Pavement Data Scientist: Performance Modeling & Stats

University of New Hampshire; United States; On-site; USD 39,000 - 55,000; Part time

Job summary

University of New Hampshire is seeking an hourly research analyst (part-time, 10-15 hours/week) to conduct advanced pavement performance analysis and statistical modelling of asphalt properties and field performance. You will support development of material property databases and prepare technical reports and conference or journal submissions.

The role involves collaboration with graduate students, in-person weekly meetings in Durham, and dissemination of findings to project sponsors.

Qualifications

• PhD in Civil and Environmental Engineering or equivalent.
• Demonstrated experience in advanced pavement performance modelling.
• Demonstrated experience in advanced statistical analysis and modelling of pavement material properties and field data.
• First author publication in high impact civil engineering journals.

Responsibilities

• Pavement Performance Modelling: convert field data into performance indices and run mechanistic-empirical analyses.
• Statistical Analyses: organize data, detect outliers, perform correlations and univariate/bivariate analyses.
• Material Property/pavement Predictor Screening: identify reliable predictor variables and validate models.
• Deliverable Development: produce technical reports, papers, and presentations and present findings to sponsors.

Skills

Statistical analysis

Python programming

Communication skills

Graduate student supervision

Education

Doctorate in Civil and Environmental Engineering

Tools

Pathways

Pathweb

Database management systems

Job description

University of New Hampshire is seeking an hourly research analyst (part-time, 10-15 hours/week) to conduct advanced pavement performance analysis and statistical modelling of asphalt properties and field performance. You will support development of material property databases and prepare technical reports and conference or journal submissions.

The role involves collaboration with graduate students, in-person weekly meetings in Durham, and dissemination of findings to project sponsors.