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Participating Agencies

RAP opportunity at Federal Highway Administration     FHWA

Use of Data Science in Asphalt Materials


Federal Highway Administration

opportunity location
27.01.00.C0208 McLean, VA 221012296


name email phone
David Jonathan Mensching 202.493.3232


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.

key words
Artificial neural network; Machine learning; Pavement performance; Pavement prediction; Laboratory evaluation; Asphalt concrete; Asphalt mixture; Asphalt;


Citizenship:  Open to U.S. citizens, permanent residents and non-U.S. citizens
Level:  Open to Postdoctoral and Senior applicants


Base Stipend Travel Allotment Supplementation
$67,000.00 $4,000.00

Experience Supplement:
Postdoctoral and Senior Associates will receive an appropriately higher stipend based on the number of years of experience past their PhD.

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