Post Doctoral Research Associate -2

Principal responsibilities include: Support the center's mission by managing and executing research activities on transportation infrastructure safety, research implementation, and technology transfer initiatives. Collaborate with internal faculty, researchers, and external partners to plan and carry out research to design, implement, and validate structural health monitoring (SHM) methods. Conduct field deployments; process large-scale time-series data; apply statistical, machine-learning, computer vision, and signal-processing methods to detect damage or degradation. Contribute to proposal writing, technical reports, presentations, and peer-reviewed publications. Facilitate workshops, seminars, and public engagement events related to transportation engineering. Assist in meeting all reporting requirements for sponsored research projects.

Core competencies include: Ph.D. in Civil Engineering, Structural Engineering, or a closely related field. Demonstrated expertise in structural health monitoring, system identification, and signal processing. Proficiency with system identification methods, structural dynamics, and programming environments (e.g., MATLAB, Python).Experience with statistical and machine-learning techniques applied to time-series or spatial data. Strong organizational skills: ability to manage multiple tasks, adhere to deadlines, and collaborate across disciplines. Excellent written and oral communication skills, evidenced by peer-reviewed publications or conference presentations. Ability to work both independently and as part of a diverse research team.

Minimum requirements include: Ph.D. in a scientific and/or research discipline related to the research projects. Compliance salary range disclosure: $60,000-$70,000