Job description

The Division of Highway and Railway Engineering is seeking a motivated and collaborative postdoctoral for a project on developing machine learning tools for pavement management. The project is conducted in collaboration with the Swedish Transport Administration and partners from the road industry.

The project aims to create data-driven decision support tools for predicting pavement performance and planning maintenance and reinforcement. It will build on extensive pavement performance datasets and apply advanced machine learning and statistical methods to generate predictions and assess the effectiveness of different maintenance and reinforcement strategies. The postdoc will lead work on extracting and analyzing pavement condition and traffic data, integrating them with climate and environmental datasets, and developing validated predictive models of pavement deterioration.

The position is research-focused, with opportunities to strengt...