.
The associate will work on federally funded research that combines field deployments, large-scale time-series data processing, and advanced analysis methods for detecting damage or degradation in infrastructure systems. The position emphasizes practical research implementation and technology transfer, with opportunities to contribute to proposal writing, technical reporting, presentations, peer-reviewed publications, workshops, seminars, and public engagement activities related to transportation engineering.
Research activities include collaborating with Howard University faculty, researchers, and external partners to design, implement, and validate SHM methods. The technical scope spans system identification, structural dynamics, signal processing, and the application of statistical, machine-learning, and computer vision tools to infrastructure monitoring problems.
The postdoctoral researcher will be embedded in a research environment at Howard University’s transportation engineering community, contributing to sponsored research projects and the center’s broader mission in transportation infrastructure safety and innovation.
Funding details
Federally funded projects; salary range disclosed as $60,000-$70,000.
What's required
Ph.D. in Civil Engineering, Structural Engineering, or a closely related field. The minimum requirement is a Ph.D. in a scientific and/or research discipline related to the research projects. Preferred qualifications include demonstrated expertise in structural health monitoring, system identification, and signal processing; proficiency with structural dynamics and programming environments such as MATLAB and Python; experience with statistical and machine-learning techniques applied to time-series or spatial data; strong organizational skills; excellent written and oral communication skills evidenced by peer-reviewed publications or conference presentations; and the ability to work independently and collaboratively in a diverse research team.
How to apply
Apply through the Howard University Workday job posting using the application link provided. Prepare materials showing your Ph.D., relevant research experience, publications or presentations, and technical skills in SHM, signal processing, and data analysis. Submit the application in the portal and follow any instructions in the posting.
Make your next move.
Prepare your application
Review drafts and confirm requirements with the university.
Make your next move.
Prepare your application
Review drafts and confirm requirements with the university.