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 awardees will receive an appropriately higher stipend based on the number of years of experience past their PhD.
Awardees who reside more than 50 miles from their host laboratory and remain on tenure for at least six months are eligible for paid relocation to within the vicinity of their host laboratory.
A group health insurance program is available to awardees and their qualifying dependents in the United States.