Postdoctoral SHM Researcher – Transportation Infrastructure

HU101 The Howard University; United States; On-site; USD 60,000 - 70,000; Full time

Benefits offered by this job

Health insurance

PTO

Flexible work

403(b) match

Tuition reimbursement

Career development

Wellness programs

Commuter benefits

Vibrant culture

Job summary

Howard University in Washington, DC, seeks a highly qualified Postdoctoral Research Associate to advance structural health monitoring of transportation infrastructure. The role leads federally funded projects and develops sensing, data analysis, and system-identifier techniques.

You will collaborate with faculty, researchers, and external partners, deploy SHM methods in the field, process large time-series data, and contribute to proposals, reports, and peer‑reviewed publications.

Qualifications

• Ph.D. in a scientific and/or research discipline related to the research projects.
• Demonstrated expertise in structural health monitoring, system identification, and signal processing.
• Proficiency with system identification methods, structural dynamics, and programming environments (MATLAB, Python).

Responsibilities

• Lead and support federally funded SHM projects for transportation infrastructure.
• Design, implement, and validate SHM methods; deploy field sensors.
• Process large-scale time-series data; apply statistical, machine-learning, and signal-processing methods to detect damage.
• Contribute to proposals, technical reports, presentations, and peer-reviewed publications.
• Facilitate workshops, seminars, and public engagement events related to transportation engineering.

Skills

signal processing

machine learning

structural health monitoring

system identification

MATLAB

Python

time-series analysis

Education

Ph.D. in Civil Engineering or Structural Engineering

Tools

MATLAB

Python

Job description

Howard University in Washington, DC, seeks a highly qualified Postdoctoral Research Associate to advance structural health monitoring of transportation infrastructure. The role leads federally funded projects and develops sensing, data analysis, and system-identifier techniques.

You will collaborate with faculty, researchers, and external partners, deploy SHM methods in the field, process large time-series data, and contribute to proposals, reports, and peer‑reviewed publications.