Use of Data Science in Asphalt Materials
Federal Highway Administration
The Federal Highway Administration's Turner-Fairbank Highway Research Center (TFHRC) is seeking a postdoctoral associate with an expertise in applying machine learning to asphalt materials. The ideal candidate possesses specialized experience with respect to:
The use of machine learning offers potential to the asphalt pavement community. Additionally, TFHRC offers a unique dataset to advance this important topic, including but not limited to performance information from the Long-Term Pavement Performance database and the Asphalt Binder and Mixture Laboratory (ABML) at TFHRC. Possible applications include characterization of emerging technologies and additives, optimizing construction processes, and long-term pavement performance prediction. The associate will be expected to advance FHWA's goals in data science applications to asphalt materials.
Experience Supplement: Postdoctoral and Senior Associates will receive an appropriately higher stipend based on the number of years of experience past their PhD.